{"title":"北京贵水河流域对人类活动的水文响应","authors":"Yuming Liu, Jing Zhang, Pengfei Wu, H. Gong","doi":"10.1109/Geoinformatics.2012.6270318","DOIUrl":null,"url":null,"abstract":"In this research, the year of 1986-1987 and 2005-2006 were chosen as two study periods, two land use maps on the base of two TM images of 1987 and 2005 were classified manually. Then the land use changes and weather changes were analyzed. Moreover, a SWAT model was setup and carried out in the study area to simulate the hydrological response to human activities. The results showed that: Human activities had remarkable effects on runoff. In the study periods, the direct effects affected the runoff much more than the indirect effects did. Under the indirect effects, the runoff increased by 0.47m3/s monthly, and the runoff increased by 2.36m3/s in flood season (June, July and August) when the variation percentage is 34.7%. Under the direct effects, the runoff decreases by 3.01m3/s monthly, and the runoff decreases by 8.71m3/s in flood season when the variation percentage is 95.1%. The analysis results prove that human activities can improve the water operating factor and make fewer flood disasters.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"10 16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The hydrological response to human activities in Guishui River Basin, Beijing, China\",\"authors\":\"Yuming Liu, Jing Zhang, Pengfei Wu, H. Gong\",\"doi\":\"10.1109/Geoinformatics.2012.6270318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, the year of 1986-1987 and 2005-2006 were chosen as two study periods, two land use maps on the base of two TM images of 1987 and 2005 were classified manually. Then the land use changes and weather changes were analyzed. Moreover, a SWAT model was setup and carried out in the study area to simulate the hydrological response to human activities. The results showed that: Human activities had remarkable effects on runoff. In the study periods, the direct effects affected the runoff much more than the indirect effects did. Under the indirect effects, the runoff increased by 0.47m3/s monthly, and the runoff increased by 2.36m3/s in flood season (June, July and August) when the variation percentage is 34.7%. Under the direct effects, the runoff decreases by 3.01m3/s monthly, and the runoff decreases by 8.71m3/s in flood season when the variation percentage is 95.1%. The analysis results prove that human activities can improve the water operating factor and make fewer flood disasters.\",\"PeriodicalId\":259976,\"journal\":{\"name\":\"2012 20th International Conference on Geoinformatics\",\"volume\":\"10 16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 20th International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Geoinformatics.2012.6270318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 20th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2012.6270318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The hydrological response to human activities in Guishui River Basin, Beijing, China
In this research, the year of 1986-1987 and 2005-2006 were chosen as two study periods, two land use maps on the base of two TM images of 1987 and 2005 were classified manually. Then the land use changes and weather changes were analyzed. Moreover, a SWAT model was setup and carried out in the study area to simulate the hydrological response to human activities. The results showed that: Human activities had remarkable effects on runoff. In the study periods, the direct effects affected the runoff much more than the indirect effects did. Under the indirect effects, the runoff increased by 0.47m3/s monthly, and the runoff increased by 2.36m3/s in flood season (June, July and August) when the variation percentage is 34.7%. Under the direct effects, the runoff decreases by 3.01m3/s monthly, and the runoff decreases by 8.71m3/s in flood season when the variation percentage is 95.1%. The analysis results prove that human activities can improve the water operating factor and make fewer flood disasters.