Modeling the effects of point and non-point source pollution on a diversion channel from Yellow River to an artificial lake in China

2015 ◽  
Vol 71 (12) ◽  
pp. 1806-1814 ◽  
Author(s):  
X. P. Gao ◽  
G. N. Li ◽  
G. R. Li ◽  
C. Zhang
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Yellow River ◽  
Point Sources ◽  
Pollution Sources ◽  
Main Stream ◽  
Artificial Lake ◽  
Diversion Channel ◽  
Wei River

The Dragon lake diversion channel (DLDC) is the only river that recharges Dragon Lake, an artificial lake in China. This paper examines the main factors influencing water quality by investigating point source and non-point source pollutants along the main route. Based on the complicated system of rivers and desilting basins, a three-dimensional water quality model using environmental fluid dynamics code (EFDC) was developed. The model of DLDC was calibrated and verified using observed data. The error ranges of river water level, total phosphorus, total nitrogen and chemical oxygen demand were within 5%, 10%, 16% and 20%, respectively, all of which meet the precision requirement. The model was employed to predict the concentrations of pollutants in the main stream under current pollution loads within a year and a flood lasting for 24 hours. The results revealed that the main pollution sources that influence the water quality of waterways were the point sources followed by the non-point pollution sources. Water quality improved when large water quantities were delivered and this trend can be described as dilution. The water quality of the Dongfeng main channel meets the requirement; however, the water quality of the Dongfeng River is somewhat poor, and the water quality of the Wei River is seriously contaminated. To address these problems, we suggest that the Dongfeng River and Wei River adopt a culvert under its riverbeds.

scholarly journals Impacts of drought on the quality of surface water of the basin

2013 ◽  
Vol 10 (11) ◽  
pp. 14463-14493
Author(s):  
B. B. Huang ◽  
D. H. Yan ◽  
H. Wang ◽  
B. F. Cheng ◽  
X. H. Cui
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Point Source ◽  
Surface Water Quality ◽  
Point Sources ◽  
Point Source Pollution ◽  
Drought And Flood ◽  
The Impact ◽  
Non Point Source Pollution

Abstract. Under the background of climate change and human's activities, there has been presenting an increase both in the frequency of droughts and the range of their impacts. Droughts may give rise to a series of resources, environmental and ecological effects, i.e. water shortage, water quality deterioration as well as the decrease in the diversity of aquatic organisms. This paper, above all, identifies the impact mechanism of drought on the surface water quality of the basin, and then systematically studies the laws of generation, transfer, transformation and degradation of pollutants during the drought, finding out that the alternating droughts and floods stage is the critical period during which the surface water quality is affected. Secondly, through employing indoor orthogonality experiments, serving drought degree, rainfall intensity and rainfall duration as the main elements and designing various scenario models, the study inspects the effects of various factors on the nitrogen loss in soil as well as the loss of non-point sources pollution and the leaching rate of nitrogen under the different alternating scenarios of drought and flood. It comes to the conclusion that the various factors and the loss of non-point source pollution are positively correlated, and under the alternating scenarios of drought and flood, there is an exacerbation in the loss of ammonium nitrogen and nitrate nitrogen in soil, which generates the transfer and transformation mechanisms of non-point source pollution from a micro level. Finally, by employing the data of Nenjiang river basin, the paper assesses the impacts of drought on the surface water quality from a macro level.

Water quality modeling in the watershed-based approach for waste load allocations

1998 ◽  
Vol 38 (10) ◽  
pp. 165-172 ◽  
Author(s):  
Ruochuan Gu ◽  
Mei Dong
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Water Quality Modeling ◽  
Point Sources ◽  
Low Flow ◽  
Quality Analysis ◽  
Management Approach ◽  
Water Quality Control ◽  
Quality Modeling ◽  
Waste Load

The conventional method for waste load allocations (WLA) employs spatial-differentiation, considering individual point sources, and temporal-integration, using a constant flow, typically 7Q10 low flow. This paper presents a watershed-based seasonal management approach, in which non-point source as well as point sources are incorporated, seasonal design flows are used for water quality analysis, and WLA are performend in a watershed scale. The strategy for surface water quality modeling in the watershed-based approach is described. The concept of seasonal discharge management is discussed and suggested for the watershed-based approach. A case study using the method for the Des Moines River, Iowa, USA is conducted. Modeling considerations and procedure are presented. The significance of non-point source pollutant load and its impact on water quality of the river is evaluated by analyzing field data. A water quality model is selected and validated against field measurements. The model is applied to projections of future water quality situations under different watershed management and water quality control scenarios with respect to river flow and pollutant loading rate.

scholarly journals Study on the Causes of Water Environmental Pollution of Important Rivers in Haihe River Basin and Countermeasures

2021 ◽  
Vol 261 ◽  
pp. 04023
Author(s):  
Xu He ◽  
Hou Siyan
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Environmental Pollution ◽  
River Basin ◽  
River Regulation ◽  
Haihe River Basin ◽  
Point Source Pollution ◽  
Haihe River ◽  
The Impact

The water quality of six important rivers in Haihe River Basin, including Yongding River, Luanhe River, North Canal, Daqing River, South Canal and Chaobai River, was evaluated. The influence of point source and non-point source on water quality was analyzed. The causes of water environmental pollution in the major rivers were preliminarily revealed. The results show that the water quality of Chaobai River is good, and the impact of point source and non-point source discharge on the water body is small. Other rivers are affected by different degrees of point source and non-point source pollution. Based on the analysis results, the engineering measures and management countermeasures for river regulation are put forward.

