Indian Journal of Agricultural Research

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Research Article

Indian Journal of Agricultural Research, volume 55 issue 1 (february 2021) : 23-32

An Approach to Mapping Groundwater Recharge Potential Zones using Geospatial Techniques in Kayadhu River Basin, Maharashtra

Bhagwan B. Ghute1,*, Shaikh Md. Babar2
1Department of Geology, Toshniwal Arts, Commerce and Science College, Sengaon, Hingoli-431 542, Maharashtra, India.
2Department of Geology, Dnyanopasak College, Parbhani-431 401, Maharashtra, India.
Cite article:- Ghute B. Bhagwan, Babar Md. Shaikh (2020). An Approach to Mapping Groundwater Recharge Potential Zones using Geospatial Techniques in Kayadhu River Basin, Maharashtra . Indian Journal of Agricultural Research. 55(1): 23-32. doi: 10.18805/IJARe.A-5477.

ABSTRACT

Rapid increase in population, agricultural expansion and ongoing development projects in the region. However, the region is facing water scarcity because of seasonal precipitation and inadequate surface water resources. Therefore, groundwater resources are gaining much more attention mainly in Kayadhu river basin to fulfil drinkable water requirements in the area. To maintain the long-term sustainability of water resources artificial recharge is expected to become frequently necessary in future as the growing population requires more water and consequently, more storage is required to conserve water for use in the times of shortage. Geospatial techniques are used in the field of hydrology and water resources management. One of the chief advantages of this techniques for hydrological investigation and observe its ability to generate data in spatial and temporal fields, which plays vital role for fruitful analysis, estimation and authentication. The suitable zones for artificial recharge were identified by overlaying thematic layers such as land use/land cover, lineament density, slope, drainage density, lithology, geomorphology, rainfall and soil characteristics are integrated with recharge potential factors. The result reveals that 79% area of Kayadhu river basin is most effective for high to moderate artificial recharge potential zone.

INTRODUCTION

According to Freeze and Cherry (1979) groundwater is defined as subsurface water that fills all the openings in the soil and rock formations below the water table. Groundwater flows through the aquifer towards the point of discharge such as springs, wells, rivers, lakes and the ocean. Ground water conditions are largely controlled by the prevalence and orientation of primary and secondary porosity. The depletion of groundwater levels is not a new account in Maharashtra, India, however, it has continued for last two decades, while annual water demand increased for agricultural, industrial activities and semi-arid situations in the Kayadhu river basin of Deccan Basaltic Province (DBP). The state is facing severe shortage of groundwater in spite of receiving a high annual rainfall (Raju, 1998). There are many influencing parameters that affects groundwater recharge potential in the area such as land use/land cover, lineament density, slope, drainage density, geology, geomorphology, rainfall and soil characteristics. Modern remote sensing techniques enable demarcation of suitable areas for groundwater renewal by taking into account the diversity of factors that control groundwater recharge. Satellite remote sensing has emerged as a useful tool for watershed characterization, conservation, planning and management in recent times (Aher and Sharma, 2014). Various studies have been carried out throughout the world to identify the groundwater recharge potential zones by employing remote sensing and GIS techniques were frequently employed in these studies for the preparation of required thematic layers. Moreover, existing maps, aerial photographs and ûeld data inputs have been commonly used (Krishnamurthy and Srinivas 1995; Krishnamurthy et al., 1996; Saraf and Choudhury 1997; Saraf and Choudhury 1998; Murthy 2000; Shahid et al., 2000, Krishnamurthy et al., 1996; Sener et al., 2005; Sree Devi 2003; Shaban et al., 2006; Solomon and Quiel, 2006; Tweed et al., 2007; Jasrotia and Kumar 2007; Ghayoumian et al., 2007; Yeh et al., 2009; Nagarajan and Singh 2009; Chenini et al., 2010, Subagunasekar and Sashikkumar 2012; Senanayake et al., 2016). 2009; Riad et al., 2011b). Most of these studies were built on knowledge-based approach and integrating diverse thematic layers such as land use/land cover, geology, geomorphology, lineament density, drainage density, slope, soil etc. with GIS techniques. Artificial recharge is a controlled recharge where surface water is put on or in the ground for infiltration and consequently moves towards the aquifer to enhance the groundwater resources (Ta’any, 2011). It can be defined as the practice of increasing the amount of water entering to the subsurface reservoirs by artificial means (Bouwer 2002; Bhattacharya 2010). With Geographical Information System and satellite data, attempts were made to develop a suitable GIS based model, for mapping groundwater recharge potential zones by integrating different thematic layers which have direct control on ground water recharge in Kayadhu river basin, Maharashtra, India.

