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Article

Water Recharges Suitability in Kabul Aquifer System within the Upper Indus Basin

1
Department of Geography, British Columbia University, Vancouver, BC V6T 1Z4, Canada
2
Ushkonyr College of Water Resources, Ushkonyr 040928, Kazakhstan
3
Public Association Promotion of Regions’ Sustainable Development “Tugan olke”, Ushkonyr 040928, Kazakhstan
4
Department of Geosciences, Western Michigan University, Kalamazoo, MI 49008, USA
5
Department of Civil Engineering, Nazarbayev University, Nur Sultan 010000, Kazakhstan
6
Institute of Hydrogeology and Geoecology of Akhmedsafin, Satbayev University, Almaty 050010, Kazakhstan
7
Department of Engineering Geology and Hydrogeology, Faculty of Geology and Mines, Kabul Polytechnic University, Kabul 1005, Afghanistan
*
Author to whom correspondence should be addressed.
Water 2022, 14(15), 2390; https://doi.org/10.3390/w14152390
Submission received: 21 June 2022 / Revised: 27 July 2022 / Accepted: 29 July 2022 / Published: 2 August 2022

Abstract

:
Groundwater is the main source of water for drinking, household use, and irrigation in Kabul; however, the water table is dropping due to the excessive extraction over the past two decades. The groundwater restoration criteria selection mainly depends on the techniques used to recharge the aquifer. The design of infiltration basins, for example, requires different technical criteria than the installation of infiltration wells. The different set of parameters is relevant to water being infiltrated at the surface in comparison with water being injected into the aquifers. Restoration of the groundwater resources are complicated and expensive tasks. An inexpensive preliminary investigation of the potential recharge areas, especially in developing countries such as Afghanistan with its complex Upper Indus River Basin, can be reasonably explored. The present research aims to identify the potential recharge sites through employing GIS and Analytical Hierarchy Process (AHP) and combining remote sensing information with in situ and geospatial data obtained from related organizations in Afghanistan. These data sets were employed to document nine thematic layers which include slope, drainage density, rainfall, distance to fault, distance to river channel, lithology, and ground water table, land cover, and soil texture. All of the thematic layers were allocated and ranked, based on previous studies, and field surveys and extensive questionnaire surveys carried out with Afghan experts. Based on the collected and processed data output, the groundwater recharge values were determined. These recharge values were grouped into four classes assessing the suitability for recharge as very high (100%), high (63%), moderate (26%), and low (10%). The relative importance of the various geospatial layers was identified and shows that slope (19.2%) is the most important, and faults (3.8%) the least important. The selection of climatic characteristics and geological characteristics as the most important criteria in the artificial recharge of the aquifer are investigated in many regions with good access to data and opportunities for validation and verifications. However, in regions with limited data due to the complexities in collecting data in Afghanistan, proper researching with sufficient data is a challenge. The novelty of this research is the cross-disciplinary approach with incorporation of a compiled set of input data with the set of various criteria (nine criteria based on which layers are formed, including slope, drainage density, rainfall, distance to fault, distance to river channel, lithology, ground water table, land cover, and soil texture) and experts’ questionnaires. The AHP methodology expanded with the cross-disciplinary approach by adding the local experts´ questionnaires survey can be very handy in areas with limited access to data, to provide the preliminary investigations, and reduce expenses on the localized expensive and often dangerous field works.

1. Introduction

With the depletion of groundwater resources and substantial losses in surface water reservoirs through evaporation, the restoration of groundwater aquifers can be a strategy to enhance the sustainability of the groundwater resources in the Kabul Plain aquifer within the Upper Indus River Basin (UIRB) (Figure 1). Previous studies show a decreasing trend in groundwater levels and deteriorating groundwater quality [1,2,3,4,5,6,7,8,9,10,11,12]. Therefore, improved groundwater management is needed to ensure an adequate water supply to the expanding city. One of the most appropriate ways to enhance the condition of the aquifer is to use the managing aquifer recharge (MAR) technique, which is widely used for different regions [13,14,15,16,17,18]. Regional recharge studies in the Kabul aquifer have been limited to traditional approaches to groundwater and recharge exploration which only utilized drilling and geophysical methods in some small areas sporadically due to the expensive field work investigations and the regional complexity with confrontations and wars [19]. The traditional field geophysical works are costly, time-consuming, and can be deployed in only limited areas [20,21]. The RS techniques and GIS tools are helpful in investigations and provide the opportunity to prepare the first-order, preliminary estimates with less expense and avoid the complexities of field investigations in developing or war-torn countries [22,23]. The RS-GIS based methodologies with utilization of global datasets can be applied in many regions throughout the world, particularly in areas where in situ data is insufficient and accessibility is limited. The RS-GIS based models like DRASTIC (depth to water-table, recharge, aquifer media, soil media, topography, impact of the vadose zone, hydraulic conductivity) have been previously used in groundwater pollution risk assessment [24,25]. The support methodologies to identify potential recharge areas are in development, and include, for example, the frequency ratios method [26], logistic regression model techniques [27], random forest models [28], and artificial neural networks [27]. The RS-based methods allow quick and replicable coverage of entire regions, making it a useful tool for obtaining short-term spatiotemporal information from large areas [29,30]. GIS is able to effectively handle complicated spatial-temporal data and various datasets for the same geographical location [31]. Several researchers have used RS and GIS approaches for delineating potential sites and identifying artificial groundwater recharge areas [32,33,34,35,36,37]. Other methods are based on bivariate and multivariate statistical analysis with decision making in prioritization of the collected information [38,39]. The RS-GIS based techniques in combination with the AHP methodology have been increasingly popular to obtain spatial plans and resource allocations for addressing various water resource management issues in the last several decades [40]. Lack of access to reliable data and to financial resources often make large-scale geophysical exploratory surveys in the region impossible. The AHP has been employed as a well-organized technique to specify the groundwater potential sites in some other areas [41,42,43,44]. We expand applications of RS-GIS and AHP approaches to combine hydrogeological, geomorphological and climatic data to delineate sites for groundwater recharge potential in the UIRB area, Kabul aquifer system.
This study aims to develop a method using RS and GIS overlays and AHP techniques to delineate potential sites for groundwater recharge. Specific objectives include identifying potential locations for groundwater recharge and determining the relative importance of the various Geospatial attributes based on their impact on groundwater recharge.

