{"title":"利用MCDM技术绘制滑坡危险分区——卡纳塔克邦柯达古地区的研究","authors":"Sreedevi Narayana, Karthikeyan Jayaraman","doi":"10.25303/1609da060070","DOIUrl":null,"url":null,"abstract":"Landslides pose significant and recurring hazards in various parts of India, particularly during the rainy season, causing extensive damage to infrastructure and loss of life. To address this issue, it is crucial to map the hazardous zones, raise awareness among local communities and guide authorities in disaster management efforts. This study aimed to develop a landslide hazard zonation map using different thematic maps such as aspect, drainage density, geology, lineament density, land use land cover, rainfall, road network, slope and soil layers. The study employing methods such as AHP and a modified power method was based on AHP for the development of landslide hazard zonation maps. The findings indicated that the PM-AHP technique yielded superior results in identifying highly risky zones. According to this method, approximately 250.65 sq.km. of the area was classified as falling within the highly risky zone.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Landslide Hazard Zonation Mapping using MCDM Techniques – A study over Kodagu District, Karnataka\",\"authors\":\"Sreedevi Narayana, Karthikeyan Jayaraman\",\"doi\":\"10.25303/1609da060070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Landslides pose significant and recurring hazards in various parts of India, particularly during the rainy season, causing extensive damage to infrastructure and loss of life. To address this issue, it is crucial to map the hazardous zones, raise awareness among local communities and guide authorities in disaster management efforts. This study aimed to develop a landslide hazard zonation map using different thematic maps such as aspect, drainage density, geology, lineament density, land use land cover, rainfall, road network, slope and soil layers. The study employing methods such as AHP and a modified power method was based on AHP for the development of landslide hazard zonation maps. The findings indicated that the PM-AHP technique yielded superior results in identifying highly risky zones. According to this method, approximately 250.65 sq.km. of the area was classified as falling within the highly risky zone.\",\"PeriodicalId\":50576,\"journal\":{\"name\":\"Disaster Advances\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Disaster Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25303/1609da060070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disaster Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25303/1609da060070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Landslide Hazard Zonation Mapping using MCDM Techniques – A study over Kodagu District, Karnataka
Landslides pose significant and recurring hazards in various parts of India, particularly during the rainy season, causing extensive damage to infrastructure and loss of life. To address this issue, it is crucial to map the hazardous zones, raise awareness among local communities and guide authorities in disaster management efforts. This study aimed to develop a landslide hazard zonation map using different thematic maps such as aspect, drainage density, geology, lineament density, land use land cover, rainfall, road network, slope and soil layers. The study employing methods such as AHP and a modified power method was based on AHP for the development of landslide hazard zonation maps. The findings indicated that the PM-AHP technique yielded superior results in identifying highly risky zones. According to this method, approximately 250.65 sq.km. of the area was classified as falling within the highly risky zone.