Assessing heavy metal contamination and ecological risk in Poyang Lake area, China
Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xie, Zhenglei [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2016 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Environmental earth sciences - Berlin : Springer, 2009, 75(2016), 7 vom: 25. März |
|---|---|
| Übergeordnetes Werk: |
volume:75 ; year:2016 ; number:7 ; day:25 ; month:03 |
| Links: |
|---|
| DOI / URN: |
10.1007/s12665-015-5240-7 |
|---|
| Katalog-ID: |
SPR026728869 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR026728869 | ||
| 003 | DE-627 | ||
| 005 | 20230401020239.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 201007s2016 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s12665-015-5240-7 |2 doi | |
| 035 | |a (DE-627)SPR026728869 | ||
| 035 | |a (SPR)s12665-015-5240-7-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Xie, Zhenglei |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Assessing heavy metal contamination and ecological risk in Poyang Lake area, China |
| 264 | 1 | |c 2016 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © Springer-Verlag Berlin Heidelberg 2016 | ||
| 520 | |a Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. | ||
| 650 | 4 | |a Heavy metal |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Potential ecological risk |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Lake sediments |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Poyang Lake area |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Jiang, Yinghui |4 aut | |
| 700 | 1 | |a Zhang, Hezi |4 aut | |
| 700 | 1 | |a Wang, Dan |4 aut | |
| 700 | 1 | |a Qi, Shuhua |4 aut | |
| 700 | 1 | |a Du, Zebing |4 aut | |
| 700 | 1 | |a Zhang, Hua |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Environmental earth sciences |d Berlin : Springer, 2009 |g 75(2016), 7 vom: 25. März |w (DE-627)599673451 |w (DE-600)2493699-6 |x 1866-6299 |7 nnns |
| 773 | 1 | 8 | |g volume:75 |g year:2016 |g number:7 |g day:25 |g month:03 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1007/s12665-015-5240-7 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_SPRINGER | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_20 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_23 | ||
| 912 | |a GBV_ILN_24 | ||
| 912 | |a GBV_ILN_31 | ||
| 912 | |a GBV_ILN_32 | ||
| 912 | |a GBV_ILN_39 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_63 | ||
| 912 | |a GBV_ILN_65 | ||
| 912 | |a GBV_ILN_69 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_73 | ||
| 912 | |a GBV_ILN_74 | ||
| 912 | |a GBV_ILN_90 | ||
| 912 | |a GBV_ILN_95 | ||
| 912 | |a GBV_ILN_100 | ||
| 912 | |a GBV_ILN_105 | ||
| 912 | |a GBV_ILN_110 | ||
| 912 | |a GBV_ILN_120 | ||
| 912 | |a GBV_ILN_138 | ||
| 912 | |a GBV_ILN_150 | ||
| 912 | |a GBV_ILN_151 | ||
| 912 | |a GBV_ILN_152 | ||
| 912 | |a GBV_ILN_161 | ||
| 912 | |a GBV_ILN_170 | ||
| 912 | |a GBV_ILN_171 | ||
| 912 | |a GBV_ILN_187 | ||
| 912 | |a GBV_ILN_213 | ||
| 912 | |a GBV_ILN_224 | ||
| 912 | |a GBV_ILN_230 | ||
| 912 | |a GBV_ILN_250 | ||
| 912 | |a GBV_ILN_281 | ||
| 912 | |a GBV_ILN_285 | ||
| 912 | |a GBV_ILN_293 | ||
| 912 | |a GBV_ILN_370 | ||
| 912 | |a GBV_ILN_602 | ||
| 912 | |a GBV_ILN_636 | ||
| 912 | |a GBV_ILN_702 | ||
| 912 | |a GBV_ILN_2001 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2004 | ||
| 912 | |a GBV_ILN_2005 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_2007 | ||
| 912 | |a GBV_ILN_2008 | ||
| 912 | |a GBV_ILN_2009 | ||
| 912 | |a GBV_ILN_2010 | ||
| 912 | |a GBV_ILN_2011 | ||
| 912 | |a GBV_ILN_2014 | ||
| 912 | |a GBV_ILN_2015 | ||
| 912 | |a GBV_ILN_2020 | ||
| 912 | |a GBV_ILN_2021 | ||
| 912 | |a GBV_ILN_2025 | ||
| 912 | |a GBV_ILN_2026 | ||
| 912 | |a GBV_ILN_2027 | ||
| 912 | |a GBV_ILN_2031 | ||
| 912 | |a GBV_ILN_2034 | ||
| 912 | |a GBV_ILN_2037 | ||
| 912 | |a GBV_ILN_2038 | ||
| 912 | |a GBV_ILN_2039 | ||
| 912 | |a GBV_ILN_2044 | ||
| 912 | |a GBV_ILN_2048 | ||
| 912 | |a GBV_ILN_2049 | ||
| 912 | |a GBV_ILN_2050 | ||
| 912 | |a GBV_ILN_2055 | ||
| 912 | |a GBV_ILN_2057 | ||
| 912 | |a GBV_ILN_2059 | ||
| 912 | |a GBV_ILN_2061 | ||
| 912 | |a GBV_ILN_2064 | ||