2. Materials and Methods

2.1. The Study Area Description

The study area, the Kabul Plain, is located in the central part of Kabul province in Afghanistan, which lies at 69°24′37.38″ E to 69°9′16.50″ E longitude and 34°32′3.37″ N to 34°35′5.71″ N latitude, and which covers a total of 926.48 km2 within the UIRB (Figure 1). The relief of the study area is around 1600 m and ranges between 1695 m and 3311 m above sea level (a.s.l.). The study area is enclosed by mountain ranges which divide the catchment into two sub-basins in the NW-SE direction. The climate of the study area is categorized into arid and semi-arid with air temperature ranging from a mean monthly high in July of 32 °C to an average monthly low in January of −7 °C. Average annual precipitation and potential evapotranspiration rate is 330 mm/year and 1600 mm/year, respectively. There is no permanent river flows in the study area. However, surface water due to flooding during the cold seasons is the major source for groundwater recharging. Three rivers enter the Kabul city region: the north-flowing Kabul River and its two tributaries, the Paghman and the Logar rivers (Figure 1). The Kabul River ultimately flows eastward and enters Pakistan. Geologically, the fluvial and aeolian sedimentary rocks form a major part of the lithology of the study area. The results obtained from pumping tests conducted in the Kabul Plain were employed to validate the results of this study. The values of hydraulic conductivity are between 2 and 112 m per day [45].

2.2. Overall Methodology

To delineate a potential site for recharging the Kabul Plain aquifer, a set of GIS tools were employed. The applied methodology is presented in Figure 2, which involves the following major steps:
  • Identifying criteria and preparing thematic layers,
  • Ranking the thematic layers,
  • Weighting of the criteria (layers),
  • Analyzing the overlay,
  • Generating the suitability map

2.3. Identify Criteria and Preparation of Thematic Layers

Three main category datasets, which included RS, hydrometeorological, and conventional data were used to develop the map of suitable recharge sites. The data used include slope, distance from faults, land use, drainage network, soil texture, lithology, depth to groundwater table, distance from river, and precipitation amount. These datasets were gathered from the previous studies and followed the international guidelines in the identification of suitable recharge sites [46]. Each criterion was represented as a thematic layer created from satellite images, data from relevant sources, and conventional field data. The analysis of these data was completed employing QGIS 3.22.9.

2.3.1. Remote Sensing Data

Slope and drainage density data were obtained from Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) at 30-m resolution [47]. The slope and drainage density maps (Figure 3a,b) were prepared by using the spatial analyst tool of the QGIS tools. The land use map was extracted using the national land use map of Afghanistan (Figure 3c). The map was received in shape file format from the Afghanistan Ministry of Agriculture, Irrigation and Livestock (MAIL) [48]. The land use maps show that the land is mostly used as rangeland and crop lands (Figure 3c). Figure 3d shows the lineaments, adopted from the U.S. General Services (USGS) work in Afghanistan [49].

2.3.2. Conventional Data

The geology map was extracted from the Geologic and Mineral Resource Map of Afghanistan (scale: 1:250,000) (Figure 4a). The map was obtained in shape file format from the USGS [50]. The Kabul Plain is enclosed by mountain ranges and the Kabul Plain is filled with Quaternary and Neogene deposits (Figure 4) [51]. The mountain ranges mainly consist of a variety of metamorphic rocks and to some extent crystalline rocks [52].
The Kabul Plain is geologically composed of an accumulation of lacustrine and terrestrial deposits. The deposits in the Kabul Plain are categorized into Quaternary and Neogene deposits. The Quaternary deposits are composed of sand and gravel, and are deposited mainly in the river channels. The Neogene sediments consist mainly of clay, siltstones, marls, fine-grained sandstones, and conglomerate (Figure 5a) [53].
The soil texture layer map (Figure 5b) was extracted from the regional soil map of Afghanistan which was prepared by the U.S Department of Agriculture (USDA) [54]. The soil texture map shows five classifications. Included Class -1-Haplocambids with Torriorthents: This type of soil covers a large amount of low slope land of the central portion of the basin. Class -2 Rocky lands with Lithic Cryorthents: cover the eastern and northern parts of the study area in small amounts. Class -3 Rocky land with Lithic Haplocambids; Covers small part of central flat section of the study area. Class -4 Rocky lands with Lithic Haplocryids, Class -5 Xerochrepts with Xerorthents covers a small area of the Kabul Plain to the western.

2.3.3. Meteorological Data

Depth to the ground water-table is one of the primary variables for the groundwater recharge system. Water table data of 2017 were received from the hydrogeology department of the National Water Affair Regulation Authority of Afghanistan (NWARA), and Afghanite Geo Engineering Company (AGEC, Kabul, Afghanistan) [55] in digital format. The inverse distance weighting (IDW) approach was employed to interpolate these data for the whole study area. Figure 6a shows the groundwater depth map. Groundwater fluctuations are between 15 and 100 m. The average annual rainfall of the area’s three meteorological stations was used to prepare the rainfall thematic layer. The minimum and maximum of the rainfall amount are about 285 mm and 381 mm, respectively. These data are interpolated spatially using the IDW method for the whole study area. Figure 6b illustrates the rainfall distribution map of the study area. Rainfall decreases to the east (Figure 6). Flood water is considered one of the potential sources of water for the groundwater recharge projects, and floods occur on both sides of stream channels. Less distance indicates higher suitability. Figure 6c presents a map of major rivers. The measurements of rivers were received from the Ministry of Energy and Water of Afghanistan.

