Identification of multilevel priority management areas for diffuse pollutants based on streamflow continuity in a water-deficient watershed
Identification of multilevel priority management areas for diffuse pollutants based on streamflow continuity in a water-deficient watershed
复制标题
基于水流连续性的缺水流域扩散污染物多级优先管理区识别
DOI:
10.1016/j.jclepro.2022.131322
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发表时间:
2022-03
影响因子:
11.1
通讯作者:
Wei Li
中科院分区:
文献类型:
--
作者:
Shujiang Pang;Xiaosheng Wang;Charles.S. Melching;Haiying Guo;Wei Li
Agricultural diffuse pollution is, on the global scale, one of the most important causes of surface water quality deterioration and eutrophication. However, the identification of agricultural priority management areas (APMAs) for diffuse pollutants is still an ongoing challenge in water-deficient watersheds. To enhance the accuracy of identification of APMA, a modified framework for APMA identification is proposed by combining the streamflow continuity index constructed by Reliability-Resilience-Vulnerability (R-R-V) indices and the SWAT model in this paper. This novel framework was tested in Zhang River Watershed and the main results are as follows. First, the SWAT model is calibrated and validated with a good performance of the Nash-Sutcliffe efficiency (NSE) and coefficient of determination (R2)greater than 0.75 and 0.80 for both the calibration and validation periods, respectively. Second, the wet year is found to be the critical period for diffuse TN and TP output at an annual scale. Specifically, the critical loss period of TN is identified as from April to October on the monthly scale, especially in July and August. However, the critical period of TP loss is mainly concentrated in the range from July to September in Zhang River Watershed. Third, the reaches with a high streamflow continuity index(SCI) are primarily located in mid-downstream part of the watershed. The reaches are mostly characterized by relatively low SCI values due to the lack of streamflow volume in the upper reaches. Fourth, the APMAs for TN and TP for the watershed final outlet connected to the Yuecheng Reservoir are approximately distributed in two areas by considering the SCI estimation, namely the Qingzhang River sub-watershed and the mid-downstream part of the Zhuozhang River sub-watershed. Compared with the results obtained from the modified APMA framework, the main areas of TN and TP APMAs may be overestimated by 27.17 and 10.02 percentage points, respectively, using the original APMAs framework without the SCI evaluation. This revised APMA framework can be easily extended to other water-deficient watersheds for improving the efficacy of the identification and the control of agricultural diffuse pollution.
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影响因子:
4.6
作者:
Chen L;Wei G;Shen Z
通讯作者:
Shen Z
DOI:
10.1016/j.scitotenv.2016.11.158
发表时间:
2017-02
期刊:
The Science of the total environment
影响因子:
--
作者:
S. L. Martin;D. Hayes;A. Kendall;D. Hyndman
通讯作者:
S. L. Martin;D. Hayes;A. Kendall;D. Hyndman
影响因子:
12.8
作者:
Sun Cheng;Chen Lei;Zhu Hui;Xie Hui;Qi Shasha;Shen Zhenyao
通讯作者:
Shen Zhenyao
影响因子:
6.4
作者:
Wei Peng;Ouyang Wei;Gao Xiang;Hao Fanghua;Hao Zengchao;Liu Hongbin
通讯作者:
Liu Hongbin
DOI:
10.3390/ijerph17051577
发表时间:
2020-02
影响因子:
--
作者:
Huashan Xu;Yufen Ren;Hua Zheng;Z. Ouyang;B. Jiang
通讯作者:
Huashan Xu;Yufen Ren;Hua Zheng;Z. Ouyang;B. Jiang