Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: A case study of Fuzhou City, China

Hydrology and Earth System Sciences

Volumn 17, Issue 2, 2013, Pages 679-689

  Lian, J J ^a   Xu, K ^a   Ma, C ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COASTAL CITIES; COMBINED EFFECT; COMPLEX RIVER NETWORK; CONVEYANCE CAPACITY; FLOOD DEFENSE; FLOOD FREQUENCY; FLOOD RISKS; FUZHOU CITIES; HEAVY PRECIPITATION; HEAVY RAINFALL; HYDRODYNAMIC MODEL; JOINT PROBABILITY; MULTI VARIABLES; MULTIPLE SOURCE; PRECIPITATION INTENSITY; RECEIVING WATER BODIES; RETURN PERIODS; RISK PROBABILITIES; RIVER NETWORK; THRESHOLD CONDITION; TIDAL LEVEL;

COMPLEX NETWORKS; LASERS; PROBABILITY; PUMPS; RAIN; RISK PERCEPTION; RIVERS; SEA LEVEL; TIDE GAGES;

FLOODS;

COASTAL ZONE; DATA SET; FLOOD CONTROL; FLOOD FREQUENCY; FLOODING; HYDRODYNAMICS; PRECIPITATION (CLIMATOLOGY); RAINFALL; RETURN PERIOD; RISK ASSESSMENT; RIVER SYSTEM; TIDAL CYCLE; TYPHOON; VULNERABILITY;

CHINA; FUJIAN; FUZHOU;

EID: 84873922419     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-17-679-2013     Document Type: Article

References (43)