2.4. Ranking the Thematic Layers

The different scales on the datasets and the criteria were measured, unified, and converted into the comparable units. The thematic layers were unified with the sample category. The thematic layers were assorted into the classes, according to the groundwater occurrence and recharge approach taken by previous works [33] and recommendations. For each layer, higher values are dedicated to classes that are more important for locating groundwater recharge. The thematic maps, however, were prepared first and then were re-classed into five suitability classes (1–5) (Figure 7a–i).
Slope plays an important role in controlling runoff into the subsurface. The slope must be as gentle as possible to favor surface water infiltration. A significant amount of rainwater is commonly percolated in the flat terrain, whereas overflow will occur on steep slope areas. Thus, the slope of the study area is classified into five categories, namely 0–2°, 2.1–5°, 5.1–8°, 8.1–13°, and higher than 13°. Higher infiltration values were allocated to the flat and undulating areas (e.g., 0–2d = 5), whereas less value was assigned to the steep slope areas (Table 1).
Areas with high drainage density can receive excessive runoff and have high recharge potential. Therefore, areas with high drainage density were assigned a high recharge potential, as demonstrated in Figure 7b.
Land-use and land cover affect groundwater potential by affecting runoff, soil erosion, and evapotranspiration [56,57]. The study area contains vineyards, rock outcrops, bare soil, settlements, rangeland, cropland, and irrigated areas. Settlements have a negative consequence on water infiltration to the subsurface with surface coverage of different types of engineering constructions, pavements, and soil condensations. Settlements often restrict the infiltration of precipitation and affect the recharge of the groundwater. Agricultural land and rainfed lands pose high groundwater recharge potential. They have good vegetation cover. The infiltration capacity of soil depends on numerous factors such as moisture content, soil type, organic matter, and vegetative cover. The soil characteristics affecting infiltration and non-capillary porosity are probably the most significant. The porosity determines the storage capacity of soil and influences persistence to flow; thus, infiltration tends to increase with effective porosity. Vegetation cover increases infiltration in comparison with barren soil because (i) it retards surface flow giving the water additional time to percolate the soil; (ii) the root system makes the soil more pervious; and (iii) the foliage shields the soil from raindrop impact and decreases the rain packing of the surface soil. Similarly, other researchers noted that land covered with vegetation is an attractive site for groundwater investigation [21]. Geological features such as faults and lineaments induce secondary porosity and subsequently the permeability of rocks. Groundwater flow in the subsurface is facilitated by faults, fracture, and solution conduits below the land surface. There is a strong positive correlation between the geologic structure and rapid pathways for groundwater recharge and flow to the aquifers [58]. The lineament intersections in an area facilitate the infiltration of surface water to the subsurface. Therefore, areas away from the lineament have a lower potential for groundwater recharge. The type of rock and soil is the most important component for groundwater potential due to the infiltration process primarily depending on the permeability of particular types of rock [59,60]. Fan alluvium and colluvium, loess, conglomerate and sandstone, gabro and monzonite, gneiss, carbonates, siltstone, and ultramafic intrusions are the main geological formations found in the Kabul Basin as shown in Figure 5a. High weight is assigned for fan alluvium, conglomerate, and sandstone, because these formations are highly weathered and fractured. In contrast, low weights were given to ultramafic formations due to their low permeability. Soil is commonly categorized based on the drainage classes. The suburbs of the Kabul Plain are mainly overlayed with well-drained soil, particularly in rangeland. High weight is assigned to a well-drained area. The depth between 15 to 30 m in the water table is considered suitable for recharge. This is in line with artificial groundwater recharge schemes and the interaction between rechargeable water and the aquifer. Groundwater depth fluctuations are between 15 to 100 m. Within 15 to 30 m depth, the groundwater can be held in the targeted aquifer. At a depth of less than 15 m, the lateral drainage may move water downstream. Regarding the precipitation, due to limitations in snow-measuring data only rainfall data were used. Rainfall for the Kabul Plain was divided into five equal classes using GIS tools. The classification of rainfall ranges was completed by considering local precipitation [25,44,61]. In terms of rivers, the areas near them are more suitable to natural and artificial groundwater recharge. However, to prevent the flow of water from the recharged area back to the stream from a groundwater table mound caused by the recharge project, very short distances to surface water have lower values.
The artificial recharge to groundwater usually improves the sustainable yield of the aquifer in areas where over-exploitation has decreased the aquifer storage. The distance between 50 to 300 m from the river is considered very suitable for recharging projects if these natural linear structures are used for this purpose.

2.5. Determining Weights for the Criteria (Layers)

The weighting procedure was completed using the AHP method. The AHP matrix approach is suitable in cases of separating a large number of alternatives to a series of pairwise comparisons followed by synthesizing the results.
In order to identify suitable recharge sites, the AHP approach was applied in four steps: (1) the delineation of effective factors on groundwater recharge sites; (2) a pairwise comparison matrix; (3) estimating relative importance; and (4) calculating matrix consistency. The effective factors are nine thematic layers which include aquifer lithology, soil texture, drainage density, distance to fault, slope, land use, rainfall, distance to river, and depth to the groundwater table.
The relative significance of each variable on groundwater recharge is determined according to the employment of a nine-point scale, as illustrated in Table 2; a score of 1 is given for equal importance between the two factors, and a score of 9 is given for extreme importance of the row theme in comparison with the column factor. According to the number of input factors (reclassified maps of thematic layers) a pairwise comparison matrix, A (m2), is created. In this research, the pairwise comparison matrix procedure was applied. For pairwise comparison, the factor effects on each other were measured according to Saaty’s one-to-nine-point scale (Table 2).
In the matrix, the selection parameter pairs, and the assignment of pair weight were undertaken according to the interconnection between one factor and the others to affect recharge.
The target population consisted of ten people knowledgeable about Afghanistan’s water resources basin, including five experts from the Ministry of Energy and Water, three water resource management engineers of private Afghanistan geoscience companies, and two local people working on water issues in the study area. Ten people were asked to complete the questionnaire which sought information on the following criteria: slope, drainage density, rainfall, distance to fault, distance to river channel, lithology, ground water table, land cover, and soil texture.
For instance, the lithology/land use type pair was assigned 3 (moderate importance) because geological features play a crucial role in the occurrence and distribution of groundwater in any terrain and can recharge the aquifer directly [63]. A value of 1 was assigned to parameters of equal importance.
Table 3 shows a pairwise comparison matrix which was derived from Saaty’s nine-point importance scale.
The Consistency index (CI) is expressed as ratio of the difference between the principal eigenvalue (λmax) and the number of factors under study from the (n) to (n − 1) as follows:
C I = λ m a x n n 1
The CI for recharge parameters studied in Kabul Basin was achieved using an overlying method. The consistency index was 0.09, which is less than 1.

