Recently, flood damages have increased worldwide due to global warming and climate change. According to the Report of the Intergovernmental Panel on Climate Change(IPCC), extreme weather events such as heat wave, drou...Recently, flood damages have increased worldwide due to global warming and climate change. According to the Report of the Intergovernmental Panel on Climate Change(IPCC), extreme weather events such as heat wave, drought, and flood are expected to increase in the future. It is thus necessary to realize that larger and more frequent flood disasters are rapidly nearing us, and need to prepare for them accordingly. This research aims to provide a framework for extreme flood management, beginning with the establishment of extreme flood definition from a more general point of view through reviewing existing literature and references. Also, the purpose of this research is to identify the current status of flood forecasting in the ESCAP/WMP Typhoon Committee's member countries and to provide recommendations on extreme flood forecasting and flood risk management.in member countries.展开更多
Due to abnormal weather environment such as global warming and greenhouse effect, the risk of flood has been increased with larger scale of flood damages. In this regard, it is needed to establish a comprehensive and ...Due to abnormal weather environment such as global warming and greenhouse effect, the risk of flood has been increased with larger scale of flood damages. In this regard, it is needed to establish a comprehensive and integrated system to evaluate the most optimized measures for flood control through eliminating uncertainties of socio-economic impacts. Assessment System of Structural Flood Control Measures(ASFCM) was developed for determining investment priorities of the flood control measures and establishing the social infrastructure projects. ASFCM consists of three modules: 1) the initial setup and inputs module, 2) the flood and damage estimation module, and 3) the socio-economic analysis module.First, the D/B for flood damage estimation was constructed, which is the initial and input data about the estimation unit, property, historical flood damages, and topographic and hydrological data in the target area were applied. After that, it is important to classify local characteristic for constructing flood damage data. Five local characteristics(big city, medium size city, small city, farming area, and mountain area) are classified by criterion of application(population density). Next step is the floodplain simulation with HEC-RAS which is selected to simulate inundation. Through inputting the D/B and damage estimation, it is able to estimate the total damage(only direct damage) that is the amount of cost to recover the socio-economic activities back to the safe level before flood did occur. The last module suggests the economic analysis index(B/C ratio) with Multidimensional Flood Damage. Consequently, ASFCM suggests the reference index in constructing flood control measures to reduce water-related damage and decision-makers can choose the proper flood control measures in the socioeconomic aspects.展开更多
文摘Recently, flood damages have increased worldwide due to global warming and climate change. According to the Report of the Intergovernmental Panel on Climate Change(IPCC), extreme weather events such as heat wave, drought, and flood are expected to increase in the future. It is thus necessary to realize that larger and more frequent flood disasters are rapidly nearing us, and need to prepare for them accordingly. This research aims to provide a framework for extreme flood management, beginning with the establishment of extreme flood definition from a more general point of view through reviewing existing literature and references. Also, the purpose of this research is to identify the current status of flood forecasting in the ESCAP/WMP Typhoon Committee's member countries and to provide recommendations on extreme flood forecasting and flood risk management.in member countries.
文摘Due to abnormal weather environment such as global warming and greenhouse effect, the risk of flood has been increased with larger scale of flood damages. In this regard, it is needed to establish a comprehensive and integrated system to evaluate the most optimized measures for flood control through eliminating uncertainties of socio-economic impacts. Assessment System of Structural Flood Control Measures(ASFCM) was developed for determining investment priorities of the flood control measures and establishing the social infrastructure projects. ASFCM consists of three modules: 1) the initial setup and inputs module, 2) the flood and damage estimation module, and 3) the socio-economic analysis module.First, the D/B for flood damage estimation was constructed, which is the initial and input data about the estimation unit, property, historical flood damages, and topographic and hydrological data in the target area were applied. After that, it is important to classify local characteristic for constructing flood damage data. Five local characteristics(big city, medium size city, small city, farming area, and mountain area) are classified by criterion of application(population density). Next step is the floodplain simulation with HEC-RAS which is selected to simulate inundation. Through inputting the D/B and damage estimation, it is able to estimate the total damage(only direct damage) that is the amount of cost to recover the socio-economic activities back to the safe level before flood did occur. The last module suggests the economic analysis index(B/C ratio) with Multidimensional Flood Damage. Consequently, ASFCM suggests the reference index in constructing flood control measures to reduce water-related damage and decision-makers can choose the proper flood control measures in the socioeconomic aspects.
