Land-Use Change and Its Impact on Urban Flooding: A Case Study on Colombo District Flood on May 2016
Colombo district has become an increasingly congested urban society. It has been reported that the frequent flooding in the Colombo district occurs due to the shrinking of open spaces, illegal constructions, and lack of suitable waste disposal facilities. Therefore, this study focuses on analyzing the impact of land-use change on the flood of Colombo district in May 2016 in comparison to the land-use during the flood in 1989. Accordingly, Landsat images were utilized to identify the land-use by using NDVI, NDBI, and NDWI indices. Out of the several techniques examined, SVM classification was chosen, and change detection techniques in conjunction with remote sensing and GIS environment were adopted. SVM classification showed the highest accuracy for land-use classification, which was 99.0% in 1989 and 99.9% in 2016. The comparison of land-use changes of 1989 and 2016 with similar flood extent of the Colombo district proved that the area of the Kelani river watershed changed into urban area, having a significant impact on flood inundation. The Kelani river watershed includes 23% of the total urban area of the Colombo district. Similarly, the entire area of land-use transformation covered 37.7% of the area within the watershed region of the Colombo district. Eventually, this research identified the significant impact of Colombo district floods in May 2016 on land-use changes.
Keywords:NDVI, NDBI, NDWI, Landsat satellite images, land-use classification, urban floods
C. G. Berry, “Multi-temporal Land Cover Classification of the Little Wasillta Watershed Using the Kauth-Thomas Greenness Vegetation Index”, PhD Thesis, Oklahoma State University, 1998
Y. Qin, H. Liling, Y. Min, L. Yi, “Researches on the land-use change detection of mine area based on TM/ETM images International Archives of the Photogrammetry”, Remote Sensing and Spatial Information Sciences, Vol. XL-7/W1, pp. 91-101, 2013 DOI: https://doi.org/10.5194/isprsarchives-XL-7-W1-91-2013
S. Idris, L. M. Dharmasiri, “Urban Development and the Increasing Trend of Flood Risk in Gombe Metropolis, Nigeria”, International Journal of Science and Research, Vol. 5, No. 8, pp. 500-504, 2015 DOI: https://doi.org/10.21275/v5i8.ART2016888
B. Corley, S. Bartelt-Hunt, E. Rogan, D. Coulter, J. Sparks, L. Baccaglini, M. Howell, S. Liaquat, R. Commack, A. S. Kolok, “Using Watershed Boundaries to Map Adverse Health Outcomes: Examples from Nebraska, USA”, Environmental Health Insights, Vol. 12, pp. 1-10, 2018 DOI: https://doi.org/10.1177/1178630217751906
R. G Ariyawansa, “Demographic Characteristics and Planning Challenges: The Case of Colombo City”, Sri Lanka Journal of Population Studies, Vol. 11, pp. 93-106, 2009 DOI: https://doi.org/10.4038/besl.v8i1.1906
N. Alahacoon, K. Matheswaran, P. Pani, G. Amarnath, “A Decadal Historical Satellite Data and Rainfall Trend Analysis (2001–2016) for Flood Hazard Mapping in Sri Lanka”, Remote Sensing, Vol. 10, No. 3, pp. 448-465, 2018 DOI: https://doi.org/10.3390/rs10030448
N. M. S. I. Arambepola, G. Iglesias, “Effective strategies for urban flood risk management”, Expert Group Meeting on Innovative Strategies Towards Flood Resilient Cities in Asia-Pacific, Bangkok, Thailand, 2017
M. A. C. Niroshani, “Adaptation to extreme floods under future climate change scenarios for Colombo, Sri lanka. ISAP-International Forum for Sustainable Asia and the Pacific”, International Forum for Sustainable Asia and the Pacific, Pacifico Yokohama, Japan, July 24-25, 2012
P. Hettiarachchi, “Hydrological report on Kelani River flood in May 2016”, Hydrological Annual, Irrigation Department, 2016
W. Silva, “May Floods – The Highest Economic Loss in South Asia”, The Sunday Leader, available at: http://www.thesundayleader.lk/2016/
N. Pettorelli, J. O. Vik, A. Mysterud, J. M. Gaillard, C. J. Tucker, N. C. Stenseth, “Using the satellite-derived NDVI to assess ecological responses to environmental change”, Trends in Ecology & Evolution, Vol. 20, No. 9, pp. 503-510, 2005 DOI: https://doi.org/10.1016/j.tree.2005.05.011
Y. Zha, J. Gao, S. Ni, “Use of normalized difference built-up index in automatically mapping urban areas from TM imagery”, International Journal of Remote Sensing, Vol. 24, No. 3, pp. 583-585, 2003 DOI: https://doi.org/10.1080/01431160304987
S. K. McFeeters, “The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features”, International Journal of Remote Sensing, Vol. 17, No. 7, pp. 1425-1432, 1996 DOI: https://doi.org/10.1080/01431169608948714
C. C. Chang, C. J. Lin, “LIBSVM: a library for support vector machines”, ACM Transactions on Intelligent Systems and Technology, Vol. 2, No. 3, ArticleNo. 27, 2001 DOI: https://doi.org/10.1145/1961189.1961199
X. Yang, C. P. Lo, “Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area”, International Journal of Remote Sensing, Vol. 23, No. 9, pp. 1775-1798, 2002 DOI: https://doi.org/10.1080/01431160110075802
How to Cite
MetricsAbstract Views: 915
PDF Downloads: 436 Untitled Downloads: 0 Untitled Downloads: 0 Untitled Downloads: 0
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.