Next Article in Journal
Experimental Study of Cyclist’ Sensitivity When They Are Overtaken by a Motor Vehicle: A Pilot Study in a Street without Cycle Lanes
Next Article in Special Issue
Designing Iowa Agricultural Landscapes to Improve Environmental Co-Benefits of Bioenergy Production
Previous Article in Journal
Hydrogeochemical Mechanism Associated with Land Use Land Cover Indices Using Geospatial, Remote Sensing Techniques, and Health Risks Model
Previous Article in Special Issue
Field Experimental Study on the Infiltration and Clogging Processes at Aksu Research Site, Kazakhstan
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

MODFLOW and HYDRUS Modeling of Groundwater Supply Prospect Assessment for Distant Pastures in the Aksu River Middle Reaches

1
Department of Chemical Engineering, Ariel University, Ariel 40700, Israel
2
The Eastern R&D Center, Ariel University, Ariel 40700, Israel
3
Zonal Hydrogeological-Ameliorative Center, Ministry of Agriculture, Almaty 050018, Kazakhstan
4
Department of Hydrogeology and Engineering Geology, Satbayev University, Almaty 050000, Kazakhstan
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(24), 16783; https://doi.org/10.3390/su142416783
Submission received: 6 October 2022 / Revised: 29 November 2022 / Accepted: 11 December 2022 / Published: 14 December 2022

Abstract

As in many regions across the world, southeastern Kazakhstan is subjected to ongoing water-resource depletion. The livestock sector is already a major natural water resource consumer, with groundwater use becoming its water supply strategy. Remote pasture infrastructure development requires new water resources to allow pasture area circulation. The distant pastures in the middle reach of the Aksu River consist of three pastures, with a total area of 32,450 ha and a permissible number of 3245 livestock heads. The HYDRUS-1D water transport model and MODFLOW groundwater-flow model simulated complex water infrastructure prospect hydrogeological scenarios to allow the consumption of 302.4 m3 per day for livestock keeping on pasturelands. During pumping for livestock watering, projected production well drawdowns were quantitatively evaluated. The findings show that the projected pumping flow rate equals 288 m3/day during the water consumption season and 95 m3/day outside the water consumption season. While the production wells on pastures No. 2 and No. 3 can be considered reliable, on pasture No. 1, an additional production well is needed. To maintain the production wells’ drawdowns to less than 6 m, a projected pumping flow rate reduction to 216 m3/day and 70 m3/day, respectively, is required.
Keywords: groundwater supply; numerical model; controlled pastures; hydrogeology groundwater supply; numerical model; controlled pastures; hydrogeology

Share and Cite

MDPI and ACS Style

Mirlas, V.; Kulagin, V.; Ismagulova, A.; Anker, Y. MODFLOW and HYDRUS Modeling of Groundwater Supply Prospect Assessment for Distant Pastures in the Aksu River Middle Reaches. Sustainability 2022, 14, 16783. https://doi.org/10.3390/su142416783

AMA Style

Mirlas V, Kulagin V, Ismagulova A, Anker Y. MODFLOW and HYDRUS Modeling of Groundwater Supply Prospect Assessment for Distant Pastures in the Aksu River Middle Reaches. Sustainability. 2022; 14(24):16783. https://doi.org/10.3390/su142416783

Chicago/Turabian Style

Mirlas, Vladimir, Vitaly Kulagin, Aida Ismagulova, and Yaakov Anker. 2022. "MODFLOW and HYDRUS Modeling of Groundwater Supply Prospect Assessment for Distant Pastures in the Aksu River Middle Reaches" Sustainability 14, no. 24: 16783. https://doi.org/10.3390/su142416783

APA Style

Mirlas, V., Kulagin, V., Ismagulova, A., & Anker, Y. (2022). MODFLOW and HYDRUS Modeling of Groundwater Supply Prospect Assessment for Distant Pastures in the Aksu River Middle Reaches. Sustainability, 14(24), 16783. https://doi.org/10.3390/su142416783

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop