Big groundwater data sets reveal possible rare contamination amid otherwise improved water quality for some analytes in a region of Marcellus shale development

T Wen, X Niu, M Gonzales, G Zheng, Z Li… - … science & technology, 2018 - ACS Publications
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-
gas development are analyzed to assess spatial and temporal patterns of water quality …

Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng, Z Li… - Environmental Science …, 2018 - pure.psu.edu
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-
gas development are analyzed to assess spatial and temporal patterns of water quality …

Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng, Z Li… - Environmental …, 2018 - experts.syr.edu
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-
gas development are analyzed to assess spatial and temporal patterns of water quality …

Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng, Z Li… - … Science & Technology, 2018 - hero.epa.gov
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-
gas development are analyzed to assess spatial and temporal patterns of water quality …

[PDF][PDF] Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wena, X Niua, M Gonzalesa, G Zhengb, Z Lib… - pstorage-acs-6854636.s3 …
Water chemistry data were requested from Pennsylvania Department of Environmental
Protection (PA DEP) for Bradford County, PA, and were received in three batches (referred …

[引用][C] Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng… - Environmental …, 2018 - ui.adsabs.harvard.edu
Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved
Water Quality for Some Analytes in a Region of Marcellus Shale Development - NASA/ADS …

[PDF][PDF] Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng, Z Li, SL Brantley - academia.edu
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-
gas development are analyzed to assess spatial and temporal patterns of water quality …

[引用][C] Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng, Z Li… - … Science & Technology, 2018 - cir.nii.ac.jp
Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved
Water Quality for Some Analytes in a Region of Marcellus Shale Development | CiNii …

Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng… - Environmental …, 2018 - pubmed.ncbi.nlm.nih.gov
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-
gas development are analyzed to assess spatial and temporal patterns of water quality …

[PDF][PDF] Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale …

T Wen, X Niu, M Gonzales, G Zheng, Z Li, SL Brantley - jaywen.com
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-
gas development are analyzed to assess spatial and temporal patterns of water quality …