Výsledky vyhledávání - "Melinda L. Erickson"

Akademický článek

Concentrations of pharmaceuticals and other micropollutants in groundwater downgradient from large on-site wastewater discharges.

Autor: Sarah M Elliott, Melinda L Erickson, Aliesha L Krall, Byron A Adams

Publikováno v: PLoS ONE, Vol 13, Iss 11, p e0206004 (2018)

Large subsurface treatment systems (LSTS) and rapid infiltration basins (RIB) are preferred onsite wastewater treatments compared to direct discharge of treated wastewater to streams and adjacent facilities. Discharge of these wastewater treatments m

Externí odkaz: https://doaj.org/article/9451f38dfa3a4b3695fee85cfe1689fc

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Machine-Learning Predictions of High Arsenic and High Manganese at Drinking Water Depths of the Glacial Aquifer System, Northern Continental United States

Autor: Katherine Marie Ransom, Melinda L. Erickson, Charles A. Cravotta, Craig J. Brown, James E. Reddy, Sarah M. Elliott, Paul E. Stackelberg

Publikováno v: Environmental Science & Technology. 55:5791-5805

Globally, over 200 million people are chronically exposed to arsenic (As) and/or manganese (Mn) from drinking water. We used machine-learning (ML) boosted regression tree (BRT) models to predict high As (>10 μg/L) and Mn (>300 μg/L) in groundwater

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c1c1ea027f5dd04e1db178193e53977
https://doi.org/10.1021/acs.est.0c06740

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Arsenic concentrations after drinking water well installation: Time-varying effects on arsenic mobilization

Autor: Joseph D. Ayotte, Melinda L. Erickson, Emily Berquist, Helen F. Malenda

Publikováno v: Science of The Total Environment. 678:681-691

Chronic exposure to geogenic arsenic via drinking water is a worldwide health concern. However, effects of well installation and operation on arsenic concentrations and mobilization are not well understood. This knowledge gap impacts both reliable de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dcb6c883cd4b1954f2fe416e6f89358
https://doi.org/10.1016/j.scitotenv.2019.04.362

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Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USA

Autor: Sarah M. Elliott, Kenneth Belitz, Craig J. Brown, James E. Reddy, Katherine Marie Ransom, Paul E. Stackelberg, Melinda L. Erickson, Leon J. Kauffman

Publikováno v: Ground Water

A boosted regression tree model was developed to predict pH conditions in three dimensions throughout the glacial aquifer system of the contiguous United States using pH measurements in samples from 18,386 wells and predictor variables that represent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0bc1b5faad15a02d05d63908531d955
https://pubmed.ncbi.nlm.nih.gov/33314084

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Months-long spike in aqueous arsenic following domestic well installation and disinfection: Short- and long-term drinking water quality implications

Autor: Jeff R. Havig, Melinda L. Erickson, Brady A. Ziegler, Elizabeth D. Swanner

Publikováno v: Journal of hazardous materials. 414

Exposure to high concentration geogenic arsenic via groundwater is a worldwide health concern. Well installation introduces oxic drilling fluids and hypochlorite (a strong oxidant) for disinfection, thus inducing geochemical disequilibrium. Well inst

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59a4541e602bb1f84e97587d5e2c31de
https://pubmed.ncbi.nlm.nih.gov/33677323

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