3. Results

Map of Groundwater Recharge Potential

The reclassified layers and their corresponding percentages influencing the recharge were integrated using the weighted overlay tool of QGIS tools and generated a spatial distribution map of groundwater recharge within the Kabul aquifer system (Figure 8).
The Equation (2) is applied to map of groundwater recharge as following;
G W R S M = 18.6 % × R R f + 13.7 % × R G m + 19.2 % × R S l + 11.2 % × R S t + 3.8 × R L d + 8.2 × R D d + 10.5 × R L u l c + 6.9 × R d r + 7.9 × R W f
where, RRf is a reclassified rainfall map, RGm is a reclassified geology map, RSl is a reclassified slope map, Rst is reclassified soil texture map, RLd is a reclassified fault distance map, RDd is a reclassified drainage density map, Rlulc is a reclassified land-use/land-cover map, Rdr is a reclassified distance to river map, and Rwf is a reclassified distance to groundwater level map.
The spatial distribution of recharge categories (Figure 8) displays that the very high to high areas for groundwater recharge are situated in the central and southern parts of the Kabul Plain, while most of the marginal parts were assigned as moderate to low.
Based on the map of suitable sites, 64% of the study area has high suitability for groundwater recharge (Figure 9). The suitable areas are situated in low altitude areas which are almost flat. These areas are covered by sedimentary units including two major geological formations: alluvium and colluvium fans, limestone, and sandstone. These formations are considered to have a high potential for the recharge process due to their specific characteristics including the porosity values and the nature of +. Twenty-six percent of the study area has moderate suitability and 10% has low suitability (Figure 9).
The mountains are the main part of these areas that are primarily composed of Paleoproterozoic gneiss and ultramafic rocks. The natural characteristics of these formations are not appropriate for groundwater recharge. Also, the suitable areas for groundwater recharge have residential development alongside the rivers.
A map of the groundwater recharge potential was created. The central and southern parts of the Kabul Plain are specified as very high to high potential sites which have rain-fed crops and croplands where the infiltration is high. The areas with the most potential for groundwater recharge that have been identified are: alluvial fans/sandstones/conglomerates, crop lands, and low/flat slope areas, areas near surface water, areas with higher precipitation, and proximity to faults. Based on the map of suitable sites, (Figure 9), 64% of the study area has high suitability for groundwater recharge.
Figure 10 denotes the weights of each layer in AHP. The slope (19.2%) and rainfall (18.6%) are the most important thematic layers and strongly influence the recharge process. Soil texture and land use are also important. The distance to fault (3.8%) layer is the least important.

4. Discussion

4.1. Delineation of Groundwater Potential Recharge Zones

The integration of RS data and the AHP method into the GIS environment to delineate the spatial distribution of recharge within a geographical area has been proven to be both practically and economically feasible [44]. According to the obtained weights of applied layers (Figure 10), recharge is controlled by several different factors. Suitable recharge sites (high and very high classes) correspond to outcrops of the Quaternary (Lataband series) and Tertiary (Kabul series) sediments (Section 2.3.2). These components are highly weathered and fractured. They have high porosity and permeability and they are suitable for recharge. Therefore, the outcrops of the Lataband and Kabul series were allocated a high recharge potential.
Regarding slope characteristics, which shows lithological resistance to weathering and erosion, a large portion of the area has a low slope. A low slope (<5°) can generally be observed in central parts of the Kabul Plain and in the foothills (Figure 3a). Flat to gentle slopes tend to spread overflows and produce considerable groundwater recharge in permeable areas. Therefore, these areas are considered appropriate for groundwater recharge. Higher slopes can be located at the flanks of the hill regions.
The precipitation availability is considered an essential source of groundwater recharge [64,65]. Therefore, rainfall has been assigned as the most significant factor in groundwater recharge after slope. Generally, total rainfall gradually increases with an increase in elevation in the study area from medium (328.5–333.1 mm/year) to high (333.1–337.6 mm/year) and very high (>337.7 mm/year). The eastern and the central part of the study area receives very low (<319.3 mm/year) to low (324–328.5 mm/year) rainfall (Figure 6b). Moving to the east, the rainfall values and groundwater potential decreases.
Areas with dense lineaments are usually considered suitable sites for groundwater recharge. Faults and lineaments also have good potential for recharging groundwater. Areas with a high recharge potential are in the central and southwest of the Kabul Plain aquifer, closer to fault and fracture areas. The aforementioned areas are characterized by the most permeable lithologic units, low to gentle slopes, high drainage density, and thick soil layers with high infiltration capacity, corresponding to reclassified thematic layers of high recharge potentials.

4.2. Validation

The distribution map of established extraction wells was in combination with the created map of the potential recharge areas; the well locations overlap these areas (Figure 11a). Most of the wells exist in the conglomerate, sandstone and loess. This lithology is well known for their high permeability. The central and southwestern regions are high recharge zones and coincide with six recharge sites (Figure 11b) which previously were identified using field work and groundwater investigation. The identified suitable recharge zones include: (1) southwest of the catchment where the Maidan River enters the study area; three zones of the six suitable recharge areas are located along the river; and (2) the alluvial fan situated in the central part of the plain where the Kabul and Maidan rivers connect. The areas with high values of hydraulic conductivity, k (m/day), are in the high recharge zones. In addition, the amount of hydraulic conductivity decreases toward the outlet of the basin. The high recharge zones are seen on conglomerate, sandstone and loess lithology in which the amounts of hydraulic conductivity are highest. Recharge rates fall in regions where lithology properties are confined by the ultramafic intrusions, gneiss and the gabbro and monzonite cover (Figure 11c).

