A geospatial and binomial logistic regression model to prioritize sampling for per‐ and polyfluorinated alkyl substances in public water systems-Reference-Cited by-同舟云学术

A geospatial and binomial logistic regression model to prioritize sampling for per‐ and polyfluorinated alkyl substances in public water systems

Published:2022-05-05 Issue:1 Volume:19 Page:163-174
ISSN:1551-3777
Container-title:Integrated Environmental Assessment and Management
language:en
Short-container-title:Integr Envir Assess & Manag

Author:

Ojha Sweta¹²,Li Ying¹²,Rezaei Nader¹²,Robinson Ariel¹²,Hoover Anna¹³,Pennell Kelly G.¹²

Affiliation:

1. Department of Civil Engineering, College of Engineering University of Kentucky Lexington Kentucky USA

2. University of Kentucky Superfund Research Center (UKSRC) Louisville Kentucky USA

3. Department of Preventive Medicine and Environmental Health, College of Public Health University of Kentucky Lexington Kentucky USA

Funder

U.S. National Library of Medicine

National Science Foundation

National Institute of Environmental Health Sciences

Publisher

Wiley

Subject

General Environmental Science,General Medicine,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ieam.4614

Reference70 articles.

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3. Best practices for conceptual modelling in environmental planning and management

4. Screening Level Risk Assessment Model for Chemical Fate and Effects in the Environment

5. A review of contamination of surface-, ground-, and drinking water in Sweden by perfluoroalkyl and polyfluoroalkyl substances (PFASs)

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