A Forecast of Groundwater Contamination Using Numerical Modeling Based on the Example of the Qibrai Area of the Chirchiq Deposit

This paper provides a forecast of the groundwater contamination based on the example of the Qibrai area of the Chirchiq deposit. Models for the forecasting of the groundwater contamination and the identification of geofiltration and geomigration processes were composed. Using these models, we established a correlation between the quality of the groundwater and surface waters and revealed that the exploration reserves of the Chirchiq deposit form due to artificial resources and attracted resources (subsurface waters from the Chirchiq River).

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Publication Details

Journal
Moscow University Geology Bulletin
Published
2024-10-01
DOI
https://doi.org/10.3103/s0145875224700601
Primary Topic
Geological Modeling and Analysis
Type
article
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article

A Forecast of Groundwater Contamination Using Numerical Modeling Based on the Example of the Qibrai Area of the Chirchiq Deposit

В. Н. Самарцев, M. A. Abdullaeva, T. D. Mirahmedov
Moscow University Geology Bulletin
Geological Modeling and Analysis
article

A Forecast of Groundwater Contamination Using Numerical Modeling Based on the Example of the Qibrai Area of the Chirchiq Deposit

В. Н. Самарцев, M. A. Abdullaeva, T. D. Mirahmedov
article en

Abstract

This paper provides a forecast of the groundwater contamination based on the example of the Qibrai area of the Chirchiq deposit. Models for the forecasting of the groundwater contamination and the identification of geofiltration and geomigration processes were composed. Using these models, we established a correlation between the quality of the groundwater and surface waters and revealed that the exploration reserves of the Chirchiq deposit form due to artificial resources and attracted resources (subsurface waters from the Chirchiq River).

Moscow University Geology BulletinVol. 79(5)
Lomonosov Moscow State University (RU), Inha University in Tashkent (UZ)
Clean water and sanitation
Openalex Percentile: Top 76%
Geological Modeling and Analysis
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