5. Conclusions

The expansion and availability of RS and GIS datasets and tools significantly increase opportunities to study the natural environment within a reasonable time and financial expenses. AHP provides support in ranking and weighing the impact of various factors to determine recharge potentiality in the Kabul Plain aquifer. AHP allows for the deriving of the ratio scales from both discrete and continuous paired comparisons of recharge parameters. The present study showed that slope and rainfall are the most influential factors controlling groundwater recharge, followed by lithology in the study area, as confirmed by previous studies. The applied methodology can be used in less-studied regions around the world, particularly in areas where in situ data is inadequate and the accessibility is limited. One of the primary features of our methodology is the utilization of global datasets that are easily and freely available for most of the world’s land surface. The implemented methodologies are not a substitute for conventional methods that need extensive in situ datasets, but they could provide first-order estimates for identification of the groundwater recharge areas. The results of this study indicated that areas with a high recharge potential are located in the central and southwest of the Kabul Plain aquifer. The sustainability of water resources and availability are complicated issues worldwide and under stress in developing countries where we are faced with difficulties in providing the proper local research. Many countries have decreased their water resources dramatically and continue to deplete underground water. Underground water resources are not given proper investigation in regards to sustainability supply chains. At the same time, it is important to use groundwater efficiently, as recommended by the UN. Groundwater makes up 99% of all of Earth’s fresh water and requires appropriate attention [66]. Managed Aquifer Recharge (MAR) should work for maintaining the required groundwater sustainability, but is difficult to apply in some complicated regions worldwide, including many regions in Afghanistan and Central Asia. The AHP methodology expanded with the cross-disciplinary approach by adding the local experts’ questionnaires, which can be very handy in areas with limited access to data, in order to provide the preliminary investigations, reduce expenses and circumvent often dangerous fieldwork. We plan to continue our research in Afghanistan and Central Asia.

