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Study and Analysis of Chennai Flood 2015 Using GIS and Multicriteria Technique
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作者 Muthusamy Seenirajan Muthusamy Natarajan +1 位作者 Ramasamy Thangaraj murugesan bagyaraj 《Journal of Geographic Information System》 2017年第2期126-140,共15页
Terrain characteristics of the land and meteorological properties of the region are the main natural factors for flood. The recent flood in Chennai was unexpected and not triggered by the above factors. Sometimes floo... Terrain characteristics of the land and meteorological properties of the region are the main natural factors for flood. The recent flood in Chennai was unexpected and not triggered by the above factors. Sometimes floods occur when the watershed size is considerably small which leads to the over flow of water inland may due to the encroachment and the urban development of the city. Temporarily used backwater effects in sewers and local drainage channels and creation of unsanitary conditions may cause flooding. Chennai flood was basically claimed to occur due to improper drainage system and underlying strata which was found to be landfill over the ponds and lakes. The Coouam River which flows through the centre of main city was found silting due to the improper drainage facilities and encroachment by the local peoples who causes flood. For the analysis of potentially affected areas Geographical Information System (GIS) integrated with Multicriteria Decision Analysis (MCDA) were employed. Ranking and displaying the potentially risky areas, the spatial Multicriteria analysis was used. It has been revealed that all most all the area’s having populations are likely to be exposed to flood hazard. At the end of study, a map of flood risk areas was generated and studied with a view to assisting decision makers on the consequences posed by the disaster. 展开更多
关键词 GEOGRAPHICAL Information System MULTI-CRITERIA Decision ANALYSIS FLOOD Risk FLOOD Potential Map
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Application of remote sensing and GIS analysis for identifying groundwater potential zone in parts of Kodaikanal Taluk, South India 被引量:6
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作者 murugesan bagyaraj Thirunavukkarasu RAMKUMAR +1 位作者 Senapathi VENKATRAMANAN Balasubramanian GURUGNANAM 《Frontiers of Earth Science》 SCIE CAS CSCD 2013年第1期65-75,共11页
Groundwater potential zones were demarcated with the help of remote sensing and Geographic Informa- tion System (GIS) techniques. The study area is composed rocks of Archaean age and chamockite dominated over others... Groundwater potential zones were demarcated with the help of remote sensing and Geographic Informa- tion System (GIS) techniques. The study area is composed rocks of Archaean age and chamockite dominated over others. The parameters considered for identifying the groundwater potential zone of geology slope, drainage density, geomorphic units and lineament density were generated using the resource sat (IRS P6 LISS IV MX) data and survey of India (SO1) toposheets of scale 1:50000 and integrated them with an inverse distance weighted (IDW) model based on GIS data to identify the ground- water potential of the study area. Suitable weightage factors were assigned for each category of these para- meters. For the various geomorphic units, weightage factors were assigned based on their capability to store ground-water. This procedure was repeated for all the other layers and resultant layers were reclassified. The reclassi- fied layers were then combined to demarcate zones as very good, good, moderate, low, and poor. This groundwater potentiality information could be used for effective identification of suitable locations for extraction of potable water for rural populations. 展开更多
关键词 remote sensing GIS SLOPE geomorphic LINEAMENT Kodaikanal
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