Peer-reviewed articles 17,970 +


Title: IDENTIFICATION AND MAPPING OF FLOOD-SUSCEPTIBLE AREAS IN THE ILI?UA CATCHMENT, ROMANIA, USING A VULNERABILITY INDEX
IDENTIFICATION AND MAPPING OF FLOOD-SUSCEPTIBLE AREAS IN THE ILI?UA CATCHMENT, ROMANIA, USING A VULNERABILITY INDEX

PlumX Article Metrics by Elsevier
Iulia Ajtai; Camelia Botezan; Andrei Radovici; Ioana Cristina Pi?tea; Calin Baciu
10.5593/sgem2022/3.1/s12.14
10.5593/sgem2022/3.1
1314-2704
978-619-7603-42-2
English
22
3.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Hydrology and Water Resources
In recent years, the growing impact of flood events on society, economy and environment, has increased the need for early prevention and mitigation measures. The prediction of future flooding areas represents an important tool that can reduce the magnitude of consequences, by identifying and mapping the flood prone-areas. The intensity and extension of floods depends on various contributing parameters, such as hydrometeorological and geomorphological indicators, land use, anthropic activities. Therefore, by analysing these parameters and the interaction between them, the areas susceptible to floods can be identified and flood impact mitigation measures can be applied. The purpose of this paper is to delineate the flood prone-areas for Ili?ua catchment, Romania, and to develop a flood susceptibility map by integrating GIS tools and geospatial techniques. A flood vulnerability index method was constructed based on 9 indicators influencing the flood hazard: elevation, slope, TWI (Topographic Wetness Index), rainfall, proximity to the river, land use, road density, population density, constructed areas density. The values of each indicator were ranked in 5 classes, based on their influence on flood probability. Furthermore, a weight was assigned to each indicator, depending on their contribution to the flood occurrence. This information is overlapped using GIS techniques in order to develop a flood susceptibility map for the study area, which was divided into five zones of susceptibility: very low, low, moderate, high and very high. The results showed that the applied method can provide reliable information regarding the flood prone-areas, the indicators with the most influence being the slope and TWI.
[1] Membele G.M., Naidu M., Mutanga O., Using local and indigenous knowledge in selecting indicators for mapping flood vulnerability in informal settlement contexts, International Journal of Disaster Risk Reduction, vol. 71, pp. 102836, 2022.
[2] Rahman M., Ningsheng C., Mahmud G.I., Islam M.M., Pourghasemi H.R., Ahmad H., Habumugisha J.M., Washakh R.M.A., Alam M., Liu E., Han Z., Ni H., Shufeng T., Dewan A., Flooding and its relationship with land cover change, population growth, and road density, Geoscience Frontiers, vol. 12, pp. 101224, 2021.
[3] Lin J.M., Billa L., Spatial prediction of flood-prone areas using geographically weighted regression, Environmental Advances, vol. 6, pp. 100118, 2021.
[4] Usman Kaoje I., Abdul Rahman M.Z., Idris N.H., Razak K.A., Wan Mohd Rani W.N.M., Tam T.H., Mohd Salleh M.R., Physical Flood Vulnerability Assessment using Geospatial Indicator-Based Approach and Participatory Analytical Hierarchy Process: A Case Study in Kota Bharu, Malaysia, Water, vol. 13, pp. 1786, 2021.
[5] Malik S., Pal S.C., Arabameri A., Chowdhuri I., Saha A., Chakrabortty R., Roy P., Das B., GIS-based statistical model for the prediction of flood hazard susceptibility, Environment, Development and Sustainability, vol. 23, pp. 16713–16743, 2021.
[6] Sarkar D., Mondal P., Flood vulnerability mapping using frequency ratio (FR) model: a case study on Kulik river basin, Indo-Bangladesh Barind region, Applied Water Science, vol. 10, pp 1-13, 2020.
[7] Albano R., Craciun I., Mancusi L., Sole A., Ozunu A., Flood damage assessment and uncertainty analysis: the case study of 2006 flood in Ili?ua basin in Romania, Carpathian Journal of Earth and Environmental Sciences, vol. 12, pp 335-346, 2017.
[8] The European Space Ageny, available online: https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198 (accessed on 12 April 2022).
[9] Mattivi P., Franci F., Lambertini A., Bitelli G., TWI computation: a comparison of different open source GISs, Open Geospatial Data, Software and Standards, vol.4, 2019.
[10] Ali S.A., Khatun R., Ahmad A., Ahmad S.N., Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India, Modeling Earth Systems and Environment, vol. 5, pp. 1083–1102, 2019.
[11] European Environment Agency - Copernicus Land Monitoring Service. Available online: https://land.copernicus.eu/pan-european/corine-land-cover (accessed on 10 April 2022).
The present work has received financial support from UEFISCDI (Romania) through the Project PN-III-P1-1.2-PCCDI2017-0721 INTER-ASPA.
conference
https://doi.org/10.5593/sgem2022/3.1/s12.14
Download PDF
Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
113-120
04 - 10 July, 2022
website
8533
flood prone-areas, susceptibility, GIS, mapping