A supervised dictionary learning model with spatial and temporal constraints predicts methane, sulfate, and chloride in groundwater and yields interpretable source signatures in the Marcellus shale region.
Water resource impacts during unconventional shale gas development: The Pennsylvania experience
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Targeted Source Detection for Environmental Data
A supervised dictionary learning model with spatial and temporal constraints predicts methane, sulfate, and chloride in groundwater and yields interpretable source signatures in the Marcellus shale region.