{"title":"加纳地下水的氟化物污染有多普遍?","authors":"Dahyann Araya, J. Podgorski, M. Berg","doi":"10.53014/ogjs9699","DOIUrl":null,"url":null,"abstract":"Spatial modelling using machine-learning methods to predict fluoride occurrence in groundwater has vast potential in data-scarce contexts such as Ghana. Hazard risk maps can help inform health policy targeted towards communities at high risk.","PeriodicalId":393895,"journal":{"name":"Water Science Policy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How widespread is fluoride contamination of Ghana’s groundwater?\",\"authors\":\"Dahyann Araya, J. Podgorski, M. Berg\",\"doi\":\"10.53014/ogjs9699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spatial modelling using machine-learning methods to predict fluoride occurrence in groundwater has vast potential in data-scarce contexts such as Ghana. Hazard risk maps can help inform health policy targeted towards communities at high risk.\",\"PeriodicalId\":393895,\"journal\":{\"name\":\"Water Science Policy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Science Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53014/ogjs9699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Science Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53014/ogjs9699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How widespread is fluoride contamination of Ghana’s groundwater?
Spatial modelling using machine-learning methods to predict fluoride occurrence in groundwater has vast potential in data-scarce contexts such as Ghana. Hazard risk maps can help inform health policy targeted towards communities at high risk.