| 912 | |a GBV_ILN_2065 | ||
| 912 | |a GBV_ILN_2068 | ||
| 912 | |a GBV_ILN_2070 | ||
| 912 | |a GBV_ILN_2086 | ||
| 912 | |a GBV_ILN_2088 | ||
| 912 | |a GBV_ILN_2093 | ||
| 912 | |a GBV_ILN_2106 | ||
| 912 | |a GBV_ILN_2107 | ||
| 912 | |a GBV_ILN_2108 | ||
| 912 | |a GBV_ILN_2110 | ||
| 912 | |a GBV_ILN_2111 | ||
| 912 | |a GBV_ILN_2112 | ||
| 912 | |a GBV_ILN_2113 | ||
| 912 | |a GBV_ILN_2116 | ||
| 912 | |a GBV_ILN_2118 | ||
| 912 | |a GBV_ILN_2119 | ||
| 912 | |a GBV_ILN_2122 | ||
| 912 | |a GBV_ILN_2129 | ||
| 912 | |a GBV_ILN_2143 | ||
| 912 | |a GBV_ILN_2144 | ||
| 912 | |a GBV_ILN_2147 | ||
| 912 | |a GBV_ILN_2148 | ||
| 912 | |a GBV_ILN_2152 | ||
| 912 | |a GBV_ILN_2153 | ||
| 912 | |a GBV_ILN_2188 | ||
| 912 | |a GBV_ILN_2190 | ||
| 912 | |a GBV_ILN_2232 | ||
| 912 | |a GBV_ILN_2336 | ||
| 912 | |a GBV_ILN_2360 | ||
| 912 | |a GBV_ILN_2446 | ||
| 912 | |a GBV_ILN_2470 | ||
| 912 | |a GBV_ILN_2472 | ||
| 912 | |a GBV_ILN_2507 | ||
| 912 | |a GBV_ILN_2522 | ||
| 912 | |a GBV_ILN_2548 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4035 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4046 | ||
| 912 | |a GBV_ILN_4112 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4126 | ||
| 912 | |a GBV_ILN_4242 | ||
| 912 | |a GBV_ILN_4246 | ||
| 912 | |a GBV_ILN_4249 | ||
| 912 | |a GBV_ILN_4251 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4306 | ||
| 912 | |a GBV_ILN_4307 | ||
| 912 | |a GBV_ILN_4313 | ||
| 912 | |a GBV_ILN_4322 | ||
| 912 | |a GBV_ILN_4323 | ||
| 912 | |a GBV_ILN_4324 | ||
| 912 | |a GBV_ILN_4325 | ||
| 912 | |a GBV_ILN_4326 | ||
| 912 | |a GBV_ILN_4333 | ||
| 912 | |a GBV_ILN_4334 | ||
| 912 | |a GBV_ILN_4335 | ||
| 912 | |a GBV_ILN_4336 | ||
| 912 | |a GBV_ILN_4338 | ||
| 912 | |a GBV_ILN_4393 | ||
| 912 | |a GBV_ILN_4700 | ||
| 951 | |a AR | ||
| 952 | |d 75 |j 2016 |e 7 |b 25 |c 03 | ||
| author_variant |
z x zx y j yj h z hz d w dw s q sq z d zd h z hz |
|---|---|
| matchkey_str |
article:18666299:2016----::sesnhayeacnaiainneooiarsi |
| hierarchy_sort_str |
2016 |
| publishDate |
2016 |
| allfields |
10.1007/s12665-015-5240-7 doi (DE-627)SPR026728869 (SPR)s12665-015-5240-7-e DE-627 ger DE-627 rakwb eng Xie, Zhenglei verfasserin aut Assessing heavy metal contamination and ecological risk in Poyang Lake area, China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. Heavy metal (dpeaa)DE-He213 Potential ecological risk (dpeaa)DE-He213 Lake sediments (dpeaa)DE-He213 Poyang Lake area (dpeaa)DE-He213 Jiang, Yinghui aut Zhang, Hezi aut Wang, Dan aut Qi, Shuhua aut Du, Zebing aut Zhang, Hua aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 75(2016), 7 vom: 25. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:75 year:2016 number:7 day:25 month:03 https://dx.doi.org/10.1007/s12665-015-5240-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2016 7 25 03 |
| spelling |
10.1007/s12665-015-5240-7 doi (DE-627)SPR026728869 (SPR)s12665-015-5240-7-e DE-627 ger DE-627 rakwb eng Xie, Zhenglei verfasserin aut Assessing heavy metal contamination and ecological risk in Poyang Lake area, China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. Heavy metal (dpeaa)DE-He213 Potential ecological risk (dpeaa)DE-He213 Lake sediments (dpeaa)DE-He213 Poyang Lake area (dpeaa)DE-He213 Jiang, Yinghui aut Zhang, Hezi aut Wang, Dan aut Qi, Shuhua aut Du, Zebing aut Zhang, Hua aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 75(2016), 7 vom: 25. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:75 year:2016 number:7 day:25 month:03 https://dx.doi.org/10.1007/s12665-015-5240-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2016 7 25 03 |
| allfields_unstemmed |
10.1007/s12665-015-5240-7 doi (DE-627)SPR026728869 (SPR)s12665-015-5240-7-e DE-627 ger DE-627 rakwb eng Xie, Zhenglei verfasserin aut Assessing heavy metal contamination and ecological risk in Poyang Lake area, China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. Heavy metal (dpeaa)DE-He213 Potential ecological risk (dpeaa)DE-He213 Lake sediments (dpeaa)DE-He213 Poyang Lake area (dpeaa)DE-He213 Jiang, Yinghui aut Zhang, Hezi aut Wang, Dan aut Qi, Shuhua aut Du, Zebing aut Zhang, Hua aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 75(2016), 7 vom: 25. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:75 year:2016 number:7 day:25 month:03 https://dx.doi.org/10.1007/s12665-015-5240-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2016 7 25 03 |
