Flood Occurrence and Risk Assessment in Trincomalee District Using Open Source Geo-Spatial Technology

• Authors: S. Suthakaran , K. Rajendram
• Languages of publication: EN

Abstracts

EN

The district of Trincomalee is highly prone to flooding and has experienced frequent floods for the recent epochs, affecting over 0.32 million people when the flood occurred. The recurrent flood inundates the study area, particularly the coastal region that is densely populated and vulnerable to natural disasters. This flood is due to a combination of many factors, including increasing intensity of rainfall due to climate change, constructions buildings in low line areas or wetland reservations, poor maintenance of drainage canals in the city areas, and irrigation canals in the cultivation areas silting of tanks, increasing the volume of water from the Mahaweli Ganga and other rivers are the main caused for regular floods. Torrential rains inundate most of the low-lying areas damages agricultural and residential areas. This paper aims to analyse the vulnerable areas to flood and risk levels using a user-friendly application of open-source geospatial technology. This study was used to collect the exposure data using the community participatory method and the JOSM platform. OSM data and vulnerability areas were integrated into Digital Elevation Model. Elevation points were collected using Google Earth and TCX Converter. A vulnerability and flood risk area map was generated in combination with the factors such as elevation, floodwater depth, proximity to water bodies, rainfall intensity, and previous flood records. The rainfall analysis results show that the below-average rainfall with higher variability-CV28.8% in 1961-1990 and above-average rainfall had recoded from 1931-1960. As a result, the frequency of occurrence of floods was higher in the epoch mentioned above. SPI results revealed that out of 150 years of data, 40 years had experienced floods (P=0.266). The extreme flood were occurred in 1913, 1921, 1941, 1944, 1946, 1947, 1957, 1963, 1965, 1984 and 2011and severe floods were in 1896, 1898, 1898, 1923, 1935, 1949, 1961, 1971, 2015 and 2018. The flood risk assessment reveals, out of 230 GN divisions, about 30 GN are under the high hazard-prone areas, 52 GN under moderate risk, and 43 GN low-risk statuses.

Keywords

EN

Flood Occurrence; Java Open Street Map; Risk Assessment; Vulnerable region

Discipline

• GEOPHYSICS: GEOPHYSICS

• Publisher: Scientific Publishing House „DARWIN”
• Journal: World Scientific News
• Year: 2021
• Volume: 161
• Pages: 45-65

Contributors

author

S. Suthakaran

• Department of Geography, Eastern University, Vantharumoolai, Chendkady, 30350, Sri Lanka

author

K. Rajendram

• Department of Geography, Eastern University, Vantharumoolai, Chendkady, 30350, Sri Lanka

