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Identification of erosional and inundation hazard zones in Ken–Betwa river linking area, India, using remote sensing and GIS

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Abstract

Ken–Betwa river link is one of the pilot projects of the Inter Linking of Rivers program of Government of India in Bundelkhand Region. It will connect the Ken and Betwa rivers through a system of dams, reservoirs, and canals to provide storage for excess rainfall during the monsoon season and avoid floods. The main objective of this study is to identify erosional and inundation prone zones of Ken–Betwa river linking site in India using remote sensing and geographic information system tools. In this study, Landsat Thematic Mapper data of year 2005, digital elevation model from the Shuttle Radar Topographic Mission, and other ancillary data were analyzed to create various thematic maps viz. geomorphology, land use/land cover, NDVI, geology, soil, drainage density, elevation, slope, and rainfall. The integrated thematic maps were used for hazard zonation. This is based on categorizing the different hydrological and geomorphological processes influencing the inundation and erosion intensity. Result shows that the southern part of the study area which lies in Panna district of Madhya Pradesh, India, is more vulnerable than the other areas.

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References

  • Ahmad, S. M. (1984). Hydrogeological investigations for augmenting water supply in drought affected areas of Banda District, Uttar Pradesh, Central Ground Water Board. Unpublished report, Lucknow, India.

  • Athavale, R. N., Murti, C. S., & Chand, R. (1980). Estimation of recharge to the phreiatic aquifers of lower Maner Basin, India by using tritium injection method. Journal of Hydrology, 45, 185–202.

    Article  Google Scholar 

  • Avtar, R., Singh, C. K., Shashtri, S., Singh, A., & Mukherjee, S. (2010). Identification and analysis of groundwater potential zones in Ken–Betwa river linking area using remote sensing and geographic information system. Geocarto International, 25, 379–396.

    Article  Google Scholar 

  • Belton, V., & Stewart, T. J. (2002). Multiple criteria decision analysis: An integrated approach. Dordrecht: Kluwer.

    Google Scholar 

  • Bhatt, C. M., Litoria, P. K., & Sharma, P. K. (2008). Geomorphic signatures of active tectonics in Bist Doab interfluvial tract of Punjab, NW India. Journal of the Indian society of remote sensing, 36(4), 361–373.

    Article  Google Scholar 

  • Cevik, E., & Topal, T. (2003). GIS-based landslide susceptibility mapping for a problematic segment of the natural pipeline, Hendek (Turkey). Environmental Geology, 44(8), 949–962.

    Article  Google Scholar 

  • Collins, D. N. (1998). Rainfall-induced high-magnitude runoff events in highly-glacierized Alpine basins. Hydrology, water resources and ecology in headwaters. IAHS Publication, 248, 69–79.

    CAS  Google Scholar 

  • De Roo, A. P. J. (1996). Soil erosion assessment using GIS. Geographical information systems in hydrology (Vol. 26, pp. 339–356). Dordrecht: Kluwer Academic Publishers.

    Google Scholar 

  • ESRI (2006). ArcMap version9.1. Environmental Systems Research Institute (ESRI), Redlands, CA.

  • Fistikoglu, O., & Harmancioglu, N. B. (2002). Integration of GIS with USLE in assessment of soil erosion. Water Resources Management, 16, 447–467.

    Article  Google Scholar 

  • Gurjar, B. R. (2003). Interlinking of rivers: A climatic viewpoint. Current Science, 84(11), 1381–1382.

    Google Scholar 

  • Heywood, I., Cornelius, S., & Carver, S. (2000). An introduction to geographical information systems. Reading: Addison Wesley Longman.

    Google Scholar 

  • Hooke, J. M. (2007). Complexity, self-organisation and variation in behavious in meandering rivers. Geomorphology, 91(3–4), 236–258.

    Article  Google Scholar 

  • Hortan, R. E. (1945). Erosional development of streams and their drainage basins: Hydrophysical approach to quantitative morphology. Bulletin of the Geological Society of America, 56, 275–375.

    Article  Google Scholar 

  • James, W. (1999). Analysis of global and regional slope distributions for Venus. In 30th Lunar and planetary science conference. Houston, Texas.

  • Jasrotia, A. S., Dhiman, S. D., & Aggarwal, S. P. (2002). Rainfall–runoff and soil erosion modeling using remote sensing and GIS technique—A case study of Tons watershed. Journal of the Indian Society of Remote Sensing, 30(3), 167–179.

    Article  Google Scholar 

  • Jasrotia, A. S., & Singh, R. (2006). Modeling runoff and soil erosion in a catchments using GIS, in Himalayan region. Environmental Geology, International Journal of Geosciences, 51(1), 143–150.

    Google Scholar 

  • Jensen, J. R. (2000). Remote sensing of the environment. New Jersey: Prentice Hall Publication.

    Google Scholar 

  • Jenson, S. K., & Domingue, J. O. (1988). Extracting topographic structures from digital elevation data for geographic information system analysis. Photogrammetric Engineering and Remote Sensing, 54, 1593–1600.

    Google Scholar 

  • Joshi, V. U., & Tambe, D. T. (2010). Estimation of infiltration rate, run-off and sediment yield under simulated rainfall experiments in upper Pravara basin, India: Effect of slope angle and grass-cover. Journal of Earth System Science, 119(6), 763–773.

    Article  Google Scholar 

  • Khare, D., Jat, M. K., & Sunder, J. D. (2007). Assessment of water resources allocation options: Conjunctive use planning in a link canal command. Resources, Conservation and Cycling, 51(2), 487–506.

