Muhammad Waseem, Tahira Khurshid, Muhammad Shahid, Muhammad Atiq Ur Rehman Tariq, Jiaqing Xiao, Tao Yang, Pengfei Shi
{"title":"评估与人类世作物产量损失风险相关的未来干旱敏感性变化","authors":"Muhammad Waseem, Tahira Khurshid, Muhammad Shahid, Muhammad Atiq Ur Rehman Tariq, Jiaqing Xiao, Tao Yang, Pengfei Shi","doi":"10.1080/02626667.2024.2377353","DOIUrl":null,"url":null,"abstract":"This study proposed a framework using Artificial Neural Networks (ANNs), the designed Residual Regression Method, and probabilistic indexing, for drought sensitivity shift analysis, associated with...","PeriodicalId":13036,"journal":{"name":"Hydrological Sciences Journal","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of future drought sensitivity shift associated with crop yield loss risk in Anthropocene\",\"authors\":\"Muhammad Waseem, Tahira Khurshid, Muhammad Shahid, Muhammad Atiq Ur Rehman Tariq, Jiaqing Xiao, Tao Yang, Pengfei Shi\",\"doi\":\"10.1080/02626667.2024.2377353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study proposed a framework using Artificial Neural Networks (ANNs), the designed Residual Regression Method, and probabilistic indexing, for drought sensitivity shift analysis, associated with...\",\"PeriodicalId\":13036,\"journal\":{\"name\":\"Hydrological Sciences Journal\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Sciences Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02626667.2024.2377353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02626667.2024.2377353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessment of future drought sensitivity shift associated with crop yield loss risk in Anthropocene
This study proposed a framework using Artificial Neural Networks (ANNs), the designed Residual Regression Method, and probabilistic indexing, for drought sensitivity shift analysis, associated with...
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
