摘要
利用2016年9景Landsat影像以及相应时期的实测水质参数数据对湘江长沙段进行水质参数的遥感反演,并引入灾害风险中的危险性及易损性相关概念,通过Arc GIS软件的空间分析功能对湘江长沙段水域风险进行了分析。结果表明:高风险区主要分布于湘江的两岸,并且位于风险源较密集的区域;较高风险区主要位于湘江的两侧以及饮用水源区桥梁所处的位置;中等风险区主要分布于饮用水源区;较低风险区和低风险区主要位于过渡区以及景观娱乐用水区。在传统的水域风险评估中引入遥感技术使得评估方法更为多样且影响因子考虑的更为全面。研究结果对于河流水利管理部门进行水域风险评估、相关水域风险预警与整治方案的制定具有一定的参考价值。
Using the 9 Landsat images in 2016 and the measured water quality data of the corresponding period,the water quality parameters were retrieved from Changsha section of Xiangjiang,and the risk and vulnerability related concepts in disaster risk were introduced,and the water risk in the Changsha section of Xiangjiang was analyzed with the spatial analysis function of the ArcGIS software.The results showed that the high risk areas are mainly distributed on both sides of Xiangjiang,and are located in the areas with dense risk sources,and the higher risk areas are mainly located on both sides of Xiangjiang and the location of the bridge in the drinking water source area,the middle risk area is mainly distributed in the drinking water source area;the lower risk area and the low risk area are mainly located in the transitional area and the recreational water consumption area.The introduction of remote sensing technology in traditional water risk assessment makes the assessment methods more diverse and the impact factors more comprehensive.The results of this study provide a certain reference value for river water manage-ment departments to carry out water risk assessment,related waters risk early warning and the formulation of regulation scheme.
作者
叶帮玲
杨波
曾扬
司云瑞
胡可
唐涛
李永刚
李景保
于丹丹
YE Bungling;YANG Bo;ZENG Yang;SI Yunrui;HU Ke;TANG Tao;LI Yonggang;LI Jingbao;YU Dandan(GIS research center,Geospatial Key Laboratory of big data mining and Application,College of resources and Environmental Sciences,Hunan Normal University,Changsha 410081,China;Water Resources Department of Hunan Province,Changsha 410007,China)
出处
《水资源与水工程学报》
CSCD
2018年第6期41-46,52,共7页
Journal of Water Resources and Water Engineering
基金
国家自然科学基金项目(41071067)
湖南省水利厅专项项目
关键词
遥感
地理信息系统
水域风险评估
水质反演
湘江长沙段
remote sensing
geographic information system
water risk assessment
water qualityinversion
Changsha section of Xiangjiang