Abstract
Inundation Analysis Method for Urban Mountainous Areas Based on Soil Conservation Service Curve Number (SCS-CN) Model Using Remote Sensing Data
Highlights
China experiences more severe natural disasters than most countries,(1) and significant economic loss and human casualties due to natural disasters are higher in China than worldwide averages.[1,2] China frequently encounters flood and waterlogging disasters, which are sudden and destructive and cause heavy losses to urban safety, industrial and agricultural production, and residents.[3,4]A flood is a phenomenon in which the water level of a river and/or lake rises in a short period of time to the point that it overflows into areas that normally have no water.[1]
Flood inundation analysis is an important part of flood prevention, and its timeliness and precision are crucially related to disaster reduction.[5,6] Flood inundation analysis is typically implemented using hydrological basin models to simulate the flood flow area on the basis of the water body’s fluid characteristics.[7,8] These models include the soil conservation service curve number (SCS-CN) model,(9) soil and water assessment tool (SWAT),(10) erosion productivity impact calculator (EPIC),(11) hydrologic modeling system (HEC-HMS),(12) FloodArea model,(13) and
TOPMODEL,(14) which perform flood inundation analysis by calculating surface runoff using rainfall and supporting data.[15,16] The SCS-CN model has been widely used because of its reasonable and basic hypothesis and simple structure.[9,15,16] The curve number (CN) of the SCS-CN model, provided by a CN table, is the only comprehensive parameter related to soil type, antecedent moisture condition (AMC), land-use type, slope, and other factors.[9,15,16] this table is obtained from statistical and genetic analyses based on the physical geography and hydrometeorological conditions of the United States
Summary
China experiences more severe natural disasters than most countries,(1) and significant economic loss and human casualties due to natural disasters are higher in China than worldwide averages.[1,2] China frequently encounters flood and waterlogging disasters, which are sudden and destructive and cause heavy losses to urban safety, industrial and agricultural production, and residents.[3,4]A flood is a phenomenon in which the water level of a river and/or lake rises in a short period of time to the point that it overflows into areas that normally have no water.[1]. Remote sensing technology offers a range of advantages for data acquisition (e.g., collection of all-weather, all-directional, multiplatform, multispectral, multialtitude, multiangle, multitemporal, and multispatial data) that can accurately reflect land-use and morphological changes.[3,4,17,18,19] To quantitatively analyze rainfall-runoff characteristics and obtain more accurate flood inundation area estimates, we propose a new method of flood inundation analysis based in the SCS-CN model using remote sensing data. The results presented here provide a new method and data for accurately assessing the range of flood inundation and risk in urban mountainous areas
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