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Natural hazard assessment and mapping using remote sensing and QGIS tools for Mumbai city, India


Flooding and water logging possess severe hazards to human population in many parts of the world. Mumbai, the study area, is one of the cities in India and has been frequently affected by floods and landslides causing heavy loss of life and property. Enormous concretization and 150-year-old storm water drainage system of Mumbai have led to water logging and flood-like conditions which leads to natural hazard. The objective of this study is to identify the flood and landslide spots and to prepare the map by using GIS software. The study also consists of comparing potential of QGIS and Arc-GIS software in the form of data analysis and thematic map creation. From this study, it is clear that large-scale reshaping took place to complete the reclamation project which makes all those areas prone to various hazards. In assessment of flood and landslide spots, many significant points were revealed: the average elevation of Mumbai is 14 m, and also majority of the flood spots have an elevation range between 5 and 14 m. The analysis of the database generated in QGIS software also revealed that significant numbers of flood spots are mostly found in the reclamation zone and the landslide spots near base of hill. This study indicates that the current situation may trigger disastrous conditions in the future which need intervention from government bodies, institutions and NGOs to prepare proper disaster management plans to help mitigate this situation. To mitigate the problem of water logging, it is required to drain off the water into the ground. Pervious concrete is the best solution for it but for its implementation detailed database of the waterlogged area is required.

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  1. Alaghmand S, Abdullah RB, Abustan I, Vosoogh B (2010) GIS-based river flood hazard mapping in urban area (a case study in Kayu Ara River Basin, Malaysia). Int J Eng Technol 2(6):488–500

  2. Anbazhagan S, Chatterjee A, Sethupathi AS, Guru Balamurugan, Ramesh V (2013) Remote sensing and GIS for landslide hazard mapping: case study from Mumbai, India. In: Singh RA (ed) Landslides and environmental degradation, Gyanodaya Prakashan, Nainital, pp 89–106. ISBN: 81-85097-90-9

  3. Ansari MK, Ahmad M, Singh R, Singh TN (2014) Rockfall hazard rating system along SH-72: a case study of Poladpur-Mahabaleshwar road (Western India), Maharashtra, India. Geomat Nat Hazards Risk 7:649–666

  4. Büchele B, Kreibich H, Kron A, Thieken A, Ihringer J, Oberle P, Merz B, Nestmann F (2006) Flood-risk mapping: contributions towards an enhanced assessment of extreme events and associated risks. Nat Hazards Earth Syst Sci 6(4):485–503

  5. Casale R, Margottini C (1999) Floods and landslides: integrated risk assessment. Springer, Berlin, pp 147–189

  6. Cruden DM (1991) A simple definition of a landslide. Bull Int As Eng Geol 43:27–29.

  7. Dewan AM, Kumamoto T, Nishigaki M (2006) Flood hazard delineation in greater Dhaka, Bangladesh using an integrated GIS and remote sensing approach. Geocarto Int 21(2):33–38

  8. Fact Finding Committee (FFC) (2006) Maharashtra state Govt. Committee Report, pp 31–130 (unpublished)

  9. Fernandez DS, Lutz MA (2010) Urban flood hazard zoning in Tucman Province, Argentina, using GIS and multi criteria decision analysis. Eng Geol 11:90–98

  10. Government of Maharashtra (2006) Fact Finding Committee on Mumbai floods; Chitale Committee Report; Government of Maharashtra, India

  11. Gupta K (2007) Urban flood resilience planning and management and lessons for the future: a case study of Mumbai, India. Urban Water J 4(3):183–194

  12. Hallegatte S et al (2010) Flood risks, climate change impacts and adaptation benefits in Mumbai: an initial assessment of socio-economic consequences of present and climate change induced flood risks and of possible adaptation options. Environment Working Papers, No. 27, Technical Report. OECD Publishing

  13. Hammond MJ, Chen AS, Djordjevic S, Butler D, Mark O (2013) Urban flood impact assessment: a state of the art review. Urban Water J 12(1):14–29

  14. Jonkman S (2005) Global perspectives on loss of human life caused by floods. Nat Hazard 34(2):151–175

  15. Khamkar DJ, Mhaske SY (2019) Identification of landslide susceptible settlements using geographical information system of Yelwandi river basin, Maharashtra (India). Nat Hazards 96(3):1263–1287

  16. Lastra J, Fernandez E, Diez-herrero A, Marquinez J (2008) Flood hazard delineation combining geomorphological and hydrological methods: an example in the Northern Iberian Peninsula. Nat Hazards 45:277–293.

