Share:


Socio-economic and ecological adaptability across South Asian Floodplains

Abstract

Flood Risk Potential across South Asian Floodplains corresponding to 2010 economic exposures had been reported to be about 11 billion US2012$ and contributing more than 10% of Global values. Ecosystem approaches, based on Integrated Flood Management strategy of World Meteorological Organization, have been explored for balanced socio-economic and ecological adaptability enhancement, considering degradation of ecosystem services as fundamental issues and adaptation as optional solution. Adaptive Management methods have been explored for Flood Risk Minimization. General benefits of balanced socio-economic and ecological adaptation have been reviewed. Distributions of flood hazards, Gross Domestic Product, flood risk, Net Primary Productivity, carbon dioxide emissions and landscapes heterogeneity have been presented and analyzed for its influences over socio-economic and ecological adaptability. Distributions of Expected Annual Exposed socio-economic resources across 500 Years floodplains have been presented. Projected results corresponding to various two dimensional socio-environmental scenarios have been presented. Low Adaptable regions have been delineated.

Keyword : integrated flood management, socio-economic adaptability, socio-ecological adaptability, landscape management, South Asian Floodplains, environmental sustainability, environment monitoring

How to Cite
Gurusamy, B. T., & Vasudeo, A. D. (2023). Socio-economic and ecological adaptability across South Asian Floodplains. Journal of Environmental Engineering and Landscape Management, 31(2), 121–131. https://doi.org/10.3846/jeelm.2023.19014
Published in Issue
May 18, 2023
Abstract Views
325
PDF Downloads
357
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Allen, C. R., & Garmestani, A. S. (2015). Adaptive management. In Adaptive management of social-ecological systems (pp. 1–10). Springer. https://doi.org/10.1007/978-94-017-9682-8_1

Apel, H., Martínez Trepat, O., Hung, N. N., Chinh, D. T., Merz, B., & Dung, N. V. (2016). Combined fluvial and pluvial urban flood hazard analysis: Concept development and application to Can Tho city, Mekong Delta, Vietnam. Natural Hazards and Earth System Sciences, 16, 941–961. https://doi.org/10.5194/nhess-16-941-2016

Bardeen, J., & Brattain, W. H. (1948). The transistor, a semi-conductor triode. Physical Review, 74, 230–231. https://doi.org/10.1103/PhysRev.74.230

Bar-Yam, Y. (2002). General features of complex systems. In Encyclopedia of life support systems. New England Complex Systems Institute, Cambridge, MA, USA.

Chapin, F. S., Matson, P. A., &Vitousek, P. M. (2011). Principles of terrestrial ecosystem ecology. Springer Science plus Business Media. https://doi.org/10.1007/978-1-4419-9504-9

Center for International Forestry Research. (2017). Tropical and subtropical wetlands distribution V3. https://doi.org/10.17528/CIFOR/DATA.00058

Congressional Research Service. (2020). Flood risk reduction from natural and nature-based features: Army Corps of Engineers Authorities (CRS Report 46328). https://crsreports.congress.gov/product/pdf/R/R46328

Cambridge University Press. (2021). Cambridge advanced learner’s dictionary. https://dictionary.cambridge.org/dictionary/english/synergy

Di Gregorio, A. (2005). Land Cover Classification System (LCCS): Classification concepts and user manual for software version 2.0. FAO, Food and Agriculture Organization of the United Nations. http://www.fao.org/docrep/008/y7220e/y7220e00.htm

European Commission, & Joint Research Centre. (2004). The land cover of the world in the year 2000. Belgium. https://forobs.jrc.ec.europa.eu/products/glc2000/products.php

European Commission, & Joint Research Centre. (2016). River flood hazard maps at European and global scale. https://data.jrc.ec.europa.eu/collection/id-0054

European Commission, & Joint Research Centre. (2018). GHS-BUILT R2018A - GHS built-up grid, derived from Landsat, multitemporal (1975-1990-2000-2014). https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-10007

European Environment Agency. (2016). Flood risks and environmental vulnerability: Exploring the synergies between floodplain restoration, water policies and thematic policies (EEA Report No. 1/2016). https://www.eea.europa.eu/publications/flood-risks-and-environmental-vulnerability

Federal Emergency Management Agency. (1986). A unified national program for floodplain management. Washington, USA.

Federal Emergency Management Agency. (2020). Flood insurance manual. USA.

Global Carbon Project. (2021). Supplemental data of Global Carbon Budget 2021 (Version 1.0). https://doi.org/10.18160/gcp-2021

Government of India, & Central Water Commission. (2020). State wise flood damage statistics. https://cwc.gov.in/flood-damage-statistics-statewise-and-country-whole-during-1953-2020

Government of India, & Ministry of Water Resources. (2020). Annual report 2019-2020. https://jalshakti-dowr.gov.in/annual-reports-2/

International Energy Agency. (2021). World energy balances 2021. https://www.iea.org/data-and-statistics/data-product/world-energy-statistics-and-balances

International Institute for Applied Systems Analysis. (2013). SSP database. https://tntcat.iiasa.ac.at/SspDb

Intergovernmental Panel on Climate Change. (2007). Inter-relationships between adaptation and mitigation. In Climate Change 2007: Impacts, adaptation and vulnerability. Cambridge University Press. https://doi.org/10.1017/CBO9780511546013

