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Application of multi-objective optimization model on prime farmland preservation planning — A case study on Jiangsu province in China

机译:多目标优化模型对江苏省江苏省案例研究的应用 - 以中国江苏省为例

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摘要

As a developing country, China is experiencing rapid industrialization and urbanization, and facing the problems such as land pollution and decrease of farmland which influence food safety and food security. Protecting farmland is an indisputable and urgent task to China government. This paper constructs a two level multi-objective model for decision-making of the quantity of prime farmland preservation. The first objective is to maximize the comprehensive quality of farmland in the province level, based on an farmland quality assessment system which not only considers counties' economic development and chemical elements such as OM, N, P, and K in top-soil, but also takes heavy metals such as As, Cd, Hg, Pb, Cu, Cr, Ni, and Zn into account to guarantee food safety. The second objective is to maximize the total grain production in the province level. Finally, a linear goal programming is used to solve the multi objective model by the software MATLAB7.0. The case study of Jiangsu province showed the feasibility of the linear goal programming. These results could provide scientific instruction for prime farmland protection planning in Jiangsu province.
机译:作为一个发展中国家,中国正在经历快速的工业化和城市化,并面临土地污染和农田减少的问题,影响食品安全和粮食安全。保护农田是中国政府一项无可争议的,紧急的任务。本文构建了两级多目标模型,用于决策原农田保存量。第一个目标是基于农田质量评估系统,最大化省级耕地质量,这不仅考虑了县的经济发展和化学元素,如OM,N,P和K在顶部土壤中,但还考虑到诸如As,Cd,Hg,Pb,Cu,Cr,Ni和Zn等重金属以保证食品安全。第二个目标是最大限度地提高省级的总粮食产量。最后,使用线性目标编程用于通过MATLAB7.0软件解决多目标模型。江苏省案例研究表明线性目标规划的可行性。这些结果可以为江苏省耕地的粉末保护规划提供科学教学。

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