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  • 标题:GIS FOR POINT-SOURCE POLLUTANT DISPERSAL ANALYSIS
  • 本地全文:下载
  • 作者:Kausalya Ramachandran ; I.V. Muralikrishna
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2000
  • 卷号:XXXIII Part B7(/1-4)
  • 页码:1225-1230
  • 出版社:Copernicus Publications
  • 摘要:Point-source pollution due to H-acid - a dye intermediate, leaching into subsurface from a factory storage facility in Bichhri in Rajasthan, India, led to groundwater and soil contamination since 1988. Satellite data, soil and groundwater sampling and their integration with resource maps of the region in ARC/INFO GIS, enabled the study of H-acid dispersion in soil and groundwater which had adverse impact on land use/land cover and the life of the residents. Application of GIS for overlay of maps of various themes, viz., land use/ land cover, hydro-geomorphology, groundwater potential, soil types, land capability and H-acid conc. in soil and groundwater, enabled the assessment of magnitude of H-acid contamination in the area. Significantly, H-acid conc. in soil extracts of surface and subsurface soil by far, exceeded the concentration level in ground water; H-acid conc. was 4000 - 7000 mg/kg in soil extract while it ranged between 2 - 50 mg/l in groundwater in 1998. GIS map-union using plots of H-acid conc. in ground water with hydro-geomorphology of the region, indicated the magnitude of aquifer contamination. Areas with varying H -acid concentration levels were delineated; it was noted that over 3.1 Km 2 was contaminated with < 1 mg/l while 0.02 Km 2 was polluted with 500 mg/l. This analysis has facilitated in the estimation of cost of ameliorative measures necessary for cleanup. Fortunately, since 1998 the H-acid conc. has declined both in soil and groundwater o wing to the passage of several hydrological cycles, as indicated by the gradual return of agricultural activity in the region
  • 关键词:Chemical dispersion; GIS; Land use/Land cover; Monitoring; Multi-sensor; Remo te sensing; Soil ; quality; Water quality
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