Intergovernmental Panel on Climate Change. (2013). The physical science basis, summary for policy makers, WG1 contribution to IPCC AR5. http://www.ipcc.ch/pdf/assessment-report/ar5/wg1/WG1AR5_SPM_FINAL.pdf

Intergovernmental Panel on Climate Change. (2021). Climate Change 2021: The Physical Science Basis, the Working Group I contribution to the sixth assessment report. https://www.unep.org/ndc/resources/report/climate-change-2021-physical-science-basis-working-group-i-contribution-sixth

Kummu, M., Taka, M., & Guillaume, J. H. A. (2020). Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015. Dryad. https://doi.org/10.5061/dryad.dk1j0

Lehner, B., Verdin, K., & Jarvis, A. (2008). New global hydrography derived from spaceborne elevation data. Eos, Transactions, American Geophysical Union, 89(10), 93–94. https://doi.org/10.1029/2008EO100001

Land Processes Distributed Active Archive Center. (2021). MODIS land cover type product (MCD12Q1). USGS Earth Resources Observation and Science (EROS) Center. https://lpdaac.usgs.gov/products/mcd12q1v006/

Maddison, A. (2010). Statistics on world population, GDP and per capita GDP, 1-2008 AD. Angus Maddison, University of Groningen. http://www.ggdc.net/maddison/oriindex.htm

McGranahan, G., Balk, D., & Anderson, B. (2007). The rising tide: Assessing the risks of climate change and human settlements in low elevation coastal zones. Environment & Urbanization, 19(1), 17–37. https://doi.org/10.1177/0956247807076960

NASA Earth Observations. (2018). Net primary productivity (1 month - Terra/MODIS). https://neo.gsfc.nasa.gov/view.php?datasetId=MOD17A2_M_PSN

National Institution for Transforming India. (2019). SDG India Index 2019. Government of India.

Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Crespo Cuaresma, J., Samir, K. C., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., … Tavoni, M. (2017). The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153–168. https://doi.org/10.1016/j.gloenvcha.2016.05.009

Serra-Llobet A., Jähnig, S. C., Geist, J., Kondolf, G. M., Damm, C., Scholz, M., Lund, J., Opperman, J. J., Yarnell, S. M., Pawley, A., Shader, E., Cain, J., Zingraff-Hamed, A., Grantham, T. E., Eisenstein, W., & Schmitt, R. (2022). Restoring rivers and floodplains for habitat and flood risk reduction: Experiences in multi-benefit floodplain management from California and Germany. Frontiers in Environmental Science, 9, 778568. https://doi.org/10.3389/fenvs.2021.778568

Socioeconomic Data and Applications Center. (2018). Gridded population of the world, version 4 (GPWv4). Center for International Earth Science Information Network, Columbia University.

Trigg, M. A., Birch, C. E., Neal, J. C., Bates, P. D., Smith, A., Sampson, C. C., Yamazaki, D., Hirabayashi, Y., Pappenberger, F., Dutra, E., Ward, P. J., Winsemius, H. C., Salamon, P., Dottori, F., Rudari, R., Kappes, M. S., Simpson, A. L., Hadzilacos, G., & Fewtrell, T. J. (2016). The credibility challenge for global fluvial flood risk analysis. Environmental Research Letters, 11, 094014. https://doi.org/10.1088/1748-9326/11/9/094014

United Nations. (1999). The world at six billion. United Nations Population Division, USA.

United Nations. (2015). A/RES/70/1 - Transforming our world: The 2030 Agenda for Sustainable Development. https://documents-dds-ny.un.org/doc/UNDOC/GEN/N15/291/89/PDF/N1529189.pdf?OpenElement

United Nations. (2019). World population prospects 2019. Department of Economic and Social Affairs, Population Dynamics. https://population.un.org/wpp/Publications/

United Nations Environment Programme, & Global Resources Information Database. (2015). Global risk data platform. United Nations, Geneva, Switzerland. https://preview.grid.unep.ch/index.php?preview=home&lang=eng

United States Government Accountability Office. (2016). Report to the honorable Matthew Cartwright, house of representatives (GAO-16-454). USA.

United Nations Office for Disaster Risk Reduction. (2015). Global assessment report on disaster risk reduction. Geneva, Switzerland.

Verdin, K. L. (2017). Hydrologic Derivatives for Modeling and Applications (HDMA) database: U.S. Geological Survey data release. https://doi.org/10.5066/F7S180ZP

World Bank. (2010). Economics of adaptation to climate change: Synthesis report. World Bank Group, USA.

World Bank. (2011). The cost of adapting to extreme weather events in a changing climate (Bangladesh Development Series, Paper No. 28). Washington, USA.

World Bank. (2021). World Development Indicators database. Washington, DC. https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators

World Meteorological Organization. (2009). Integrated flood management (WMO-No. 1047). https://library.wmo.int/?lvl=notice_display&id=108#.XzQhLfMzbZ4

World Resources Institute. (2015). Aqueduct global flood risk maps. Washington, USA. https://www.wri.org/resources/data-sets/aqueduct-global-flood-risk-maps

World Resources Institute. (2020). Key findings of WRI’s aqueduct floods tool. USA. https://www.wri.org/research/aqueduct-floods-methodology