Cooperative identification for critical periods and critical source areas of nonpoint source pollution in a typical watershed in China

被引:10
|
作者
Ruan, Shuhe [1 ,2 ]
Zhuang, Yanhua [1 ]
Hong, Song [2 ]
Zhang, Liang [1 ]
Wang, Zhen [3 ]
Tang, Xianqiang [4 ]
Wen, Weijia [1 ]
机构
[1] Chinese Acad Sci, Inst Geodesy & Geophys, Hubei Prov Engn Res Ctr Nonpoint Source Pollut Co, Wuhan 430077, Peoples R China
[2] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
[3] Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China
[4] Inst Changjiang Water Resources Commiss, Changjiang River Sci Res, Wuhan 430010, Peoples R China
关键词
Nonpoint source (NPS) pollution; Critical periods (CPs); Critical source areas (CSAs); Hydrological Simulation Program-Fortran (HSPF); Load-time curve; Load-area curve; PHOSPHORUS LOSS; NITROGEN; SWAT; STRATEGIES; IMPACTS; INDEXES; SURFACE; RUNOFF;
D O I
10.1007/s11356-020-07630-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Critical periods (CPs) and critical source areas (CSAs) refer to the high-risk periods and areas of nonpoint source (NPS) pollution in a watershed, respectively, and they play a significant role in NPS pollution control. The upstream Daning River Basin is a typical watershed in the Three Gorges Reservoir area. In this study, a Hydrological Simulation Program-Fortran (HSPF) model was used to simulate phosphorus loss in the upstream Daning River Basin. Co-analysis of critical periods and critical source areas (CACC) is a quantitative collaborative analysis method for the identification of CSAs in CPs, and it was used to classify the periods and areas of NPS pollution as CPs, sub-CPs, non-CPs, CSAs, and non-CSAs. The CPs occurred in months 5-7 and accounted for 53.7% of the total phosphorus (TP) loads, and the sub-CPs occurred in months 1, 3, 4, and 8 and accounted for 29.2% of the TP loads. In CSAs, 49.4% of the TP loads occurred in 26.8% of the basin. Furthermore, we proposed the following multilevel priority control measure for NPS pollution in the upstream Daning River Basin: CSAs in CPs (with load-area rate of 1.4), CSAs in sub-CPs (0.7), CSAs in non-CPs (0.4), non-CSAs in CPs (0.3), non-CSAs in sub-CPs (0.2), and non-CSAs in non-CPs (0.1). CSAs in CPs accounted for 25.8% of the TP loads from 19.0% of the areas in only 3 months while 49.4% of the TP loads from similar areas over an entire year. These findings indicated that the CSAs in CPs located in farmland along the Daning, Dongxi, and Houxi Rivers should be prioritized for pollution management measures.
引用
收藏
页码:10472 / 10483
页数:12
相关论文
共 50 条
  • [1] Cooperative identification for critical periods and critical source areas of nonpoint source pollution in a typical watershed in China
    Shuhe Ruan
    Yanhua Zhuang
    Song Hong
    Liang Zhang
    Zhen Wang
    Xianqiang Tang
    Weijia Wen
    [J]. Environmental Science and Pollution Research, 2020, 27 : 10472 - 10483
  • [2] Identification of critical source areas for nonpoint source pollution in the Danjiangkou Reservoir Basin, China
    Zhuang, Yanhua
    Zhang, Liang
    Du, Yun
    Yang, Wenjun
    Wang, Lihui
    Cai, Xiaobin
    [J]. LAKE AND RESERVOIR MANAGEMENT, 2016, 32 (04) : 341 - 352
  • [3] IDENTIFICATION AND SPATIAL DISTRIBUTION OF CRITICAL SOURCE AREAS FOR NONPOINT SOURCE POLLUTION ON ISLANDS
    Ma, Deming
    Peng, Wen
    Jin, Yongde
    [J]. FRESENIUS ENVIRONMENTAL BULLETIN, 2020, 29 (07): : 4861 - 4870
  • [4] Identifying critical source areas of nonpoint source pollution in a watershed with SWAT-ECM and AHP methods
    Wu, Qiang
    Yu, Hui
    [J]. HYDROLOGY RESEARCH, 2021, 52 (06): : 1184 - 1199
  • [5] An Integrated Approach to Identify Critical Source Areas of Agricultural Nonpoint-Source Pollution at the Watershed Scale
    Wang, Feier
    Sun, Zuolei
    Zheng, Siyuan
    Yu, Jie
    Liang, Xinqiang
    [J]. JOURNAL OF ENVIRONMENTAL QUALITY, 2018, 47 (04) : 922 - 929
  • [6] Identifying critical source areas of nonpoint source pollution with SWAT and GWLF
    Niraula, Rewati
    Kalin, Latif
    Srivastava, Puneet
    Anderson, Christopher J.
    [J]. ECOLOGICAL MODELLING, 2013, 268 : 123 - 133
  • [7] Present and potential future critical source areas of nonpoint source pollution: a case of the Nakdong River watershed, South Korea
    Mijin Seo
    Joonghyeok Heo
    Yongseok Kim
    [J]. Environmental Science and Pollution Research, 2021, 28 : 45676 - 45692
  • [8] Present and potential future critical source areas of nonpoint source pollution: a case of the Nakdong River watershed, South Korea
    Seo, Mijin
    Heo, Joonghyeok
    Kim, Yongseok
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (33) : 45676 - 45692
  • [9] Identification of critical source areas for non-point source pollution in Miyun reservoir watershed near Beijing, China
    Ou, Yang
    Wang, Xiaoyan
    [J]. WATER SCIENCE AND TECHNOLOGY, 2008, 58 (11) : 2235 - 2241
  • [10] An Integrated Approach for Targeting Critical Source Areas to Control Nonpoint Source Pollution in Watersheds
    Subhasis Giri
    Zeyuan Qiu
    Tony Prato
    Biliang Luo
    [J]. Water Resources Management, 2016, 30 : 5087 - 5100