Evaluation of groundwater quality at Shahid dam site using statistical and geostatistical methods (south of Semirom city, Iran)

Evaluation of groundwater quality at Shahid dam site using statistical and geostatistical methods (south of Semirom city, Iran)

The quantity and quality of groundwater have been recently considered more than ever due to increased groundwater pollutants. This issue requires more attention, especially in areas where groundwater is the only available water for drinking and agriculture. Also, the quality of groundwater in the da...

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Bibliographic Details
Published in:International journal of environmental science and technology (Tehran) Vol. 20; no. 8; pp. 8457 - 8476
Main Authors: Rahimi Shahid, M., Kargaranbafghi, F., Ebadati, N., Rahnamarad, J.
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-08-2023
Subjects:
Aquatic Pollution
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Science and Engineering
Original Paper
Soil Science & Conservation
Waste Water Technology
Water Management
Water Pollution Control
Combination diagrams
Correlation
Hierarchical clustering analysis (HCA)
Zoning
Ion exchange
Semirom city
Principal component analysis (PCA)
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Summary:The quantity and quality of groundwater have been recently considered more than ever due to increased groundwater pollutants. This issue requires more attention, especially in areas where groundwater is the only available water for drinking and agriculture. Also, the quality of groundwater in the dam construction areas and the effect of the dam on the quality of such water can double the importance of the issue. Hence, the current study examined groundwater quality in the construction site of Shahid Dam in the south of Shahid village in Semirom County. The qualitative parameters investigated in the current study included Ca, Mg, Na, K, HCO3, SO4, Cl, TDS, and EC. The study used two statistical and geostatistical methods to examine the qualitative parameters of the groundwater of the dam construction site. Zoning maps of qualitative parameters were presented in the study area using the kriging estimation in the geostatistical method. The statistical method included examining ionic processes and ion exchange inverse, calculating combination diagrams, investigating AR, %Na, PI, and KR parameters, analyzing the relationship between EC and TDS, determining the correlation between parameters, principal component analysis (PCA), and hierarchical clustering analysis. Examination of various parameters shows that the quality of groundwater in the study area is suitable for agriculture. PCA classified the qualitative parameters of the groundwater in the region into three categories. Based on hierarchical clustering analysis, different types of groundwater are placed in three clusters.
ISSN:1735-1472
1735-2630
DOI:10.1007/s13762-023-05017-1