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博士生石荧原的论文在AGRICULTURAL WATER MANAGEMENT刊出
发布时间:2017-03-16 15:01:54     发布者:yz     浏览次数:

标题:Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool作者:Shi, Yingyuan; Xu, Gaohong; Wang, Yonggui; Engel, Bernard A.; Peng Hong; Zhang, Wanshun; Cheng, Meiling; Dai, Minglong

来源出版物:AGRICULTURAL WATER MANAGEMENT卷:182 页码:24-38 DOI:10.1016/j.agwat.2016.12.007 出版年:MAR 1 2017

摘要:The Pengxi River is one of the main tributaries on the north shore of the Three Gorges Reservoir (TGR) and currently faces water quality deterioration and algal bloom problems. The Soil and Water Assessment Tool (SWAT) with a TGR specific database was utilized to evaluate the hydrology and water quality processes of the Pengxi River Basin. The flow and its nutrient content were assessed by the model, and the largest pollutant load generation areas of this basin were identified. The Generalized Likelihood Uncertainty Estimation (GLUE) method was used to conduct sensitivity analysis, model calibration and validation. Results of sensitivity analysis showed that CN2 (initial SCS runoff curve number for moisture condition II) was most sensitive for runoff, while RCN (concentration of nitrogen in rainfall) and FILTERW (width of edge of field filter strip) were most sensitive for nitrogen and phosphorus loadings respectively. Determination of the most sensitive parameters on the rate of change of SWAT outputs was identified. The coefficient of determination (R-2) in the validation ranged from 0.66-0.85 for daily stream flow and 0.70-0.86 for nutrient yield. Average annual water yield for the entire basin was found to be 3.93 billion m(3) from 2010 to 2013, while average annual total nitrogen yield was 9406 t, and average annual total phosphorus yield was 984t. The simulation results indicate that runoff appeared to vary significantly throughout the year and from year to year, and was correlated with precipitation. Higher pollutant load generation areas were mainly concentrated in the central and southern part of the Pengxi River basin. This study is expected to have major implications for identifying non-point source (NPS) and water quality management policies and approaches.

入藏号:WOS:000393248200003

文献类型:Article

语种:English

作者关键词:SWAT, Hydrology and water quality processes, Non-point source pollutants, Sensitivity analysis, GLUE

扩展关键词:NONPOINT-SOURCE POLLUTION; LAND-USE CHANGES; PARAMETER UNCERTAINTY ANALYSIS; SWAT MODEL; SENSITIVITY-ANALYSIS; NITROGEN DEPOSITION; CHINA; CALIBRATION; VALIDATION; SIMULATION

通讯作者地址:Zhang, WS (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址:wszhang@whu.edu.cn

地址:

[Shi, Yingyuan; Wang, Yonggui; Zhang, Wanshun; Cheng, Meiling] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Xu, Gaohong; Dai, Minglong] Bur Hydrol, Wuhan 430010, Peoples R China.

[Engel, Bernard A.] Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47907 USA.

[Peng, Hong] Wuhan Univ, Sch Water Resources & Hydropower, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China.

研究方向:Agriculture; Water Resources

ISSN:0378-3774

eISSN: 1873-2283

影响因子:2.603

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