Author Contributions

Formal analysis, Q.M.; investigation, Q.M., J.S. and A.Z.; Methodology, Q.M., J.S. and A.Z.; resources, Q.M., A.Z., J.S. and M.A.; funding acquisition, J.S.; visualization, Q.M. and A.Z.; writing-review and editing, A.Z., Q.M., J.S. and M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors would like to thank the Afghanistan ministries and other related organizations for access to relevant data of the Kabul River Basin. We would like to thank the anonymous peer reviewers for the valuable and constructive suggestions that improved our manuscript. We would like to express our deep gratitude to Joe Meyers for the language improvements, professional academic editing.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Akbari, M.A.; Tahir, M.; Litke, D.W.; Chornack, M.P. Ground-Water Levels in the Kabul Basin, Afghanistan, 2004–2007; The U.S. Geological Survey: Kabul, Afghanistan, 2007.
  2. Farahmand, A.; Hussaini, M.S.; Zaryab, A.; Aqili, S.W. Evaluation of Hydrogeoethics approach for sustainable management of groundwater resources in the upper Kabul sub-basin, Afghanistan. Sustain. Water Resour. Manag. 2021, 7, 1–7. [Google Scholar]
  3. Jawadi, H.A.; Sagin, J.; Snow, D.D. A detailed assessment of groundwater quality in the Kabul Basin, Afghanistan, and suitability for future development. Water 2020, 12, 2890. [Google Scholar] [CrossRef]
  4. Jawadi, H.A.; Iqbal, M.W.; Naseri, M.; Farahmand, A.; Azizi, A.H.; Eqrar, M.N. Nitrate contamination in groundwater of Kabul Province, Afghanistan: Reasons behind and conceptual management framework discourse. J. Mt. Sci. 2022, 19, 1274–1291. [Google Scholar] [CrossRef]
  5. Noori, A.R.; Singh, S.K. Status of groundwater resource potential and its quality at Kabul, Afghanistan: A review. Environ. Earth Sci. 2021, 80, 654. [Google Scholar] [CrossRef]
  6. Noori, A.R.; Singh, S.K. Spatial and temporal trend analysis of groundwater levels and regional groundwater drought assessment of Kabul, Afghanistan. Environ. Earth Sci. 2021, 80, 698. [Google Scholar] [CrossRef]
  7. Mack, T.J.; Chornack, M.P.; Taher, M.R. Groundwater-level trends and implications for sustainable water use in the Kabul Basin, Afghanistan. Environ. Syst. Decis. 2013, 33, 457–467. [Google Scholar] [CrossRef] [Green Version]
  8. Taher, M.R.; Chornack, M.P.; Mack, T.J. Groundwater levels in the Kabul Basin, Afghanistan, U.S. Geological Survey Open-File Report 2004–2013; The U.S. Geological Survey: Kabul, Afghanistan, 2013; pp. 1–51.
  9. Zaryab, A.; Noori, A.R.; Wegerich, K.; Klove, B. Assessment of water quality and quantity trends in Kabul aquifers with an outline for future drinking supplies. Cent. Asian J. Water Res. 2017, 3, 3–11. [Google Scholar]
  10. Zaryab, A.; Nassery, H.R.; Alijani, F. The effects of urbanization on the groundwater system of the Kabul shallow aquifers, Afghanistan. Hydrogeol. J. 2021, 30, 429–443. [Google Scholar] [CrossRef]
  11. Zaryab, A.; Nassery, H.R.; Alijani, F. Identification sources of groundwater salinity and major hydrogeochemical processes in the Lower Kabul Basin aquifer, Afghanistan. Environ. Sci. Processes Impacts 2021, 23, 1589–1599. [Google Scholar] [CrossRef] [PubMed]
  12. Zaryab, A.; Nassery, H.R.; Knoeller, K.; Alijani, F.; Minet, E. Determining nitrate pollution sources in the Kabul Plain aquifer (Afghanistan) using stable isotopes and Bayesian stable isotope mixing model. Sci. Total Environ. 2022, 823, 153749. [Google Scholar] [CrossRef]
  13. Escalante, E.F.; Gil, R.C.; Fraile, M.Á.S.M.; Serrano, F.S. Economic assessment of opportunities for Managed Aquifer recharge techniques in Spain using an advanced geographic information system (GIS). Water 2014, 6, 2021–2040. [Google Scholar] [CrossRef] [Green Version]
  14. Fuentes, C.; Chávez, C.; Quevedo, A.; Trejo-Alonso, J.; Fuentes, S. Modeling of artificial groundwater recharge by wells: A model stratified porous medium. Mathematics 2020, 8, 1764. [Google Scholar] [CrossRef]
  15. Horriche, F.J.; Benabdallah, S. Assessing aquifer water level and salinity for a managed artificial recharge site using reclaimed water. Water 2020, 12, 2–11. [Google Scholar]
  16. Hussain, F.; Hussain, R.; Wu, R.S.; Abbas, T. Rainwater harvesting potential and utilization for artificial recharge of groundwater using recharge wells. Processes 2019, 7, 623. [Google Scholar] [CrossRef] [Green Version]
  17. Meaški, H.; Biondić, R.; Loborec, J.; Oskoruš, D. The possibility of managed aquifer recharge (Mar) for normal functioning of the public water-supply of Zagreb, Croatia. Water 2021, 13, 1562. [Google Scholar] [CrossRef]
  18. Salameh, E.; Abdallat, G.; van der Valk, M. Planning considerations of managed aquifer recharge (MAR) projects in Jordan. Water 2019, 11, 182. [Google Scholar] [CrossRef] [Green Version]
  19. Chowdhury, A.; Jha, M.K.; Chowdary, V.M. Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environ. Earth Sci. 2021, 59, 1209–1222. [Google Scholar] [CrossRef]
  20. Todd, D.K.; Mays, L.W. Groundwater Hydrology, 3rd ed.; Wiley: Hoboken, NJ, USA, 2004; pp. 547–589. [Google Scholar]
  21. Jung, H.S.; Lee, S. Remote sensing and geoscience information systems applied to groundwater research. Remote Sens. 2021, 13, 2086. [Google Scholar] [CrossRef]
  22. Wehbe, Y.; Temimi, M. A remote sensing-based assessment of water resources in the arabian peninsula. Remote Sens. 2021, 13, 247. [Google Scholar] [CrossRef]
  23. Sagintayev, Z.; Sultan, M.; Khan, S.D.; Khan, S.A.; Mahmood, K.; Yan, E.; Milewski, A.; Marsala, P. A remote sensing contribution to hydrologic modelling in arid and inaccessible watersheds, Pishin Lora basin, Pakistan. Hydrol. Process. 2012, 26, 85–99. [Google Scholar] [CrossRef]
  24. Shakoor, A.; Khan, Z.M.; Farid, H.U.; Sultan, M.; Ahmad, I.; Ahmad, N.; Mahmood, M.H.; Ali, M.U. Delineation of regional groundwater vulnerability using DRASTIC model for agricultural application in Pakistan. Arab. J. Geosci. 2020, 13, 2–23. [Google Scholar] [CrossRef]
  25. Lentswe, G.B.; Molwalefhe, L. Delineation of potential groundwater recharge zones using analytic hierarchy process-guided GIS in the semi-arid Motloutse watershed, eastern Botswana. J. Hydrol. Reg. Stud. 2020, 28, 2–22. [Google Scholar] [CrossRef]
  26. Ozdemir, A. Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey). J. Hydrol. 2011, 405, 123–136. [Google Scholar] [CrossRef]
  27. Golkarian, A.; Rahmati, O. Use of a maximum entropy model to identify the key factors that influence groundwater availability on the Gonabad Plain, Iran. Environ. Earth Sci. 2018, 77, 2–20. [Google Scholar] [CrossRef]
  28. Naghibi, S.A.; Pourghasemi, H.R.; Abbaspour, K. A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran. Theor. Appl. Climatol. 2018, 131, 3–4. [Google Scholar] [CrossRef]
  29. Leblanc, M.; Leduc, C.; Razack, M.; Lemoalle, J.; Dagorne, D.; Mofor, L. Applications of remote sensing and GIS for groundwater modelling of large semiarid areas: Example of the Lake Chad Basin, Africa. Int. Assoc. Hydrol. Sci. Publ. 2003, 278, 186–194. [Google Scholar]
