The following pages link to Melinda L Erickson, PhD, PE (Q54737):
Displayed 36 items.
- Wastewater indicators, hormones, sterols, antibiotics, and pharmaceuticals in soil at an agricultural field irrigated with domestic septage, central Minnesota, September 2014 (Q57407) (← links)
- Pharmaceutical compounds in shallow groundwater in non-agricultural areas of Minnesota: study design, methods, and data, 2013 (Q59917) (← links)
- Contaminants of emerging concern in ambient groundwater in urbanized areas of Minnesota, 2009-12 (Q60214) (← links)
- Steroidal hormones and other endocrine active compounds in shallow groundwater in nonagricultural areas of Minnesota—Study design, methods, and data, 2009–10 (Q62413) (← links)
- Machine-learning predictions of high arsenic and high manganese at drinking water depths of the glacial aquifer system, northern continental United States (Q146021) (← links)
- Machine learning predicted redox conditions in the glacial aquifer system, northern continental United States (Q146330) (← links)
- Months-long spike in aqueous Arsenic following domestic well installation and disinfection: Short- and long-term drinking water quality implications (Q146394) (← links)
- Drinking water quality in the glacial aquifer system, northern USA (Q149311) (← links)
- Arsenic in Minnesota groundwater—Occurrence and relation to hydrogeologic and geochemical factors (Q228235) (← links)
- U.S. Geological Survey Identifies Crude-Oil Metabolites in Subsurface Plumes (Q230011) (← links)
- Ethanol-Containing Fuel Spills Enhanced Natural Trace Element Release from Sediments in an Experimental Setting (Q230047) (← links)
- Commonly Used Chemicals Measured in Minnesota Groundwater (Q230111) (← links)
- Arsenic in Minnesota Groundwater (Q230115) (← links)
- Arsenic cycling in hydrocarbon plumes: secondary effects of natural attenuation (Q237897) (← links)
- Crude oil metabolites in groundwater at two spill sites (Q238482) (← links)
- Solid-phase arsenic speciation in aquifer sediments: A micro-X-ray absorption spectroscopy approach for quantifying trace-level speciation (Q239946) (← links)
- Arsenic concentrations after drinking water well installation: Time-varying effects on arsenic mobilization (Q259384) (← links)
- Machine learning predictions of pH in the Glacial Aquifer System, Northern USA (Q270786) (← links)
- How or when samples are collected affects measured arsenic concentration in new drinking water wells (Q274567) (← links)
- Prioritizing water availability study settings to address geogenic contaminants and related societal factors (Q274695) (← links)
- Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA (Q278030) (← links)
- Predicting geogenic arsenic in drinking water wells in glacial aquifers, north-central USA: Accounting for depth-dependent features (Q279453) (← links)
- Concentrations of pharmaceuticals and other micropollutants in groundwater downgradient from large on-site wastewater discharges (Q281292) (← links)
- Stability of inorganic and methylated arsenic species in laboratory standards, surface water and groundwater under three different preservation regimes (Q295805) (← links)
- Ground water quality sub-indicator report (Q305418) (← links)
- Knowledge gaps and opportunities for understanding water-quality processes affecting water availability for beneficial uses (Q306614) (← links)
- Groundwater data, predictor variables, and rasters used for predicting the probability of high arsenic and high manganese in the Glacial Aquifer System, northern continental United States (Q324046) (← links)
- Data for depth of groundwater used for drinking-water supplies in the United States (Q324757) (← links)
- Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015 (Q325542) (← links)
- Nitrate and chloride groundwater quality data, selected well construction characteristics, and aquifer assignments for wells in the Great Lakes Watershed, United States (Q325892) (← links)
- Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States (Q328133) (← links)
- Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA (Q328658) (← links)
- Till geochemistry from rotosonic cores in Minnesota, USA (Q328905) (← links)
- Arsenic, manganese, and pH groundwater quality data, selected well construction characteristics, and aquifer assignments for wells in the conterminous U.S. (Q329000) (← links)
- Arsenic Speciation method performance data, species hold times data and supporting information (Q330836) (← links)
- Datasets of Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January 2017 through December 2019 (Q330898) (← links)