{"title":"基于SWAT模型的南溪河流域子木河降雨径流过程模拟研究","authors":"Zhenling, Zhengtao Shi, Wenfei Xi, Jie Li, Bin Su","doi":"10.1109/GEOINFORMATICS.2018.8557170","DOIUrl":null,"url":null,"abstract":"This study, based on the experimental observation of small watershed, uses the GIS platform and the remote sensing data as the distributed hydrological model SWAT. It uses the measured data to simulate the rainfall runoff process in the small watershed of Zi Mu river. The results show that the runoff is more consistent and the model efficiency coefficient is 0.59 after the parameters are determined. The model can better simulate the rainfall runoff process in the study area. Through the determined sensitivity parameters, the sensitivity parameters of the rain season runoff in the study area were identified which will provide reference for the hydrological modeling of the N anxi river state.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"204 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Research Based on SWAT Model of Rainfall-Runoff Process Simulation in Zimu River in Nanxi River Basin\",\"authors\":\"Zhenling, Zhengtao Shi, Wenfei Xi, Jie Li, Bin Su\",\"doi\":\"10.1109/GEOINFORMATICS.2018.8557170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study, based on the experimental observation of small watershed, uses the GIS platform and the remote sensing data as the distributed hydrological model SWAT. It uses the measured data to simulate the rainfall runoff process in the small watershed of Zi Mu river. The results show that the runoff is more consistent and the model efficiency coefficient is 0.59 after the parameters are determined. The model can better simulate the rainfall runoff process in the study area. Through the determined sensitivity parameters, the sensitivity parameters of the rain season runoff in the study area were identified which will provide reference for the hydrological modeling of the N anxi river state.\",\"PeriodicalId\":142380,\"journal\":{\"name\":\"2018 26th International Conference on Geoinformatics\",\"volume\":\"204 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 26th International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GEOINFORMATICS.2018.8557170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Research Based on SWAT Model of Rainfall-Runoff Process Simulation in Zimu River in Nanxi River Basin
This study, based on the experimental observation of small watershed, uses the GIS platform and the remote sensing data as the distributed hydrological model SWAT. It uses the measured data to simulate the rainfall runoff process in the small watershed of Zi Mu river. The results show that the runoff is more consistent and the model efficiency coefficient is 0.59 after the parameters are determined. The model can better simulate the rainfall runoff process in the study area. Through the determined sensitivity parameters, the sensitivity parameters of the rain season runoff in the study area were identified which will provide reference for the hydrological modeling of the N anxi river state.
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