  30. Tweed, S.O.; Leblanc, M.; Webb, J.A.; Lubczynski, M.W. Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia. Hydrogeol. J. 2007, 15, 75–96. [Google Scholar] [CrossRef]
  31. Pittore, M.; Wieland, M.; Fleming, K. Perspectives on global dynamic exposure modeling for geo-risk assessment. Nat. Hazards 2017, 86, 7–30. [Google Scholar] [CrossRef]
  32. Ahirwar, S.; Malik, M.S.; Ahirwar, R.; Shukla, J.P. Application of Remote Sensing and GIS for Groundwater Recharge Potential Zone Mapping in Upper Betwa Watershed. J. Geol. Soc. India 2020, 95, 308–314. [Google Scholar] [CrossRef]
  33. Allafta, H.; Opp, C.; Patra, S. Identification of groundwater potential zones using remote sensing and GIS techniques: A case study of the shatt Al-Arab Basin. Remote Sens. 2021, 13, 112. [Google Scholar] [CrossRef]
  34. Gaber, A.; Mohamed, A.K.; Elgalladi, A.; Abdelkareem, M.; Beshr, A.M.; Koch, M. Mapping the groundwater potentiality of West Qena area, Egypt, using integrated remote sensing and hydro-geophysical techniques. Remote Sens. 2020, 12, 1559. [Google Scholar] [CrossRef]
  35. Lee, S.; Hyun, Y.; Lee, S.; Lee, M.J. Groundwater potential mapping using remote sensing and GIS-based machine learning techniques. Remote Sens. 2020, 12, 1200. [Google Scholar] [CrossRef] [Green Version]
  36. Qadir, J.; Bhat, M.S.; Alam, A.; Rashid, I. Mapping groundwater potential zones using remote sensing and GIS approach in Jammu Himalaya, Jammu and Kashmir. Geo. J. 2020, 85, 487–504. [Google Scholar] [CrossRef]
  37. Xu, G.; Su, X.; Zhang, Y.; You, B. Identifying potential sites for artificial recharge in the plain area of the daqing river catchment using gis-based multi-criteria analysis. Sustainability 2021, 13, 3978. [Google Scholar] [CrossRef]
  38. Thapa, R.; Gupta, S.; Guin, S.; Kaur, H. Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: A case study from Birbhum district, West Bengal. Appl. Water Sci. 2017, 7, 4117–4131. [Google Scholar] [CrossRef]
  39. Valis, D.; Hsilova, K.; Forbelska, M. Modeling water distribution network failures and deterioration. In Proceedings of the IEEE International Conference on Industrial and Engineering and Engineering Management, Singapore, 10–13 December 2017; pp. 924–928. [Google Scholar] [CrossRef]
  40. Gdoura, K.; Anane, M.; Jellali, S. Geospatial and AHP-multicriteria analyses to locate and rank suitable sites for groundwater recharge with reclaimed water. Resour. Conserv. Recycl. 2015, 104, 19–30. [Google Scholar] [CrossRef]
  41. Kadhem, G.M.; Zubari, W.K. Identifying Optimal Locations for Artificial Groundwater Recharge by Rainfall in the Kingdom of Bahrain. Earth Syst. Environ. 2020, 4, 551–566. [Google Scholar] [CrossRef]
  42. Ahmadi, H.; Kaya, O.A.; Babadagi, E.; Savas, T.; Pekkan, E. GIS-Based Groundwater Potentiality Mapping Using AHP and FR Models in Central Antalya, Turkey. Environ. Sci. Proc. 2020, 5, 11. [Google Scholar]
  43. Rajasekhar, M.; Sudarsana Raju, G.; Siddi Raju, R. Assessment of groundwater potential zones in parts of the semi-arid region of Anantapur District, Andhra Pradesh, India using GIS and AHP approach. Modeling Earth Syst. Environ. 2019, 5, 1303–1317. [Google Scholar] [CrossRef]
  44. Yıldırım, Ü. Identification of Groundwater Potential Zones Using GIS and Multi-Criteria Decision-Making Techniques: A Case Study Upper Coruh River Basin (NE Turkey). ISPRS Int. J. Geo-Inf. 2021, 10, 396. [Google Scholar] [CrossRef]
  45. Anane, M.; Kallali, H.; Jellali, S.; Ouessar, M. Ranking suitable sites for Soil Aquifer Treatment in Jerba Island (Tunisia) using remote sensing, GIS and AHP-multicriteria decision analysis. Int. J. Water 2008, 4, 121–135. [Google Scholar] [CrossRef]
  46. Machiwa, J.F. African Journal of Aquatic Science Nature of suspended particulate matter and concentrations of heavy metals in sediment in the southern part of Lake Victoria, East Africa Nature of suspended particulate matter and concentrations of heavy. Afr. J. Aquat. Sci. 2010, 35, 95–101. [Google Scholar] [CrossRef]
  47. MAIL. Afghanistan Land use Map. National Water Affair Regulation Authority of Afghanistan; FAO: Kabul, Afghanistan, 2020. [Google Scholar]
  48. USGS. Geologic Faults of Afghanistan; The U.S. Geological Survey: Kabul, Afghanistan, 2006.
  49. Peters, S.G.; King, T.V.V.; Mack, T.J.; Chornack, M.P. Summaries of Important Areas for Mineral Investment and Production Opportunities of Nonfuel Minerals in Afghanistan; The U.S. Geological Survey: Kabul, Afghanistan, 2011. Available online: https://afghanistan.cr.usgs.gov/ (accessed on 8 February 2022).
  50. Lindsay, C.R.; Snee, L.W.; Bohannon, R.R. Geologic Map of Quadrangle 3568, Polekhomri (503) and Charikar (504) Quadrangles, Afghanistan; The U.S. Geological Survey: Kabul, Afghanistan, 2005. Available online: https://www.usgs.gov/publications/maps-quadrangle-3568-polekhomri-503-and-charikar-504-quadrangles-afghanistan (accessed on 12 February 2022).
  51. Bohannon, R.G.; Turner, K.J. Geologic Map of Quadrangle 3468, Chak Wardak-Syahgerd (509) and Kabul (510) Quadrangles, Afghanistan; The U.S. Geological Survey: Kabul, Afghanistan, 2007.
  52. Mack, T.J.; Akbari, M.A.; Ashoor, M.H.; Chornack, M.P.; Coplen, T.B.; Emerson, D.G.; Hubbard, B.E.; Litke, D.W.; Michel, R.L.; Plummer, L.N.; et al. Conceptual Model of Water Resources in the Kabul Basin, Afghanistan; The U.S. Geological Survey: Kabul, Afghanistan, 2009; 168, p. 255.
  53. Böckh, E.G. Report on the Groundwater Resources of the City of Kabul-Report for Bundesanstalt fÜr Geowissenschaften und rohstoffe. 1971; unpublished. [Google Scholar]
  54. USDA. Afghanistan-Soil Map. United States Department of Agriculture; 2001. Available online: https://www.nrcs.usda.gov/ (accessed on 25 February 2022).
  55. AGEC. Final Well Construction Report for World Bank HQ Building Water Well. 2017. Available online: http://www.afghanite.net/ (accessed on 26 February 2022).
  56. Genxu, W.; Lingyuan, Y.; Lin, C.; Kubota, J. Impacts of land use changes on groundwater resources in the Heihe River Basin. J. Geogr. Sci. 2005, 15, 405–414. [Google Scholar] [CrossRef]
  57. Saravanan, S.; Jennifer, J.J.; Singh, L.; Thiyagarajan, S.; Sankaralingam, S. Impact of land-use change on soil erosion in the Coonoor Watershed, Nilgiris Mountain Range, Tamil Nadu, India. Arab. J. Geosci. 2021, 14, 1–15. [Google Scholar] [CrossRef]
  58. Sims, D.W.; Waiting, D.J.; Morris, A.P.; Franklin, N.M.; Schultz, A.L. Structural framework of the Edwards Aquifer recharge zone in south-central Texas. GSA Bull. 2004, 116, 407–418. [Google Scholar]
  59. Agarwal, R.; Garg, P.K. Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision-Making Technique. Water Resour. Manag. 2015, 30, 243–260. [Google Scholar]
  60. Mogaji, K.A.; Omosuyi, G.O.; Adelusi, A.O. Application of GIS-Based Evidential Belief Function Model to Regional Groundwater Recharge Potential Zones Mapping in Hardrock Geologic Terrain. Environ. Monit. Assess. 2016, 3, 93–123. [Google Scholar]
