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乌当区金华镇农用地土壤环境质量模糊综合评价
引用本文:舒英格,何腾兵,刘元生,罗海波,刘方. 乌当区金华镇农用地土壤环境质量模糊综合评价[J]. 贵州农业科学, 2007, 35(4): 52-55
作者姓名:舒英格  何腾兵  刘元生  罗海波  刘方
作者单位:贵州大学,资源与环境研究所,贵州,贵阳,550025;贵州大学,资源与环境研究所,贵州,贵阳,550025;贵州大学,资源与环境研究所,贵州,贵阳,550025;贵州大学,资源与环境研究所,贵州,贵阳,550025;贵州大学,资源与环境研究所,贵州,贵阳,550025
基金项目:贵州省自然科学基金项目[黔科合J字(2005)2079号],贵州省软科学基金[黔科合软字(2005)7005],贵阳市乌当区人民政府项目“乌当区农用土地资源与环境适宜性评价及农业经济发展战略规划”
摘    要:依据土壤环境质量各评价指标的渐变性和模糊性,采用模糊数学方法确定其隶属度函数并进行处理;选取5个土壤中最常见的有毒有害重金属污染因子镉、铅、铬、汞、砷为评价指标,应用模糊综合评判法对乌当区金华镇农用地78个样点的土壤进行环境质量评价。结果表明,金华镇农用地环境质量为一级和二级的土壤所占比例为41.02%和35.90%,三级的为23.08%。说明,金华镇农用地土壤环境质量较好,有76.92%的农用地土壤环境质量处于农业安全生产的二级质量标准内,可以直接发展农业生产;但位于三级质量标准的农用地则应采取相应的治理措施改善土壤环境质量,调整农业产业结构,避免污染元素进入食物链,保证农用地的可持续发展和人类的健康生存。

关 键 词:土壤环境质量  农用地  质量评价  模糊综合评价
文章编号:1001-3601(2007)04-0250-0052-04
修稿时间:2007-03-16

Fuzzy Comprehensive Evaluation on Soil Environment Quality of Agricultural Land in Jinhua Town, Wudang District, Guiyang
SHU Yingge,HE Tengbing,LIU Yuansheng,LUO Haibo,LIU Fang. Fuzzy Comprehensive Evaluation on Soil Environment Quality of Agricultural Land in Jinhua Town, Wudang District, Guiyang[J]. Guizhou Agricultural Sciences, 2007, 35(4): 52-55
Authors:SHU Yingge  HE Tengbing  LIU Yuansheng  LUO Haibo  LIU Fang
Affiliation:Institute of Resource and Environment, Guizhou University, Guiyang, Guizhou 550025, China
Abstract:Five heavy metals of Cd,Pb,Cr,Hg and As from 78 agricultural soil samples of Jinhua town,Wudang district were determined to evaluate its soil environment quality by the fuzzy comprehensive assessment method.The results showed that the first,second and third soil environment quality were 41.02%,35.90% and 23.08% in total agricultural land respectively.The land with first and second soil environment quality can be directly used for agricultural production and the land with third soil environment quality should be improved by using the relevant control management measures and adjusting the structure of agricultural industry,which ensures the sustainable development of agricultural land and human's health.
Keywords:soil environment quality  agricultural land  quality evaluation  fuzzy comprehensive assessment
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