Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)

Journal of Hydrology

Volumn 405, Issue 1-2, 2011, Pages 123-136

  Ozdemir, Adnan ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

GIS; Groundwater potential; Logistic regression; Spring; The Sultan Mountains

Indexed keywords

BINARY LOGISTIC REGRESSION; DRAINAGE DENSITY; FAULT DENSITY; FIELD SURVEYS; GROUNDWATER EXPLORATION; GROUNDWATER SPRINGS; LAND USE/LAND COVER; LOGISTIC REGRESSION; LOGISTIC REGRESSION METHOD; LOGISTIC REGRESSIONS; OCCURRENCE AND DISTRIBUTION; POTENTIAL MAP; PREDICTOR VARIABLES; RELATIVE OPERATING CHARACTERISTICS; RELATIVE PERMEABILITY; SEDIMENT TRANSPORT CAPACITY INDICES; SPRING; STREAM POWER INDEX; STUDY AREAS; TEST DATA; THE SULTAN MOUNTAINS; TOTAL CURVATURE;

ANOXIC SEDIMENTS; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; GEOLOGY; GROUNDWATER; LANDFORMS; SEDIMENT TRANSPORT;

REGRESSION ANALYSIS;

ACCURACY ASSESSMENT; DRAINAGE; ENVIRONMENTAL FACTOR; GIS; GROUNDWATER; INDEX METHOD; LAND COVER; LAND USE; LOGISTICS; MAPPING METHOD; MATHEMATICAL ANALYSIS; NUMERICAL MODEL; PERMEABILITY; PRECIPITATION (CLIMATOLOGY); REGRESSION ANALYSIS; SEDIMENT TRANSPORT; SLOPE; SPRING (SEASON);

TURKEY;

EID: 79960012626     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.05.015     Document Type: Article

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