  61. Abijith, D.; Saravanan, S.; Singh, L.; Jacinth, J.; Saranya, T.; Parthasarathy, K.S.; Jennifer, J.J.; Saranya, T.; Parthasarathy, K.S. GIS-based multi-criteria analysis for identification of potential groundwater recharge zones—A case study from Ponnaniyaru watershed, Tamil Nadu, India. HydroResearch 2020, 3, 1–14. [Google Scholar] [CrossRef]
  62. CGWB. Manual on Artificial Recharge of Groundwater; Ministry of Water Resources of India: Faridabad, India, 2007.
  63. Saaty, T.L. Analytic Hierarchy Process; Wiley Stats Ref: Statistics Reference online; John & Wiley & Sons: Hoboken, NJ, USA, 2014; Volume 1, p. 11. [Google Scholar]
  64. Selvam, S.; Dar, F.A.; Magesh, N.S.; Singaraja, C.; Venkatramanan, S.; Chung, S.Y. Application of remote sensing and GIS for delineating groundwater recharge potential zones of Kovilpatti Municipality, Tamil Nadu using IF technique. Earth Sci. Inform. 2016, 9, 137–150. [Google Scholar] [CrossRef]
  65. Magesh, N.S.; Chandrasekar, N.; Soundranayagam, J.P. Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci. Front. 2012, 3, 189–196. [Google Scholar] [CrossRef] [Green Version]
  66. The United Nations World Water Development Report. Groundwater: Making the invisible visible. 2022. Available online: https://www.unwater.org/publications/un-world-water-development-report-2022/ (accessed on 12 February 2022).
Figure 1. Location of the study area within the Upper Indus Basin.
Figure 1. Location of the study area within the Upper Indus Basin.
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Figure 2. The flowchart of the overall methodology.
Figure 2. The flowchart of the overall methodology.
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Figure 3. Maps of the remote sensing data: (a) slope; (b) drainage density; (c) land use; (d) distance to fault.
Figure 3. Maps of the remote sensing data: (a) slope; (b) drainage density; (c) land use; (d) distance to fault.
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Figure 4. Geology map (A) and conceptualized hydro geologic cross section (B) of the study area [50].
Figure 4. Geology map (A) and conceptualized hydro geologic cross section (B) of the study area [50].
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Figure 5. Maps of the conventional data: (a) lithology; (b) soil texture.
Figure 5. Maps of the conventional data: (a) lithology; (b) soil texture.
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Figure 6. Water resource contribution to the area: (a) water table; (b) rainfall; (c) major river.
Figure 6. Water resource contribution to the area: (a) water table; (b) rainfall; (c) major river.
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Figure 7. Ranked and reclassified layer maps: (a) slope; (b) drainage density; (c) distance to fault; (d) land use; (e) lithology; (f) soil texture; (g) rainfall; (h) water table; (i) distance to river.
Figure 7. Ranked and reclassified layer maps: (a) slope; (b) drainage density; (c) distance to fault; (d) land use; (e) lithology; (f) soil texture; (g) rainfall; (h) water table; (i) distance to river.
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Figure 8. Map of groundwater recharge suitability for the Kabul aquifer.
Figure 8. Map of groundwater recharge suitability for the Kabul aquifer.
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Figure 9. Distribution of suitable areas in the Kabul aquifer.
Figure 9. Distribution of suitable areas in the Kabul aquifer.
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Figure 10. Relative importance of thematic layers.
Figure 10. Relative importance of thematic layers.
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Figure 11. Lithological maps showing location of: (a) extraction wells and suitable sites to recharge identified by previous studies; (b) groundwater recharge potential zones by AHP method and established extraction wells and suitable sites; (c) hydraulic conductivity, k (m/day), distribution in the study area.
Figure 11. Lithological maps showing location of: (a) extraction wells and suitable sites to recharge identified by previous studies; (b) groundwater recharge potential zones by AHP method and established extraction wells and suitable sites; (c) hydraulic conductivity, k (m/day), distribution in the study area.
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Table 1. Ranking of the suitability variables.
Table 1. Ranking of the suitability variables.
ParametersRangeRank
Slope
(Degree)
0–25
2.1–54
5.1–83
8.1–132
13.1–771
LithologyGneiss1
ultramafic intrusions2
gabbro and monzonite3
sandstone and siltstone/carbonates4
Fan alluvium and colluvium/loess/conglomerate and fractured sandstone5
Drainage
density
0–0.171
0.17–0.302
0.30–0.463
0.46–0.674
>0.675
Land-useRock Outcrop/ Bare Soil/Settlements/Marshland Permanently inundated1
Fruit Trees/Irrigated: Intensively Cultivated (1 crop/Year)2
Irrigated: Intermittently Cultivated/Vineyards3
Rangeland (grassland/forbs/low shrubs)4
Rain fed Crops (flat lying areas)/Water bodies5
ground water
table (m)
>602
30–604
15–305
<151
Rainfall
(mm)
319.25–323.861
323.861–328.472
328.4701–333.073
333.078–337.64
337.68–342.35
Distance to
river (m)
0–503
50–3005
300–10004
1000–50002
>50001
Distance to
fault (m)
0–35003
3500–66005
6600–98004
9800–13,5002
>13,5001
SoilHaplocambids with Torriorthents5
Rocky land with Lithic Haplocambids4
Rocky lands with Lithic Cryorthents3
Xerorthents and Xerochrepts2
Rocky land with Lithic Haplocryids1
Table 2. Saaty’s 1-9 scale of relative importance [62].
Table 2. Saaty’s 1-9 scale of relative importance [62].
Intensity of ImportanceInterpretation
1Equal importance
3Moderate importance
5Essential
7Very strong importance
9Extreme importance
2,4,6,8Intermediate value between adjacent scale values
Table 3. Pairwise comparison matrix of parameters.
Table 3. Pairwise comparison matrix of parameters.
ParameterSlopeGeologyDrainage DensityLand UseDistance to FaultWater TableSoil TextureDistance to RiverRainfall
Slope11.091.5354.5241.63
Geology0.911232.51.521.022.16
Drainage Density0.660.511.52.51.52.523.06
Land use0.330.330.661351.522.58
Distance to fault0.20.40.40.3311.61.52.026.96
Water table0.220.660.660.20.62111.011.07
Soil texture0.50.50.40.660.661131.26
Distance
to river
0.250.980.50.50.490.990.3311.24
Rainfall0.610.460.320.380.140.930.790.801
CI0.09
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Mahdawi, Q.; Sagin, J.; Absametov, M.; Zaryab, A. Water Recharges Suitability in Kabul Aquifer System within the Upper Indus Basin. Water 2022, 14, 2390. https://doi.org/10.3390/w14152390

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Mahdawi Q, Sagin J, Absametov M, Zaryab A. Water Recharges Suitability in Kabul Aquifer System within the Upper Indus Basin. Water. 2022; 14(15):2390. https://doi.org/10.3390/w14152390

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Mahdawi, Qasim, Jay Sagin, Malis Absametov, and Abdulhalim Zaryab. 2022. "Water Recharges Suitability in Kabul Aquifer System within the Upper Indus Basin" Water 14, no. 15: 2390. https://doi.org/10.3390/w14152390

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