Water scarcity is the major problem in India where the population has been tremendously increasing, which results in invading natural resources, thus affectson hydrological processes. Because of this, significant surface water bodies have been disappearing continuously. Therefore, more pressure on groundwater resources is a consequence of that. The integration of remote sensing and geographical information system (GIS), which helps in groundwater research for the investigation of potential groundwater availability, is essential to assess, monitor, and conserve groundwater resources. This analysis reports on the mapping of various potential groundwater resources in the Kolleru Lake catchment, India, by using remote sensing and GIS techniques. For this, a survey of India toposheets and IRC-1C satellite imageries was used to prepare thematic layers of geomorphology, drainage density, lineament, slope, land-use, soil, rainfall, and NDVI converted into raster format in ArcGIS. The raster maps of these thematic layers were assigned to a weight-based factor depending on the catchment characteristics and its topographic influence. The results demonstrated that about 7% of the area is under excellent groundwater potential recharge. Good, moderate, and lower potential conditions are 42%, 38%, and 13%, respectively. The results indicated that the management of groundwater potential zones should be targeted on the middle-catchment region. Further, the results were validated with the borehole data obtained from the Government of Andhra Pradesh-Groundwater Department. These results are useful for better both planning and groundwater management sources in the Kolleru Lake catchment.
References
[1]
er, H. (1995) Hydrogeologie. Grundlagen und Methoden; Regionale Hydrogeologie: Mecklenburg-Vorpommern, Brandenburg und Berlin, Sachsen-Anhalt, Sachsen, Thüringen. Stuttgart, 603.
[2]
Barzegar, R., Moghaddam, A., Deo, R., Fijani, E. and Tziritis, E. (2018) Mapping Groundwater Contamination Risk of Multiple Aquifers Using a Multi-Model Ensemble of Machine Learning Algorithms. Science of the Total Environment, 621C, 697-712. https://doi.org/10.1016/j.scitotenv.2017.11.185
[3]
Saidi, S., Bouri, S., Dhia, H. and Anselme, B. (2011) Assessment of Groundwater Risk Using Intrinsic Vulnerability and Hazard Mapping: Application to Souassi Aquifer, Tunisian Sahel. Agricultural Water Management, 98, 1671-1682.
https://doi.org/10.1016/j.agwat.2011.06.005
[4]
Sener, E., Darvaz, A. and Ozcelik, M. (2005) Integration of GIS and Remote Sensing in Groundwater Investigations: A Case Study in Burdur, Turkey. Hydrogeology Journal, 13, 826-834. https://doi.org/10.1007/s10040-004-0378-5
[5]
Zabet, A.T. (2002) Evaluation of Aquifer Vulnerability to Contamination Potential Using the DRASTIC Method. ENVI Geology, 43, 203-208.
https://doi.org/10.1007/s00254-002-0645-5
[6]
Jha, M., Chowdary, V. and Chowdhury, A. (2010) Groundwater Assessment in Salboni Block, West Bengal (India) Using Remote Sensing, Geographical Information System, and Multi-Criteria Decision Analysis Techniques. Hydrogeology Journal, 18, 1713-1728. https://doi.org/10.1007/s10040-010-0631-z
Roscoe, M. (1990) Handbook of Ground Water Development. Wiley, New York, 34-51.
[9]
Graymore, M., Wallis, A. and Richards, A. (2009) An Index of Regional Sustainability: A GIS-Based Multiple Criteria Analysis Decision Support System for Progressing Sustainability. Ecological Complexity, 6, 453-462.
[10]
Golla, V., Etikala, B., Veeranjaneyulu, A., Subbarao, M. and Surekha, A. (2018) Data Sets on the Delineation of Groundwater Potential Zones Identified by Geospatial Tools in Gudur Area, Nellore District, Andhra Pradesh, India. Data in Brief, 20, 1984-1991. https://doi.org/10.1016/j.dib.2018.09.054
[11]
Yeh, H., Cheng, Y., Lin, H. and Lee, C. (2016) Mapping Groundwater Recharge Potential Zone Using a GIS Approach in the Hualian River, Taiwan. Sustainable Environment Research, 26, 33-43. https://doi.org/10.1016/j.serj.2015.09.005
[12]
Adiat, K., Nawawi, M. and Abdullah, K. (2012) Assessing the Accuracy of GIS-Based Elementary Multicriteria Decision Analysis as a Spatial Prediction Tool: A Case of Predicting Potential Zones of Sustainable Groundwater Resources. Journal of Hydrology, 440-441, 75-89. https://doi.org/10.1016/j.jhydrol.2012.03.028
[13]
Abdalla, F. (2012) Mapping of Groundwater Prospective Zones Using Remote Sensing and GIS Technique: A Case Study from the Central Eastern Desert, Egypt. Journal of African Earth Sciences, 70, 8-17.
https://doi.org/10.1016/j.jafrearsci.2012.05.003
[14]
Lee, S., Kim, Y. and Oh, H.J. (2012) Application of a Weights-of-Evidence Method and GIS to Regional Groundwater Productivity Potential Mapping. Journal of Environmental Management, 96, 91-105.
