Water Science and Engineering 2017, 10(2) 134-142 DOI:   http://dx.doi.org/10.1016/j.wse.2017.05.001  ISSN: 1674-2370 CN: 32-1785/TV

Current Issue | Archive | Search                                                            [Print]   [Close]
Information and Service
This Article
Supporting info
PDF(4176KB)
Reference
Service and feedback
Email this article to a colleague
Add to Bookshelf
Add to Citation Manager
Cite This Article
Email Alert
Keywords
Danjiangkou Reservoir
Non-point source pollution
Base flow separation
Digital filtering method (DFM)
Flux method
Authors
Guang-hua LU
Jian-chao LIU
Li-sha SUN
Lu-jin YUAN
PubMed
Article by Guang-hua LU
Article by Jian-chao LIU
Article by Li-sha SUN
Article by Lu-jin YUAN

Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, China

Xiao-kang Xin a,b,*, Wei Yin b, Ke-feng Li a

a State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
b Changjiang Water Resources Protection Institute, Changjiang Water Resources Commission, Wuhan 430051, China

Abstract

The estimation of non-point source pollution loads into the Danjiangkou Reservoir is highly significant to environmental protection in the watershed. In order to overcome the drawbacks of traditional watershed numerical models, a base flow separation method was established coupled with a digital filtering method and a flux method. The digital filtering method has been used to separate the base flows of the Hanjiang, Tianhe, Duhe, Danjiang, Laoguan, and Qihe rivers. Based on daily discharge, base flow, and pollutant concentration data, the flux method was used to calculate the point source pollution load and non-point source pollution load. The results show that: (1) In the year 2013, the total inflow of the six rivers mentioned above accounted for 95.9% of the total inflow to the Danjiangkou Reservoir. The total pollution loads of chemical oxygen demand (CODMn) and total phosphorous (TP) from the six rivers were 58.20 × 103 t and 1.863 × 103 t, respectively, and the non-point source pollution loads were 39.82 × 103 t and 1.544 × 103 t, respectively, indicating that the non-point source pollution is a major factor (with a contribution rate of 68.4% for CODMn and 82.9% for TP). (2) The Hanjiang River is the most significant contributor of pollution loads to the Danjiangkou Reservoir, and its CODMn and TP contribution rates reached 79.3% and 83.2%, respectively. The Duhe River took the second place. (3) Non-point source pollution mainly occurred in the wet season in 2013, accounting for 80.8% and 90.9% of the total pollution loads of CODMn and TP, respectively. It is concluded that the emphasis of pollution control should be placed on non-point source pollution.

Keywords Danjiangkou Reservoir   Non-point source pollution   Base flow separation   Digital filtering method (DFM)   Flux method  
Received 2016-06-01 Revised 2016-10-18 Online: 2017-04-30 
DOI: http://dx.doi.org/10.1016/j.wse.2017.05.001
Fund:

This work was supported by the National Key Research and Development Program of China (Grants No. 2016YFC0402204 and 2016YFC0402207).

Corresponding Authors: Xiao-kang Xin
Email: xin.xiaokang@163.com
About author:

References:

This work was supported by the National Key Research and Development Program of China (Grants No. 2016YFC0402204 and 2016YFC0402207).

Similar articles
1.Long-xi HAN, Fei HUO, Juan SUN.Method for calculating non-point source pollution distribution in plain rivers[J]. Water Science and Engineering, 2011,4(1): 83-91
2. Yun WANG, Sheng-lian GUO, Guang YANG, Xing-jun HONG, Ting HU.Optimal early refill rules for Danjiangkou Reservoir[J]. Water Science and Engineering, 2014,7(4): 403-419
3. Shou-bing WANG, Xiao-xue MA, Zheng-qiu FAN, Wei-qian ZHANG, Xiao-yong QIAN.Impact of nutrient losses from agricultural lands on lake nutrient stocks in an agricultural lake system in Shanghai, China[J]. Water Science and Engineering, 2014,7(4): 373-383

Copyright by Water Science and Engineering