Machine learning and hurdle models for improving regional predictions of stream water acid neutralizing capacity

Water Resources Research

Volumn 49, Issue 6, 2013, Pages 3531-3546

  Povak, Nicholas A ^a   Hessburg, Paul F ^a   Reynolds, Keith M ^b   Sullivan, Timothy J ^c   McDonnell, Todd C ^c   Salter, R Brion ^a  

^a PACIFIC NORTHWEST RESEARCH STATION   (United States)

^b PACIFIC NORTHWEST RESEARCH STATION   (United States)

^c E and S Environmental Chemistry Inc   (United States)

Author keywords

Acid neutralizing capacity; ANC; imbalanced data; machine learning; stream water acidification; sulfur deposition

Indexed keywords

DATA STREAMS; DEPOSITION; FORECASTING; LEARNING SYSTEMS; MACHINE LEARNING; PREDICTIVE ANALYTICS; REGRESSION ANALYSIS; STRUCTURAL GEOLOGY; TOPOGRAPHY; WATER POLLUTION; WATER QUALITY;

ACID NEUTRALIZING CAPACITY; AIR POLLUTION SOURCES; IMBALANCED DATA; SOUTHERN APPALACHIAN MOUNTAINS; STREAM WATER; STREAM WATER QUALITY; STREAMWATER CHEMISTRY; SULFUR DEPOSITIONS;

RIVERS;

ACIDIFICATION; ATMOSPHERIC DEPOSITION; BIOTA; LITHOLOGY; MACHINERY; NUMERICAL MODEL; POLLUTANT SOURCE; PREDICTION; STREAMWATER; WATER POLLUTION; WATER QUALITY;

APPALACHIANS;

EID: 84881070666     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/wrcr.20308     Document Type: Article

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