https://doi.org/10.1016/j.jenvman.2011.09.016
[15]
Magesh, N., Chandrasekar, N. and Soundranayagam, J. (2011) Morphometric Evaluation of Papanasam and Manimuthar Watersheds, Parts of Western Ghats, Tirunelveli District, Tamil Nadu, India: A GIS Approach. Environmental Earth Sciences, 64, 373-381. https://doi.org/10.1007/s12665-010-0860-4
[16]
Oh, H., Kim, Y., Choi, J., Park, E. and Lee, S. (2011) GIS Mapping of Regional Probabilistic Groundwater Potential in the Area of Pohang City, Korea. Journal of Hydrology, 399, 158-172. https://doi.org/10.1016/j.jhydrol.2010.12.027
[17]
Ozdemir, A. (2011) GIS-Based Groundwater Spring Potential Mapping in the Sultan Mountains (Konya, Turkey) Using Frequency Ratio, Weights of Evidence and Logistic Regression Methods, and Their Comparison. Journal of Hydrology, 411, 290-308. https://doi.org/10.1016/j.jhydrol.2011.10.010
[18]
Rahman, A. (2008) A GIS-Based DRASTIC Model for Assessing Groundwater Vulnerability in Shallow Aquifer in Aligarh, India. Applied Geography, 28, 32-53.
https://doi.org/10.1016/j.apgeog.2007.07.008
[19]
Das, S., Behera, S., Kar, A., Narendra, P. and Guha, S. (1997) Hydrogeomorphological Mapping in Groundwater Exploration Using Remotely Sensed Data: A Case Study in Keonjhar District, Orissa. Journal of the Indian Society of Remote Sensing, 25, 247-259. https://doi.org/10.1007/BF03019366
[20]
Bathis, I. and Ahmed, S. (2016) Geospatial Technology for Delineating Groundwater Potential Zones in Doddahalla Watershed of Chitradurga District, India. The Egyptian Journal of Remote Sensing and Space Sciences, 19, 223-234.
https://doi.org/10.1016/j.ejrs.2016.06.002
[21]
Oikonomidis, D., Dimogianni, S., Kazakis, N. and Voudouris, K. (2015) A GIS/Remote Sensing-Based Methodology for Groundwater Potentiality Assessment in Tirnavos Area, Greece. Journal of Hydrology, 525, 197-208.
https://doi.org/10.1016/j.jhydrol.2015.03.056
[22]
Mohammady, M., Pourghasemi, H. and Pradhan, B. (2012) Landslide Susceptibility Mapping at Golestan Province, Iran: A Comparison between Frequency Ratio, Dempster-Shafer, and Weights-of-Evidence Models. Journal of Asian Earth Sciences, 61, 221-236. https://doi.org/10.1016/j.jseaes.2012.10.005
[23]
Dar, I., Sankar, K. and Dar, M. (2010) Remote Sensing Technology and Geographic Information System Modeling: An Integrated Approach towards the Mapping of Groundwater Potential Zones in Hardrock Terrain, Mamundiyar Basin. Journal of Hydrology, 394, 285-295. https://doi.org/10.1016/j.jhydrol.2010.08.022
[24]
Ghose, D., Panda, S. and Swain, P. (2010) Prediction of the Water Table in the Western Region, Orissa Using BPNN and RBFN Neutral Networks. Journal of Hydrology, 394, 296-304. https://doi.org/10.1016/j.jhydrol.2010.09.003
[25]
Adiat, K., Olayanju, G., Omosuyi, G. and Ako, B. (2009) Electromagnetic Profiling and Electrical Resistivity Soundings in Groundwater Investigation of a Typical Basement Complex: A Case Study of ODA Town Southwestern Nigeria. Ozean Journal of Applied Sciences, 2, 333-359.
[26]
Magesh, N., Chandrasekar, N. and Soundranayagam, J. (2012) Delineation of Groundwater Potential Zones in the Theni District, Tamil Nadu, Using Remote Sensing, GIS, and MIF Techniques. Geoscience Frontiers, 3, 189-196.
https://doi.org/10.1016/j.gsf.2011.10.007
[27]
Harini, P., Sahadevan, D., Das, I., Manukyamba, C., Durgaprasad, M. and Nandam, M. (2018) Regional Groundwater Assessment of Krishna River Basin Using an Integrated GIS Approach. Journal of the Indian Society of Remote Sensing, 46, 1365-1377. https://doi.org/10.1007/s12524-018-0780-4
[28]
Kumar, K., Chandrasekar, N., Seralathan, P., Godson, P. and Magesh, N. (2011) Hydrogeochemical Study of Shallow Carbonate Aquifers, Rameswaram Island, India. Environmental Monitoring and Assessment, 184, 4127-4138.
https://doi.org/10.1007/s10661-011-2249-6
[29]
Chowdhury, A., Jha, M. and Chowdary, V. (2010) Delineation of Groundwater Recharge Zones and Identification of Artificial Recharge Sites in West Medinipur District, West Bengal, Using RS, GIS, and MCDM Techniques. Environmental Earth Sciences, 59, 1209-1222. https://doi.org/10.1007/s12665-009-0110-9
[30]
Scanion, B., Healy, R. and Cook, P. (2002) Choosing Appropriate Techniques for Quantifying Groundwater Recharge. Hydrology Journal, 10, 18-39.
https://doi.org/10.1007/s10040-001-0176-2
[31]
Barman, R. (2004) The Fishes of the Kolleru Lake, Andhra Pradesh, India, with Comments on Their Conservation. Records of the Zoological Survey of India, 103, 83-89.