References

• [1] Surendar Natarajan and Nisha Radhakrishnan, Flood Risk Assessment for a Medium Size City Using Geospatial Techniques with Integrated Flood Models, India: Climate India: Climate Change Impacts, Mitigation and Adaptation in Developing Countries, Part of the Springer Climate book series (2021) 39-77
• [2] S.S. Sivakumar. Flood Mitigation Strategies Adopted in Sri Lanka A Review. International Journal of Scientific & Engineering Research, 6, 2 (2015) 607-611
• [3] Lowe, D., Ebi, K. L., & Forsberg, B. Factors Increasing Vulnerability to Health Effects before, during and after Floods. International Journal of Environmental Research and Public Health, 10, 12, (2013) 7015-7067
• [4] M.L.S. Dissanayaka & Pinnawala Sangasumana, Issues and Challenges of Urban Flood Hazard Management in North Colombo Region (A case study of 2016 Flood Affected Kolonnawa Urban Council) International Journal of Scientific and Research Publications, 7, 10 (2017) 310-319
• [5] J.C.J.H. Aerts, W.J.W. Botzen, K. Emanuel, N. Lin, H. de Moel, Evaluating flood resilience strategies for coastal megacities, Science 344, 6183 (2014) 473–475
• [6] D.J. Wagenaara., R.J. Dahm, F.L.M. Diermanse, W.P.S. Dias, D.M.S.S. Dissanayake,H.P. Vajja, J.C. Gehrels, L.M. Bouwer Evaluating adaptation measures for reducing flood risk: A case study in the city of Colombo, Sri Lanka. International Journal of Disaster Risk Reduction 37 (2019) 101162
• [7] Priyan Diasa, N.M.S.I. Arambepola, Kumari Weerasinghe, K.D.N. Weerasinghe, Dennis Wagenaar, Laurens M. Bouwere, Hans Gehrels Development of damage functions for flood risk assessment in the city of Colombo (Sri Lanka). Procedia Engineering 212 (2018) 332-339
• [8] V. Sivarajah, J. N. D. Jayathunga and S. Thiyagarajah. A., Geo-Spatial Analysis of flood hazard impact Assessment in Vavuniya District, Sri Lanka. International Journal of Advanced Research, 7, 3 (2019) 98-109
• [9] Daming, H., Yan, F., Shu, G., Magee, D. and Weihong, Y. Transboundary hydrological effects of hydropower dam construction on the Lancang River. Chinese Science Bulletin, 51, 1, (2006) 16–24
• [10] A.S. Ratnayake and A. Pitawala. Prediction of ungagged river basin for hydropower potential and flood risk mitigation: a case study at Gin River, Sri Lanka. Interdisciplinary Environmental Review, 15 (2014) 4.
• [11] N. Pratheeparajah and Rajendram K. Inpacts of Flood and Drought Hazards on Economy of the Northern Region of Sri Lanka. International Research Journal of Social Sciences, 3, 9, (2014) 22-33
• [12] Christenson, E., Elliott, M., Banerjee, O., Hamrick, L., & Bartram, J. Climate-Related Hazards: A Method for Global Assessment of Urban and Rural Population Exposure to Cyclones, Droughts and Floods. International Journal of Environmental Research and Public Health, 11, 2, (2014) 2169-2192
• [13] N.B. Guttman, Comparing the Palmer drought index and the Standardized Precipitation Index. Journal of the American Water Resources Association. 34, 1 (1998) 113-121
• [14] Edwards D.C. and TB.McKee, Characteristics of 20th century drought in the United States at multiple time scales. Climatology Report. 97-2 (1997) Colorado State University, Fort Collins, Colorado.
• [15] Hung, H.V., Kobayashi, R.S.M., Flood Risk Management for the Riverside Urban areas of Hanoi. Disaster Prevention and Management: An International Journal, 19, 1 (2010) 103-118
• [16] Tingsanchali T. & Karim M.F. Flood hazard and risk analysis in the southwest region of Bangladesh. Hydrol Process, 19, 10, (2005) 2055-2069
• [17] Brivio, P.A., R. Maggi, M., Tomasoni, R. Integration of remote sensing data and GIS for accurate mapping of flooded areas. Int. J. Remote Sens. 23 (2002) 429-441
• [18] Frazier, P.S.; Page, K.J. Water Body Detection and Delineation with Landsat TM Data. Photogramm. Eng. Remote Sens. 66 (2000) 1461-1467
• [19] Jain, S.K.; Singh, R.D.; Jain, M.K.; Lohani, A.K. Delineation of Flood-Prone Areas Using Remote Sensing Techniques. Water Resour. Manag. 19 (2005) 333-347
• [20] Jafarzadegan, K.; Merwade, V. A DEM-based approach for large scale floodplain mapping in ungauged watersheds. Journal of Hydrology, 550 (2017) 650-662
• [21] Islam, A.S.; Bala, S.K.; Haque, M.A. Flood inundation map of Bangladesh using MODIS time-series images. J. Flood Risk Manag. 3, (2010) 210-222
• [22] Wickramagamage, P. Spatial and temporal variation of rainfall trends of Sri Lanka. Theor. Appl. Climatol. 125 (2016) 427-438
• [23] Bhatt, C.M.; Rao, G.S. Ganga floods of 2010 in Uttar Pradesh, north India: A perspective analysis using satellite remote sensing data. Geomat. Nat. Hazards Risk, 7 (2016) 747–763
• [24] Tanguy, M., Chokmani, K., Bernier, M.; Poulin, J. Raymond, S. River flood mapping in urban areas combining Radarsat-2 data and flood return period data. Remote Sens. Environ. 198 (2016) 442–459
• [25] M. N. Nuska Banu, Causes and impacts of flood inundation: a case study based on Mavadippalli, Sri Lanka. World Scientific News 160 (2021) 263-283
• [26] K. Rajendram, Rainfall Variability and Drought in the Dry and Wet Zones of Sri Lanka. World Scientific News 160 (2021) 172-189Diantiny Mariam Pribadi, Ira Sumiati, Sri Purwani, Spatial-Temporal Analysis of Rainfall West Java Indonesia Using Empirical Orthogonal Function based on Singular Value Decomposition. World Scientific News 140 (2020) 113-126
• [27] Clairissa A. Nasrudin, Yuniarti, Yudi Nurul Ihsan, Mega L. Syamsudin, Influence of Rainfall Intensity Towards Macrozoobenthos Community Structure in Ciletuh Bay Regency of Sukabumi District, West Java, Indonesia. World News of Natural Sciences 28 (2020) 142-154
• [28] K. Nishanthi, R. Dushanan, S. Mathanraj, C. Priyadharshini, An assessment of water quality temporal variation in Sri Jayawardenapura Kotte canal, Sri Lanka. World News of Natural Sciences 38 (2021) 139-157
• [29] Wondimu Zeberie, Modelling of Rainfall-Runoff Relationship in Big-Akaki Watershed, Upper Awash Basin, Ethiopia. World News of Natural Sciences 27 (2019) 108-120

• Document Type: article