Beck DeYoung | Union College, Schenectady (original) (raw)
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Contamination of groundwater with naturally occurring arsenic (As) poses a health risk to million... more Contamination of groundwater with naturally occurring arsenic (As) poses a health risk to millions of American and tens of millions of people worldwide. It is important to identify and predict where contamination is occurring as more than two billion people rely on groundwater as their source of drinking water. Long term exposure to high levels of As has been linked to a range of diseases and an increase in mortality rate. Similarly, long term exposure to manganese (Mn) in drinking water impairs cognitive function in children and is associated with problems afflicting memory, attention, and motor skills. A crucial limitation to the current literature is the inability to predict groundwater As or Mn levels at the scales required to make sound decisions on where to site groundwater wells. Previous studies have identified processes of As and Mn release at individual sites, but lack the transferability to the global scale. To address these issues, I synthesized a database of groundwater...
AGU Fall Meeting Abstracts, Dec 1, 2020
Compilation of groundwater geochemistry data from compiled references and sediment classification... more Compilation of groundwater geochemistry data from compiled references and sediment classification from Nghiem et al. 2020 across South and Southeast Asia. The folder contains a Readme.txt file that describes the data and the data sources. This data was compiled as part of the Characterizing Global Variability in Groundwater Arsenic Working Group supported by the John Wesley Powell Center for Analysis and Synthesis, funded by the U.S. Geological Survey. Supplementary data to Nghiem et al. 2020, "Aquifer-scale Observations of Iron Redox Transformations in Arsenic-Impacted Environments to Predict Future Contamination", Environmental Science & Technology Letters, DOI: 10.1021/acs.estlett.0c00672
Supporting data for "Surface Flooding as a Key Driver of Groundwater Arsenic Contamination i... more Supporting data for "Surface Flooding as a Key Driver of Groundwater Arsenic Contamination in Southeast Asia" (ES&T, 10.1021/acs.est.1c05955)<br>User Information:Read me file (read_me.txt)RMarkdown html file (r_markdown.html)RMarkdown Rmd file (r_markdown.Rmd)<br>Datasets:Data to generate results and analysis (input_dataset.csv)Model output data table (output_dataset.csv)<br>30 m-resolution groundwater arsenic prediction maps:Concentrations (output_data_concentration_30m.tif)Probability > 10 ug/L (output_data_probability_10_30m.tif)Probability > 50 ug/L (output_data_probability_50_30m.tif)Probability > 100 ug/L (output_data_probability_100_30m.tif)<br>1 km-resolution groundwater arsenic prediction maps:Concentrations (output_data_concentration_1km.tif)Probability > 10 ug/L (output_data_probability_10_1km.tif)Probability > 50 ug/L (output_data_probability_50_1km.tif)Probability > 100 ug/L (output_data_probability_100_1km.tif)
Geological Society of America Abstracts with Programs
Environmental Science & Technology Letters
Iron oxides control the mobility of a host of contaminants in aquifer systems, and the microbial ... more Iron oxides control the mobility of a host of contaminants in aquifer systems, and the microbial reduction of iron oxides in the subsurface is linked to high levels of arsenic in groundwater that affects greater than 150 million people globally. Paired observations of groundwater and solid-phase aquifer composition are critical to understand spatial and temporal trends in contamination and effectively manage changing water resources, yet field-representative mineralogical data are sparse across redox gradients relevant to arsenic contamination. We characterize iron mineralogy using X-ray absorption spectroscopy across a natural gradient of groundwater arsenic contamination in Vietnam. Hierarchical cluster analysis classifies sediments into meaningful groups delineating weathering and redox changes, diagnostic of depositional history, in this first direct characterization of redox transformations in the field. Notably, these groupings reveal a signature of iron minerals undergoing ac...
Environmental Science & Technology Letters
Contamination of groundwater with naturally occurring arsenic (As) poses a health risk to million... more Contamination of groundwater with naturally occurring arsenic (As) poses a health risk to millions of American and tens of millions of people worldwide. It is important to identify and predict where contamination is occurring as more than two billion people rely on groundwater as their source of drinking water. Long term exposure to high levels of As has been linked to a range of diseases and an increase in mortality rate. Similarly, long term exposure to manganese (Mn) in drinking water impairs cognitive function in children and is associated with problems afflicting memory, attention, and motor skills. A crucial limitation to the current literature is the inability to predict groundwater As or Mn levels at the scales required to make sound decisions on where to site groundwater wells. Previous studies have identified processes of As and Mn release at individual sites, but lack the transferability to the global scale. To address these issues, I synthesized a database of groundwater...
AGU Fall Meeting Abstracts, Dec 1, 2020
Compilation of groundwater geochemistry data from compiled references and sediment classification... more Compilation of groundwater geochemistry data from compiled references and sediment classification from Nghiem et al. 2020 across South and Southeast Asia. The folder contains a Readme.txt file that describes the data and the data sources. This data was compiled as part of the Characterizing Global Variability in Groundwater Arsenic Working Group supported by the John Wesley Powell Center for Analysis and Synthesis, funded by the U.S. Geological Survey. Supplementary data to Nghiem et al. 2020, "Aquifer-scale Observations of Iron Redox Transformations in Arsenic-Impacted Environments to Predict Future Contamination", Environmental Science & Technology Letters, DOI: 10.1021/acs.estlett.0c00672
Supporting data for "Surface Flooding as a Key Driver of Groundwater Arsenic Contamination i... more Supporting data for "Surface Flooding as a Key Driver of Groundwater Arsenic Contamination in Southeast Asia" (ES&T, 10.1021/acs.est.1c05955)<br>User Information:Read me file (read_me.txt)RMarkdown html file (r_markdown.html)RMarkdown Rmd file (r_markdown.Rmd)<br>Datasets:Data to generate results and analysis (input_dataset.csv)Model output data table (output_dataset.csv)<br>30 m-resolution groundwater arsenic prediction maps:Concentrations (output_data_concentration_30m.tif)Probability > 10 ug/L (output_data_probability_10_30m.tif)Probability > 50 ug/L (output_data_probability_50_30m.tif)Probability > 100 ug/L (output_data_probability_100_30m.tif)<br>1 km-resolution groundwater arsenic prediction maps:Concentrations (output_data_concentration_1km.tif)Probability > 10 ug/L (output_data_probability_10_1km.tif)Probability > 50 ug/L (output_data_probability_50_1km.tif)Probability > 100 ug/L (output_data_probability_100_1km.tif)
Geological Society of America Abstracts with Programs
Environmental Science & Technology Letters
Iron oxides control the mobility of a host of contaminants in aquifer systems, and the microbial ... more Iron oxides control the mobility of a host of contaminants in aquifer systems, and the microbial reduction of iron oxides in the subsurface is linked to high levels of arsenic in groundwater that affects greater than 150 million people globally. Paired observations of groundwater and solid-phase aquifer composition are critical to understand spatial and temporal trends in contamination and effectively manage changing water resources, yet field-representative mineralogical data are sparse across redox gradients relevant to arsenic contamination. We characterize iron mineralogy using X-ray absorption spectroscopy across a natural gradient of groundwater arsenic contamination in Vietnam. Hierarchical cluster analysis classifies sediments into meaningful groups delineating weathering and redox changes, diagnostic of depositional history, in this first direct characterization of redox transformations in the field. Notably, these groupings reveal a signature of iron minerals undergoing ac...
Environmental Science & Technology Letters