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

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 fil...

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Main Authors: Xiao-kang Xin, Wei Yin, Ke-feng Li
Format: Article
Language:English
Published: Elsevier 2017-04-01
Series:Water Science and Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1674237017300522
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author Xiao-kang Xin
Wei Yin
Ke-feng Li
author_facet Xiao-kang Xin
Wei Yin
Ke-feng Li
author_sort Xiao-kang Xin
collection DOAJ
description 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 phosphorus (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.
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spelling doaj.art-9a53990c53df4cb4b7e8aafe2324c6082022-12-21T18:12:22ZengElsevierWater Science and Engineering1674-23702017-04-0110213414210.1016/j.wse.2017.05.001Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, ChinaXiao-kang Xin0Wei Yin1Ke-feng Li2State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaChangjiang Water Resources Protection Institute, Changjiang Water Resources Commission, Wuhan 430051, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaThe 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 phosphorus (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.http://www.sciencedirect.com/science/article/pii/S1674237017300522Danjiangkou ReservoirNon-point source pollutionBase flow separationDigital filtering method (DFM)Flux method
spellingShingle Xiao-kang Xin
Wei Yin
Ke-feng Li
Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, China
Water Science and Engineering
Danjiangkou Reservoir
Non-point source pollution
Base flow separation
Digital filtering method (DFM)
Flux method
title Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, China
title_full Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, China
title_fullStr Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, China
title_full_unstemmed Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, China
title_short Estimation of non-point source pollution loads with flux method in Danjiangkou Reservoir area, China
title_sort estimation of non point source pollution loads with flux method in danjiangkou reservoir area china
topic Danjiangkou Reservoir
Non-point source pollution
Base flow separation
Digital filtering method (DFM)
Flux method
url http://www.sciencedirect.com/science/article/pii/S1674237017300522
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AT kefengli estimationofnonpointsourcepollutionloadswithfluxmethodindanjiangkoureservoirareachina