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Environment, Development and Sustainability

, Volume 21, Issue 2, pp 777–797 | Cite as

GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India

  • Akinchan Singhai
  • Sandipan DasEmail author
  • Ajaykumar K. Kadam
  • J. P. Shukla
  • D. S. Bundela
  • Mahesh Kalashetty
Article

Abstract

The emergent water paucity calls for more resourceful alternatives of water conservation. Rainwater harvesting (RWH) is one of the most capable systems to increase availability of water and agriculture output in the semi-arid regions. Nevertheless, the assessment of RWH potential and selection of appropriate RWH locations pose a great challenge for the water managers due to lacking biophysical data and infrastructure. The present study attempts to assess the RWH potential and identifying probable RWH locations in the Betwa sub-basin using geospatial and multiple criteria decision analysis techniques (MCDA). The spatial theme such as land use land cover was derived by supervised classification method and lineament and drainage by edge enhancement method from Landsat ETM + satellite image and other secondary published maps. The surface runoff was determined from modified Soil Conservation Service Curve Number (SCS-CN) method. These parameters were assigned suitable weights and integrated with a geospatial (GIS) technique to generate RWH site suitability map and to identify possible locations for RWH structures. SCS-CN technique displays that the water-body and built-up areas have high runoff potential, while forest area shows low runoff. The analysis indicates that 5.6% (87.7 km2) is suitable for percolation tanks, 3% (46.6 km2) suitable for farm ponds and for check dams (0.7 km2) of the study area. The study reveals combined methodology of geospatial and MCDA procedures in planning of rainwater harvesting at a regional scale.

Keywords

Rainwater harvesting Remote sensing GIS Multi-criteria analysis 

Notes

Acknowledgements

The authors acknowledge the office of Chief Engineer (BODHI), Bhopal, for providing rainfall data. Authors are thankful to editor and reviewers for evaluating and improving the quality of this manuscript.

