Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China
Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Haijuan [verfasserIn] Xiao, Qiong [verfasserIn] Miao, Ying [verfasserIn] Wang, Zhijun [verfasserIn] Wang, Qigang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Environmental science and pollution research - Berlin : Springer, 1994, 27(2020), 17 vom: 08. Apr., Seite 21299-21310 |
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| Übergeordnetes Werk: |
volume:27 ; year:2020 ; number:17 ; day:08 ; month:04 ; pages:21299-21310 |
| Links: |
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| DOI / URN: |
10.1007/s11356-020-08612-8 |
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SPR039806421 |
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| 245 | 1 | 0 | |a Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China |
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| 520 | |a Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. | ||
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| 650 | 4 | |a Carbonate rock weathering |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Miao, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Zhijun |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Qigang |e verfasserin |4 aut | |
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10.1007/s11356-020-08612-8 doi (DE-627)SPR039806421 (SPR)s11356-020-08612-8-e DE-627 ger DE-627 rakwb eng 333.7 690 ASE 43.00 bkl 43.50 bkl 58.50 bkl Zhao, Haijuan verfasserin aut Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. NO (dpeaa)DE-He213 isotopes (dpeaa)DE-He213 Bayesian isotope mixing model (dpeaa)DE-He213 Nitrification (dpeaa)DE-He213 Carbonate rock weathering (dpeaa)DE-He213 Lijiang River (dpeaa)DE-He213 Karst surface water (dpeaa)DE-He213 Xiao, Qiong verfasserin aut Miao, Ying verfasserin aut Wang, Zhijun verfasserin aut Wang, Qigang verfasserin aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 27(2020), 17 vom: 08. Apr., Seite 21299-21310 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:27 year:2020 number:17 day:08 month:04 pages:21299-21310 https://dx.doi.org/10.1007/s11356-020-08612-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE 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_381 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 43.50 ASE 58.50 ASE AR 27 2020 17 08 04 21299-21310 |
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10.1007/s11356-020-08612-8 doi (DE-627)SPR039806421 (SPR)s11356-020-08612-8-e DE-627 ger DE-627 rakwb eng 333.7 690 ASE 43.00 bkl 43.50 bkl 58.50 bkl Zhao, Haijuan verfasserin aut Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. NO (dpeaa)DE-He213 isotopes (dpeaa)DE-He213 Bayesian isotope mixing model (dpeaa)DE-He213 Nitrification (dpeaa)DE-He213 Carbonate rock weathering (dpeaa)DE-He213 Lijiang River (dpeaa)DE-He213 Karst surface water (dpeaa)DE-He213 Xiao, Qiong verfasserin aut Miao, Ying verfasserin aut Wang, Zhijun verfasserin aut Wang, Qigang verfasserin aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 27(2020), 17 vom: 08. Apr., Seite 21299-21310 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:27 year:2020 number:17 day:08 month:04 pages:21299-21310 https://dx.doi.org/10.1007/s11356-020-08612-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE 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_381 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 43.50 ASE 58.50 ASE AR 27 2020 17 08 04 21299-21310 |
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10.1007/s11356-020-08612-8 doi (DE-627)SPR039806421 (SPR)s11356-020-08612-8-e DE-627 ger DE-627 rakwb eng 333.7 690 ASE 43.00 bkl 43.50 bkl 58.50 bkl Zhao, Haijuan verfasserin aut Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. NO (dpeaa)DE-He213 isotopes (dpeaa)DE-He213 Bayesian isotope mixing model (dpeaa)DE-He213 Nitrification (dpeaa)DE-He213 Carbonate rock weathering (dpeaa)DE-He213 Lijiang River (dpeaa)DE-He213 Karst surface water (dpeaa)DE-He213 Xiao, Qiong verfasserin aut Miao, Ying verfasserin aut Wang, Zhijun verfasserin aut Wang, Qigang verfasserin aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 27(2020), 17 vom: 08. Apr., Seite 21299-21310 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:27 year:2020 number:17 day:08 month:04 pages:21299-21310 https://dx.doi.org/10.1007/s11356-020-08612-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE 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_381 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 43.50 ASE 58.50 ASE AR 27 2020 17 08 04 21299-21310 |
