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基于GIS的区域集水指数分析——以潮田河流域为例
引用本文:许睿, 李建, 文建辉. 基于GIS的区域集水指数分析——以潮田河流域为例[J]. 中国岩溶, 2021, 40(2): 319-324. doi: 10.11932/karst202102y19
作者姓名:许睿  李建  文建辉
作者单位:1.桂林电子科技大学生命与环境科学学院;;2.桂林市环境监测中心站
基金项目:国家自然科学基金(41501342);广西重点研发计划(桂科AB16380303);桂林市科技开发计划(20160216-5);桂林电子科技大学研究生教育创新计划资助项目(2016YJCX42)
摘    要:为研究岩溶发育区域的流域集水情况,采取遥感(RS)和地理信息系统(GIS)技术对潮田河流域进行分析,以区域环境指标地形指数、地表指数和植被指数为主要参数,构建基于栅格的综合集水指数评估模型。结果表明:潮田河流域集水综合指数平均值为2.91,区域的汇水权重为地形(0.423 52>)植被(0.296 91) >地表(0.219 55),地形状态指数对流域集水影响最大,地表状态指数和植被状态指数影响较小,岩溶发育强烈和水系密度偏差区域分布在集水综合等级低于III级的区域。

关 键 词:GIS   岩溶发育区   综合指数评价

Analysis of regional catchment index based on GIS: An example of the Chaotian river basin
XU Rui, LI Jian, WEN Jianhui. Analysis of regional catchment index based on GIS: An example of the Chaotian river basin[J]. CARSOLOGICA SINICA, 2021, 40(2): 319-324. doi: 10.11932/karst202102y19
Authors:XU Rui  LI Jian  WEN Jianhui
Affiliation:1. Guilin University of Electronic Science and Technology College of Life and Environmental Sciences;;2. Guilin Environmental Monitoring Center Station
Abstract:In order to evaluate the catchment situation more effectively,a comprehensive catchment index evaluation model based on grid was constructed by remote sensing(RS) and geographic information system(GIS)for the Chaotian River basis. It took topographic index,surface index and vegetation index as main parameters. The results show that the average value of regional catchment comprehensive index is 2.91,and the magnitude order of catchment weights is topography(0.42352)> vegetation(0.29691)> surface(0.21955). The topographic state index has the greatest influence on catchment,while the surface state index and vegetation state index have relatively little influence. The areas with intense karst development and deviation of water system density are distributed in the areas with catchment comprehensive grade lower than III. 
Keywords:GIS  karst development area  comprehensive index evaluation
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