{"title":"利用 SWAT 模型软件包建立径流对土地利用变化反应的水土评估工具模型","authors":"K. Ostad‑Ali‑Askari, M. Ghane, P. Kianmehr","doi":"10.31577/ahs-2023-0024.02.0034","DOIUrl":null,"url":null,"abstract":"Hydro-climatic degeneracies, for example moist and dissipations, have most likely enlarged owing to climatical modification and could due to diffident possessions on socio-economic, mechanical and ecological regions. To plan and concept most hydraulic structures, e.g., dams, it is vital to regulate the runoff of the rivers. If the river absences any position to live the yield, the hydraulic mockups are frequently used to estimate it. SWAT is one of the greatest widely-applied computerized models. In this prototypical, we'd like to feed such influential climatological data as precipitation, temperature, wind speed, radiation and ratio, also as, watershed data including the Curve Number (CN) and roughness coefficient to calculate the watershed runoff. Some watershed contains few weather stations, and there is a risk that the registered data in a station do not represent the whole watershed. Consequently, the amount of the runoff estimation error needs to be determined. The obtained results indicate that with a 32.07% decrease in the average monthly precipitation, sunshine, relative humidity, wind and temperature, we witness 65.36% decrease, 116.82% increase, 46.78% decrease, 127.16% increase, and 39.52% increase in modeled runoff, respectively. The wind speed and therefore the radiation are the foremost sensitive and temperature is that the least sensitive components within the runoff approximation.","PeriodicalId":321483,"journal":{"name":"Acta Hydrologica Slovaca","volume":"43 36","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Soil and water assessment tool model for runoff reaction to land use variations by SWAT model package\",\"authors\":\"K. Ostad‑Ali‑Askari, M. Ghane, P. Kianmehr\",\"doi\":\"10.31577/ahs-2023-0024.02.0034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hydro-climatic degeneracies, for example moist and dissipations, have most likely enlarged owing to climatical modification and could due to diffident possessions on socio-economic, mechanical and ecological regions. To plan and concept most hydraulic structures, e.g., dams, it is vital to regulate the runoff of the rivers. If the river absences any position to live the yield, the hydraulic mockups are frequently used to estimate it. SWAT is one of the greatest widely-applied computerized models. In this prototypical, we'd like to feed such influential climatological data as precipitation, temperature, wind speed, radiation and ratio, also as, watershed data including the Curve Number (CN) and roughness coefficient to calculate the watershed runoff. Some watershed contains few weather stations, and there is a risk that the registered data in a station do not represent the whole watershed. Consequently, the amount of the runoff estimation error needs to be determined. The obtained results indicate that with a 32.07% decrease in the average monthly precipitation, sunshine, relative humidity, wind and temperature, we witness 65.36% decrease, 116.82% increase, 46.78% decrease, 127.16% increase, and 39.52% increase in modeled runoff, respectively. The wind speed and therefore the radiation are the foremost sensitive and temperature is that the least sensitive components within the runoff approximation.\",\"PeriodicalId\":321483,\"journal\":{\"name\":\"Acta Hydrologica Slovaca\",\"volume\":\"43 36\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Hydrologica Slovaca\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31577/ahs-2023-0024.02.0034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Hydrologica Slovaca","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31577/ahs-2023-0024.02.0034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Soil and water assessment tool model for runoff reaction to land use variations by SWAT model package
Hydro-climatic degeneracies, for example moist and dissipations, have most likely enlarged owing to climatical modification and could due to diffident possessions on socio-economic, mechanical and ecological regions. To plan and concept most hydraulic structures, e.g., dams, it is vital to regulate the runoff of the rivers. If the river absences any position to live the yield, the hydraulic mockups are frequently used to estimate it. SWAT is one of the greatest widely-applied computerized models. In this prototypical, we'd like to feed such influential climatological data as precipitation, temperature, wind speed, radiation and ratio, also as, watershed data including the Curve Number (CN) and roughness coefficient to calculate the watershed runoff. Some watershed contains few weather stations, and there is a risk that the registered data in a station do not represent the whole watershed. Consequently, the amount of the runoff estimation error needs to be determined. The obtained results indicate that with a 32.07% decrease in the average monthly precipitation, sunshine, relative humidity, wind and temperature, we witness 65.36% decrease, 116.82% increase, 46.78% decrease, 127.16% increase, and 39.52% increase in modeled runoff, respectively. The wind speed and therefore the radiation are the foremost sensitive and temperature is that the least sensitive components within the runoff approximation.