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10.1007/s11356-020-08612-8 doi (DE-627)SPR039806421 (SPR)s11356-020-08612-8-e DE-627 ger DE-627 rakwb eng 333.7 690 ASE 43.00 bkl 43.50 bkl 58.50 bkl Zhao, Haijuan verfasserin aut Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. NO (dpeaa)DE-He213 isotopes (dpeaa)DE-He213 Bayesian isotope mixing model (dpeaa)DE-He213 Nitrification (dpeaa)DE-He213 Carbonate rock weathering (dpeaa)DE-He213 Lijiang River (dpeaa)DE-He213 Karst surface water (dpeaa)DE-He213 Xiao, Qiong verfasserin aut Miao, Ying verfasserin aut Wang, Zhijun verfasserin aut Wang, Qigang verfasserin aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 27(2020), 17 vom: 08. Apr., Seite 21299-21310 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:27 year:2020 number:17 day:08 month:04 pages:21299-21310 https://dx.doi.org/10.1007/s11356-020-08612-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE 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_381 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 43.50 ASE 58.50 ASE AR 27 2020 17 08 04 21299-21310 |
| allfieldsSound |
10.1007/s11356-020-08612-8 doi (DE-627)SPR039806421 (SPR)s11356-020-08612-8-e DE-627 ger DE-627 rakwb eng 333.7 690 ASE 43.00 bkl 43.50 bkl 58.50 bkl Zhao, Haijuan verfasserin aut Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. NO (dpeaa)DE-He213 isotopes (dpeaa)DE-He213 Bayesian isotope mixing model (dpeaa)DE-He213 Nitrification (dpeaa)DE-He213 Carbonate rock weathering (dpeaa)DE-He213 Lijiang River (dpeaa)DE-He213 Karst surface water (dpeaa)DE-He213 Xiao, Qiong verfasserin aut Miao, Ying verfasserin aut Wang, Zhijun verfasserin aut Wang, Qigang verfasserin aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 27(2020), 17 vom: 08. Apr., Seite 21299-21310 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:27 year:2020 number:17 day:08 month:04 pages:21299-21310 https://dx.doi.org/10.1007/s11356-020-08612-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE 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_381 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 43.50 ASE 58.50 ASE AR 27 2020 17 08 04 21299-21310 |
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Enthalten in Environmental science and pollution research 27(2020), 17 vom: 08. Apr., Seite 21299-21310 volume:27 year:2020 number:17 day:08 month:04 pages:21299-21310 |
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NO isotopes Bayesian isotope mixing model Nitrification Carbonate rock weathering Lijiang River Karst surface water |
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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">SPR039806421</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111063532.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11356-020-08612-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR039806421</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11356-020-08612-8-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="082" ind1="0" ind2="4"><subfield code="a">333.7</subfield><subfield code="a">690</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.50</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">58.50</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhao, Haijuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</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="520" ind1=" " ind2=" "><subfield code="a">Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">NO</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">isotopes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian isotope mixing model</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nitrification</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Carbonate rock weathering</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lijiang River</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Karst surface water</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xiao, Qiong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Miao, Ying</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Zhijun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Qigang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental science and pollution research</subfield><subfield code="d">Berlin : Springer, 1994</subfield><subfield code="g">27(2020), 17 vom: 08. 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|
| author |
Zhao, Haijuan |
| spellingShingle |
