{"title":"基于 EFAST 方法的不同气象条件下冬小麦 AquaCrop 模型参数灵敏度分析","authors":"Huimin Xing, Qi Sun, Zhiguo Li, Zhen Wang, Haikuan Feng","doi":"10.15244/pjoes/186111","DOIUrl":null,"url":null,"abstract":"To analyze the global sensitivity of winter wheat parameters using the AquaCrop model on a global scale, the extended Fourier amplitude sensitivity test (EFAST) was utilized to identify parameter sensitivity differences in different regions and meteorological conditions represented by eight stations in Henan Province, including Zhengzhou, Anyang, Shangqiu, Luanchuan, Nanyang, Xuchang, Zhumadian, and Xinyang. The results showed that: (1) the sensitivity of crop parameters is little affected by meteorological conditions for biomass, and the sensitivity parameters of the eight regions were consistent; there were minimum growing degrees required for total biomass production ( stbio ), normalized water productivity ( wp ), maximum canopy cover in fraction soil cover ( mcc ), crop coefficient when the canopy was complete but prior to senescence ( kcb ), Growing degree-days (GDD)-from sowing to emergence ( eme ), and GGD-increase in canopy cover ( cgc ); (2) for canopy cover, the most sensitive parameters were mcc , cgc , soil surface covered by an individual seedling at 90% emergence ( ccs ), and other parameters were more sensitive in early growth stage of winter wheat; (3) for yield, GDD-from sowing to flowering ( flo ) was the most sensitive parameter. The results of this study will provide support for the use of the AquaCrop model to investigate crop management at the local level.","PeriodicalId":510399,"journal":{"name":"Polish Journal of Environmental Studies","volume":"6 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensitivity Analysis of AquaCrop Model\\nParameters for Winter Wheat under\\nDifferent Meteorological Conditions\\nBased on the EFAST Method\",\"authors\":\"Huimin Xing, Qi Sun, Zhiguo Li, Zhen Wang, Haikuan Feng\",\"doi\":\"10.15244/pjoes/186111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To analyze the global sensitivity of winter wheat parameters using the AquaCrop model on a global scale, the extended Fourier amplitude sensitivity test (EFAST) was utilized to identify parameter sensitivity differences in different regions and meteorological conditions represented by eight stations in Henan Province, including Zhengzhou, Anyang, Shangqiu, Luanchuan, Nanyang, Xuchang, Zhumadian, and Xinyang. The results showed that: (1) the sensitivity of crop parameters is little affected by meteorological conditions for biomass, and the sensitivity parameters of the eight regions were consistent; there were minimum growing degrees required for total biomass production ( stbio ), normalized water productivity ( wp ), maximum canopy cover in fraction soil cover ( mcc ), crop coefficient when the canopy was complete but prior to senescence ( kcb ), Growing degree-days (GDD)-from sowing to emergence ( eme ), and GGD-increase in canopy cover ( cgc ); (2) for canopy cover, the most sensitive parameters were mcc , cgc , soil surface covered by an individual seedling at 90% emergence ( ccs ), and other parameters were more sensitive in early growth stage of winter wheat; (3) for yield, GDD-from sowing to flowering ( flo ) was the most sensitive parameter. The results of this study will provide support for the use of the AquaCrop model to investigate crop management at the local level.\",\"PeriodicalId\":510399,\"journal\":{\"name\":\"Polish Journal of Environmental Studies\",\"volume\":\"6 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polish Journal of Environmental Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15244/pjoes/186111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polish Journal of Environmental Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15244/pjoes/186111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensitivity Analysis of AquaCrop Model
Parameters for Winter Wheat under
Different Meteorological Conditions
Based on the EFAST Method
To analyze the global sensitivity of winter wheat parameters using the AquaCrop model on a global scale, the extended Fourier amplitude sensitivity test (EFAST) was utilized to identify parameter sensitivity differences in different regions and meteorological conditions represented by eight stations in Henan Province, including Zhengzhou, Anyang, Shangqiu, Luanchuan, Nanyang, Xuchang, Zhumadian, and Xinyang. The results showed that: (1) the sensitivity of crop parameters is little affected by meteorological conditions for biomass, and the sensitivity parameters of the eight regions were consistent; there were minimum growing degrees required for total biomass production ( stbio ), normalized water productivity ( wp ), maximum canopy cover in fraction soil cover ( mcc ), crop coefficient when the canopy was complete but prior to senescence ( kcb ), Growing degree-days (GDD)-from sowing to emergence ( eme ), and GGD-increase in canopy cover ( cgc ); (2) for canopy cover, the most sensitive parameters were mcc , cgc , soil surface covered by an individual seedling at 90% emergence ( ccs ), and other parameters were more sensitive in early growth stage of winter wheat; (3) for yield, GDD-from sowing to flowering ( flo ) was the most sensitive parameter. The results of this study will provide support for the use of the AquaCrop model to investigate crop management at the local level.