Extreme Precipitation, Public Health Emergencies, and Safe Drinking Water in the USA
Autor: | David E. Harvey, Seth D. Guikema, Kellogg J. Schwab, Thomas Ying-Jeh Chen, Natalie G. Exum, Elin Betanzo |
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Rok vydání: | 2018 |
Předmět: |
medicine.medical_specialty
Public water system Health Toxicology and Mutagenesis Vulnerability Water supply 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences 03 medical and health sciences 0302 clinical medicine Water Supply Water Quality medicine Humans 030212 general & internal medicine Natural disaster Weather Environmental planning 0105 earth and related environmental sciences Nature and Landscape Conservation business.industry Drinking Water Public health Safe Drinking Water Act Flooding (psychology) Public Health Environmental and Occupational Health United States Public Health Business Water quality Emergencies |
Zdroj: | Current Environmental Health Reports. 5:305-315 |
ISSN: | 2196-5412 |
DOI: | 10.1007/s40572-018-0200-5 |
Popis: | This review examines the effectiveness of drinking water regulations to inform public health during extreme precipitation events. This paper estimates the vulnerability of specific populations to flooding in their public water system, reviews the literature linking precipitation to waterborne outbreaks, examines the role that Safe Drinking Water Act and Public Notification (PN) Rule have in public health emergencies, and reviews the effectiveness of the PN Rule during the 2017 Hurricane Maria in Puerto Rico. Public water systems in large metropolitan areas have substantial portions of their customer base at risk for a waterborne outbreak during a flooding event. The PN Rule are ambiguous for who is responsible for declaring a “waterborne emergency” following a natural disaster like Hurricane Maria. Revisions to the current PN Rule that mandate public notification and water quality sampling during extreme precipitation events are necessary to ensure the public is aware of their drinking water quality following these events. |
Databáze: | OpenAIRE |
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