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A Case Study on Watershed Study for Flood Mitigation of Belgavi Region, Karnataka, India using ArcGIS


Affiliations
1 Department of Civil Engineering, East Point College of Engineering & Technology, Bengaluru - 560 049, India
2 East Point College of Engineering & Technology, Bengaluru - 560 049, India

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During the monsoon season, many regions in India are prone to floods among which Belagavi district, Karnataka (the study area) is one of the most affected. It has suffered huge lives and property losses. This study focuses on areas of rainfall analysis, watershed area mapping, flood vulnerable areas mapping and possible mitigation measures. DEM analysis is used to understand flood risk assessment. The rainfall data is collected for three taluks which are more prone to flood. These are Athani, Chikodi, and Raibagh in Belgavi regions. The study area was analyzed by generating maps for soil type, lithology, geomorphology, land use, and land cover using ArcGIS software. Maps were obtained for the percentage of land contributing to each attribute. Further flood vulnerability mapping has to be done by creating weightage map considering factors such as drainage density, soil type,, precipitation, land use land cover, slope, and watershed compressed together by weighted overlay analysis, and the flood hazard zone map is developed to classify the areas into zones according to the risk of flooding which helps to suggest various non-structural mitigation measures.

Keywords

DEM Analysis, Flood Mitigation, Flood Vulnerability, Geomorphology, Rainfall Analysis.

Publishing Chronology: Manuscript Received : October 10, 2022 ; Revised : October 28, 2022 ; Accepted : November 6, 2022. Date of Publication : December 5, 2022.

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  • N. N. Kourgialas and G. P. Karatas, “Flood management and a GIS modelling method to assess flood-hazard areas—a case study,” Hydrological Sciences J., vol. 56, no. 2, 2011, doi: 10.1080/02626667.2011.555836.

  • Z. W. Kundzewicz, “Flood risk and climate change: Global and regional perspectives,” Hydrological Sciences .J,vol. 59, no. 1, 2014, doi: 10.1080/02626667.2013.857411.

  • Z. W. Kundzewicz, “Changes in flood risk in Europe,” 2012. Wallingford: IAHS Press.

  • R. S. Ajin, R. R. Krishnamurthy, M. Jayaprakash, and Vinod, P. G., “Flood hazard assessment of Vamanapuram River Basin, Kerala, India: An approach using Remote Sensing and GIS techniques,” Advances Applied Sci. Res., vol. 4, no. 3, pp. 263–274, 2013. https://www.primescholars.com/articles/flood-hazard-assessment-of-vamanapuram-river-basin-kerala-indiaan-approach-using-remote-sensing--gis-techniques.pdf

  • D. D. Konadu and C. Fosu, “Digital elevation models and GIS for watershed modelling and flood prediction – A case study of Accra Ghana,” Appropriate Technologies Environmental ProtectionDeveloping World, pp. 325–332, 2009, doi: 10.1007/978-1-4020-9139-1_31.

  • S. Bajabaa, M. Masoud, and N. Al-Amri, “Flash flood hazard mapping based on quantative hydrology. geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia). Arabian J. Geosciences, 7, pp. 2469–2481, 2013, doi: 10.1007/s12517-013-0941-2.

  • A. D. Pawar, J. Sarup, and S. K. Mittal, “Review of flood management techniques,” paper presented at Nat. Conf. Climate Change Sustain. Water Resour. Manage. (CSWM-2015), 2015.

  • D. G. Hadjimitsis, “Integrated remote sensing and GIS applications for sustainable watershed management. A case study from Cyprus,” Remote Sens. Environ. Integr. Approaches, 2012.

  • S. P. Aggarwal, P. K. Thakur, and V. K. Dadhwal, “Remote sensing and GIS applications in flood management,” 2009. [Online]. Available: https://www.researchgate.net/publication/230660751_Remote_sensing_and_GIS_Applications_in_Flood_Management

  • O. Singh, and M. Kumar, “Flood occurrences, damages, and management challenges in India: A geographical perspective,”Arabian J. Geosciences, Article no. 102, 2017, doi: 10.1007/s12517-017-2895-2.

  • E. K. Forkuo, “Digital terrain modelling in a GIS environment,” Int. Arch. Photogrammetry, Remote Sens. Spatial Inf. Sciences, 37(B2), pp. 1023–1029, 2008.

  • K. McDougall, X. Liu, B. Badri, and A. Apan, “Evaluation of current DEM accuracy for condamine catchment,” in Proc. 8th Int. Symp. Spatial Accuracy Assessment Natural Resour. Environmental Sciences. In: Accuracy in geomatics. World Academic Union, Liverpool, England.

  • B. Huaxing, L. Xiaoyin, and G. Mengxia, “Digital terrain analysis based on DEM,” Frontiers Forestry China, 1, 54–58, 2006, doi: 10.1007/s11461-005-0002-4.

  • I. Elkhrachy, “Flash flood hazard mapping using satellite images and GIS Tools: A case study of Najran City, Kingdom of Saudi Arabia (KSA),” Egyptian J. Remote Sens. Space Sci., vol. 18, no. 2, pp. 261–278, 2015, doi: 10.1016/j.ejrs.2015.06.007.


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  • A Case Study on Watershed Study for Flood Mitigation of Belgavi Region, Karnataka, India using ArcGIS

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Authors

Geena George
Department of Civil Engineering, East Point College of Engineering & Technology, Bengaluru - 560 049, India
M. Bhavyashree
East Point College of Engineering & Technology, Bengaluru - 560 049, India

Abstract


During the monsoon season, many regions in India are prone to floods among which Belagavi district, Karnataka (the study area) is one of the most affected. It has suffered huge lives and property losses. This study focuses on areas of rainfall analysis, watershed area mapping, flood vulnerable areas mapping and possible mitigation measures. DEM analysis is used to understand flood risk assessment. The rainfall data is collected for three taluks which are more prone to flood. These are Athani, Chikodi, and Raibagh in Belgavi regions. The study area was analyzed by generating maps for soil type, lithology, geomorphology, land use, and land cover using ArcGIS software. Maps were obtained for the percentage of land contributing to each attribute. Further flood vulnerability mapping has to be done by creating weightage map considering factors such as drainage density, soil type,, precipitation, land use land cover, slope, and watershed compressed together by weighted overlay analysis, and the flood hazard zone map is developed to classify the areas into zones according to the risk of flooding which helps to suggest various non-structural mitigation measures.

Keywords


DEM Analysis, Flood Mitigation, Flood Vulnerability, Geomorphology, Rainfall Analysis.

Publishing Chronology: Manuscript Received : October 10, 2022 ; Revised : October 28, 2022 ; Accepted : November 6, 2022. Date of Publication : December 5, 2022.


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DOI: https://doi.org/10.17010/ijce%2F2022%2Fv5i2%2F172605