ارزيابي آسيب پذيري و آلودگي آبخوان چادگان با استفاده از مدل مكسنت

Assessment of Pollution an‎d Vulnerability Of Chadegan Aquifers With Maxent Model

جغرافياي طبيعي

The present study aimed to assess the vulnerability of the Chadgan aquifer to contamination an‎d to identify the key factors influencing pollutant distribution. In this research, spatial data—including groundwater table depth, lan‎d use, slope, distance from pollution sources, an‎d hydrogeological characteristics such as soil type an‎d permeability—alongside qualitative an‎d quantitative groundwater data, were collected an‎d analyzed. To model an‎d map the aquifer vulnerability, the MaxEnt model was employed, which is suitable for predicting probability distributions an‎d identifying determining factors in groundwater vulnerability assessments. Modeling results indicated that approximately 30% of the study area falls within high to very high vulnerability classes, predominantly in regions with shallow water tables an‎d agricultural lan‎d use. Variable importance analysis revealed that water table depth, lan‎d use type, an‎d soil permeability play the most significant roles in determining vulnerability levels. Furthermore, groundwater quality assessment showed that nitrate concentrations in some locations exceed global permissible limits, highlighting the direct impact of agricultural an‎d human activities on groundwater contamination. The findings of this study can assist water resource managers an‎d environmental planners in identifying sensitive an‎d critical areas, prioritizing protective measures, an‎d developing sustainable management strategies. Moreover, the use of the MaxEnt model enables the prediction of potential future changes in aquifer vulnerability an‎d the design of optimized strategies for pollution mitigation.

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