MATERIALS AND METHODS

The study area (Kayadhu river basin) is located in the eastern part of Deccan Basaltic Province (DBP), Maharashtra, India. The basin is confined between N19° 22¢¢, E77° 40¢¢ in the South East and N 20° 00¢¢ E76° 40¢¢ North West and total area of the basin is 2158.38 km2. Out of the total area, around 1639.57 km2 is covered with agriculture, 435.57 km2 with waste land, 38.52 km2 with settlements, 38.79 km2 with forest and 5.92km2 with water bodies. The Kayadhu river is seventh order and the major water source of this area and it originates from the Angarwadi village in Risod tauka of Washim district in Ajanta hill ranges with an elevation of 580 m. The drainage pattern in the study area is mostly dendritic as well as semi-dendritic. Climatologically, this area experiences semi-arid, sub-tropical condition characteristically hot summer with an annual rainfall ranging from 750 to 1244 mm and the temperature ranges between 12.7 and 41.7°C. The southwest monsoon is a major source of rainfall in the study area and it occurs during June to September (CGWB 2013). The population in the study area is around 5,00,000 and are distributed over 270 Panchayat villages and 4 townships (Fig 1).
 

Fig 1: Location map of the study area.


       
For the present study, the methodology used is shown in the flow chart (Fig 2). In this study the spatial data base has been created using the topographic maps obtained from the Survey of India (SOI) 1:50000 scale, IRS P6 LISS IV MX satellite data, ASTER GDEM and field verification. Various thematic maps such as geology, drainage density, lineament density, rainfall data, soil, land-use/land cover, slope and geomorphology are prepared by using GIS and remote sensing. All of the map themes were presented in UTM Projection Zone 43 N, Datum WGS84 with 30 m resolution and converted to raster format.

Fig 2: Flow chart showing methodology adopted in the study area to mapping groundwater recharge potential zone.


 
Preparation of thematic layers
 
Geology
 
The type of rock exposed on the surface significantly affects the groundwater recharge (Shaban et al., 2006). According to El-Baz and Himida (1995) geology affects the groundwater recharge by controlling the percolation of water flow. While, some researches have ignored this factor by regarding the lineaments and drainage features as a function of primary and secondary porosity, this study includes lithology to minimize uncertainty in determining lineaments and drainage.
 
Land use/cover
 
Land use /cover is an important indicator of the extent of groundwater requirements and groundwater utilization as well as important for selection of groundwater recharge. Satellite data LISS IV, topographic maps and field evidences were used as reference data. The different classes of land use /cover are identified on the basis of different tone in the satellite image such as barren land, water bodies, settlements, agriculture land and forest area.
 
Slope map
 
The study related with groundwater flow and storage the slope is often neglected; mainly in the plain areas (Al Saud, 2010).  The slope gradient is directly affecting the infiltration of surface runoff. High slope gradient produces small recharge and the area where slope is minimum it tends to water longer had a greater chance of infiltration and recharge during rainfall (Jasrotia et al., 2007; Yeh et al., 2016). The slope map was prepared from the ASTER GDEM in the GIS by using slope analysis function to assess the variation of the slope in the Kayadhu basin.
 
