Agricultural Nonpoint Source Pollution Model Analysis and Application

2012 ◽  
Vol 178-181 ◽  
pp. 926-929
Author(s):  
Qing Yang ◽  
Sheng Nan Sun ◽  
Zheng Hai Jiang ◽  
Li Xian Ying ◽  
Zhe Jun Liu
Keyword(s):  
Point Source ◽  
Best Management Practices ◽  
Management Practices ◽  
Swat Model ◽  
Model Analysis ◽  
Point Source Pollution ◽  
Mechanism Model ◽  
3S Technology ◽  
Improved Model ◽  
Non Point Source Pollution

With the point source pollution was effectively treated, non-point source pollution, especially the agricultural non-point source pollution (ANPSP), is becoming the main problem in environment. The research is focused on the model analysis and application, which could be scientifically distinguish and effectually control ANPSP. Four kinds of models were introduced here with the development of non-point source pollution, as experience statistical model, mechanism model, function model, improved model by 3S technology and the uncertain analyze. Among these models, HSPF and SWAT model were successfully applied in best management practices (BMP) for ANPSP control. In the future, our country should base on the introduction of the foreign mature techniques, which combine the 3S technology and the uncertain improved model, then enhance the autonomous model research and build the basic database.

scholarly journals Framework to prioritize watersheds for diffuse pollution management in the Republic of Korea: application of multi-criteria analysis using the Delphi method

2019 ◽  
Vol 19 (12) ◽  
pp. 2767-2779 ◽  
Author(s):  
Gyumin Lee ◽  
Kyung Soo Jun ◽  
Minji Kang
Keyword(s):  
Decision Making ◽  
Point Source ◽  
Best Management Practices ◽  
Delphi Technique ◽  
Management Practices ◽  
Point Sources ◽  
Republic Of Korea ◽  
Point Source Pollution ◽  
Best Management ◽  
Non Point Source Pollution

Abstract. This study aimed to develop a risk-based approach for determining control areas to manage non-point source pollution, developing a framework to prioritize catchments by considering the characteristics of polluted runoff from non-point sources. The best management, decision-making, and scientific approaches, such as the technique for order of preference by similarity to ideal solution (TOPSIS) and the Delphi technique, are required for the designation of control areas and the application of the best management practices to the control areas. Multi-criteria decision-making (MCDM) methods can handle the diversity and complexity of non-point source pollution. The Delphi technique was employed for selecting the assessment criteria/sub-criteria and determining their weights. Sub-criteria for each catchment unit were scored with either a quantitative or qualitative scale. All non-point pollution sources in mainland Republic of Korea were included, with the exception of a few islands, with catchment prioritization and pollution vulnerability evaluations shown as thematic maps. This study contributes to the field by developing a new risk-based approach for ranking and prioritizing catchments; this provides valuable information for the Ministry of Environment to use to identify control areas and manage non-point source pollution.

scholarly journals The Adoption of Best-Management Practices by Louisiana Dairy Producers

2004 ◽  
Vol 36 (1) ◽  
pp. 229-240 ◽  
Author(s):  
Noro C. Rahelizatovo ◽  
Jeffrey M. Gillespie
Keyword(s):  
Data Analysis ◽  
Point Source ◽  
Best Management Practices ◽  
Count Data ◽  
Management Practices ◽  
Negative Binomial ◽  
Farm Size ◽  
Point Source Pollution ◽  
Best Management ◽  
Non Point Source Pollution

This study examines the adoption of best-management practices (BMPs) in terms of the total number of practices implemented up to a certain period, using count data analysis. Poisson and negative binomial regressions were used to examine the likely determinants of producers' decisions to adopt greater numbers of technologies, and the specific case of dairy producers' adoption of BMPs was explored. Our results emphasize the significant effect of producers' awareness of the efforts to control non-point source pollution, information about BMPs, farm size, producer's educational attainment, and risk aversion on the number of BMPs adopted.

A multiobjective model for non-point source pollution control for an off-stream reservoir catchment

2003 ◽  
Vol 48 (10) ◽  
pp. 177-183 ◽  
Author(s):  
J.-J. Kao ◽  
W.J. Chen
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Best Management Practices ◽  
Management Practices ◽  
Programming Model ◽  
Current Model ◽  
Mixed Integer ◽  
Point Source Pollution ◽  
Reservoir Water ◽  
Non Point Source Pollution

Phosphorus loads from agricultural non-point source pollution (NPSP) significantly degrade reservoir water quality, making adequate control of agricultural NPSP necessary for improving the water quality. Controlling NPSP is generally accomplished using various Best Management Practices (BMPs). The present study applies the Agricultural Non-Point Source Pollution (AGNPS) model to simulate NPSP loading and BMP efficiencies and establishes an enhanced multiobjective mixed-integer programming model for NPSP control strategy analyses based on these results. Cost, phosphorus load, sediment load and equity are the four major objectives considered. A case study for the Posan reservoir is presented. Four commonly proposed and applicable BMPs are chosen. Non-inferior solutions obtained using the constraint method and trade-off relationships among different control objectives are described and discussed. Compared with a previously proposed fertilizer control model, results show that the model established herein is more cost-effective and achieves better phosphorus and sediment loading reduction and equity goals. Furthermore, the current model is expected to facilitate decision-making analysis for development of an appropriate cost-sharing program to encourage adoption of appropriate BMPs by farmers.

Integrated watershed approach in controlling point and non-point source pollution within Zelivka drinking water reservoir

2002 ◽  
Vol 45 (9) ◽  
pp. 293-300 ◽  
Author(s):  
J. Holas ◽  
M. Hrncir
Keyword(s):  
Drinking Water ◽  
Point Source ◽  
Best Management Practices ◽  
Management Practices ◽  
Water Reservoir ◽  
Agricultural Watershed ◽  
Mitigation Measures ◽  
Point Source Pollution ◽  
Drinking Water Reservoir ◽  
Non Point Source Pollution

An agricultural watershed involves manipulation of soil, water and other natural resources and it has profound impacts on ecosystems. To manage these complex issues, we must understand causes and consequences and interactions-related transport of pollutants, quality of the environment, mitigation measures and policy measures. A ten year period of economic changes has been analysed with respect to sustainable development concerning Zelivka drinking water reservoir and its watershed, where agriculture and forestry are the main human activities. It is recommended that all land users within a catchment area should receive payments for their contribution to water cycle management. Setting up the prevention principles and best management practices financially subsidized by a local water company has been found very effective in both point and non-point source pollution abatement, and the newly prepared Clean Water Programme actively involves local municipal authorities as well. The first step based on systems analysis was to propose effective strategies and select alternative measures and ways for their financing. Long term monitoring of nutrient loads entering the reservoir and hazardous events statistics resulted in maps characterising the territory including vulnerable zones and risk factors. Financing involves providing annual payments to farmers, who undertake to manage specified areas of their land in a particular way and one-off payments to realise proposed issues ensuring soil conservation and watershed ecosystem benefits.

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