Skip to main content
SpringerLink
Log in

Climate change and vulnerability assessment in Mousuni Island: South 24 Parganas District

  • Published:
Spatial Information Research Aims and scope Submit manuscript

Abstract

This paper is an endeavor to assess the impact of climate change on physical, ecological and socio economic vulnerability of Mousuni Island which is one of the 10 most vulnerable ocean-confronting Islands in South 24 Parganas District of West Bengal according to WWF India, 2010. Landsat imageries have been analyzed to identify shoreline changes; Spectral Radiance Model and Split Window Algorithm have been executed for land surface temperature change analysis and supervised classification is employed for detecting landuse alteration. Flood prone area has been worked out from modified normalized difference water index and SRTM DEM dataset. Normalized difference vegetation index and normalized difference salinity index are also employed to find out change in forest cover and salinity respectively. Socio-economic vulnerability has been identified by primary survey and secondary data sources. The result indicates that climate change causes vulnerability of life processes of rural folk forcing them to become ecological refugees.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. USGCRP. (2009). Global Climate Change Impacts in the United States. https://nca2009.globalchange.gov/.

  2. The World Bank. (2015). Poverty and Climate Change Reducing the Vulnerability of the Poor through Adaptation https://www.oecd.org/env/cc/2502872.pdf.

  3. Adger, W.N., Brooks, N., Bentham, G., Agnew, M. & Eriksenet, S. (2004). New indicators of vulnerability and adaptive capacity. Tyndall Centre for Climate Change Resource, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.2300.

  4. Kapoor, A. (2011). Engendering the Climate for Change. Alternative Futures and Heinrich Boll Foundation http://www.alternativefutures.org.in/userfiles/Engendering%20the%20Cilmate%20for%20Change.pdf.

  5. Water Resources Information System, India, http://india-wris.nrsc.gov.in.

  6. World Health Organization, (2014). Gender, climate change and health. World Health Organization http://www.who.int/globalchange/publications/reports/gender_climate_change/en/.

References

  1. Khan, M. Z. A., & Gangawala, S. (2011). Global climate change: Causes and consequences. Jaipur: Rawat Publications.

    Google Scholar 

  2. Lal, D. S. (2015). Climatology. Allahabad: Sharada Pustaka Bhavan.

    Google Scholar 

  3. Mertz, O., Halsnes, K., Olesen, J. E., & Rasmussen, K. (2009). Adaptation to climate change in developing countries. Environmental Management, 43(5), 743–752. https://doi.org/10.1007/s00267-008-9259-3.

    Article  Google Scholar 

  4. Welp, M., Battaglini, A., & Faeger, C. C. (2009). Defining dangerous climate change: The Bejing experience. In A. G. Patt, D. Schroter, R. J. T. Klein, & V. A. C. Leinert (Eds.), Assessing vulnerability to global environmental change. London: Earthscan.

    Google Scholar 

  5. McGuigan, C., Reynolds, R., & Wiedmer, D. (2002). Poverty and climate change: assessing impacts of the international community. London School of Economics Consultancy Project for The Overseas Development Institute.

  6. Füssel, H. M., & Klein, R. J. (2006). Climate change vulnerability assessments: An evolution of conceptual thinking. Climatic Change, 75(3), 301–329. https://doi.org/10.1007/s10584-006-0329-3.

    Article  Google Scholar 

  7. Füssel, H. M. (2007). Vulnerability: A generally applicable conceptual framework for climate change research. Global Environmental Change, 17(2), 155–167. https://doi.org/10.1016/j.gloenvcha.2006.05.002.

    Article  Google Scholar 

  8. Dasgupta, R., & Shaw, R. (2015). An indicator based approach to assess coastal communities’ resilience against climate related disasters in Indian sundarbans. Journal of Coastal Conservation, 19, 85–101. https://doi.org/10.1007/s11852-014-0369-1.

    Article  Google Scholar 

  9. Pandey, V. P., Manandhar, S., & Kazama, F. (2014). Climate Change and Vulnerability Assessment. In S. Shrestha, M. S. Babel, & V. P. Pandey (Eds.), Climate change and water resources (pp. 183–208). NW: Taylor and Francis Group.

    Chapter  Google Scholar 

  10. Hazra, S., Ghosh, T., DasGupta, R., & Sen, G. (2002). Sea level and associated changes in the sundarbans. Science and Culture, 68, 309–321.

    Google Scholar 

  11. Cutter, S. L. (1996). Vulnerability to environmental hazards. Progress in Human Geography, 20, 529–539. https://doi.org/10.1177/030913259602000407.

    Article  Google Scholar 

  12. Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003). Social vulnerability to environmental hazards. Social Science Quarterly, 84, 242–261. https://doi.org/10.1111/1540-6237.8402002.

    Article  Google Scholar 

  13. McMillin, L. M. (1975). Estimation of sea surface temperatures from two infrared window measurements with different absorption. Journal of Geophysical Research, 80, 5113–5117. https://doi.org/10.1029/JC080i036p05113.

