Vulnerability caused by the flood is complex and fluctuation. The flood vulnerability is depended on the phenomena such as precipitation, runoff and its accumulated and amount of vulnerability lowland areas of flood. Flood vulnerability be varied over time and from region to another that its reason for natural special circumstances . In order to drawing schematic of vulnerability surface caused by flood in Babul city, we used Analytical Hierarchy Process model (AHP) with variables namely: lands use, old texture, distance from transportation network and river, runoff height, slope, channel density and height. Priority and determination relationship between these variables with the vulnerability carried out through AHP method. The weight of criteria were: land use and old texture 0.35, distance transportation network 0.24, distance from river 0.16, runoff height 0.10, slope 0.07, density of channel 0.044 and for variable height 0.03. Therefore, land use and old texture gained minimum and maximum weights. After calculating the relative weights and using the equation obtained from the coefficients of the variables, Babul city flood vulnerability map was prepared by using the analysis formats in Arc Map in five vulnerability class: very low, low, medium, high and very high. Very high vulnerability class based on old texture mapping of the old texture of Babul and parts it is that density is highest or impermeable surfaces is highest. Very high vulnerability area is visible more in downtown and the river surrounding. However, the expansion of agriculture lands and reduced density of impermeable surfaces (use of residential and passageways) led to reduce flood vulnerability in city. Area of very low vulnerable class and very high vulnerable are 4.3, 9.3, 5.9, 4.7 and 7.7, kilometers respectively. The low vulnerable class and very high vulnerable class including 29.1 and 23.9 percentage of Babul city area, respectively. Finally locating 38 percentages from Babul city in very high and very high vulnerable is indicating high relatively vulnerable of this city in flood.
Abe, C., Lobo, F., Dibike, Y., Costa, M., Dos Santos, V., & Novo, E. 2018. Modelling the effects of historical and future land cover changes on the hydrology of an Amazonian Basin. Water, 10(7), 1-19. https://www.mdpi.com/2073-4441/10/7/932. - Alcántara-Ayala, I. 2002. Geomorphology, natural hazards, vulnerability and prevention of natural disasters in developing countries. Geomorphology, 47(2), 107-124. http://dx.doi.org/10.1016/S0169-555X(02)00083-1. - Beighley, R. E., & Moglen, G. E. 2002. Trend assessment in rainfall-runoff behavior in urbanizing watersheds. Journal of Hydrologic Engineering, 7(1), 27-34. http://dx.doi.org/10.1061/(ASCE)1084-0699(2002)7:1(27). - Bhattacharya, N. 2010. Flood risk assessment in Barcelonese France, Thesis for degree of Master of Science in International institute for geo-information science and earth observation Enscheda (ITC), the Netherlands. http://www.ano-omiv.cnrs.fr/images/Publications/PDFs/Ubaye/MsCThesis/2010-Bhattacharya_MScThesis.pdf. - Campana, N. A., & Tucci, C. E. 2001. Predicting floods from urban development scenarios: case study of the Dilúvio Basin, Porto Alegre, Brazil.Urban Water, 3(1), 113-124. http://rhama.com.br/blog/wp-content/uploads/2017/01/predicting-floods-from-urban-developmente-scenarios-diluvio-basin-porto-alegre.pdf. - Hawley, R. J., & Bledsoe, B. P. 2011. How do flow peaks and durations change in suburbanizing semi-arid watersheds? A southern California case study. Journal of Hydrology, 405(1), 69-82. http://dx.doi.org/10.1016/j.jhydrol.2011.05.011. - IF-NET 2005.Flood net brochure, the Floods of 2005 