scholarly journals Farmers’ Willingness as Well as Its Compensation Strategy to Prevent and Control Agricultural Non-Point Source Pollution in Water Source Areas-Based on a Comparative Analysis of Pesticide and Fertilizer Inputs

2020 ◽  
Vol 15 (8) ◽  
pp. 1303-1311
Author(s):  
Jie Lin ◽  
Jianlin Pan
Keyword(s):  
Point Source ◽  
Influencing Factors ◽  
Water Source ◽  
Related Factor ◽  
Point Source Pollution ◽  
Output Fluctuations ◽  
Pesticide Reduction ◽  
Great Output ◽  
And Control ◽  
Non Point Source Pollution

This paper took the voluntary pesticide and fertilizer reduction ratios of the farmers as the substitute variables for farmers' willingness to prevent and control the agricultural non-point source pollution. Then, the paper adopted an improved double-bounded dichotomous choice (DBDC) to obtain farmers’ voluntary pesticide and fertilizer reduction ratios and the corresponding compensation attitudes of the farmers. The research found that, in contrast to fertilizers, pesticides are a stronger output-related factor for farmers, and any reduction in pesticides would cause great output fluctuations. After the influencing factors of the farmers’ compensation attitude towards pesticide and fertilizer reduction were subject to ordinal regression analysis, the main influencing factors of farmers’ compensation attitude towards fertilizer and pesticide reduction were obtained respectively, which had further proved that for farmers, compared with pesticides, the risk of fertilizer reduction is lower, and their attitudes are quite different, but as long as the compensation is sufficient, they are willing to take more stringent measures.

Countermeasures of Non-Point Source Pollution Prevention and Control in Wohushan Waterhead Area

2013 ◽  
Vol 864-867 ◽  
pp. 1466-1469
Author(s):  
Li Hua Mao ◽  
Xue Mei Han
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Prevention And Control ◽  
Pollution Prevention ◽  
Water Source ◽  
Drinking Water Source ◽  
Point Source Pollution ◽  
Pollution Prevention And Control ◽  
And Control ◽  
Non Point Source Pollution

Wohushan reservoir is an important drinking water source for south urban area of Jinan, however, the water quality of Wohushan reservoir is not safe, and agricultural non-point source pollution is the main reason that caused the water quality deteriorate. This paper analysed the sources of non-point source pollution through datum of population and agriculture production and other economic and social activities in Wohushan reservoir area. The water quality effect of domestic sewage, house refuse, live stock dung, and unreasonable use of fertilizer and pesticide were discussed as emphasis. Further more, the factors of the non-point source pollution were summarized according to policy, statute, economic, technology etc. At last, countermeasures of non-point source pollution prevention and control were proposed based on the source and pathway control of contaminates including perfect law system, strengthen policy guidance, increase funding, use fertilizer and pesticide reasonably, popularize biotechnology and methane tank, carry out efficient eco-agriculture construction, etc.

scholarly journals The Influence of Different Forest Characteristics on Non-point Source Pollution: A Case Study at Chaohu Basin, China

2020 ◽  
Vol 17 (5) ◽  
pp. 1790
Author(s):  
Hao Cheng ◽  
Chen Lin ◽  
Liangjie Wang ◽  
Junfeng Xiong ◽  
Lingyun Peng ◽  
...  
Keyword(s):  
Point Source ◽  
Prevention And Control ◽  
Pollution Prevention ◽  
Forest Land ◽  
Point Source Pollution ◽  
Nps Pollution ◽  
Forest Coverage ◽  
Pollution Prevention And Control ◽  
And Control ◽  
Non Point Source Pollution

Forestland is a key land use/land cover (LULC) type that affects nonpoint source (NPS) pollution, and has great impacts on the spatiotemporal features of watershed NPS pollution. In this study, the forestland characteristics of the Chaohu Basin, China, were quantitatively represented using forestland types (FLTs), watershed forest coverage (WFC) and forest distance from the river (DFR). To clarify the impact of forests on NPS pollution, the relationship between forestland characteristics and watershed nutrient outputs (TN and TP) was explored on a monthly scale using SWAT (Soil and Water Assessment Tool) and the period simulation was 2008–2016. The results showed that: (1) the TN and TP showed similar output characteristics and the rainy season was the peak period of nitrogen and phosphorus output. (2) Among the forestland characteristics of forestland types, watershed forest coverage and forest distance from the river, watershed forest coverage and forest distance from the river had greater effects than forestland types on the control of watershed nutrient outputs (TN and TP). (3) In different forestland types, the watershed nutrient outputs intensity remained at the lowest level when the FLTs was mixed forest, with a TN output of 1244.73kg/km2 and TP output of 341.39 kg/km2. (4) The watershed nutrient outputs and watershed forest coverage were negatively correlated, with the highest watershed forest coverage (over 75%) reducing the TN outputs by 56.69% and the TP outputs by 53.46% compared to the lowest watershed forest coverage (below 25%), it showed that in areas with high forest land coverage, the non-point source pollution load in the watershed is smaller than in other areas. (5) forest distance from the river had an uncertain effect on the TN and TP output of the basin, the forestland itself is a source of pollution, but it also has the function of intercepting pollution movement; the forest distance from the river in the range of 500–1000 m had the lowest NPS pollution. Considering the different forest characteristics and topographical factors, an optimal allocation mode of differentiated forest land was proposed, these suggestions will provide a scheme for surface source pollution prevention and control in the basin. This research gap is the basis of real forestland optimization. We may optimize the forestland layout for NPS pollution prevention and control by clarifying the internal mechanism.

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