Groundwater contamination forecast using numerical modeling (on example of Qibray site of Chirchiq watershed)

The article presents a forecast of groundwater pollution on the example of the Kibray site of the Chirchik field. Models were developed to predict the entry of pollution into groundwater and to identify flow and transport processes. With the help of these models, the relationship between the quality of groundwater and surface water was established and it was revealed that the formation of operational reserves of the Chirchik field occurs due to artificial resources and attracted resources (surface water from the Chirchik riverbed).

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Publication Details

Journal
Moscow University Bulletin Series 4 Geology
Published
2024-10-04
DOI
https://doi.org/10.55959/msu0579-9406-4-2024-63-4-45-51
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Groundwater contamination forecast using numerical modeling (on example of Qibray site of Chirchiq watershed)

В. Н. Самарцев, M. A. Abdullaeva, T. D. Mirahmedov
Moscow University Bulletin Series 4 Geology
Geological Modeling and Analysis
article

Groundwater contamination forecast using numerical modeling (on example of Qibray site of Chirchiq watershed)

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

Abstract

The article presents a forecast of groundwater pollution on the example of the Kibray site of the Chirchik field. Models were developed to predict the entry of pollution into groundwater and to identify flow and transport processes. With the help of these models, the relationship between the quality of groundwater and surface water was established and it was revealed that the formation of operational reserves of the Chirchik field occurs due to artificial resources and attracted resources (surface water from the Chirchik riverbed).

Moscow University Bulletin Series 4 Geology(№4 (2024))
Lomonosov Moscow State University (RU), Moscow State University (TJ), National University of Uzbekistan (UZ)
Openalex Percentile: Top 83%
Geological Modeling and Analysis
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