Open AccessMountain flooding analysis based on SCS-CN model – A case study in Mingxi, China
Author(s) -
Xinyue He,
Chao Chen,
Yue Liu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/780/7/072048
Subject(s) - flood myth , hydrology (agriculture) , surface runoff , environmental science , watershed , flooding (psychology) , china , land use , waterlogging (archaeology) , physical geography , wetland , geography , geology , geotechnical engineering , psychology , archaeology , psychotherapist , ecology , civil engineering , machine learning , computer science , engineering , biology
Flood and waterlogging disaster occurs frequently, which seriously threatens people’s life and properties. The SCS-CN model takes into account the characteristics of various factors such as rainfall, soil type, land use, soil moisture and surface runoff. In this paper, the SCS-CN model is introduced to the analysis of flood inundation in mountain areas. Firstly, remote sensing data, land use status map, topographic map are used to obtain land-use type, slope and other data. Then, watershed analysis is carried out based on SCS-CN model to obtain runoff data. Finally, based on rainfall data, the inundated area is estimated, and the spatial and temporal distribution characteristics of inundation area were analyzed from the perspective of land use. The experimental results of Mingxi county in Fujian province, China show that this method is effective for the analysis of flood inundation in mountainous areas.