{"title":"未来土地利用变化对洪水淹没面积的影响——以缅甸巴固河流域为例","authors":"Shin Yonehara, A. Kawasaki, W. Takeuchi","doi":"10.5638/thagis.25.23","DOIUrl":null,"url":null,"abstract":"Flood management is one of the most urgent problems in Southeast Asia. In this research, land use projection by GIS and statistical model, rainfall-runoff model and hydraulic model were integrated to analyze the impact of future urbanization and deforestation on flood vulnerability in a local scale. Based on land use scenarios, flood simulation was conducted. The results show that urbanization, deforestation and development of croplands will actually increase peak discharge during flood while reforestation will reduce it. Furthermore, the difference between the worst and best scenarios was estimated as 3.68km in inundated area and approximately 0.5m in flood depth in the study area. This result shows maximum difference in uncertain future. This integrated scheme would support land development plan or policy from the viewpoint of disaster risk reduction.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Impact of Future Land Use Change on Flood Inundation Area: Case study in the Bago River basin, Myanmar\",\"authors\":\"Shin Yonehara, A. Kawasaki, W. Takeuchi\",\"doi\":\"10.5638/thagis.25.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Flood management is one of the most urgent problems in Southeast Asia. In this research, land use projection by GIS and statistical model, rainfall-runoff model and hydraulic model were integrated to analyze the impact of future urbanization and deforestation on flood vulnerability in a local scale. Based on land use scenarios, flood simulation was conducted. The results show that urbanization, deforestation and development of croplands will actually increase peak discharge during flood while reforestation will reduce it. Furthermore, the difference between the worst and best scenarios was estimated as 3.68km in inundated area and approximately 0.5m in flood depth in the study area. This result shows maximum difference in uncertain future. This integrated scheme would support land development plan or policy from the viewpoint of disaster risk reduction.\",\"PeriodicalId\":177070,\"journal\":{\"name\":\"Theory and Applications of GIS\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theory and Applications of GIS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5638/thagis.25.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory and Applications of GIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5638/thagis.25.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of Future Land Use Change on Flood Inundation Area: Case study in the Bago River basin, Myanmar
Flood management is one of the most urgent problems in Southeast Asia. In this research, land use projection by GIS and statistical model, rainfall-runoff model and hydraulic model were integrated to analyze the impact of future urbanization and deforestation on flood vulnerability in a local scale. Based on land use scenarios, flood simulation was conducted. The results show that urbanization, deforestation and development of croplands will actually increase peak discharge during flood while reforestation will reduce it. Furthermore, the difference between the worst and best scenarios was estimated as 3.68km in inundated area and approximately 0.5m in flood depth in the study area. This result shows maximum difference in uncertain future. This integrated scheme would support land development plan or policy from the viewpoint of disaster risk reduction.