Lineaments
 
The term lineament is a commonly used in remote sensing studies in connection with fractures or weak zone. Lineaments are defined as mappable linear to slightly curvilinear subsurface features, which are differ distinctly from the adjacent feature and pattern, reflect subsurface information (O’ Leary et al., 1976). The structural features usually related with joints, faults and lineaments may produce essentially straight rivers with minimum meandering (Twidale 2004). Lineaments are extracted from drainage pattern and vegetation shows prominent trends of feature observation on IRS P6 LISS IV satellite image. Lineaments in Kayadhu basin area were extracted through manual lineament extraction techniques (Weerasekara et al., 2014). Many non-geological structures, such as roads and channels, cause errors in the analysis of lineaments. These features are eliminated from the resultant layer.
 
Drainage density
 
The drainage density map of Kayadhu river (Fig 6) is the total length of all the streams in a drainage basin divided by the total area of the drainage basin. The structural analysis of a drainage network access the characteristics of a groundwater recharge zone. It is well known that the denser the denser the drainage network, the less recharge rate and vice versa. The percolation rate is also depending upon geology. According to Greenbaum (1985) is determined by an equation (1):
 
 
 
Where,  denotes the total length of the drainage
       
       
On the basis of topographic maps drainage network is digitised and using density function in GIS, drainage density is calculated.
 
Soil types
 
The soil map of study area obtained from the National Atlas and Thematic Mapping Organization (2005) and subsequently georeferenced and digitized. Thickness of soil cover is less towards NW part of the basin where ground elevations are higher. Soil in central, southern and eastern regions of the basin near the banks of rivers are thicker. Here soil, ranging in depth from 1 to 2 m, are black and rich in plant nutrients (CGWB 2013). When assigning weights to each soil class, permeability of each soil type has been considered in this study, since inûltration and percolation rates is directly related to permeability Senanayak et al., (2016).
 
Geomorphology
 
Geomorphologically, the study area is identified by various landforms such as older alluvial plain, present flood plain, pediments, pediplains, highly dissected plateau and denudational hills. Among these landforms older alluvial plain, present flood plain and pediplains have more potential for groundwater recharge, but the highly dissected plateau and denudational hills are not suitable for water augmentation because of the steep slope.
 
Rainfall
 
Rainfall is main source for groundwater recharge (Musa et al., 2000) and similarly for all hydrological process. The annual rainfall data collected from the Indian Meteorological Department (IMD) for annual rainfall measurements from rain gauge stations in the study region. The rainfall map has been categorized into three categories of rainfall zones each of 100 mm interval.
       
Subsequently, the thematic maps are used to analyse in overlay and ranks and weights are assigned for each thematic layer to evaluate the groundwater recharge potential zone as shown in Table 1 and Table 2. For identifying ground water recharge potential zones for an area following equation (2):
 
Pr=GLwGLr + DDwDDr + LCwLCr + LDwLDr + RFwRFr + GGwGGr  + SGwSGr  +SCwSCr                          (2)          

Where,
Pr is the groundwater recharge potential index, GL is the geology index DD drainage density index, LC land use land cover index, LD is lineament density, RF is rainfall index, GG is geomorphology, SG is slope gradient and SC is soil cover index. The subscript w and r represent the weight of a theme and the ranking of individual class of the theme respectively.
 

Table 1: Ranks assigned to themes. (Modified after Shahid et al. 2000; Jaiswal et al. 2003; Basavaraj and Nijagunappa 2011; Magesh et al. 2012; Sarup et al. 2011; Yeh et al., 2016; Senanayak et al., 2016).


 

Table 2: Weight assigned to each class of the theme (Modified after Shahid et al. 2000; Jaiswal et al. 2003; Basavaraj and Nijagunappa 2011; Magesh et al. 2012; Sarup et al. 2011; Yeh et al., 2016; Senanayak et al., 2016).

