Numerical Groundwater Modeling for Sustainable Management of the Kabul Urban Aquifer

被引:2
作者
Nazari, Aref [1 ,2 ,3 ]
Zaryab, Abdulhalim [4 ]
Mikhailovich, Cherepansky Mikhail [2 ]
机构
[1] Minist Energy & Water, Kabul, Afghanistan
[2] Russian State Geol Prospecting Univ, Moscow, Russia
[3] HIGHLAND Groundwater Res Grp, Kabul, Afghanistan
[4] Kabul Polytech Univ, Kabul, Afghanistan
关键词
Groundwater modelling; Groundwater management; MODFLOW; Groundwater flow; Kabul; EXCHANGE;
D O I
10.1007/s40808-025-02435-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Groundwater is the primary source of water for drinking, agriculture, and industry in Kabul City. Understanding groundwater dynamics and predict future stresses on the groundwater system of Kabul aquifer is crucial for the effective and sustainable use, and management of the aquifer. A comprehensive dataset introduced to MODFLOW code using GMS interface was employed to simulate groundwater flow model in Kabul aquifer in steady state and transient conditions. The simulated groundwater flow shows that the main sources of water entering the aquifer are recharge from rivers, infiltration from precipitation, inflow from nearby aquifers, and return flow from pumping. Water mainly leaves the aquifer through pumping and by flowing into nearby aquifers. The simulated groundwater budget shows a negative balance (- 24.89 million m3 per year) between recharge and discharge in the plain. This study uses groundwater modeling to assess the aquifer system in the Kabul Plain with greater accuracy. The result of invers groundwater modeling shows that hydraulic conductivity ranges from 0.2 meters per day in low-permeability areas to 197.83 meters per day near rivers and the Logar aquifer. The aquifer is anisotropic, meaning its properties vary with direction, and the specific yield ranges from 0.33% to 34.99%. The results of calibrated model show that by 2035 the groundwater level will sharply decline under the present conditions across the plain. Analysis of the different scenarios indicates that with a 50% reduction in groundwater abstraction, the groundwater level will rise to 8.0 m by 2035 on average. Additionally, artificial recharge from surface water, including precipitation and riverbank infiltration, could increase the groundwater level by up to 5.7 meters by 2035. The findings present optimistic scenarios for the current and future sustainability of groundwater resources in Kabul Plain. The research establishes an essential realization of Kabul Plain' groundwater dynamics. This study provides strategic insights for effective groundwater resources management in response to current and future stresses on groundwater system.
引用
收藏
页数:17
相关论文
共 54 条
[1]  
Anderson MP, 2015, APPLIED GROUNDWATER MODELING: SIMULATION OF FLOW AND ADVECTIVE TRANSPORT, 2ND EDITION, P1
[2]  
AQUAVEO, 2024, AQUAVEO
[3]   Stochastic modelling and risk analysis of groundwater pollution using FORM coupled with automatic differentiation [J].
Baalousha, Husam ;
Koengeter, Eirgen .
ADVANCES IN WATER RESOURCES, 2006, 29 (12) :1815-1832
[4]  
Bindeman N.N., 1970, Assessment of exploitable reserves of groundwater, V2nd
[5]  
Bockh E, 1970, Report for Bundesanstalt fur Geowissenschaften und Rohstoffe unpublished
[6]  
Bohannon RG, 2010, U.S. Geological Survey Scientific Investigations Map 3137 7, pamphlet, 2 map
[7]  
Cherepansky MM., 2005, Theoretical foundations of hydrogeological forecasts of the influence of groundwater withdrawal on river flow
[8]  
Cherepansky MM, 2022, Basic principles for the assessment and use of groundwater resources, integrated use of groundwater
[9]   Application of an Integrated SWAT-MODFLOW Model to Evaluate Potential Impacts of Climate Change and Water Withdrawals on Groundwater-Surface Water Interactions in West-Central Alberta [J].
Chunn, David ;
Faramarzi, Monireh ;
Smerdon, Brian ;
Alessi, Daniel S. .
WATER, 2019, 11 (01)
[10]   Estimating River Conductance from Prior Information to Improve Surface-Subsurface Model Calibration [J].
Cousquer, Yohann ;
Pryet, Alexandre ;
Flipo, Nicolas ;
Delbart, Celestine ;
Dupuy, Alain .
GROUNDWATER, 2017, 55 (03) :408-418