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Dergiler / Turkish Journal of Engineering / 2026 / Volume: 10 Issue: 3

An integrated data driven approach for spatiotemporal analysis of climate change environmental impacts on groundwater resource and aquifers quality

Hossein Ali Soltan(University of Tabriz)0009-0000-2372-7120
Bakhtiar Feizizadeh(Humboldt Univerity of Berlin)0000-0002-3367-2923
Abolfazl Ghanbari(University of Tabriz)0000-0002-0145-0279
Hassan Emamei(University of Tabriz)0009-0003-7091-983X
Sayfa
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Yayın Tarihi
2026-07-06
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

We concluded that the proposed integrated approach of using a multivariate statistical technique and spatial analysis is effective in determining the factors controlling groundwater quality.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Groundwater is one of the most essential natural resources for essential natural resources human survival, economic development, and ecosystem balance.
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Temel Bulgular & Veri:This hypersaline lake is located in the northwestern part of Iran and has been drying since 2005.
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Sonuç & Katkı:We concluded that the proposed integrated approach of using a multivariate statistical technique and spatial analysis is effective in determining the factors controlling groundwater quality.
🔬Tür:Research Article
📍Kapsam:2005 Verileri
⚙️Değişkenler:land use/cover change · aquifer degradation · groundwater extraction water quality index

Abstract

Groundwater is one of the most essential natural resources for essential natural resources human survival, economic development, and ecosystem balance. The primary objective of this study was to apply a GIS-based spatiotemporal assessment to determine the hydro-geochemical changes in the aquifers located in the east plain Urmia Lake. This hypersaline lake is located in the northwestern part of Iran and has been drying since 2005. We evaluated the hydro-geochemical data and factors contributing to aquifer pollution and quality variation in the aquifers in the vicinity of Urmia Lake from 2005 to 2025. Our proposed methodology was based on the analysis of 25 years of data from 900 deep and semi-deep wells using GIS-based spatial analysis, multivariate statistical analysis, and agglomerative hierarchical clustering. We developed a Water Quality Index (WQI) for a spatiotemporal assessment of aquifer status. In highlighted the value of the integration of Principal Component Analysis (PCA), WQI, and GIS to determine aquifer hydro-geochemical attributes. We found that the groundwater in the central part of the study area is unsuitable for potable supplies. Anthropogenic sources of contamination, such as chemical fertilizers, industrial waste, and untreated sewage water, may be the key factors causing excessive concentrations of contaminants affecting water quality. The PCA results showed that over 80% of the total variance could be attributed to two principal factors in most aquifers and three principal factors in two aquifers. We concluded that the proposed integrated approach of using a multivariate statistical technique and spatial analysis is effective in determining the factors controlling groundwater quality.

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Bu Makaleye Atıf Yap

Soltan, H. A., Feizizadeh, B., Ghanbari, A., Emamei, H. (2026). An integrated data driven approach for spatiotemporal analysis of climate change environmental impacts on groundwater resource and aquifers quality. Turkish Journal of Engineering, Volume: 10 Issue: 3. https://doi.org/10.31127/tuje.1946261

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