Assessment of a Multi-Layer Aquifer Vulnerability Using a Multi-Parameter Decision-Making Method in Mosha Plain, Iran

Publication date

2022-11-01

Authors

Nikpeyman, Yaser
Nikpeyman, VahidISNI 0000000512565292
Derakhshani, RezaORCID 0000-0001-7499-4384ISNI 0000000512522591
Raoof, AmirISNI 0000000393905724

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Advisors

Supervisors

Document Type

Article
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cc_by

Abstract

In recent decades, there has been a growing emphasis on assessing aquifer vulnerability. Given the availability of spatial data and the GIS advantages, mapping the groundwater vulnerability has become a common tool for protecting and managing groundwater resources. Here, we applied the GIS indexing and an overlay method to explore a combination of the potential contamination factors needed to assess groundwater vulnerability in the Mosha aquifer. The data from a borehole data logger and chemical analysis of spring water show groundwater responses to the surface contaminating sources. To assess the aquifer vulnerability, the potential contaminating sources were classified into three groups, namely (1) geological characteristics such as lithology and structural geology features; (2) the infrastructures induced by human activities such as roads, water wells, and pit latrines; and (3) land use. By considering these components, the risk maps were produced. Our findings indicate that the aquifer is very responsive to the anthropogenic contaminants that may leak into the aquifer from urbanized areas. Additionally, roads and pit latrines can significantly release pollutants into the environment that may eventually leak into the aquifer and contaminate the underlying groundwater resources.

Keywords

road defrosting, groundwater vulnerability, risk map, fault zone, Mosha Plain, Iran, SDG 15 - Life on Land

Citation

Nikpeyman, Y, Nikpeyman, V, Derakhshani, R & Raoof, A 2022, 'Assessment of a Multi-Layer Aquifer Vulnerability Using a Multi-Parameter Decision-Making Method in Mosha Plain, Iran', Water, vol. 14, no. 21, 3397, pp. 1-15. https://doi.org/10.3390/w14213397