Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model
文献类型：期刊论文
| 作者 | Zhang, Yan4; Shi, Peng1; Li, Fadong2,3; Wei, Anlei4; Song, Jinxi4; Ma, Junjie4 |
| 刊名 | CHEMOSPHERE
 |
| 出版日期 | 2018-10-01 |
| 卷号 | 208页码:493-501 |
| 关键词 | Nitrate pollution River Irrigation water Irrigated agricultural region |
| ISSN号 | 0045-6535 |
| DOI | 10.1016/j.chemosphere.2018.05.164 |
| 通讯作者 | Li, Fadong(lifadong@igsnrr.ac.cn) |
| 英文摘要 | Nitrate (NO3-) pollution in rivers caused by intensive human activities is becoming a serious problem in irrigated agricultural areas. To identify NO3- sources and reveal the impact of irrigation projects on NO3- pollution in rivers, the hydrochemistry and isotopes of irrigation water from the Yellow River (IW) and river water (RW), and potential source samples were analyzed. The mean NOT concentrations in the IW and RW were 24.4 mg/L and 49.9 mg/L, respectively. Approximately 45.2% of RW samples (n = 31) exceeded the Chinese drinking water standard for NO3- (45 mg/L). The delta N-15 and delta O-18 values, combined with the C1(-)/Na+, SO42-/Ca2+ ratio distributions, indicate that the NO(3)(-)in the RW mainly originated from chemical fertilizers, manure and sewage. A Bayesian model showed that manure and sewage contributed the most to the overall NO3- levels of the IW. In the RW, chemical fertilizers and IW contributed the most to the overall NO3- levels. The mean nitrate contribution to the RW from the combination of chemical fertilizers and IW is estimated to be 51.6%. Nitrogen from manure and sewage, soil N and precipitation also contributed. The NO3- pollution in rivers was largely influenced by the irrigation regime, with a large amount of nitrogen in chemical fertilizer lost because of low utilization efficiency and subsequent transfer, via irrigation runoff, into the rivers. This study suggests that with a detailed assessment of the sources and fate of NO3- , effective reduction strategies and better management practices can be implemented to control NO3- pollution in rivers. (C) 2018 Elsevier Ltd. All rights reserved. |
| WOS关键词 | NORTH CHINA PLAIN ; SOURCE APPORTIONMENT ; NITROGEN-FERTILIZER ; SHANDONG PROVINCE ; SURFACE-WATER ; YELLOW-RIVER ; DUAL-ISOTOPE ; MANAGEMENT ; POLLUTION ; IMPACTS |
| 资助项目 | National Natural Science Foundation of China[41601017] ; National Natural Science Foundation of China[41271047] ; National Natural Science Foundation of China[41601092] ; National Natural Science Foundation of China[51208424] ; Natural Science Foundation Research Project of Shaanxi Province[2017JQ4001] ; Program for Key Science and Technology Innovation Team in Shaanxi Province[2014KCT-27] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000441999400056 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation Research Project of Shaanxi Province ; Program for Key Science and Technology Innovation Team in Shaanxi Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54384]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Fadong |
| 作者单位 | 1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 4.Northwest Univ, Coll Urban & Environm Sci, Shaanxi Key Lab Earth Surface Syst & Environm Cap, Xian 710127, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yan,Shi, Peng,Li, Fadong,et al. Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model[J]. CHEMOSPHERE,2018,208:493-501. |
| APA | Zhang, Yan,Shi, Peng,Li, Fadong,Wei, Anlei,Song, Jinxi,&Ma, Junjie.(2018).Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model.CHEMOSPHERE,208,493-501. |
| MLA | Zhang, Yan,et al."Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model".CHEMOSPHERE 208(2018):493-501. |
入库方式： OAI收割
来源：地理科学与资源研究所
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