  17. Melesse AM, Shih SF (2002) Spatially distributed storm runoff depth estimation using Landsat images and GIS. Comput Electron Agric 37:173–183

  18. Mhaske S, Choudhury D (2010) GIS-based soil liquefaction susceptibility map of Mumbai city for earthquake events. J Appl Phys 70:216–225

  19. Mitchell JK (2003) European river floods in a changing world. Risk Anal 23(3):567–574

  20. Monograph (2010) Monograph on flood hazard in urban area. The development plan for Mumbai. ENVIS Center on Human Settlements School of Planning and Architecture, New Delhi.

  21. Owrangi AM, Lannigan R, Simonovic SP (2014) Interaction between land-use change flooding and human health in Metro Vancouver Canada. Nat Hazards.

  22. Patel DP, Gajjar CA, Srivastava PK (2012) Prioritization of Malesari mini-watersheds through morphometric analysis: a remote sensing and GIS perspective. Environ Earth Sci.

  23. Sadrolashrafi SS, Mohamed TA, Mahmud ARB, Kholghi MK, Samadi A (2008) Integrated modeling for flood hazard mapping using watershed modeling system. Am J Eng Appl Sci 1:149–156

  24. Sajinkumar KS, Anbazhagan S (2014) Geomorphic appraisal of landslides on the windward slope of Western Ghats, southern India. Nat Hazards 75:953–973.

  25. Sajinkumar KS, Anbazhagan S, Rani VR, Muraleedharan C (2013) A paradigm quantitative approach for a regional risk assessment and management in a few landslide prone hamlets along the windward slope of western ghats, India. Int J Disaster Risk Reduct.

  26. Sansare DA, Mhaske SY (2018) Analysis of land use land cover change and its impact on peak discharge of storm water using GIS and remote sensing: a case study of Mumbai City, India. Int J Civ Eng Technol (IJCIET) 9(11):1753–1762

  27. Sansare DA, Mhaske SY (2019a) Natural Disaster analysis and mapping using remote sensing and QGIS tools for F-North ward, Mumbai city, India. Disaster Adv 12(1):40–50

  28. Sansare DA, Mhaske SY (2019b) Risk analysis and mapping of natural disaster using QGIS tools for Mumbai City. Disaster Adv 12(10):14–25

  29. Sharma VK (1996) A probabilistic approach of landslide zonation mapping in Garhwal Himalaya. In: Proceedings international symposium on landslides, Trondheim, pp 381–386

  30. Tingsanchali T, Karim MF (2005) Flood hazard and risk analysis in the southwest region of Bangladesh. Hydrol Process 19:2055–2069

  31. Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. In: Natural hazards. UNESCO, Paris, pp 1–63

  32. Zope PE (2016) Integrated urban flood management with flood models, hazard, vulnerability and risk assessment. Unpublished Ph.D. thesis, Department of Civil Engineering, I.I.T. Bombay, Mumbai

  33. Zope PE, Eldho TI, Jothiprakash V (2015) Impacts of urbanization on flooding of coastal urban catchment: a case study of Mumbai City, India. J Nat Hazards 75:887–908

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The authors are grateful for the data and the cooperation from the Municipal Corporation of Greater Mumbai (MCGM) and VJTI, Mumbai for this study. Also thankful to Dr. Babasaheb Ambedkar Research and Training Institute (BARTI) for awarding fellowship for Ph.D. research purpose.

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Correspondence to Darshan Anil Sansare.

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Sansare, D.A., Mhaske, S.Y. Natural hazard assessment and mapping using remote sensing and QGIS tools for Mumbai city, India. Nat Hazards 100, 1117–1136 (2020).

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  • QGIS
  • Arc-GIS
  • SWD
  • Flood spots
  • Landslide spots
  • Thematic maps