Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs
Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of wat...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Jinsong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2015 |
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| Übergeordnetes Werk: |
Enthalten in: Bulletin of environmental contamination and toxicology - New York, NY : Springer, 1966, 94(2015), 5 vom: 27. März, Seite 633-639 |
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| Übergeordnetes Werk: |
volume:94 ; year:2015 ; number:5 ; day:27 ; month:03 ; pages:633-639 |
| Links: |
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| DOI / URN: |
10.1007/s00128-015-1525-5 |
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| Katalog-ID: |
SPR001099701 |
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| 100 | 1 | |a Chen, Jinsong |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs |
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| 520 | |a Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. | ||
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| 650 | 4 | |a Nitrous oxide saturation |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Cao, Wenzhi |4 aut | |
| 700 | 1 | |a Cao, Di |4 aut | |
| 700 | 1 | |a Huang, Zheng |4 aut | |
| 700 | 1 | |a Liang, Ying |4 aut | |
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10.1007/s00128-015-1525-5 doi (DE-627)SPR001099701 (SPR)s00128-015-1525-5-e DE-627 ger DE-627 rakwb eng Chen, Jinsong verfasserin aut Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. Nutrients input (dpeaa)DE-He213 Nitrous oxide saturation (dpeaa)DE-He213 Water bodies (dpeaa)DE-He213 Nitrous oxide emission rate (dpeaa)DE-He213 Cao, Wenzhi aut Cao, Di aut Huang, Zheng aut Liang, Ying aut Enthalten in Bulletin of environmental contamination and toxicology New York, NY : Springer, 1966 94(2015), 5 vom: 27. März, Seite 633-639 (DE-627)253390362 (DE-600)1458480-3 1432-0800 nnns volume:94 year:2015 number:5 day:27 month:03 pages:633-639 https://dx.doi.org/10.1007/s00128-015-1525-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_267 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 94 2015 5 27 03 633-639 |
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10.1007/s00128-015-1525-5 doi (DE-627)SPR001099701 (SPR)s00128-015-1525-5-e DE-627 ger DE-627 rakwb eng Chen, Jinsong verfasserin aut Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. Nutrients input (dpeaa)DE-He213 Nitrous oxide saturation (dpeaa)DE-He213 Water bodies (dpeaa)DE-He213 Nitrous oxide emission rate (dpeaa)DE-He213 Cao, Wenzhi aut Cao, Di aut Huang, Zheng aut Liang, Ying aut Enthalten in Bulletin of environmental contamination and toxicology New York, NY : Springer, 1966 94(2015), 5 vom: 27. März, Seite 633-639 (DE-627)253390362 (DE-600)1458480-3 1432-0800 nnns volume:94 year:2015 number:5 day:27 month:03 pages:633-639 https://dx.doi.org/10.1007/s00128-015-1525-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_267 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 94 2015 5 27 03 633-639 |
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10.1007/s00128-015-1525-5 doi (DE-627)SPR001099701 (SPR)s00128-015-1525-5-e DE-627 ger DE-627 rakwb eng Chen, Jinsong verfasserin aut Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. Nutrients input (dpeaa)DE-He213 Nitrous oxide saturation (dpeaa)DE-He213 Water bodies (dpeaa)DE-He213 Nitrous oxide emission rate (dpeaa)DE-He213 Cao, Wenzhi aut Cao, Di aut Huang, Zheng aut Liang, Ying aut Enthalten in Bulletin of environmental contamination and toxicology New York, NY : Springer, 1966 94(2015), 5 vom: 27. März, Seite 633-639 (DE-627)253390362 (DE-600)1458480-3 1432-0800 nnns volume:94 year:2015 number:5 day:27 month:03 pages:633-639 https://dx.doi.org/10.1007/s00128-015-1525-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_267 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 94 2015 5 27 03 633-639 |
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10.1007/s00128-015-1525-5 doi (DE-627)SPR001099701 (SPR)s00128-015-1525-5-e DE-627 ger DE-627 rakwb eng Chen, Jinsong verfasserin aut Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. Nutrients input (dpeaa)DE-He213 Nitrous oxide saturation (dpeaa)DE-He213 Water bodies (dpeaa)DE-He213 Nitrous oxide emission rate (dpeaa)DE-He213 Cao, Wenzhi aut Cao, Di aut Huang, Zheng aut Liang, Ying aut Enthalten in Bulletin of environmental contamination and toxicology New York, NY : Springer, 1966 94(2015), 5 vom: 27. März, Seite 633-639 (DE-627)253390362 (DE-600)1458480-3 1432-0800 nnns volume:94 year:2015 number:5 day:27 month:03 pages:633-639 https://dx.doi.org/10.1007/s00128-015-1525-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_267 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 94 2015 5 27 03 633-639 |