Zhao, Haijuan ddc 333.7 bkl 43.00 bkl 43.50 bkl 58.50 misc NO misc isotopes misc Bayesian isotope mixing model misc Nitrification misc Carbonate rock weathering misc Lijiang River misc Karst surface water Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China |
| authorStr |
Zhao, Haijuan |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)320517926 |
| format |
electronic Article |
| dewey-ones |
333 - Economics of land & energy 690 - Buildings |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut aut |
| collection |
springer |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
1614-7499 |
| topic_title |
333.7 690 ASE 43.00 bkl 43.50 bkl 58.50 bkl Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China NO (dpeaa)DE-He213 isotopes (dpeaa)DE-He213 Bayesian isotope mixing model (dpeaa)DE-He213 Nitrification (dpeaa)DE-He213 Carbonate rock weathering (dpeaa)DE-He213 Lijiang River (dpeaa)DE-He213 Karst surface water (dpeaa)DE-He213 |
| topic |
ddc 333.7 bkl 43.00 bkl 43.50 bkl 58.50 misc NO misc isotopes misc Bayesian isotope mixing model misc Nitrification misc Carbonate rock weathering misc Lijiang River misc Karst surface water |
| topic_unstemmed |
ddc 333.7 bkl 43.00 bkl 43.50 bkl 58.50 misc NO misc isotopes misc Bayesian isotope mixing model misc Nitrification misc Carbonate rock weathering misc Lijiang River misc Karst surface water |
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Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China |
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Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China |
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Zhao, Haijuan |
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Environmental science and pollution research |
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Zhao, Haijuan Xiao, Qiong Miao, Ying Wang, Zhijun Wang, Qigang |
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sources and transformations of nitrate constrained by nitrate isotopes and bayesian model in karst surface water, guilin, southwest china |
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Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China |
| abstract |
Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. |
| abstractGer |
Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. |
| abstract_unstemmed |
Abstract Surface water suffering from nitrate ($ NO_{3} $−) contamination in karst area is not only harmful to human health as drinking water but can also affect the process of carbonate rock weathering, so it is crucial to trace the sources and transformations of $ NO_{3} $− in karst surface water. In this study, an investigation of water chemical data and $ NO_{3} $− isotopes ($ δ^{15} $N and $ δ^{18} $O) was used to elucidate the transformations of $ NO_{3} $− and quantify a proportional apportionment of $ NO_{3} $− sources of individual potential sources (incl. soil organic nitrogen (SON), atmospheric precipitation (AP), manure and sewage wastes (M&S), and chemical fertilizer (CF)) in the Lijiang River (typical karst surface water), Guilin, Southwest China. $ δ^{15} $N-$ NO_{3} $− and $ δ^{18} $O-$ NO_{3} $− values of water samples from the Lijiang River range from 2.14 to 13.50‰ (mean, 6.59‰) and from − 2.44 to 6.97‰ (mean, 3.76‰), respectively. A positive correlation between $ Cl^{−} $ and $ NO_{3} $− but no correlations between $ NO_{3} $− and $ δ^{15} $N-$ NO_{3} $− or $ δ^{18} $O-$ NO_{3} $− are found and the $ δ^{18} $O-$ NO_{3} $− values fitted the theoretical $ δ^{18} $O-$ NO_{3} $− values produced from nitrification, suggesting that the genesis of $ NO_{3} $− in waters of the Lijiang River is affected by nitrification processes and the mixing process has a major effect on $ NO_{3} $− transportation. Results of the Bayesian stable isotope mixing model show that the M&S and SON are the main $ NO_{3} $− source through the whole year (accounting for ~ 61% and 65% of the total $ NO_{3} $− in the wet and dry season, respectively), followed by CF (~ 29%). Furthermore, we find that nitrification of nitrogen in fertilizers, soil, and manure and sewage can promote the carbonate rock weathering. The estimated contribution of such nitrification to the weathering of carbonate rocks accounts for about 11% of the total carbonate rock weathering flux (calculated by $ HCO_{3} $−) in the Lijiang River. This finding indicates that the weathering of carbonate rock is probably affected by nitrogen nitrification processes in karst catchment. |
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| score |
7.4009466 |