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生态涵养型土地整治综合效益评价——以安徽省池州市贵池区项目为例 被引量:26

Evaluation of the comprehensive benefits of the ecological conservation land consolidation : An example of Guichi area project in Chizhou , Anhui Province
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摘要 针对当前土地整治效益评价指标体系存在区域局限性、部分不合理性以及生态效益不够突出等问题,在已有研究的基础上,采用专家打分法、层次分析法以及多级模糊综合评价法构建生态涵养型土地整治综合效益评价指标体系,开展生态涵养型土地整治综合效益评价。结果表明:实证项目生态效益为合格,社会效益和经济效益均为中等,综合效益为中等。尽管生态效益权重较大,但不能决定项目的综合效益评价结果,其原因是生态效益的权重没有超过经济效益和社会效益两者之和,因此,在土地整治项目效益评价中,不仅要以综合效益评价其效果,而且要充分考虑单项生态效益,才能有效保护和改善土地整治项目区的生态环境,才能体现生态涵养型的整治目的,为建设生态宜居型的美好乡村创造良好基础。 In views of the problems,which are land consolidation benefits regional limitations,some unreasonabilities and no-outstanding Eco-efficiency in the current evaluation index system,the ecological conservation land consolidation comprehensive benefits evaluation index system was constructed based on the existing research,expert scoring method,Analytic Hierarchy Process(AHP) and fuzzy comprehensive evaluation method,and the comprehensive benefits evaluation of ecological conservation land renovation was carried out as well as.The results showed that:ecological demonstration project is qualified,social benefit and economic benefit is moderate,and comprehensive benefit is for secondary.Although the ecological benefit of greater weight,it cannot affect the evaluation results of comprehensive benefits of the project.The reason is that both the economic benefit and social benefit is outweighing of ecological benefit.Therefore,in the benefit evaluation of land remediation project,not only the comprehensive benefit evaluation but also the individual ecological benefit should be considered to protect or improve the land consolidation project areas,to reflect the ecological conservation regulation objective,and to create a good foundation for better rural construction of ecological and livable.
出处 《中国农业大学学报》 CAS CSCD 北大核心 2013年第4期232-237,共6页 Journal of China Agricultural University
基金 国土资源部公益性行业科研项目(201111010-05) 安徽高校省级自然科学研究项目(KJ2012Z111)
关键词 土地 土地整治 生态涵养型 AHP 模糊评判法 land land consolidation ecological conservation type AHP fuzzy evaluation method
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