Spatial and temporal mapping of groundwater salinity using ordinary kriging and indicator kriging: The case of Bafra Plain, Turkey

Arslan H.

AGRICULTURAL WATER MANAGEMENT, cilt.113, ss.57-63, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 113
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.agwat.2012.06.015
  • Dergi Adı: AGRICULTURAL WATER MANAGEMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.57-63
  • Anahtar Kelimeler: Geostatistics, GIS, Semivariogram, Irrigated agriculture, SOIL PROPERTIES, VARIABILITY, REGION
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Groundwater salinity contributes significantly to soil salinization in irrigated areas. In this study, spatial and temporal analyses of groundwater salinity were performed based on data from 97 wells monitored over a 7-year period. ArcGIS Geostatistical Analyst was used in exploratory data analysis, semivariogram model selection, cross-validation and development of a groundwater salinity distribution pattern. Groundwater salinity semivariogram models varied by year and included exponential (2004, 2009), spherical (2005), J-Bessel (2006) and rational (2007, 2008, 2010) models. Ordinary Kriging (OK) was used to analyze spatial variability of groundwater salinity, whereas Indicator Kriging (IK) was used to analyze groundwater salinity in relation to pollution threshold values.