Classification of aquifer vulnerability using K-means cluster analysis

Journal of Hydrology

Volumn 549, Issue , 2017, Pages 27-37

  Javadi, S ^a   Hashemy, S M ^a   Mohammadi, K ^b   Howard, K W F ^c   Neshat, A ^d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b Orbit Engineering Limited   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Clustering; Data mining; DRASTIC; Groundwater; Vulnerability assessment

Indexed keywords

AQUIFERS; CHLORINE COMPOUNDS; CLUSTER ANALYSIS; CORRELATION METHODS; DATA MINING; GROUNDWATER; GROUNDWATER RESOURCES; HYDRAULIC CONDUCTIVITY; NITRATES; POTABLE WATER; RECHARGING (UNDERGROUND WATERS); WATER POLLUTION; WATER QUALITY;

ARID AND SEMI-ARID REGIONS; CLUSTERING; DRASTIC; K-MEANS CLUSTER ANALYSIS; PEARSON CORRELATION COEFFICIENTS; PHYSICAL CHARACTERISTICS; VULNERABILITY ASSESSMENTS; WATER QUALITY PARAMETERS;

GROUNDWATER POLLUTION;

AQUIFER; AQUIFER POLLUTION; ASSESSMENT METHOD; CLUSTER ANALYSIS; DATA MINING; DRINKING WATER; GROUNDWATER; HYDRAULIC CONDUCTIVITY; RECHARGE; SEMIARID REGION; VADOSE ZONE; VULNERABILITY; WATER QUALITY;

IRAN;

EID: 85016731603     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2017.03.060     Document Type: Article

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