RESULTS AND DISCUSSION

The geological map of area having three geological units such as Simple (aa type) basalt, compound (pahoehoe type) basalt and alluvial deposits in the study area (Fig 3). Simple aa type basalt covers 420.16 km2 area having low porosity and permeability compared with compound pahoehoe type basalt 1531.73 km2. Alluvium occupied 206.42 km2 area of the study area. Land use /Land cover is one of the major governing factors in groundwater recharge processes. The different types of land use pattern identified in the study area, which includes agricultural land, waste land, settlements, forest and water bodies. Water bodies and agriculture land are good zones for groundwater recharge. Settlements and forest are moderate for groundwater recharge, whereas waste land having steep slope therefore low potential for groundwater recharge. The ranking potential distribution of land use and land cover (Fig 4) of the study area. The slope gradient has its own importance in affecting the runoff, recharge and movement of surface water. These are classified into four classes: (1) 0°-2°, (2) 2°-4°, (3) 4°-6° and (4) 6°-8°. It can be seen that the lowest slope (0°-2°). Slope is inversely proportional to recharge (Fig 5).
 

Fig 3: Geological map of Kayadhu river basin.


 

Fig 4: Land use land cover map of Kayadhu river basin.


 

Fig 5: Slope map of Kayadhu river basin.


       
Lineaments density (Fig 6) and drainage density (Fig 7) are also important, more the density more will be the recharge. Soil map of the study area reveals three main soil categories (Fig 8). The study area is dominated by medium black soil (1479.64km2) and shallow black soil  (476.70km2) with deep black soil present in relatively small areas (202.03 km2) (NATMO 2005). Black soil is highly resistant for recharge because it having low permeability. Geomorphologically, the study area is identified by various geomorphic units such as older alluvial plain, present flood plain (17.75km2), pediments (156.11 km2), pediplains (1455.39 km2), highly dissected plateau (457.55 km2) and denudational hills (21.48 km2) (Fig 9). A large part of the study area is covered with pediplain formation. A pediment is a gently sloping and transport and erode rock and connects eroding slopes to the areas of sediment deposition at lower levels (Oberlander, 1989). Among these geomorphic units alluvial plain, present flood plain and pediplains have more potential for groundwater recharge, but the highly dissected plateau and denudational hills are not suitable for effective groundwater recharge. Rainfall map of study area (Fig 10) shows a variation in the rainfall pattern in the Kayadhu river basin.
 

Fig 6: Lineament density map of Kayadhu river basin.


 

Fig 7: Drainage density map of Kayadhu river basin.


 

Fig 8: Soil map of Kayadhu river basin.


 

Fig 9: Geomorphological map of Kayadhu river basin.


 

Fig 10: Rainfall map of Kayadhu river basin.

Fig 11: Groundwater recharge potential zone map of Kayadhu river basin.

CONCLUSION

In order to demarcate the ground water recharge potential zones, different thematic layers have been prepared by utilizing GIS techniques, thus it provides an effective practice for saving extensive time, labour and cost. Thematic layers such as rainfall, lineament density, slope, drainage Density, land use/land cover, geology, geomorphology and soil cover map layers were integrated on a GIS platform using the raster calculator in overlay analysis method for classifying ideal artificial recharge zone (Fig 11) in Kayadhu river basin. Around 79% area was found to have high to moderate groundwater recharge potential zone, whereas only 21% area have a low artificial groundwater recharge potential. Moreover, the most effective recharge potential is found on regions of alluvium deposit. Whereas, the least effective recharge potential is in simple basalt formations. The resultant artificial recharge potential map and the technique used in this study will help as for sustainable use of groundwater resource for enhancing groundwater recharge by proper management and recommendation for artificial recharge structures such as percolation tanks, recharge basins, recharge wells, ridges and furrows, check dams, gully control/ stone wall structures, contour bunding, trenching, land fooding etc. This technique evaluates best qualitative approach for artificial recharge.