Using Arc GIS to explore the impact of environmental and ecological factors on water body

2021 ◽  
Vol 7 (6) ◽  
pp. 6247-6261
Author(s):  
Xiaoqing Liu ◽  
Juanfen Wang
Keyword(s):  
Water Quality ◽  
Numerical Model ◽  
Point Source ◽  
River Water ◽  
Ecological Factors ◽  
River Water Quality ◽  
Pollution Sources ◽  
Point Source Pollution ◽  
The Impact ◽  
Non Point Source Pollution

As water pollution is more and more serious, ArcGIS is proposed to explore the impact of environmental and ecological factors on water. Taking the river water quality as the research object, this paper simulates and analyzes the endogenous and non-point source pollution and water quality through indoor physical model experiment, hydrological and water quality numerical model and water quality numerical model, and analyzes the impact of different environmental changes on river water quality and pollution sources from micro and macro perspectives. The main contents include: experimental study on the influence mechanism of overlying water velocity, disturbance and water temperature on sediment endogenous release, construction and simulation of watershed non-point source pollution model, construction and simulation of watershed river water quality model, as well as the impact of environmental change on river water quality and quantitative analysis of river pollution sources.

Three essays on phosphorus runoff and water quality

2019 ◽  
Author(s):  
◽  
Seungyub Lee
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Point Source ◽  
Point Sources ◽  
Point Source Pollution ◽  
University Of Missouri ◽  
P Fertilizer ◽  
Limiting Nutrient ◽  
Phosphorus Runoff ◽  
Non Point Source Pollution

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Water pollution caused by nutrients, and the resulting eutrophication, have increased over time. This water pollution is increasingly caused by non-point source pollution, both nutrients and erosion. Controlling non-point pollution is important for water quality. However, non-point source pollution is not easy to track and control. In this case, management efforts can be solutions for these environmental issues in both urban and agricultural areas. In this dissertation, I focus on phosphorous (P) fertilizer because P is the limiting nutrient in freshwater systems. If we can reduce P runoff from urban and agricultural non-point sources, water quality can be improved. ... By analyzing national water quality and political economy data and by investigating a national survey of soybean producers, this dissertation found implications to increase adoption of environmentally friendly policies and practices. Solving this problem will require efforts to limit both residential and agricultural nonpoint source pollution. The results could be helpful policy makers to target specific regions to initiate environmental policies and extension efforts for designing educational programs to increase adoption rate as well as environmental quality.

Bacterial Source Tracking of Nonpoint Source Pollution Using GIS and DNA Fingerprinting Technologies

2011 ◽  
pp. 208-223
Author(s):  
M. E. Folkoff ◽  
E. A. Venso ◽  
D. W. Harris ◽  
M. F. Frana ◽  
M. S. Scott
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Dna Fingerprinting ◽  
Physical Environment ◽  
Nonpoint Source ◽  
Point Sources ◽  
Source Tracking ◽  
Great Promise ◽  
Bacterial Source Tracking

This study is only the second to use DNA fingerprinting technology in Maryland to identify fecal coliform sources in order to guide the implementation of water pollution control practices in a watershed with bacterial impairment. By combining the use of digital air photos and GPS with GIS, fieldwork is planned and conducted more efficiently because sample sites can be selected that accurately represent the physical environment of the study area. We can also return to the field and find our sample sites or locate new ones, even in the remotest part of the study area. It is also possible to more accurately map the data directly in the context of its physical environment, greatly increasing the quality of analysis. The integration of DNA fingerprinting techniques with GIS shows great promise for extending our capabilities to identify the controls on water quality and point sources of waterborne health hazards.

Study on Control of Water Quality of Poyang Lake

2014 ◽  
Vol 522-524 ◽  
pp. 979-982
Author(s):  
Chuan Bao Wu ◽  
Xiang Hui Zeng
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Best Management Practices ◽  
Poyang Lake ◽  
Low Impact Development ◽  
Pollution Prevention ◽  
Jiangxi Province ◽  
Water Quality Control ◽  
Nps Pollution

Water quality of Poyang Lake is facing serious threats with the quick development of Jiangxi Province. Water quality control and pollution prevention of Poyang Lake have become important problems set before Jiangxi Province. To keep good water quality of Poyang Lake, a series of pollution-preventing strategies were studied. In order to prevent point source (PS) pollution, industrial types and layout, management measures and production technique should be improved. Strategies to prevent non-point source (NPS) pollution include four aspects. First is to transform part of NPS pollution to PS pollution by rationally laying out industry system. Second is to construct spatially harmonious and reasonable landscape pattern. Third is to reform conventional agricultural production by using advanced chemical and biological technologies. Fourth is to carry out Best Management Practices (BMPs) and Low-impact Development (LID) by learning and innovation.

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