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南淝河水-沉积物中重金属的分布规律、环境评价与溯源研究
引用本文:张珊珊,陈继军,周忠发,孙小涛,陈全.南淝河水-沉积物中重金属的分布规律、环境评价与溯源研究[J].环境工程,2017,35(4):139-143.
作者姓名:张珊珊  陈继军  周忠发  孙小涛  陈全
作者单位:1. 贵州师范大学 喀斯特研究院,贵阳 550001;贵州省喀斯特山地生态环境国家重点实验室培育基地,贵阳 550001;2. 贵州省雷公山国家级自然保护区管理局,贵州 雷山,557100;3. 贵州师范大学 喀斯特研究院,贵阳 550001;国家喀斯特石漠化防治工程技术研究中心,贵阳 550001
基金项目:国家自然科学基金地区项目“喀斯特石漠化地区生态资产与区域贫困耦合机制研究”,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”,贵州省软科学研究项目“国家重点生态功能区生态文明建设与科技支撑研究-以贵州为例”
摘    要:系统分析了南淝河丰水期和枯水期表层水及沉积物中As、Cd、Cr、Cu和Pb的含量,结果表明:Cd污染最为严重,表层水中Cd含量属于劣Ⅴ类地表水标准,沉积物中Cd含量超过合肥市土壤背景值,最高值达到背景值的7.5倍;单因子水质指数法评价结果显示Cd未达到水体功能区目标,其余元素基本达到了水体功能区目标,地累积指数评价结果表明各采样点污染程度在无污染到轻度污染之间,潜在生态风险指数评价结果显示各采样点均属于中度生态危害水平,3种评价结果均显示Cd是主要污染因子。主成分分析结果表明南淝河沉积物中不同时期重金属污染来源存在一定差异性和多样性。

关 键 词:重点生态功能区  生态系统敏感性  层次分析法  格网GIS  雷山县

STUDY ON THE ECOLOGICAL SYSTEM OF KEY ECOLOGICAL FUNCTION ZONES SENSITIVITY BASED ON GRID GIS: A CASE IN LEISHAN COUNTY OF GUIZHOU PROVINCE
ZHANG Shan-shan,CHEN Ji-Jun,ZHOU Zhong-fa,SUN Xiao-tao,CHEN Quan.STUDY ON THE ECOLOGICAL SYSTEM OF KEY ECOLOGICAL FUNCTION ZONES SENSITIVITY BASED ON GRID GIS: A CASE IN LEISHAN COUNTY OF GUIZHOU PROVINCE[J].Environmental Engineering,2017,35(4):139-143.
Authors:ZHANG Shan-shan  CHEN Ji-Jun  ZHOU Zhong-fa  SUN Xiao-tao  CHEN Quan
Abstract:In order to diagnose the environmental problems,and realize the importance of protection ecological condition,taking the key ecological function area-Leishan County as example,the paper constructed index system of ecosystem sensitivity evaluation in support of the gridding GIS technology and combined with the terrain,landforms and climate data.Using the analytic hierarchy process,the regional comprehensive method and the gridding GIS technology,this paper gave each index in the evaluation system by the spatial expression of 10 m × 10 m grid scale.The spatial pattern of ecological sensitive for study area was got by applying the spatial overlaying technology based on grid data and ecosystem sensitivity evaluation model.The results showed:Non-sensitive area and slight-sensitive area were smaller,accounted for only 5% and 13.4%;middle sensitive area and extremely sensitive accounted for 26.3% and 17%;the area of highly sensitive area was the largest,accounted for 38.3%.
Keywords:key ecological function area  ecosystem sensitivity  analytic hierarchy process  grid GIS  Leishan County
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