ACKNOWLEDGEMENT

The corresponding author is thankful to Swami Ramanand Teerth Marathwada University, Nanded for providing the financial support through research project File No. APDS/Uni.MRP/Sci.andTech.-Geology/2017-18/2962.

REFERENCES


  1. Aher, P.D. and Sharma, H.C. (2014). Morphometric characterisation of Gagar watershed in Kumaon region of Uttarakhand for management planning: A GIS approach. Agricultural Science Digest. 34: 163-170

  2. Basavaraj, H. and Nijagunappa, R. (2011). Identification of ground water potential zone using geoinformatics in Ghataprabha basin, North Karnataka, India. International Journal of Geomatics and Geosciences. 2: 91–109

  3. Bhattacharya, A.K. (2010). Artiûcial ground water recharge with a special reference to India. International Journal of Research and Reviews in Applied Sciences. 4(2): 214–21.

  4. Bouwer, H. (2002). Artiûcial recharge of groundwater: hydro-geology and engineering. Hydrogeol J. 10(1): 121–142.

  5. CGWB (2007). Manual on Artiûcial Recharge of Groundwater. Ministry of Water Resource Board, Government of India.

  6. CGWB (2013). Groundwater information Hingoli district Maharashtra. Ministry of Water Resources, Govt. of India. Nagpur.

  7. Chenini, I. Abdallah, B. Moufida, E.M. (2010). Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia, (Maknassy Basin). Water Resour Manage. 24: 921–939.

  8. El-Baz, F. and Himida, I. (1995). Groundwater potential of the Sinai Peninsula. Egypt, Project Summery, AID, Cairo.

  9. Freeze, R.A. and Cherry, J.A. (1979). Groundwater. Prentice-Hall, Inc., Englewood Cliffs.

  10. Ghayoumian, J. Saravi, M.M. Feiznia, S. Nouri, B. Malekian, A. (2007). Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran, Sciences, Journal of Asian Earth. 30: 364–74.

  11. Greenbaum, D. (1985). Review of remote sensing applications to groundwater exploration in basement and regolith, Brit Geol Surv Rep.

  12. Jaiswal, K. Mukherjee, S. Krishnamurthy, J. Saxena, R. (2003). Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development-    an approach. International Journal of Remote Sensing. 24(5): 993–1008.

  13. Jasrotia, A.S. Kumar, R. Saraf, A.K. (2007). Delineation of ground water recharge sites using integrated remote sensing and GIS in Jammu district. Int J Remote Sens. 28: 5019–5036.

  14. Krishnamurthy, J. and Srinivas, G. (1995). Role of geological and geomorphological factors in ground water exploration: a study using IRS LISS data. Int J Remote Sens. 16: 2595–    2618.

  15. Krishnamurthy, J. Venkatesa Kumar, N. Jayaraman, V. Manivel, M. (1996). An approach to demarcate groundwater potential zones through remote sensing and geographic information system. Int J Remote Sens. 17: 1867–1884.

  16. Magesh, N.S. Chandrasekar, N. Soundranayagam, J.P. (2012). Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers. 3(2): 189–96.

  17. Murthy, K.S.R. (2000). Groundwater potential in a semi-arid region of Andhra Pradesh-a geographical information system approach. Int J Remote Sens. 21: 1867–1884.

  18. Musa, K.A. Juhari Mat A. Abdullah I. (2000). Groundwater prediction potential zone in Langat Basin using the integration of remote sensing and GIS. The 21st Asian Conf on Remote Sensing, Taipei (Taiwan).

  19. Nagarajan, N. Singh, S. (2009). Assessment of groundwater potential zones using GIS technique. Indian Society of Remote Sensing. 37: 69–77.

  20. NATMO (2005). Thematic maps and atlas making, Under the ministry of Science and technology of India.

  21. O’Leary, D. Friedman, D. Poh, H. (1976). Lineaments, Linear, Lineations: Some Standards for Old Terms. Geological Society of America Bulletin. 87(10): 1463–69.

