Characterizing pollutant loading from point sources to the Tongqi River of China based on water quality modeling

被引:5
作者
Yao, H. [1 ,2 ]
Ni, T. [3 ]
You, Z. [1 ]
机构
[1] Nantong Univ, Sch Geog, Nantong 226019, Peoples R China
[2] Univ Calif Irvine, Program Publ Hlth, Irvine, CA 92697 USA
[3] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Pollutant load; Point sources; Water quality modeling; China; RISK-ASSESSMENT; SURFACE; IDENTIFICATION; SEDIMENTS; RESERVOIR; SYSTEMS; REGION;
D O I
10.1007/s13762-018-02190-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
It is vital to elaborately understand the pollution sources in environmental management. Based on water quality modeling, one procedure was proposed to characterize the pollutant loading from point sources to environmental medium. It included four steps: (1) identifying the pollutants' discharging units (abbreviated as PDUs) according to the outlets distribution along the river; (2) based on the hydraulic characteristics of the river, dividing the river into several segments; (3) introducing the water quality model of the river with calibrated and verified modeling parameters; and (4) estimating and characterizing the pollutant load. The methodology was programmed and applied in characterizing the COD load from point sources to the Tongqi River of China. All point sources along the river were identified to be six PDUs. The temporal variation of the pollutant discharged from point sources could be described by the curves or functions in the procedure. COD load was at the peak of the curve from noon to dusk (about 10:30 a.m. to 8:30 p.m.), and from the midnight to the morning they were stable, at the bottom. This comprehensive understanding for pollution sources could be important in helping decision makers to schedule and control the pollutant load into the river.
引用
收藏
页码:6599 / 6608
页数:10
相关论文
共 28 条
[1]  
Administration S. E. P., 2002, MON AN METH WAT WAST
[2]  
Chen HJ, 2017, WATER RES, V121, P374, DOI [10.1016/j.watres.2017.0, 10.1016/j.watres.2017.05.032]
[3]   Identification of groundwater pollution sources based on a modified plume comparison method [J].
Gu, Wenlong ;
Lu, Wenxi ;
Zhao, Ying ;
OuYang, Qi ;
Xiao, Chuanning .
WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2017, 17 (01) :188-197
[4]   The sources of trace element pollution of dry depositions nearby a drinking water source [J].
Guo, Xinyue ;
Ji, Hongbing ;
Li, Cai ;
Gao, Yang ;
Ding, Huaijian ;
Tang, Lei ;
Feng, Jinguo .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2017, 24 (04) :3829-3842
[5]   Lead contamination in sediments in the past 20 years: A challenge for China [J].
Han, Lanfang ;
Gao, Bo ;
Hao, Hong ;
Zhou, Huaidong ;
Lu, Jin ;
Sun, Ke .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 640 :746-756
[6]   Design and assessment of stream-wetland systems for nutrient removal in an urban watershed of China [J].
Han, Li ;
Randhir, Timothy O. ;
Huang, Minsheng .
WATER AIR AND SOIL POLLUTION, 2017, 228 (04)
[7]  
Luo Gu-yuan, 2009, China Environmental Science, V29, P962
[8]   Using multivariate techniques to assess the effects of urbanization on surface water quality: a case study in the Liangjiang New Area, China [J].
Luo, Kun ;
Hu, Xuebin ;
He, Qiang ;
Wu, Zhengsong ;
Cheng, Hao ;
Hu, Zhenlong ;
Mazumder, Asit .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2017, 189 (04)
[9]  
MEP, 2007, ARR 1 CENS POLL SOUR
[10]   A pollution fate and transport model application in a semi-arid region: Is some number better than no number? [J].
Ozcan, Zeynep ;
Baskan, Oguz ;
Duzgun, H. Sebnem ;
Kentel, Elcin ;
Alp, Emre .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 595 :425-440