Pages that link to "Item:Q49493"
From geokb
The following pages link to Paul Stackelberg (Q49493):
Displayed 40 items.
- Depth of groundwater used for drinking-water supplies in the United States (Q55928) (← links)
- Groundwater quality in the glacial aquifer system, United States (Q57869) (← links)
- Groundwater quality in the Cambrian-Ordovician aquifer system, midwestern United States (Q57870) (← links)
- Development and application of a regression equation for estimating the occurrence of atrazine in shallow ground water beneath agricultural areas of the United States (Q68543) (← links)
- Effects of land use and travel time on the distribution of nitrate in the Kirkwood-Cohansey aquifer system in southern New Jersey (Q73119) (← links)
- Water quality data for selected wells in the Coastal Plain of New Jersey, 1996-98 (Q74010) (← links)
- Comparison of nitrate, pesticides, and volatile organic compounds in samples from monitoring and public-supply wells, Kirkwood-Cohansey aquifer system, southern New Jersey (Q74410) (← links)
- Nitrate, volatile organic compounds, and pesticides in ground water — A summary of selected studies from New Jersey and Long Island, New York (Q76574) (← links)
- Presence and distribution of chlorinated organic compounds in streambed sediments, New Jersey (Q80994) (← links)
- Relation between land use and quality of shallow, intermediate, and deep ground water in Nassau and Suffolk counties, Long Island, New York (Q81261) (← links)
- National Water-Quality Assessment (NAWQA) Program, Long Island-New Jersey (LINJ) Coastal Drainages Study Unit (Q83462) (← links)
- Evaluation of the atmosphere as a source of volatile organic compounds in shallow groundwater (Q144831) (← links)
- Radium mobility and the age of groundwater in public-drinking-water supplies from the Cambrian-Ordovician aquifer system, north-central USA (Q145395) (← 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)
- Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression model (Q146325) (← links)
- Machine learning predicted redox conditions in the glacial aquifer system, northern continental United States (Q146330) (← links)
- Efficiency of conventional drinking-water-treatment processes in removal of pharmaceuticals and other organic compounds (Q146985) (← links)
- Persistence of pharmaceuticals and other organic compounds in chlorinated drinking water as a function of time (Q147086) (← links)
- Quality of groundwater used for public supply in the continental United States: A comprehensive assessment (Q150504) (← links)
- Frequently co‐occurring pesticides and volatile organic compounds in public supply and monitoring wells, southern New Jersey, USA (Q157714) (← links)
- Groundwater Quality Research (Q228318) (← links)
- Predicting Groundwater Quality in Unmonitored Areas (Q228349) (← links)
- Regression models for estimating concentrations of atrazine plus deethylatrazine in shallow groundwater in agricultural areas of the United States (Q245264) (← links)
- Response to comment on “Persistence of pharmaceutical compounds and other organic wastewater contaminants in a conventional drinking-water-treatment plant” (Q247030) (← links)
- Environmental tracer evidence for connection between shallow and bedrock aquifers and high intrinsic susceptibility to contamination of the conterminous U.S. glacial aquifer (Q253104) (← links)
- Machine learning predictions of nitrate in groundwater used for drinking supply in the conterminous United States (Q257304) (← links)
- Presence and distribution of chlorinated organic compounds in streambed sediments, New Jersey (Q261442) (← links)
- Machine learning predictions of pH in the Glacial Aquifer System, Northern USA (Q270786) (← links)
- Occurrence and geochemistry of lead-210 and polonium-210 radionuclides in public-drinking-water supplies from principal aquifers of the United States (Q272212) (← links)
- Predicting regional fluoride concentrations at public and domestic supply depths in basin-fill aquifers of the western United States using a random forest model (Q274163) (← links)
- Relation between road-salt application and increasing radium concentrations in a low-pH aquifer, southern New Jersey (Q299573) (← links)
- Salinity and total dissolved solids measurements for natural waters: An overview and a new salinity method based on specific conductance and water type (Q300053) (← links)
- Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees (Q302456) (← links)
- Gross alpha-particle activity and high 226Ra concentrations do not correspond with high 210Po in the Atlantic and Gulf Coastal Plain aquifers of the United States (Q304003) (← links)
- A spatial machine learning model developed from noisy data requires multiscale performance evaluation: Predicting depth to bedrock in the Delaware River Basin, USA (Q314379) (← links)
- Data for machine learning predictions of pH in the glacial aquifer system, northern USA (Q324048) (← links)
- Data for depth of groundwater used for drinking-water supplies in the United States (Q324757) (← links)
- Data Release for Evaluation of Six Methods for Correcting Bias in Estimates from Ensemble Tree Machine Learning Regression Models (Q329273) (← links)
- Data for Radium Mobility and the Age of Groundwater in Public-drinking-water Supplies from the Cambrian-Ordovician Aquifer System, North-Central USA (Q329776) (← links)
- Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States (Q331116) (← links)