  22. Oberlander, T.M. (1989). Slope and pediment system. Arid Zone Geomorphology. 56–84.

  23. Raju, K.C.B. (1998). Importance of recharging depleted aquifers: State-of-the-art artificial-recharge in India. Journal of Geological Society of India. 51: 429-454.

  24. Riad, P.H. Billib, M. Hassan, A.A. Salam, M.A. El Din M.N. (2011b). Application of the overlay weighted model and Boolean logic to determine the best locations for artificial recharge of groundwater. Journal of Urban and Environmental Engineering. 5(2): 57-66.

  25. Saraf, A.K. and Choudhury, P.R. (1997). Integrated application of remote sensing and GIS for groundwater exploration in hard rock terrain. Symposium on Emerging Trends in Hydrology, Roorkee, India, 435-442.

  26. Saraf, A.K. and Choudhury, P.R. (1998) Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. Int J Remote Sens. 19(10): 1825-1841.

  27. Sarup, J., Tiwari, M.K., Khatediya, V. (2011). Delineate groundwater prospect zones and identification of artiûcial recharge sites using geospatial technique. International Journal of Advance Technology and Engineering Research. 1: 6-20.

  28. Saud, M.A. (2010). Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian Peninsula, using remote sensing and geographic information system techniques. Hydrogeol J. 18: 1481-95.

  29. Senanayake, I.P. Dissanayake, D.M.D.O.K. Mayadunna, B. Weerasekera, W.L. (2016). An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques. Geoscience Frontiers. 7(1): 115–124.

  30. Sener, E. Davraz, A. Ozcelik, M. (2005). An integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeol J. 13: 826–834.

  31. Shaban, A. Khawlie, M. Abdallah, C. (2006). Use of remote sensing and GIS to determine recharge potential zone: the case of Occidental Lebanon. Hydrogeol J. 14: 433–443.

  32. Shahid, S. Nath, S.K. Roy, J. (2000). Groundwater potential modelling in a soft rock area using GIS. Int J Remote Sens. 21: 1919–1924.

  33. Solomon, S. and Quiel, F. (2006). Groundwater study using remote sensing and geographic information system (GIS) in the central highlands of Eritrea. Hydrogeol J. 14: 1029–1041.

  34. Sree Devi, P.O. (2003). Assessment of ground water resources of Pageru river basin, Cuddapah district andhra Pradesh. Indian Journal of Agricultural Research. 37:245-252

  35. Subagunasekar, M. and Sashikkumar, M.C. (2012). GIS for the assessment of the groundwater recharge potential zone in Karunkulam block, Thoothukudi district, Tamil Nadu, India. International Journal of Current Science. 159–162.

  36. Ta’any, R.A. (2011). Impact of Wala dam on groundwater enhance- -ment of Wadi Wala catchment area in Jordan. Indian Journal of Agricultural Research. 45: 255-265.

  37. Tweed, S.O., Leblanc, M., Webb, J.A., Lubczynski, M.W. (2007). Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, south eastern Australia. Hydrogeol J. 15: 75-96.

  38. Twidale, C.R. (2004). River patterns and their meaning. Earth Science Reviews. 67: 159-218.

  39. Weerasekara, W. Mayadunna, B.B. Senanayake, I.P. Dissanayake, D.M.D.O.K. (2014). Integrated remote sensing and GIS in lineament mapping for groundwater exploration-A case study in Ambalantota, Sri Lanka. South Asian Institute of Technology and Medicine, Malabe, Sri Lanka, 62-65.

  40. Yeh, H.F., Cheng Y.S. Lin, H.I. Lee, C.H. (2016). Mapping ground water recharge potential zone using a GIS approach in Hualian River, Taiwan. Sustainable Environment Research. 26(1): 33-43.

  41. Yeh, H.F. Lee, C.H. Hsu, K.C. Chang, P.H. (2009). GIS for the assessment of the groundwater recharge potential zone, Environ Geol. 58: 185-95.
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