Prediction of groundwater drawdown and quality at Kyzylzharma well field in the arid Syr Darya Basin, Kazakhstan
Absametov, Malis ; Murtazin, Yermek ; Ospanov, Kairat ; Rakhimova, Valentina and Berndtsson, Ronny LU
(2024)
In Cogent Engineering
11(1).
- Abstract
The geologically complex Kyzylzharma groundwater field is located in the south-central part of Kazakhstan in the lower Syr Darya Basin. It supplies the 243,000 population of Kyzylorda City by drinking and agricultural water needs. Numerical modeling was used to predict the consequences of increased groundwater withdrawal for future water supply needs. The results displayed a mean squared error for the groundwater simulations of about 0.6 m and was thus acceptable. The validated transmissivity was between 2 × 10−7 and 2 × 10−5 m/d. These parameters showed that the planned groundwater withdrawal will result in a depression cone reaching 90–100 m below present levels in 2040. Maximum groundwater level drawdown may... (More)
The geologically complex Kyzylzharma groundwater field is located in the south-central part of Kazakhstan in the lower Syr Darya Basin. It supplies the 243,000 population of Kyzylorda City by drinking and agricultural water needs. Numerical modeling was used to predict the consequences of increased groundwater withdrawal for future water supply needs. The results displayed a mean squared error for the groundwater simulations of about 0.6 m and was thus acceptable. The validated transmissivity was between 2 × 10−7 and 2 × 10−5 m/d. These parameters showed that the planned groundwater withdrawal will result in a depression cone reaching 90–100 m below present levels in 2040. Maximum groundwater level drawdown may reach 130 m below present levels. This drawdown increases risks for brackish saltwater intrusion into the main groundwater aquifer. The results point at the depletion of groundwater resources in the Syr Daria Artesian Basin and the risks for groundwater quality, particularly increase in mineralization. The key outcome is the recognition that effective joint management of the Syr Daria Artesian Basin’s groundwater resources, involving both Kazakhstan and Uzbekistan, necessitates development and operation of a joint numerical aquifer model. Building this model is a crucial tool for assessing the sustainable groundwater resources in the region.
(Less)
- author
- Absametov, Malis
; Murtazin, Yermek
; Ospanov, Kairat
; Rakhimova, Valentina
and Berndtsson, Ronny
LU
- organization
- publishing date
- 2024
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Agriculture & Environmental Sciences; Earth Sciences; Civil, Environmental and Geotechnical Engineering, Sanjay Kumar Shukla, Edith Cowan University, Australia, Sustainable groundwater, Syr Darya Artesian Basin, transboundary groundwater, Uzbekistan
- in
- Cogent Engineering
- volume
- 11
- issue
- 1
- article number
- 2307194
- pages
- 19 pages
- publisher
- Cogent OA
- external identifiers
-
- scopus:85183674771
- ISSN
- 2331-1916
- DOI
- 10.1080/23311916.2024.2307194
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: We appreciate the support of the Ministry of Science and Higher Education of the Republic of Kazakhstan. Funding Information: This research was funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. BR10965134 ‘Assessment of fresh groundwater resources as the main source and long-term reserve of sustainable drinking water supply for the population of the Republic of Kazakhstan’). We appreciate the support of the Ministry of Science and Higher Education of the Republic of Kazakhstan. Publisher Copyright: © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
- id
- 1f3110fb-7a36-413c-87d3-76e36ba0c72a
- date added to LUP
- 2024-02-11 23:54:08
- date last changed
- 2024-02-13 12:45:44
@article{1f3110fb-7a36-413c-87d3-76e36ba0c72a,
abstract = {{<p>The geologically complex Kyzylzharma groundwater field is located in the south-central part of Kazakhstan in the lower Syr Darya Basin. It supplies the 243,000 population of Kyzylorda City by drinking and agricultural water needs. Numerical modeling was used to predict the consequences of increased groundwater withdrawal for future water supply needs. The results displayed a mean squared error for the groundwater simulations of about 0.6 m and was thus acceptable. The validated transmissivity was between 2 × 10<sup>−7</sup> and 2 × 10<sup>−5</sup> m/d. These parameters showed that the planned groundwater withdrawal will result in a depression cone reaching 90–100 m below present levels in 2040. Maximum groundwater level drawdown may reach 130 m below present levels. This drawdown increases risks for brackish saltwater intrusion into the main groundwater aquifer. The results point at the depletion of groundwater resources in the Syr Daria Artesian Basin and the risks for groundwater quality, particularly increase in mineralization. The key outcome is the recognition that effective joint management of the Syr Daria Artesian Basin’s groundwater resources, involving both Kazakhstan and Uzbekistan, necessitates development and operation of a joint numerical aquifer model. Building this model is a crucial tool for assessing the sustainable groundwater resources in the region.</p>}},
author = {{Absametov, Malis and Murtazin, Yermek and Ospanov, Kairat and Rakhimova, Valentina and Berndtsson, Ronny}},
issn = {{2331-1916}},
keywords = {{Agriculture & Environmental Sciences; Earth Sciences; Civil, Environmental and Geotechnical Engineering; Sanjay Kumar Shukla, Edith Cowan University, Australia; Sustainable groundwater; Syr Darya Artesian Basin; transboundary groundwater; Uzbekistan}},
language = {{eng}},
number = {{1}},
publisher = {{Cogent OA}},
series = {{Cogent Engineering}},
title = {{Prediction of groundwater drawdown and quality at Kyzylzharma well field in the arid Syr Darya Basin, Kazakhstan}},
url = {{http://dx.doi.org/10.1080/23311916.2024.2307194}},
doi = {{10.1080/23311916.2024.2307194}},
volume = {{11}},
year = {{2024}},
}