A novel pollution risk assessment model for the cropland applications of animal manure

Xiaomei Zhan, Bing Deng and Jianghui Wen ()
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Xiaomei Zhan: Wuhan University of Technology
Bing Deng: Wuhan Academy of Agricultural Sciences
Jianghui Wen: Wuhan University of Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 1, No 32, 799-821

Abstract: Abstract Livestock and poultry manure is usually recycled to the nearby cropland as it is rich in elements required for crop growth. It is necessary to measure the pollution risk caused by recycled manure. In this study, a risk assessment model based 2-tuple linguistic is constructed to evaluate the pollution risk. Firstly, based on pollution source factors and migration factors, the index system is established, which includes nominal indexes and quantitative indexes. The 2-tuple linguistic method converts two attribute indexes into one form. Meanwhile, the firework algorithm is adopted to make the weights of indicators objective. Then, livestock and poultry farms in Xinzhou District, Wuhan City, Hubei Province, are taken as the empirical objects to get the spatial distribution of farms’ risk. Through the index ablation experiment and sensitivity analysis, it is found that the soil resistance factor, manure removal method and the river channel distance are the main influencing indexes. Targeted improvement of these three influencing indicators can reduce the pollution risk by manure.

Keywords: Secondary pollution; Cropland applications of animal manure; Risk assessment; 2-tuple linguistic; Fireworks algorithm (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-022-02733-5

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