INTEGRATION OF REMOTE SENSING AND GIS IN GROUND WATER QUALITY ASSESSMENT AND MANAGEMENT

被引:3
作者
Shakak, Nadia Babiker Ibrahim [1 ]
机构
[1] Oumdorma Univ, Ground Water Resource Gen Directorate, Sudan Author Remote Sensing Ctr & Geog Informat S, UNESCO Chair Water Resource Sci,Minisrty Water Re, Nile St, Khartoum, Sudan
来源
36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT | 2015年 / 47卷 / W3期
关键词
Ground Water Quality; Potable Drinkable; Irrigation; Parameters; Spatial interpolation.Satellite image;
D O I
10.5194/isprsarchives-XL-7-W3-1483-2015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Spatial variations in ground water quality in the Khartoum state, Sudan, have been studied using geographic information system ( GIS) and remote sensing technique. Gegraphical informtion system a tool which is used for storing, analyzing and displaying spatial data is also used for investigating ground water quality information. Khartoum landsat mosac image aquired in 2013was used, Arc/Gis software applied to extract the boundary of the study area, the image was classified to create land use/land cover map. The land use map, geological and soil map are used for correlation between land use, geological formations, and soil types to understand the source of natural pollution that can lower the ground water quality. For this study, the global positioning system ( GPS), used in the field to identify the borehole location in a three dimentional coordinate ( Latitude, longitude, and altitude), water samples were collected from 156 borehole wells, and analyzed for physico-chemical parameters like electrical conductivity, Total dissolved solid, Chloride, Nitrate, Sodium, Magnisium, Calcium, and Flouride, using standard techniques in the laboratory and compared with the standards. The ground water quality maps of the entire study area have been prepared using spatial interpolation technique for all the above parameters. then the created maps used to visualize, analyze, and understand the relationship among the measured points. Mapping was coded for potable zones, non-potable zones in the study area, in terms of water quality sutability for drinking water and sutability for irrigation. In general satellite remote sensing in conjunction with geographical information system ( GIS) offers great potential for water resource development and management
引用
收藏
页码:1483 / 1490
页数:8
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