作者: Changsam Jeong , Kyungwon Joo , Wongeun Lee , Hongjoon Shin , Jun-Haeng Heo
DOI: 10.1016/J.JHER.2013.05.005
关键词: Soil and Water Assessment Tool 、 Range (statistics) 、 Weather radar 、 Precipitation 、 Remote sensing 、 Environmental science 、 SWAT model 、 Meteorology 、 Surface runoff 、 Constant altitude plan position indicator 、 Observatory
摘要: Abstract To estimate the optimal grid size for radar reflectivity, an artificial neural network (ANN) model was employed to precipitation in Soyanggangdam basin Korea. The simulated using constant altitude plan position indicator (CAPPI) data from weather observatory Gwangduksan. configure ANN model, only reflectivity of cells ground selected precipitation. An CAPPI, which exhibited minimal influence on runoff, suggested. applied a soil and water assessment tool (SWAT) is continuous physical utilized determine variation runoff peak flood. range 4–8 km obtained by analyzing runoff.