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10.1007/s00128-015-1525-5 doi (DE-627)SPR001099701 (SPR)s00128-015-1525-5-e DE-627 ger DE-627 rakwb eng Chen, Jinsong verfasserin aut Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2015 Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. Nutrients input (dpeaa)DE-He213 Nitrous oxide saturation (dpeaa)DE-He213 Water bodies (dpeaa)DE-He213 Nitrous oxide emission rate (dpeaa)DE-He213 Cao, Wenzhi aut Cao, Di aut Huang, Zheng aut Liang, Ying aut Enthalten in Bulletin of environmental contamination and toxicology New York, NY : Springer, 1966 94(2015), 5 vom: 27. März, Seite 633-639 (DE-627)253390362 (DE-600)1458480-3 1432-0800 nnns volume:94 year:2015 number:5 day:27 month:03 pages:633-639 https://dx.doi.org/10.1007/s00128-015-1525-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_267 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 94 2015 5 27 03 633-639 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR001099701</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519143836.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00128-015-1525-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR001099701</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00128-015-1525-5-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">Chen, Jinsong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</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 Science+Business Media New York 2015</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. 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Chen, Jinsong |
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Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs Nutrients input (dpeaa)DE-He213 Nitrous oxide saturation (dpeaa)DE-He213 Water bodies (dpeaa)DE-He213 Nitrous oxide emission rate (dpeaa)DE-He213 |
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nitrogen loading and nitrous oxide emissions from a river with multiple hydroelectric reservoirs |
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Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs |
| abstract |
Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. © Springer Science+Business Media New York 2015 |
| abstractGer |
Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. © Springer Science+Business Media New York 2015 |
| abstract_unstemmed |
Abstract River networks receive a large fraction of the anthropogenic nitrogen applied to river catchments. The different impacts of the stream nitrogen (N) loading on nitrous oxide ($ N_{2} $O) emissions from various of aquatic ecosystems are still unknown. In this study, direct measurements of water–air interface $ N_{2} $O exchange in different water bodies were conducted. Results showed that the water–air interface $ N_{2} $O exchange from tributaries, hydropower station reservoirs, a main stream, and its estuary were 10.14 ± 13.51, 15.64 ± 10.72, 27.59 ± 20.99, and 15.98 ± 12.26 µg $ N_{2} $O-N $ m^{−2} $ $ h^{−1} $, respectively, indicating the strong impacts of human activities on $ N_{2} $O emission rates. The water $ NO_{2} $−-N values predicted the dissolved $ N_{2} $O concentrations better than did the $ NO_{3} $−-N and $ NH_{4} $+-N values, indicating strong denitrification and nitrification processes. The dissolved inorganic N explained 36 % of the variations in the $ N_{2} $O emissions for the whole river network. © Springer Science+Business Media New York 2015 |
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| container_issue |
5 |
| title_short |
Nitrogen Loading and Nitrous Oxide Emissions from a River with Multiple Hydroelectric Reservoirs |
| url |
https://dx.doi.org/10.1007/s00128-015-1525-5 |
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| author2 |
Cao, Wenzhi Cao, Di Huang, Zheng Liang, Ying |
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| doi_str |
10.1007/s00128-015-1525-5 |
| up_date |
2024-07-03T20:22:30.776Z |
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| score |
7.399618 |