| allfieldsGer |
10.1007/s12665-015-5240-7 doi (DE-627)SPR026728869 (SPR)s12665-015-5240-7-e DE-627 ger DE-627 rakwb eng Xie, Zhenglei verfasserin aut Assessing heavy metal contamination and ecological risk in Poyang Lake area, China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. Heavy metal (dpeaa)DE-He213 Potential ecological risk (dpeaa)DE-He213 Lake sediments (dpeaa)DE-He213 Poyang Lake area (dpeaa)DE-He213 Jiang, Yinghui aut Zhang, Hezi aut Wang, Dan aut Qi, Shuhua aut Du, Zebing aut Zhang, Hua aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 75(2016), 7 vom: 25. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:75 year:2016 number:7 day:25 month:03 https://dx.doi.org/10.1007/s12665-015-5240-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2016 7 25 03 |
| allfieldsSound |
10.1007/s12665-015-5240-7 doi (DE-627)SPR026728869 (SPR)s12665-015-5240-7-e DE-627 ger DE-627 rakwb eng Xie, Zhenglei verfasserin aut Assessing heavy metal contamination and ecological risk in Poyang Lake area, China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. Heavy metal (dpeaa)DE-He213 Potential ecological risk (dpeaa)DE-He213 Lake sediments (dpeaa)DE-He213 Poyang Lake area (dpeaa)DE-He213 Jiang, Yinghui aut Zhang, Hezi aut Wang, Dan aut Qi, Shuhua aut Du, Zebing aut Zhang, Hua aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 75(2016), 7 vom: 25. März (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:75 year:2016 number:7 day:25 month:03 https://dx.doi.org/10.1007/s12665-015-5240-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2016 7 25 03 |
| language |
English |
| source |
Enthalten in Environmental earth sciences 75(2016), 7 vom: 25. März volume:75 year:2016 number:7 day:25 month:03 |
| sourceStr |
Enthalten in Environmental earth sciences 75(2016), 7 vom: 25. März volume:75 year:2016 number:7 day:25 month:03 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Heavy metal Potential ecological risk Lake sediments Poyang Lake area |
| isfreeaccess_bool |
false |
| container_title |
Environmental earth sciences |
| authorswithroles_txt_mv |
Xie, Zhenglei @@aut@@ Jiang, Yinghui @@aut@@ Zhang, Hezi @@aut@@ Wang, Dan @@aut@@ Qi, Shuhua @@aut@@ Du, Zebing @@aut@@ Zhang, Hua @@aut@@ |
| publishDateDaySort_date |
2016-03-25T00:00:00Z |
| hierarchy_top_id |
599673451 |
| id |
SPR026728869 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR026728869</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230401020239.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12665-015-5240-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR026728869</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12665-015-5240-7-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Xie, Zhenglei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Assessing heavy metal contamination and ecological risk in Poyang Lake area, China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag Berlin Heidelberg 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Heavy metal</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Potential ecological risk</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lake sediments</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poyang Lake area</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Yinghui</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Hezi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Dan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qi, Shuhua</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Du, Zebing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Hua</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental earth sciences</subfield><subfield code="d">Berlin : Springer, 2009</subfield><subfield code="g">75(2016), 7 vom: 25. März</subfield><subfield code="w">(DE-627)599673451</subfield><subfield code="w">(DE-600)2493699-6</subfield><subfield