Using SWAT, Bacteroidales microbial source tracking markers, and fecal indicator bacteria to predict waterborne pathogen occurrence in an agricultural watershed.

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第一作者： Steven K,Frey

第一单位： Agriculture and Agri-Food Canada, Central Experimental Farm, Ottawa, Ontario, Canada K1A 0C6. Electronic address: Steven.Frey@agr.gc.ca.

作者： Steven K,Frey ^[1] ; Edward,Topp ; Thomas,Edge ; Claudia,Fall ; Victor,Gannon ; Cassandra,Jokinen ; Romain,Marti ; Norman,Neumann ; Norma,Ruecker ; Graham,Wilkes ; David R,Lapen

作者单位： Agriculture and Agri-Food Canada, Central Experimental Farm, Ottawa, Ontario, Canada K1A 0C6. Electronic address: Steven.Frey@agr.gc.ca. ^[1]

关键词 Agricultural watershed water quality Bacteroidales MST Microbial source tracking SWAT Soil and water assessment tool Water borne pathogen prediction Water quality Watershed modelling

主题词农业(Agriculture);细菌(Bacteria);环境监测(Environmental Monitoring);粪便(Feces);淡水(Fresh Water);模型, 理论(Models, Theoretical);水微生物学(Water Microbiology);给水(Water Supply)

DOI 10.1016/j.watres.2013.08.010

PMID 24079968

发布时间 2013-10-14

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Water research

2013年47卷16期

6326-37页

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Using SWAT, Bacteroidales microbial source tracking markers, and fecal indicator bacteria to predict waterborne pathogen occurrence in an agricultural watershed.

Water research

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Water research

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Using SWAT, Bacteroidales microbial source tracking markers, and fecal indicator bacteria to predict waterborne pathogen occurrence in an agricultural watershed.

Water research

相似文献

Water research

相关期刊

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