摘要
优化的模糊综合评价模型,有助于查明生态茶叶园区表层土壤（0～20cm）重金属污染状况。以Hg、As、Cd、Pb、Cr、Cu为评判因子,运用最小相对信息熵原理,将污染物“超标倍数法”与“双权重超标赋权法”相结合,形成综合权重,对传统模糊综合评价模型进行了改进。接着对茶叶园区土壤重金属污染做了评判,并对比评判结果。结果表明,改进后的模糊综合评价模型,在计算评判因子权重时,综合土壤重金属浓度和毒理,评判结果更加合理;该茶叶园区土壤清洁率达38.81%、尚清洁率达61.19%,尚无土壤污染区。说明该茶叶园区土壤环境质量整体较好,满足无公害茶叶产地要求;对比评判结果,改进的模糊综合评价模型等级划分更加科学,评判结果客观。为优化岩溶山区茶叶区域布局提供参考。
An optimized fuzzy comprehensive evaluation model can facilitate to clarify the surface soil （0 --20 cm） heavy metal contamination of tea producing park areas. Using Hg--Cd--Pb--Cr--Cu as evaluation factors and the principle of minimum relative information entropy, this study employed the ＂pollutant excee- ding standard method＂ and ＂double weight method＂ to form a set of combined weight factors, which hence optimized the traditional fuzzy comprehensive evaluation model. Then we evaluated the soil heavy metal pol- lution in a tea producing park area and compared the evaluation results. We emphasize that the optimized e- valuation model that integrates the soil heavy metal concentration and toxicity is much more suitable in the calculation of weights of evaluation factors and subsequent assessment result. The result shows that in the tea park area the soil clean ratio is up to 38.81% and moderately clean ratio is 61.19%. These data suggests that the overall soil environmental quality of this tea park area is fairly good, which meets the requirements of pollution--free tea production. Comparing the evaluation results shows that the optimized model is more scientific in grade classification, which can make the assessment more objective, and provide a reference for optimizing the layouts of tea production in karst mountainous regions.
出处
《中国岩溶》
CAS
CSCD
北大核心
2016年第3期282-290,共9页
Carsologica Sinica
基金
国家重点基础研究发展计划(973计划)课题"人为干预下喀斯特山地石漠化的演变机制与调控"(2012CB723202)
贵州省重大科技专项计划"贵州省茶叶
蔬菜质量安全评价
检测和可追溯关键技术研究与应用"(黔科合重大专项字[2013]6024号)
贵州省重大应用基础研究项目"喀斯特石漠化生态修复及生态经济系统优化调控研究-岩土类型格局"(黔科合JZ字[2014]200201)
贵州省科技计划"基于北斗卫星的山地高效农业产业园区智能管理系统开发与应用"(黔科合GY字〔2015〕3001)
关键词
土壤重金属
模糊综合评价
信息熵
综合权重
茶叶
soil heavy metals, fuzzy comprehensive evaluation, information entropy, comprehensive weight, tea