code="x">1866-6299</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:75</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:7</subfield><subfield code="g">day:25</subfield><subfield code="g">month:03</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12665-015-5240-7</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2070</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2086</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2116</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2360</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">75</subfield><subfield code="j">2016</subfield><subfield code="e">7</subfield><subfield code="b">25</subfield><subfield code="c">03</subfield></datafield></record></collection>
|
| author |
Xie, Zhenglei |
| spellingShingle |
Xie, Zhenglei misc Heavy metal misc Potential ecological risk misc Lake sediments misc Poyang Lake area Assessing heavy metal contamination and ecological risk in Poyang Lake area, China |
| authorStr |
Xie, Zhenglei |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)599673451 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut aut aut aut |
| collection |
springer |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
1866-6299 |
| topic_title |
Assessing heavy metal contamination and ecological risk in Poyang Lake area, China Heavy metal (dpeaa)DE-He213 Potential ecological risk (dpeaa)DE-He213 Lake sediments (dpeaa)DE-He213 Poyang Lake area (dpeaa)DE-He213 |
| topic |
misc Heavy metal misc Potential ecological risk misc Lake sediments misc Poyang Lake area |
| topic_unstemmed |
misc Heavy metal misc Potential ecological risk misc Lake sediments misc Poyang Lake area |
| topic_browse |
misc Heavy metal misc Potential ecological risk misc Lake sediments misc Poyang Lake area |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Environmental earth sciences |
| hierarchy_parent_id |
599673451 |
| hierarchy_top_title |
Environmental earth sciences |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)599673451 (DE-600)2493699-6 |
| title |
Assessing heavy metal contamination and ecological risk in Poyang Lake area, China |
| ctrlnum |
(DE-627)SPR026728869 (SPR)s12665-015-5240-7-e |
| title_full |
Assessing heavy metal contamination and ecological risk in Poyang Lake area, China |
| author_sort |
Xie, Zhenglei |
| journal |
Environmental earth sciences |
| journalStr |
Environmental earth sciences |
| lang_code |
eng |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
txt |
| author_browse |
Xie, Zhenglei Jiang, Yinghui Zhang, Hezi Wang, Dan Qi, Shuhua Du, Zebing Zhang, Hua |
| container_volume |
75 |
| format_se |
Elektronische Aufsätze |
| author-letter |
Xie, Zhenglei |
| doi_str_mv |
10.1007/s12665-015-5240-7 |
| title_sort |
assessing heavy metal contamination and ecological risk in poyang lake area, china |
| title_auth |
Assessing heavy metal contamination and ecological risk in Poyang Lake area, China |
| abstract |
Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. © Springer-Verlag Berlin Heidelberg 2016 |
| abstractGer |
Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. © Springer-Verlag Berlin Heidelberg 2016 |
| abstract_unstemmed |
Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world. © Springer-Verlag Berlin Heidelberg 2016 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 |
| container_issue |
7 |
| title_short |
Assessing heavy metal contamination and ecological risk in Poyang Lake area, China |
| url |
https://dx.doi.org/10.1007/s12665-015-5240-7 |
| remote_bool |
true |
| author2 |
Jiang, Yinghui Zhang, Hezi Wang, Dan Qi, Shuhua Du, Zebing Zhang, Hua |
| author2Str |
Jiang, Yinghui Zhang, Hezi Wang, Dan Qi, Shuhua Du, Zebing Zhang, Hua |
| ppnlink |
599673451 |
| mediatype_str_mv |
c |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s12665-015-5240-7 |
| up_date |
2024-07-03T22:25:42.394Z |
| _version_ |
