Abstract
Flood hazard is one of the most common natural hazard in plain urban area. The location chosen for the study is Zhengzhou city, provincial capital, China. The model incorporates four factors: rainstorm with increased frequency and intensity, land subsidence, density of population, impermeable land surface, land use change. In this study, the coupling of geographical information system (GIS) and the analytical hierarchy process (AHP) were used, GIS analysis urban flood hazard vulnerability based on the underlying change and AHP was used in order to calculate the weighting values of each factor. A hazard map, based on the historical data in the past ten years, was obtained by spatial analysis technology. The hazard map was compared with the actual flood area, and good coincidence was found between them. The flood hazard assessment method presented here is meaningful for the local government to improve flood risk management and protecting environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Liu, M., Quan, R., Xu, S.: Risk Assessment of Urban Rainstorm Waterlogging Disaster: Theory, Method and Practice. Science Press, Beijing (2012). (in Chinese)
Chen, H., Ito, Y., Sawamukai, M., Tokunaga, T.: Flood hazard assessment in the Kujukuri Plain of Chiba Prefecture, Japan, based on GIS and multicriteria decision analysis. Nat. Hazards 78, 105–120 (2015)
Muller, A., Reiter, J., Weiland, U.: Assessment of urban vulnerability towards floods using an indicator-based approach – a case study for Santiago de Chile. Nat. Hazards Earth Syst. 11, 2107–2123 (2011)
Stefanidis, S., Stathis, D.: Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Nat. Hazards 68, 569–585 (2013)
Benito, G., Lang, M., Barriendos, M., et al.: Use of systematic, palaeoflood and historical data for the improvement of flood risk estimation, review of scientific methods. Nat. Hazard 31(3), 623–643 (2004)
Dongdong, Z., Denghua, Y., Yicheng, W.: Research progress on risk assessment and integrated strategies for urban pluvial flooding. J. Catastrophology 29(1), 144–149 (2014)
Booij, M.: Impact of climate change on river flooding assessed with different spatial model resolutions. J. Hydrol. 303, 176–198 (2005)
Cowen, D.: GIS versus CAD versus DBMS: what are the differences. Photogramm. Eng. Remote Sens. 54, 1551–1555 (1988)
Chang, N., Parvathinathan, G., Breeden, J.: Combining GIS with fuzzy multi criteria decision-making for landfill siting in a fast-growing urban region. J. Environ. Manag. 87(1), 139–153 (2008)
Furdada, G., Calderon, L.E., Marques, M.A.: Flood hazard map of La Trinidad (NW Nicaragua). Method and results. Nat. Hazards 45, 183–195 (2008)
Dewan, A.M., Islam, M.M., Kumamoto, T., Nishigaki, M.: Evaluating flood hazard for land-use planning in Greater Dhaka of Bangladesh using remote sensing and GIS techniques. Water Resour. Manag. 21, 1601–1612 (2007)
Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)
Acknowledgment
This work is supported by the key research project in the thirteenth Five-Year Plan (2016YFC0402402), Key project of water conservancy science and technology by Henan province (GG201518). The National Natural Science Foundation of China (No. 51079131, and No. 51509223). The authors are grateful to colleagues and friends who shared their meteorological and hydrological data with us. We also thank reviewer for insightful comments that improved an earlier version of this manuscript.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Lin, L., Hu, C., Wu, Z. (2017). Assessment of Flood Hazard Based on Underlying Surface Change by Using GIS and Analytic Hierarchy Process. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-10-3966-9_65
Download citation
DOI: https://doi.org/10.1007/978-981-10-3966-9_65
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3965-2
Online ISBN: 978-981-10-3966-9
eBook Packages: Computer ScienceComputer Science (R0)