标题: Basin-Scale Pollution Loads Analyzed Based on Coupled Empirical Models and Numerical Models

作者: Zhang, M (Zhang, Man); Chen, XL (Chen, Xiaolong); Yang, SH (Yang, Shuihua); Song, Z (Song, Zhen); Wang, YG (Wang, Yonggui); Yu, Q (Yu, Qing)

来源出版物: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 卷: 18 期: 23 文献号: 12481 DOI: 10.3390/ijerph182312481 出版年: DEC 2021

摘要: Pollutant source apportionment is of great significance for water environmental protection. However, it is still challenging to accurately quantify pollutant loads at basin-scale. Refined analytical methods combined the pollution discharge coefficient method (PDCM), field observation, and numerical model (Soil & Water Assessment Tool, SWAT) to make quantitative source appointment in the Tuojiang River, a key tributary of the upper Yangtze River. The chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), and ammonia nitrogen (N-NH4(+)) were analyzed. Results showed that the urban sewage treatment plant point source has the largest contribution to COD, TN, and N-NH4(+), while TP is mostly from the agricultural sources throughout the year. The total inflowing loads of pollution sources are significantly affected by rainfall. The overall pollution characteristics showed that pollutant loads present in different seasons are as follows: wet season > normal season > dry season. The month with the highest levels of pollutants is July in the wet season. Among the nine cities, the city that contributes the most COD, TN and N-NH4(+), is Neijiang, accounting for about 25%, and the city that contributes the most TP is Deyang, accounting for 23%. Among the sub-basins, the Fuxi River subbasin and Qiuxihe River subbasin contribute the most pollutant loads. The technical framework adopted in this paper can be used to accurately identify the types, administrative regions and sub-basins of the main pollution sources in the watershed, which is conducive to management and governance of the environment.

作者关键词: basin-scale pollution loads; source apportionment; pollution source analysis framework; coupled models; SWAT model; Tuojiang River basin

KeyWords Plus: NONPOINT-SOURCE POLLUTION; WATER-QUALITY; SOURCE APPORTIONMENT; SPATIAL-ANALYSIS; RIVER-BASIN; SWAT MODEL; PHOSPHORUS; IMPACT; NITROGEN; CHINA

地址: [Zhang, Man] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Chen, Xiaolong] Beijing Tsinghua Holdings Human Settlements Envir, Beijing 100083, Peoples R China.

[Yang, Shuihua] Yanshan Expt High Sch, Yanshan 663100, Peoples R China.

[Yang, Shuihua; Song, Zhen; Wang, Yonggui; Yu, Qing] China Univ Geosci, Sch Geog & Informat Engn, Key Lab Reg Ecol & Environm Change, Wuhan 430074, Peoples R China.

通讯作者地址: Wang, YG (通讯作者)，China Univ Geosci, Sch Geog & Informat Engn, Key Lab Reg Ecol & Environm Change, Wuhan 430074, Peoples R China.

电子邮件地址: 2019202050070@whu.edu.cn; cxl@bjenv.com; yangshuihua@163.com; songzhen79@163.com; wangyg@cug.edu.cn; yuqing0334@163.com

影响因子：3.39