To Analysis the Impact of Flood on Communities Belong to Various Socio-economic Background in the Highly Vulnerable Regions Along with the Yamuna Catchment Area, New Delhi
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Abstract
Disasters are old-age concerns of the human race. Hazards are the product of natural cycles and physical adjustments of nature to maintain equilibrium. In the course of development, Humans invited disasters through reckless, unplanned, unmindful settlements. They continuously ignored the signs of nature and today reached at the stage that no corner of the earth is safe from disasters. Among, all kinds of disasters, Flood is the most important type of natural disaster. Almost all human civilizations developed around rivers, such as the great Indus Valley Civilization that flourished and perished along the banks of the Indus River. Floods engulfed many great human settlements in seconds and erased many great lands from the world map. Rivers are carried endless opportunities embracing huge resources enough to thrive a large population for years but at the same time, their nature is random, flickering, and devastating when caused disturbance either by nature or humans. The purpose of the current research paper is to understand the impact of the flood on various socio-economic sections of society in Delhi.
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References
Carrara, A., & Guzzetti, F. (Eds.). (2013). Geographical information systems in assessing natural hazards (Vol. 5). Springer Science & Business Media.
C. K. (2017). A gender perspective on the impact of flood on the food security of households in rural communities of Anambra state, Nigeria. Food Security, 9(4), 685-695.
Husain, A., Sharif, M., & Ahmad, M. L. (2018). Simulation of floods in Delhi segment of river Yamuna using HEC-RAS. Am. J. Water Resour, 6, 162-168.IV. Central water Commission, http://cwc.gov.in/ybo/about_basin
Chang K. T. (2006). Raster data analysis. Introduction to geographic information system. NEW Delhi: Tata McGraw Hill.
Rai, P. K., & Mohan, K. (2014, June). Remote Sensing data & GIS for flood risk zonation mapping in Varanasi District, India/Utilizarea SIG si teledetectiei pentru cartarea zonelor de risc la inundatii în districtul Varanasi, India. In Forum Geografic (Vol. 13, No. 1, p. 25). University of Craiova, Department of Geography.
Clark, M. J. (1998). Putting water in its place: A perspective on GIS in hydrology and water management. Hydrological Processes, 12(6), 823-834.
Coppock, J. T. (1995). GIS and natural hazards: an overview from a GIS perspective. Geographical information systems in assessing natural hazards, 21-34.
Malik, D., Singh, S., Thakur, J., Singh, R. K., Kaur, A., & Nijhawan, S. (2014). Heavy metal pollution of the Yamuna River: An introspection. Int. J. Curr. Microbiol. App. Sci, 3(10), 856-863.
Sharma, D., & Singh, R. K. (2009). DO-BOD modeling of River Yamuna for national capital territory, India using STREAM II, a 2D water quality model. Environmental monitoring and assessment, 159, 231-240.
Pollution, C., & Board, C. (2006). Water quality status of Yamuna River (1999–2005). Assessment and Development of River, 136.
Das, A., Santra, P. K., & Bandyopadhyay, S. (2021). The 2016 flood of Bihar, India: an analysis of its causes. Natural Hazards, 107, 751-769.
Das, S. (2018). Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India. Arabian Journal of Geosciences, 11(19), 576. https://doi.org/10.1007/s12517-018-3933-4
Dash, P., & Sar, J. (2020). Identification and validation of potential flood hazard area using GIS‐based multi‐criteria analysis and satellite data‐derived water index. Journal of Flood Risk Management, 13(3), e12620. https://doi.org/10.1111/jfr3.12620
Talyan, V., Dahiya, R. P., & Sreekrishnan, T. R. (2008). State of municipal solid waste management in Delhi, the capital of India. Waste management, 28(7), 1276-1287.
Detrembleur, S., Stilmant, F., Dewals, B., Erpicum, S., Archambeau, P., & Pirotton, M. (2015). Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis. Natural Hazards, 77, 1533-1549. https://doi.org/10.1007/s11069-015-166