{"title":"变化环境下水文模拟模型的时变参数","authors":"","doi":"10.1016/j.jhydrol.2024.131943","DOIUrl":null,"url":null,"abstract":"<div><p>Time-varying parameters of hydrological models play a crucial role in capturing the dynamic nature of hydrological processes and nonpoint source pollution under changing environments. In this study, the SWAT-DynamicParam model was developed by integrating the Soil and Water Assessment Tool (SWAT) model with an ensemble Kalman filter (EnKF) to identify and analyze time-varying parameters. The results showed that the SWAT-DynamicParam framework is capable of effectively identifying multiple time-varying characteristics of parameters. The combination of flow and evapotranspiration (ET) data can accurately identify changes in CANMX (Maximum canopy storage), CN2 (Initial SCS runoff curve number for moisture condition II) and ALPHA_BF (Baseflow alpha factor), with the Relative Absolute Error 5%. Compared with using static parameters, the model simulation effect was improved by more than 30% when using time-varying parameters. In addition, the variation in parameters showed significant spatio-temporal heterogeneity. The change trend of parameters at Weijiabao station showed the largest fluctuation, with a range greater than 100. Temporally, CN2 and ALPHA_BF both reached peak values in 2008 while the trend of CANMX was the opposite. At the monthly scale, the trends of ALPHA_BF and CANMX were similar: Values were at a minimum in April and May, with the range is 2.57 times the minimum value. The CN2′s lowest value was recorded in August, whereas December saw its highest, reaching 82. In summary, the SWAT-DynamicParam model enhanced simulation accuracy by over 30%, demonstrating the pivotal role of accurately identified time-varying parameters in capturing the dynamic nature of hydrological processes and their response to environmental changes.</p></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":null,"pages":null},"PeriodicalIF":5.9000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-varying parameters of the hydrological simulation model under a changing environment\",\"authors\":\"\",\"doi\":\"10.1016/j.jhydrol.2024.131943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Time-varying parameters of hydrological models play a crucial role in capturing the dynamic nature of hydrological processes and nonpoint source pollution under changing environments. In this study, the SWAT-DynamicParam model was developed by integrating the Soil and Water Assessment Tool (SWAT) model with an ensemble Kalman filter (EnKF) to identify and analyze time-varying parameters. The results showed that the SWAT-DynamicParam framework is capable of effectively identifying multiple time-varying characteristics of parameters. The combination of flow and evapotranspiration (ET) data can accurately identify changes in CANMX (Maximum canopy storage), CN2 (Initial SCS runoff curve number for moisture condition II) and ALPHA_BF (Baseflow alpha factor), with the Relative Absolute Error 5%. Compared with using static parameters, the model simulation effect was improved by more than 30% when using time-varying parameters. In addition, the variation in parameters showed significant spatio-temporal heterogeneity. The change trend of parameters at Weijiabao station showed the largest fluctuation, with a range greater than 100. Temporally, CN2 and ALPHA_BF both reached peak values in 2008 while the trend of CANMX was the opposite. At the monthly scale, the trends of ALPHA_BF and CANMX were similar: Values were at a minimum in April and May, with the range is 2.57 times the minimum value. The CN2′s lowest value was recorded in August, whereas December saw its highest, reaching 82. In summary, the SWAT-DynamicParam model enhanced simulation accuracy by over 30%, demonstrating the pivotal role of accurately identified time-varying parameters in capturing the dynamic nature of hydrological processes and their response to environmental changes.</p></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2024-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022169424013398\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169424013398","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Time-varying parameters of the hydrological simulation model under a changing environment
Time-varying parameters of hydrological models play a crucial role in capturing the dynamic nature of hydrological processes and nonpoint source pollution under changing environments. In this study, the SWAT-DynamicParam model was developed by integrating the Soil and Water Assessment Tool (SWAT) model with an ensemble Kalman filter (EnKF) to identify and analyze time-varying parameters. The results showed that the SWAT-DynamicParam framework is capable of effectively identifying multiple time-varying characteristics of parameters. The combination of flow and evapotranspiration (ET) data can accurately identify changes in CANMX (Maximum canopy storage), CN2 (Initial SCS runoff curve number for moisture condition II) and ALPHA_BF (Baseflow alpha factor), with the Relative Absolute Error 5%. Compared with using static parameters, the model simulation effect was improved by more than 30% when using time-varying parameters. In addition, the variation in parameters showed significant spatio-temporal heterogeneity. The change trend of parameters at Weijiabao station showed the largest fluctuation, with a range greater than 100. Temporally, CN2 and ALPHA_BF both reached peak values in 2008 while the trend of CANMX was the opposite. At the monthly scale, the trends of ALPHA_BF and CANMX were similar: Values were at a minimum in April and May, with the range is 2.57 times the minimum value. The CN2′s lowest value was recorded in August, whereas December saw its highest, reaching 82. In summary, the SWAT-DynamicParam model enhanced simulation accuracy by over 30%, demonstrating the pivotal role of accurately identified time-varying parameters in capturing the dynamic nature of hydrological processes and their response to environmental changes.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.