    Article  Google Scholar 

  • Krueger, K. (2007). Assessment of the India river linking plan: A closer look at the Ken–Betwa pilot link. M.Sc. Dissertation, University of Michigan.

  • Lal, R. (1994). Soil erosion by wind and water: Problems and prospects. In R. Lal (Ed.), Soil erosion research methods (2nd Edn.). Ankeny: Soil and Water Conservation Society and St. Lucie Press.

    Google Scholar 

  • Lillesand, T. M., & Keifer, R. W. (2006). Remote sensing and image interpretation. New York: Wiley.

    Google Scholar 

  • Mathur, S. M. (1982). Prrecambrian sedimentary sequences of India: Their geochronology and correlation. Precambrian Research, 18, 139–144.

    Article  CAS  Google Scholar 

  • Morgon, R. P. C. (2005). Soil erosion and conservation. Harlow: Longman.

    Google Scholar 

  • Morgan, R. P. C., & Davidson, D. A. (1991). Soil erosion and conservation. U.K.: Longman Group.

    Google Scholar 

  • Millward, A. A., & Mersey, J. E. (1999). Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena, 38, 109–129.

    Article  Google Scholar 

  • Mishra, A. K., Saxena, A., Yaduvanshi, M., Mishra, A., Bhadauriya, Y., & Thakur, A. (2007). Proposed river-linking project of India: A boon or bane to nature. Environmental Geology, 51, 1361–1376.

    Article  Google Scholar 

  • Molina, A., Govers, G., Poesen, J., Hemelryck, H. V., Bievre, B. D., & Vanacker, V. (2008). Environmental factors controlling spatial variation in sediment yield in a central Andean mountain area. Geomorphology, 98, 176–186.

    Article  Google Scholar 

  • Mukherjee, S. (1991). Ground water appraisal report Hamirpur District Uttar Pradesh, remote sensing applications centre (pp. 4–9). Unpublished Technical report no. RSAC; GED91: 02, UPRSAC: Lucknow, Uttar Pradesh, India.

  • Mukherjee, S., Veer, V., Tyagi, S. K., & Sharma, V. (2007). Sedimentation study of Hirakund reservoir through remote sensing techniques. Journal of Spatial Hydrology, 7(1), 122–130.

    Google Scholar 

  • National Water Development Agency (NWDA) (2005). Environmental effects on linking of Rivers.

  • National Water Development Agency (NWDA) (2007). Ken–Betwa link project feasibility report.

  • Ozhan, S., Balci, A. N., Ozyuvaci, N., Hizal, A., Gokbulak, F., & Serengil, Y. (2005). Cover and management factors for the universal soil-loss equation for forest ecosystems in the Maramara region, Turkey. Forest Ecology and Management, 1–3, 118–123.

    Article  Google Scholar 

  • Pachauri, A. K., Gupta, P. V., & Chander, R. (1998). Landslide zoning in a part of the Garwal Himalayas. Environmental Geology, 36(3–4), 325–334.

    Article  Google Scholar 

  • Pandey, A., Chowdary, V. M., & Mal, B. C. (2007). Identification of critical prone areas in the small agricultural watershed suing USLE, GIS and remote sensing. Water Resource Management, 21, 729–746.

    Article  Google Scholar 

  • Pandey, A., Chowdary, V. M., Mal, B. C., & Dabral, P. P. (2010). Remote sensing and GIS for identification of suitable sites for soil and water conservation structures. Land Degradation and Development. doi:10.1002/ldr.1012.

    Google Scholar 

  • Pakhmode, V., Kulkarni, H., & Deolankar, S. B. (2003). Hydrological-drainage analysis in watershed-programme planning: A case from Deccan basalt, India. Hydrogeology Journal, 11, 595–604.

    Article  Google Scholar 

  • Raghavendra Reddy, M. G., Reddy, G. P. O., Maji, A. K., & Rao, K. N. (2003). Landscape analysis for pedo-geomorphological characterization in basaltic terrain, central India using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 31(2), 271–282.

    Article  Google Scholar 

  • Reddy, S. (2007). Hydro-Geomorphic impact assessment of Ken–Betwa interlinking project. M.Tech. Dissertation, Indian Institute of Technology, Kanpur.

  • Reusing, M., Schneider, T., & Ammer, U. (2000). Modelling soil loss rates in the Ethiopian highlands by integration of high resolution MOMS-02/D2-stereo-data in a GIS. Journal of Remote Sensing, 21, 1885–1896.

    Article  Google Scholar 

  • Sharma, H. S. (1979). The physiography of lower Chambal valley and its agricultural development. New Delhi: Concept Publication.

    Google Scholar 

  • Singh, R., & Phadke, V. S. (2007). Assessing soil loss by water erosion in Jamni River Basin, Bundelkhand region, India, adopting universal soil loss equation using GIS. Current Science, 90(10), 1431–1435.

    Google Scholar 

  • Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses. USDA agricultural research service handbook, 537.

  • Wisler, C. O., & Brater, B. F. (1959). Hydrology. Wiley: New York.

    Google Scholar 

  • World Water Council (2000). A water secure world; vision for water, life, and the environment. Marseille: World Water Council.

    Google Scholar 

Download references

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Correspondence to Saumitra Mukherjee.

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Avtar, R., Singh, C.K., Shashtri, S. et al. Identification of erosional and inundation hazard zones in Ken–Betwa river linking area, India, using remote sensing and GIS. Environ Monit Assess 182, 341–360 (2011). https://doi.org/10.1007/s10661-011-1880-6

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  • DOI: https://doi.org/10.1007/s10661-011-1880-6

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