in Switzerland. Synthesis Report on the Event Analysis. Federal Deoartment for the Environment, Transport, Energy and communications DETEC, 24pp. https://www.preventionweb.net/files/10580_index1.pdf. - Jinfeng, Y., 2002. Generating ranking groups in Analytical Hierarchy Analysis. Dublin. John wily & Sons press. https://doi.org/10.1057/palgrave.jors.2601975. - Liu, Y. B., De Smedt, F., Hoffmann, L., & Pfister, L. 2005. “Assessing land use impacts on flood processes in complex terrain by using GIS and modeling approach”. Environmental modeling & assessment, 9(4), 227-235. https://doi.org/10.1007/s10666-005-0306-7. - Nirupama, N., and Simonovic, S. P., 2007. Increase of flood risk due to urbanization: A of Urban Watersheds in the United States. U.S. Geological Survey. DOI: 10.1007/s11069-006-0003-0. - NOAA/NWS. 2009. Flood losses: complication of flood loss statistics [Online]. NOAA Gov. Climate Research Centre. Available: http://www.wheather.gov/oh/hic/flood stats/Flood Loss time series.shtml [Accessed 25.08.2009]. - Poff, N. L., Bledsoe, B. P., & Cuhaciyan, C. O. (2006). Hydrologic variation with land use across the contiguous United States: geomorphic and ecological consequences for stream ecosystems. Geomorphology, 79(3), 264-285. http://dx.doi.org/10.1016/j.geomorph.2006.06.032. - Puno, R.C.C., Puno, G.R., & Talisay, B.A.M. (2019). “Hydrologic responses of watershed assessment to land cover and climate change using soil and water assessment tool model”. Global Journal of Environmental Science Management, 5(1), 71-82. https://dx.doi.org/10.22034/gjesm.2019.01.06. - Saaty, T. L. (2004). Mathematical methods of operations research. Courier Corporation. Courier Corporation, Business & Economics, 460pp. https://books.google.com.ni/books?id=muSCOkuD8_IC.
Saghafian, B., Farazjoo, H., Bozorgy, B., & Yazdandoost, F. (2008). Flood intensification due to changes in land use. Water resources management, 22(8), 1051-1067. http://dx.doi.org/10.1007/s11269-007-9210-z. - Sauer, V. B., Thomas Jr, W. O., Stricker, V. A., & Wilson, K. V. (1983). Flood characteristics of urban watersheds in the United States (No. 2207). USGPO. https://doi.org/10.3133/wsp2207.
- Suriya, S., & Mudgal, B. V. (2012). “Impact of urbanization on flooding: the Thirusoolam sub watershed–a case study”. Journal of Hydrology, 412, 210-219. https://doi.org/10.1016/j.jhydrol.2011.05.008. - Wheater, H., & Evans, E. (2009). Land use, water management and future flood risk. Land Use Policy, 26, S251-S264. http://dx.doi.org/10.1016/j.landusepol.2009.08.019.
Derafshi, K. , Sadough, H. , Mehjou nejad, A. and khaledi, S. (2020). The Sub-Zoning of Flood Vulnerability in the Babol City. Sustainable Development of Geographical Environment, 2(2), 150-167. doi: 10.52547/sdge.2.2.150
MLA
Derafshi, K. , , Sadough, H. , , Mehjou nejad, A. , and khaledi, S. . "The Sub-Zoning of Flood Vulnerability in the Babol City", Sustainable Development of Geographical Environment, 2, 2, 2020, 150-167. doi: 10.52547/sdge.2.2.150
HARVARD
Derafshi, K., Sadough, H., Mehjou nejad, A., khaledi, S. (2020). 'The Sub-Zoning of Flood Vulnerability in the Babol City', Sustainable Development of Geographical Environment, 2(2), pp. 150-167. doi: 10.52547/sdge.2.2.150
CHICAGO
K. Derafshi , H. Sadough , A. Mehjou nejad and S. khaledi, "The Sub-Zoning of Flood Vulnerability in the Babol City," Sustainable Development of Geographical Environment, 2 2 (2020): 150-167, doi: 10.52547/sdge.2.2.150
VANCOUVER
Derafshi, K., Sadough, H., Mehjou nejad, A., khaledi, S. The Sub-Zoning of Flood Vulnerability in the Babol City. Sustainable Development of Geographical Environment, 2020; 2(2): 150-167. doi: 10.52547/sdge.2.2.150