1803598474671816704 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR026728869</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230401020239.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12665-015-5240-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR026728869</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12665-015-5240-7-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Xie, Zhenglei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Assessing heavy metal contamination and ecological risk in Poyang Lake area, China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag Berlin Heidelberg 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Investigating the mechanisms that influence the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, and Cd) and possible sources of these elements is vital in developing lake management strategies and conserving lake ecosystems. This is the first systematic research focusing on the content, distribution, and origin of heavy metals in Poyang Lake area, the largest freshwater lake in China. Samples were collected, and the concentration of trace elements was measured. The distribution, sources, and potential ecological risk, which has undergone rapid economic development and intensive anthropogenic activity, was evaluated. Multivariate statistical analyses were carried out to determine the relationship between these trace elements and to identify the possible pollution sources. Assessment methods were carried out by applying the geoaccumulation index (Igeo) along with potential ecological risk indices (PERI) and USEPA guidelines. The results show that: (1) in comparison to Chinese Soil Standard I, the study area was polluted with Cd and Cr, which had an average concentration that was higher than the Class I criteria. However, the results showed that the heavy metal concentration of Cd was lower than that in other areas. (2) The correlation analysis indicates that Pb and Cd may potentially have the same pollution source. (3) The geoaccumulation (Igeo) and potential ecological risk index (PERI) of these metals were evaluated. The average pollution degree of Igeo decreased in the following order: Cd > Cr > Ni > Cu > Zn > Pb > As, which is similar to that observed from the EF values. PERI varied between 48.64 and 453.45 for all metals, and the general average was calculated as 113.71. Both Igeo and ER indicate that the study area was polluted by Cd. The results of FA show that 87.90 % of the variance could be explained by three factors and an independent variable. The research results obtained from this study can provide the scientific impetus to create policies for the economic development and environmental protection in Poyang Lake and other areas of the world.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Heavy metal</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Potential ecological risk</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lake sediments</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poyang Lake area</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Yinghui</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Hezi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Dan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qi, Shuhua</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Du, Zebing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Hua</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental earth sciences</subfield><subfield code="d">Berlin : Springer, 2009</subfield><subfield code="g">75(2016), 7 vom: 25. März</subfield><subfield code="w">(DE-627)599673451</subfield><subfield code="w">(DE-600)2493699-6</subfield><subfield code="x">1866-6299</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:75</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:7</subfield><subfield code="g">day:25</subfield><subfield code="g">month:03</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12665-015-5240-7</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2070</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2086</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2116</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2360</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">75</subfield><subfield code="j">2016</subfield><subfield code="e">7</subfield><subfield code="b">25</subfield><subfield code="c">03</subfield></datafield></record></collection>
|
| score |
7.3973236 |