Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

Yazarlar: Selma DEMER, Kerem HEPDENİZ

Konular:Mühendislik

DOI:10.28948/ngumuh.444786

Anahtar Kelimeler:Groundwater quality,Geographical information systems,Kriging,Semivariogram,Isparta

Özet: Groundwater quality is an important environmental factor that must be analyzed and managed depending on spatial distribution. The aim of this study was to provide an overview for assessing the groundwater quality of Isparta province center using Geographical Information System (GIS) and geostatistical algorithms. In this study calcium (Ca2+), magnesium (Mg2+), sodium (Na+), chloride (Cl-), nitrate (NO3-), electrical conductivity (EC) and temperature (T) parameters of waters were used. To reduce the skewness in the distributions of the groundwater chemical parameters, a data transformation process has been performed and it has been determined that the best semivariogram model based on the root mean square error (RMSE) changes for each water quality parameter. The normal kriging method has been applied to map the spatial distribution of groundwater chemistry. In terms of drinking water quality standards, all locations except for two locations have been found in accordance with the TS 266 (2005) criteria. High concentrations of NO3- in unsuitable locations (IC-3 and IC-8) were thought to be related to agricultural activities in the region. According to the spatial distribution prediction maps, EC, Ca2+ and Mg2+ concentrations of the waters in the region increase towards the northern part of the study area. Ca2+, Mg2+, Na+, EC and T parameters of the waters in the region have a strong spatial dependence whereas Cl- and NO3- parameters have medium spatial dependence.

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