[32]
Azeez, P., Kumar, A., Choudhury, B., Sastry, V., Upadhyay, S., Reddy, K. and Rao, K. (2011) Report on the Proposal for Downsizing the Kolleru Wildlife Sanctuary (+5 to +3 Feet Contour). Ministry of Environment and Forests Government of India.
[33]
Sekhar, K., Chary, N., Kamala, C., Raj, S. and Rao, A. (2004) Fractionation Studies and Bioaccumulation of Sediment-Bound Heavy Metals in Kolleru Lake by Edible Fish. Environmental International, 29, 1001-1008.
https://doi.org/10.1016/S0160-4120(03)00094-1
[34]
Rao, A. (2003) Polycyclic Aromatic Hydrocarbons in Sediments from Kolleru Wetland in India. Bulletin of Environmental Contamination and Toxicology, 70, 964-971. https://doi.org/10.1007/s00128-003-0076-3
[35]
Rao, A. and Pillala, R. (2001) The Concentration of Pesticides in Sediments from Kolleru Lake in India. Pest Management Science, 57, 620-624.
https://doi.org/10.1002/ps.336
[36]
(2016) Report on Groundwater Level Scenario in Andhra Pradesh Based on Water Levels Recorded from Piezometers.
[37]
Shaban, A., Khawlie, M. and Abdallah, C. (2006) Use of Remote Sensing and GIS to Determine Recharge Potential Zones: The Case of Occidental Lebanon. Hydrogeology Journal, 14, 433-443. https://doi.org/10.1007/s10040-005-0437-6
[38]
Sehgal, J., Saxena, R. and Vadiyelu, S. (1987) Field Manual. NBSS LUP. Nagpur 73 Stuttgart, Nagpur, 52-55.
[39]
S.S.D. Staff (1995) Soil Survey Manual. No. 18, U.S. Government Printing Office, Washington DC.
[40]
Das, S. (2017) Delineation of Groundwater Potential Zone in Hard Rock Terrain in Gangajalghati Block, Bankura District, India Using Remote Sensing and GIS Techniques. Modeling Earth Systems and Environment, 1589-1599.
https://doi.org/10.1007/s40808-017-0396-7
[41]
Grongroft, A., Landschreiber, L., Classen, N., Duijnisveld, W. and Eschenbach, A. (2012) Combining Field Measurements and Modeling of Soil Water Dynamics to Quantify Groundwater Recharge in Dryland Savanna, Namibia. In: Hydrology of Arid Environments, Borntrager Science, Stuttgart, 52-55.
[42]
Sar, N., Khan, A., Chatterjee, S. and Das, A. (2015) Hydrologic Delineation of Groundwater Potential Zones Using the Geospatial Technique for the Keleghai River Basin, India. Modeling Earth Systems and Environment, 1, 25.
https://doi.org/10.1007/s40808-015-0024-3
[43]
Jhariya, D., Kumar, T., Gobinadh, M., Diwan, P. and Kishore, N. (2016) Assessment of Groundwater Potential Zone Using Remote Sensing, GIS and Multi Criteria Decision Analysis Techniques. Journal of the Geological Society of India, 88, 481-492.
[44]
Magesh, N., Chandrasekar, N. and Soundranayagam, J. (2011) Morphometric Evaluation of Papanasam and Manimuthar Watersheds, Parts of Western Ghats, Tirunelveli District, Tamil Nadu, India: A GIS Approach. Environmental Earth Sciences, 64, 373-381. https://doi.org/10.1007/s12665-010-0860-4
[45]
Burrough, P. (1986) Principles of Geographic Information Systems for Land Resources Assessment. Oxford University Press, New York, 50.
[46]
Dingman, L. (1978) Drainage Density and Streamflow: A Closer Look. Water Resources Research, 14, 1183-1187. https://doi.org/10.1029/WR014i006p01183
[47]
Arulbalaji, P., Padmalal, D. and Sreelash, K. (2019) GIS and AHP Techniques Based Delineation of Groundwater Potential Zones: A Case Study from Southern Western Ghats, India. Scientific Reports, 9, 2082.
https://doi.org/10.1038/s41598-019-38567-x
[48]
Pallard, B., Castellarin, A. and Montanari, A. (2009) A Look at the Links between Drainage Density and Flood Statistics. Hydrology and Earth System Sciences, 13, 1019-1029. https://doi.org/10.5194/hess-13-1019-2009
[49]
Barman, R. (2004) The Fishes of the Kolleru Lake, Andhra Pradesh, India, with Comments on Their Conservation. Records of the Zoological Survey of India, 103, 83-89.