    Article  Google Scholar 

  14. Sahana, M., Ahmed, R., & Sajjad, H. (2016). Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in sundarban biosphere reserve, India. Modeling Earth Systems and Environment, 2(2), 1–11. https://doi.org/10.1007/s40808-016-0135-5.

    Article  Google Scholar 

  15. Allbed, A., & Kumar, L. (2013). Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: A review. Advanced Remote Sensing, 2, 373–385. https://doi.org/10.4236/ars.2013.24040.

    Article  Google Scholar 

  16. Goel, N. K., Than, H. H., Arya, D. S. (2005). Flood hazard mapping in the lower part of Chindwin River Basin, Myanmar. In Proceedings of the international conference on innovation advances and implementation of flood forecasting technology. Tromso.

  17. Hjerdt, K., McDonnell, J., Seibert, J., & Rodhe, A. (2004). A new topographic index to quantify downslope controls on local drainage. Water Resources Research. https://doi.org/10.1029/2004WR003130.

    Google Scholar 

  18. Bastiaanssen, W. G., Molden, D. J., & Makin, I. W. (2000). Remote sensing for irrigated agriculture: Examples from research and possible applications. Agricultural Water Management, 46, 137–155.

    Article  Google Scholar 

  19. Kaul, H. A., & Ingle, S. T. (2011). Severity classification of waterlogged areas in irrigation projects of Jalgaon District, Maharashtra. Journal of Applied Technology in Environmental Sanitation, 1(3), 221–232.

    Google Scholar 

  20. Xu, H. (2006). Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27, 3025–3033.

    Article  Google Scholar 

  21. Singh, S. (2013). Waterlogging and its effect on cropping pattern and crop productivity in South-West Punjab: A case study of Muktsar District. Journal of Economic & Social Development, 9(1), 71–80.

    Google Scholar 

  22. Gupta, S., & Sarkar, G. (2014). Climate change and economic adaptability of indian sunderbans. International Journal of Science and Research, 3(10), 105–110.

    Google Scholar 

  23. Knutson, T. R., Mcbride, J. L., Chan, J., Emanuel, K., Holland, G., Landsea, C., et al. (2010). Tropical cyclones and climate change. Nature Geoscience, 3, 157–163. https://doi.org/10.1038/ngeo779.

    Article  Google Scholar 

  24. Nicholls, R. J., & Cazenave, A. (2010). Sea-level rise and its impact on coastal zones. Science, 328, 1517–1520. https://doi.org/10.1126/science.1185782.

    Article  Google Scholar 

  25. Mimura, N., Nurse, L., McLean, R. F., Agard, J., Briguglio, L., Lefale, P., et al. (2007). Small islands, climate change 2007: Impacts, adaptation and vulnerability. In M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. Van der Linden, & C. E. Hanson (Eds.), Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change (pp. 687–716). Cambridge: Cambridge University Press.

    Google Scholar 

  26. Ghosh, A. (2012). Living with changing climate impact, vulnerability and adaptation challenges in Indian sundarbans. New Delhi: Centre for Science and Environment.

    Google Scholar 

  27. Pearson, R. G., & Dawson, T. P. (2003). Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful? Global Ecology and Biogeography, 12(5), 361–371. https://doi.org/10.1046/j.1466-822X.2003.00042.x.

    Article  Google Scholar 

  28. Sengar, R. S., & Sengar, K. (2015). Climate change-effect on productivity. New York: Taylor and Francis Group.

    Google Scholar 

  29. Haines, A., Kovats, R. S., Campbell-Lendrum, D., & Corvalán, C. (2006). Climate change and human health: Impacts, vulnerability and public health. Public Health, 120(7), 585–596. https://doi.org/10.1016/jpuhe.2006.01.002.

    Article  Google Scholar 

  30. Imai, K., & Palit, D. (2013). Impacts of electrification with renewable energies on local economies: The case of India’s rural areas. The International Journal of Environmental Sustainability, 9(1), 1–18.

    Google Scholar 

Download references

Acknowledgements

We thank the editor and the anonymous reviewers of the journal for their valuable comments and assistance in improvement of the paper. We also thank Rahaman Ashique Ilahi, Project Assistant, Burdwan University to help us with RS, GIS techniques.

Author information

Authors and Affiliations

  1. Department of Geography, The University of Burdwan, Rajbati, Bardhaman, West Bengal, 713 104, India

    Nabanita Mukherjee & Giyasuddin Siddique

  2. Behala, Kolkata, 700034, India

    Nabanita Mukherjee

Authors
  1. Nabanita Mukherjee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Giyasuddin Siddique
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nabanita Mukherjee.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mukherjee, N., Siddique, G. Climate change and vulnerability assessment in Mousuni Island: South 24 Parganas District. Spat. Inf. Res. 26, 163–174 (2018). https://doi.org/10.1007/s41324-018-0168-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41324-018-0168-0

Keywords

Search

Navigation