References

  1. Abdulla, F., Eshtawi, T., & Assaf, H. (2009). Assessment of the impact of potential climate change on the water balance of a semi-arid watershed. Water Resources Management, 23(10), 2051–2068.Google Scholar
  2. Adamowski, J. (2015). Rainwater harvesting for the management of agricultural droughts in arid and semi-arid regions. Paddy and Water Environment, 14(1), 231–246.Google Scholar
  3. Ahlawat, R. (2010). Space-time variation in rainfall and runoff: Upper Betwa catchment. International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 4(11), 549–555.Google Scholar
  4. Allen, T. (2008). Vegetation, impervious surfaces, soils, and topographic analysis tools: Geospatial technology to promote coastal water quality. ASAE, 16(4), 395–404.Google Scholar
  5. Ammar, A., Riksen, M., Ouessar, M., & Ritsema, C. (2016). Identification of suitable sites for rainwater harvesting structures in arid and semi-arid regions: A review. International Soil and Water Conservation Research.  https://doi.org/10.1016/j.iswcr.2016.03.001.Google Scholar
  6. Chung, E. S., Hong, W. P., Lee, K. S., & Burian, S. J. (2011). Integrated use of a continuous simulation model and multi-attribute decision-making for ranking urban watershed management alternatives. Water Resources Management, 25(2), 641–659.Google Scholar
  7. El-Awar, F. A., Makke, M. K., Zurayk, R. A., & Mohtar, R. H. (2000). A spatial hierarchical methodology for water harvesting in dry lands. Applied Engineering in Agriculture, 16(4), 395–404.Google Scholar
  8. Geetha, K., Mishra, S. K., Eldho, T. I., Rastogi, A. K., & Pandey, R. P. (2007). Modifications to SCS-CN method for long-term hydrologic simulation. Journal of Irrigation and Drainage Engineering, 133(5), 475–486.Google Scholar
  9. IMSD. (1995). Integrated mission for sustainable development technical guidelines. National Remote Sensing Agency, Department of Space, Govt. of India.Google Scholar
  10. Jasrotia, A. S., Majhi, A., & Singh, S. (2009). Water balance approach for rainwater harvesting using remote sensing and GIS techniques, Jammu Himalaya, India. Water Resources Management, 23(14), 3035–3055.Google Scholar
  11. Kadam, A. K., Kale, S. S., Pande, N. N., et al. (2012). Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of Western India, using SCS-CN method. Water Resources Management, 26(9), 2537–2554.Google Scholar
  12. Mahmoud, S. H., & Alazba, A. A. (2016). Delineation of potential sites for rainwater harvesting structures using a GIS-based decision support system. Hydrology Research, 46(4), 591–606.Google Scholar
  13. Mehra, M., Oinam, B., & Singh, C. K. (2016). Integrated assessment of groundwater for agricultural use in Mewat district of Haryana, India using Geographical Information System (GIS). Journal of the Indian Society of Remote Sensing, 44(5), 747–758.Google Scholar
  14. Michel, C., Vazken, A., & Perrin, C. (2005). Soil Conservation Service Curve Number method: How to mend a wrong soil moisture accounting procedure. Water Resources Research, 41, 1–6.Google Scholar
  15. Mishra, S. K., Jain, M. K., Pandey, R. P., & Singh, V. P. (2005). Catchment area based evaluation of the AMC dependent SCS-CN inspired rainfall runoff models. Hydrological Processes, 19(14), 2701–2718.Google Scholar
  16. Mishra, S. K., Jain, M. K., & Singh, V. P. (2004). Evaluation of the SCS-CN-based model incorporating antecedent moisture. Water Resources Management, 18, 567–589.Google Scholar
  17. Mishra, S. K., & Singh, V. P. (2003). Soil Conservation Service Curve Number (SCS-CN) methodology. Berlin: Springer Science & Business Media.Google Scholar
  18. Mishra, S. K., Tyagi, J. V., Singh, V. P., & Singh, R. (2006). SCS-CN-based modeling of sediment yield. Journal of Hydrology, 324(1–4), 301–322.Google Scholar
  19. Mondal, M. S., Pandey, A. C., & Garg, R. D. (2009). Groundwater prospects evaluation based on hydrogeomorphological mapping using high resolution satellite images: A case study in Uttarakhand. Journal of the Indian Society of Remote Sensing, 36, 69–76.Google Scholar
  20. Moon, S. H., Lee, J. Y., Lee, B. J., Park, K. H., & Jo, Y. J. (2012). Quality of harvested rainwater in artificial recharge site on Jeju volcanic island, Korea. Journal of Hydrology, 414–415, 268–277.Google Scholar
  21. Napoli, M., Cecchi, S., Orlandini, S., & Zanchi, C. A. (2014). Determining potential rainwater harvesting sites using a continuous runoff potential accounting procedure and GIS techniques in central Italy. Agricultural Water Management, 141, 55–65.Google Scholar
  22. NEH. (1985). National engineering handbook section 4 hydrology. Washington, DC: U.S. Department of Agriculture.Google Scholar
  23. Pandey, D. N., Gupta, A. K., & Anderson, D. M. (2003). Rainwater harvesting as an adaptation to climate change. Current Science, 85(1), 10.Google Scholar
  24. Pandey, R. P., Mishra, S. K., Singh, R., & Ramasastri, K. S. (2008). Streamflow drought severity analysis of Betwa river system (India). Water Resources Management, 22(8), 1127–1141.Google Scholar
  25. Pawar, N. J., Pawar, J. B., Kumar, S., & Supekar, A. (2008). Geochemical eccentricity of ground water allied to weathering of basalt from the Deccan volcanic province, India: Insinuation on CO2 consumption. Aquatic Geochemistry, 14(1), 41–71.Google Scholar
  26. Pawattana, C., & Tripathi, N. K. (2008). Analytical Hierarchical Process (AHP) based flood water retention planning in Thailand. GIScience & Remote Sensing, 45(3), 343–355.Google Scholar
  27. Pradesh, A., Patel, P., Raju, N. J., & Raja, B. C. S. (2016). Geochemical processes and multivariate statistical analysis for the assessment of groundwater quality in the Swarnamukhi. Environmental Earth Sciences, 75, 1–24.Google Scholar
  28. Rallison, R. E. (1980). Origin and evolution of the SCS runoff equation. In Proceedings of the ASCE Irrigation and Drainage Division Symposium on Watershed Management, Vol. 11, pp. 912–24.Google Scholar
  29. Ramakrishna, D., Durga Rao, K. H. V., & Tiwari, K. C. (2008). Delineation of potential sites for water harvesting structures through remote sensing and GIS techniques: A case study of Kali watershed, Gujarat, India. Geocarto International, 23(2), 95–108.Google Scholar
  30. Sazakli, E., Alexopoulosb, A., & Leotsinidis, M. (2007). Rainwater harvesting, quality assessment and utilization in Kefalonia Island, Greece. Water Research, 41(9), 2039–2047.Google Scholar
  31. SCS. (1985). National engineering handbook, section 4, hydrology. Washington, DC: Soil Conservation Service (SCS), US Department of Agriculture.Google Scholar
  32. Singh, V. P. (1992). Elementary hydrology. Prentice-Hall of India Private Limited: New Delhi.Google Scholar
  33. Singh, P. K., Mishra, S. K., Berndtsson, R., et al. (2015). Development of a modified SMA based MSCS-CN model for runoff estimation. Water Resources Management, 29(11), 4111–4127.Google Scholar
  34. Stuebe, M. M., & Johnston, D. M. (1990). Runoff volume estimation using GIS techniques. Water Resources Bulletin, 26(4), 611–620.Google Scholar
  35. Subramanya, K. (2008). Engineering hydrology. New Delhi: Tata McGraw-Hill Publishing Company Limited.Google Scholar
  36. Tsheko, R. (2006). Comparison between the United States Soil Conservation Service (SCS) and the two models commonly used for estimating rainfall-runoff in south-eastern Botswana. Water SA, 32(1), 29–36.Google Scholar
  37. Vohland, K., & Barry, B. (2009). A review of in situ rainwater harvesting (RWH) practices modifying landscape functions in African drylands. Agriculture, Ecosystems & Environment, 131(3–4), 119–127.Google Scholar
  38. Weersinghe, H., Schneider, U. A., & Low, A. (2010). Water harvest and storage-location optimization model using GIS and remote sensing. Hydrology and Earth System Sciences, 8, 3353–3381.Google Scholar
  39. Winnaar, G., Jewitt, G. P. W., & Horan, M. (2007). A GIS-based approach for identifying potential runoff harvesting sites in the Thukela River basin, South Africa. Physics and Chemistry of the Earth, 34(15–18), 767–775.Google Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  1. 1.Gramin Vikas TrustNoidaIndia
  2. 2.Symbiosis Institute of Geo-informatics (SIG)Symbiosis International UniversityPuneIndia
  3. 3.Department of Environmental ScienceSavitribai Phule Pune UniversityPuneIndia
  4. 4.Advanced Material Process Research InstituteCSIRBhopalIndia
  5. 5.Central Soil Salinity Research InstituteICARKarnalIndia

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