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基于格网GIS的流域水生态承载力评价研究——以高淳西部圩区为例

Evaluation of watershed water ecological carrying capacity based on grid GIS:taking the western polder area of Gaochun district as an example
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摘要 文章运用综合指标评价法,以南京高淳西部圩区为例,基于格网GIS为评价单元,从水生态敏感性、胁迫性两方面各选取了3个指标对高淳西部圩区进行水生态承载力现状评价,并用k-均值聚类分析进行分类。结果表明:区域水生态敏感性“高”“较高”“中等”“较低”和“低”5个等级分别占研究区总面积的7.47%,10.43%,34.05%,42.90%和4.85%,区域水生态压力“高”“较高”“中等”“较低”和“低”5个等级分别占研究区总面积的6.08%,2.81%,0.41%,69.44%和21.26%,并制定了差别化的空间管控措施。本研究主要贡献了一套易于在小尺度视角下对格网单元进行生态承载力现状分析的方法,同时为其他区域水生态承载力研究提供案例。 Using the comprehensive indicator evaluation method,taking the western polder area of Gaochun district in Nanjing as an example,based on grid GIS as an evaluation unit,this paper selects three indicators from both water ecological sensitivity and stress to evaluate the current situation of water ecological carrying capacity in the western polder area of Gaochun district,and uses k-means clustering analysis to classify it.The results showed that the five levels of regional water ecological sensitivity,namely,“high”,“higher”,“medium”,“lower”,and“low”,accounted for 7.47%,10.43%,34.05%,42.90%,and 4.85%of the total area of the study area,respectively.The five levels of regional water ecological pressure,namely,“high”,“higher”,“medium”,“lower”,and“low”,accounted for 6.08%,2.81%,0.41%,69.44%,and 21.26%of the total area of the study area,respectively,and differentiated spatial control measures were developed.This study mainly contributes to a set of methods that are easy to analyze the current ecological carrying capacity of grid units from a small-scale perspective,while providing cases for other regional water ecological carrying capacity studies.
作者 冷湘梓 蒋晓威 叶懿安 孙兆海 周璐瑶 Leng Xiangzi;Jiang Xiaowei;Ye Yian;Sun Zhaohai;Zhou Luyao(Jiangsu Province Environmental Engineering Technology Co.,Ltd.,Nanjing 210019,China)
出处 《江苏科技信息》 2023年第11期72-75,80,共5页 Jiangsu Science and Technology Information
基金 江苏省生态环境科研课题,项目名称:江苏省“新鱼米之乡”建设途径及指标体系研究,项目编号:2020016。
关键词 格网 GIS 水生态承载力 高淳西部圩区 grid GIS water ecological carrying capacity western polder area of Gaochun district
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