Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies-Reference-Cited by-同舟云学术

Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies

Published:2021-03-17 Issue:8 Volume:55 Page:5012-5023
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Lombard Melissa A.¹^ORCID,Bryan Molly Scannell²,Jones Daniel K.³^ORCID,Bulka Catherine⁴,Bradley Paul M.⁵^ORCID,Backer Lorraine C.⁶,Focazio Michael J.⁷,Silverman Debra T.⁸,Toccalino Patricia⁹^ORCID,Argos Maria¹⁰,Gribble Matthew O.¹¹^ORCID,Ayotte Joseph D.¹^ORCID

Affiliation:

1. New England Water Science Center, U.S. Geological Survey, 331 Commerce Way, Pembroke, New Hampshire 03275, United States

2. Institute for Minority Health Research, University of Illinois at Chicago, 1819 W. Polk, Chicago, Illinois 60612, United States

3. Utah Water Science Center, U.S. Geological Survey, 2329 West Orton Circle, West Valley City, Utah 84119, United States

4. University of North Carolina, 135 Dauer Drive, Chapel Hill, North Carolina 27599, United States

5. South Atlantic Water Science Center, U.S. Geological Survey, Columbia, South Carolina 29210, United States

6. Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Highway NE, Chamblee, Georgia 30341, United States

7. Toxic Substances Hydrology Program, U.S. Geological Survey, 12201 Sunrise Valley Drive, Reston, Virginia 20192 United States

8. Occupational and Environmental Epidemiology Branch, National Cancer Institute, 9606 Medical Center Drive, Rockville, Maryland 20850, United States

9. Northwest-Pacific Islands Region, U.S. Geological Survey, 911 NE 11th Avenue, Portland, Oregon 97232, United States

10. School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Chicago, Illinois 60612, United States

11. Gangarosa Department of Environmental Health, Emory University, 1518 Clifton Road NE, Atlanta, Georgia 30322, United States

Funder

U.S. Geological Survey

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.0c05239

Reference110 articles.

1. The Broad Scope of Health Effects from Chronic Arsenic Exposure: Update on a Worldwide Public Health Problem

2. WHO, 2011, Guidelines for Drinking-water Quality, 4th edition; https://www.who.int/water_sanitation_health/water-quality/guidelines/chemicals/arsenic-fs-new.pdf.

3. Arsenic and human health: epidemiologic progress and public health implications

4. Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes

5. U.S. Environmental Protection Agency. National Primary Drinking Water Regulations. https://www.epa.gov/ground-water-and-drinking-water/national-primary-drinking-water-regulations (1/11/18).

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating Lithium Concentrations in Groundwater Used as Drinking Water for the Conterminous United States;Environmental Science & Technology;2024-01-02

2. Defining high confidence targets of differential CpG methylation in response to in utero arsenic exposure and implications for cancer risk;Toxicology and Applied Pharmacology;2024-01

3. Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars;Science of The Total Environment;2023-12

4. A new implementation of stacked generalisation approach for modelling arsenic concentration in multiple water sources;International Journal of Environmental Science and Technology;2023-11-26

5. Hydrogeochemical and sediment parameters improve predication accuracy of arsenic-prone groundwater in random forest machine-learning models;Science of The Total Environment;2023-11