1. Adelekan, I. O.: Vulnerability assessment of an urban flood in Nigeria: Abeokuta flood 2007, Nat. Hazards, 56, 215-231, doi:10.1007/s11069-010-9564-z, 2010.
2. AghaKouchak, A., Bárdossy, A., and Habib, E.: Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula, Adv. Water Resour., 33, 624-634, doi:10.1016/j.advwatres.2010.02.010, 2010.
3. Apel, H., Aronica, G. T., Kreibich, H., and Thieken, A. H.: Flood risk analyses-how detailed do we need to be?, Natural Hazards, 49, 79-98, doi:10.1007/s11069-008-9277-8, 2008.
4. Archetti, R., Bolognesi, A., Casadio, A., and Maglionico, M.: Development of flood probability charts for urban drainage network in coastal areas through a simplified joint assessment approach, Hydrol. Earth Syst. Sci., 15, 3115-3122, doi:10.5194/hess-15-3115-2011, 2011.
5. Bacchi, B., Becciu, G., and Kottegoda, N. T.: Bivariate exponential model applied to intensities and durations of extreme rainfall, J. Hydrol., 155, 225-236, 1994.
6. Balistrocchi, M. and Bacchi, B.: Modelling the statistical dependence of rainfall event variables through copula functions, Hy-drol. Earth Syst. Sci., 15, 1959-1977, doi:10.5194/hess-15-1959-2011, 2011.
7. Bárdossy, A. and Pegram, G. G. S.: Copula based multisite model for daily precipitation simulation, Hydrol. Earth Syst. Sci., 13, 2299-2314, doi:10.5194/hess-13-2299-2009, 2009.
8. Chang, H., Franczyk, J., and Kim, C.: What is responsible for increasing flood risks? The case of Gangwon Province, Korea, Nat. Hazards, 48, 339-354, doi:10.1007/s11069-008-9266-y, 2008.
9. Cheng, C. T., Zhao, M. Y., Chau, K. W., and Wu, X. Y.: Using genetic algorithm and TOPSIS for Xinanjiang model calibration with a single procedure, J. Hydrol., 316, 129-140, 2006.
10. Dawson, R., Hall, J., Sayers, P., Bates, P., and Rosu, C.: Sampling-based flood risk analysis for fluvial dike systems, Stoch. Environ. Res. Risk Assess., 19, 388-402, doi:10.1007/s00477-005-0010-9, 2005.
11. Dawson, R. J., Speight, L., Hall, J. W., Djordjevic, S., Savic, D., and Leandro, J.: Attribution of flood risk in urban areas, J. Hydroin-form., 10, 275-288, doi:10.2166/hydro.2008.054, 2008.
12. De Michele, C., Salvadori, G., Passoni, G., and Vezzoli, R.: A multi-variate model of sea storms using copulas, Coast. Eng., 54, 734-751, doi:10.1016/j.coastaleng.2007.05.007, 2007.
13. Ernst, J., Dewals, B. J., Detrembleur, S., Archambeau, P., Erpicum, S., and Pirotton, M.: Micro-scale flood risk analysis based on detailed 2D hydraulic modelling and high resolution geographic data, Nat. Hazards, 55, 181-209, doi:10.1007/s11069-010-9520-y, 2010.
14. Fan, C., Ko, C. H., and Wang, W. S.: An innovative modeling approach using Qual2K and HEC-RAS integration to assess the impact of tidal effect on River Water quality simulation, J. Environ. Manage., 90, 1824-1832, doi:10.1016/j.jenvman.2008.11.011, 2009.
15. Grimaldi, S. and Serinaldi, F.: Asymmetric copula in multivariate flood frequency analysis, Adv. Water Resour., 29, 1155-1167, doi:10.1016/j.advwatres. 2005.09.005, 2006.
16. Guo, J.: Rational Hydrograph Method for Small Urban Watersheds, J. Hydrol. Eng., 6, 352-356, doi:10.1061/(ASCE)1084-0699(2001)6:4(352), 2001.
17. Hadjimitsis, D. G.: Brief communication "Determination of urban growth in catchment areas in Cyprus using multi-temporal remotely sensed data: risk assessment study", Nat. Hazards Earth Syst. Sci., 10, 2235-2240, doi:10.5194/nhess-10-2235-2010, 2010.
18. Hall, J. W., Sayers, P. B., and Dawson, R. J.: National-scale assessment of current and future flood risk in England and Wales, Nat. Hazards, 36, 147-164, 2005.
19. Hu, C., Guo, S., Xiong, L., and Peng, D.: A modified Xinanjiang model and its application in northern China, Nord. Hydrol., 36, 175-192, 2005.
20. Kelly, K. S. and Krzysztofowicz, R.: A bivariate meta-Gaussian density for use in hydrology, Stoch. Hydrol. Hydraul., 11, 17-31, 1997.
21. Knebl, M. R., Yang, Z. L., Hutchison, K., and Maidment, D. R.: Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event, J. Environ. Manage., 75, 325-336, doi:10.1016/j.jenvman.2004.11.024, 2005.
22. Kok, J.-L. and Grossmann, M.: Large-scale assessment of flood risk and the effects of mitigation measures along the Elbe River, Nat. Hazards, 52, 143-166, doi:10.1007/s11069-009-9363-6, 2009.
23. Lee, K. T., Ho, Y. H., and Chyan, Y. J.: Bridge Blockage and Over-bank Flow Simulations Using HEC-RAS in the Keelung River during the 2001 Nari Typhoon, J. Hydraul. Eng., 132, 319-323, 2006.
24. Long, D. and Krzysztofowicz, R.: Farlie-Gumbel-Morgenstern bi-variate densities: Are they applicable in hydrology?, Stoch. Hy-drol. Hydraul., 6, 47-54, 1992.
25. Mazzorana, B., Comiti, F., Scherer, C., and Fuchs, S.: Developing consistent scenarios to assess flood hazards in mountain streams, J. Environ. Manage., 94, 112-124, doi:10.1016/j.jenvman.2011.06.030, 2012.
26. Merz, B., Kreibich, H., Schwarze, R., and Thieken, A.: Review article "Assessment of economic flood damage", Nat. Hazards Earth Syst. Sci., 10, 1697-1724, doi:10.5194/nhess-10-1697-2010, 2010.
27. Ngo, L. L., Madsen, H., Rosbjerg, D., and Pedersen, C. B.: Implementation and Comparison of Reservoir Operation Strategies for the Hoa Binh Reservoir, Vietnam using the Mike 11 Model, Water Resour. Manag., 22, 457-472, doi:10.1007/s11269-007-9172-1, 2007.
28. Ni, J., Sun, L., Li, T., Huang, Z., and Borthwick, A. G.: Assessment of flooding impacts in terms of sustainability in Mainland China, J. Environ. Manage., 91, 1930-1942, doi:10.1016/j.jenvman.2010.02.010, 2010.
29. Pathirana, A., Tsegaye, S., Gersonius, B., and Vairavamoorthy, K.: A simple 2-D inundation model for incorporating flood damage in urban drainage planning, Hydrol. Earth Syst. Sci., 15, 2747-2761, doi:10.5194/hess-15-2747- 2011, 2011.
30. Plate, E. J.: Flood risk and flood management, J. Hydrol., 267, 2-11, 2002.
31. Ren-Jun, Z.: The Xinanjiang model applied in China, J. Hydrol., 135, 371-381, 1992.
32. Renard, B. and Lang, M.: Use of a Gaussian copula for multivariate extreme value analysis: Some case studies in hydrology, Adv. Water Resour., 30, 897-912, doi:10.1016/j.advwatres.2006.08.001, 2007.
33. Rodriguez, L. B., Cello, P. A., Vionnet, C. A., and Goodrich, D.: Fully conservative coupling of HEC-RAS with MODFLOW to simulate stream-aquifer interactions in a drainage basin, J. Hy-drol., 353, 129-142, doi:10.1016/j.jhydrol.2008.02.002, 2008.
34. Rulli, M. C. and Rosso, R.: An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bis-agno River by combining stochastic and deterministic methods, Hydrol. Earth Syst. Sci., 6, 267-284, doi:10.5194/hess-6-267-2002, 2002.
35. Samuels, P., Klijn, F., and Dijkman, J.: An analysis of the current practice of policies on river flood risk management in different countries, Irrig. Drain., 55, S141-S150, doi:10.1002/ird.257, 2006.
36. Skaugen, T.: Modelling the spatial variability of snow water equivalent at the catchment scale, Hydrol. Earth Syst. Sci., 11, 1543-1550, doi:10.5194/hess-11-1543-2007, 2007.
37. Sklar, A.: Fonctions de répartition à n dimensions et leurs marges, Publ. Inst. Statist. Univ. Paris, 8, 229-231, 1959.
38. te Linde, A. H., Bubeck, P., Dekkers, J. E. C., de Moel, H., and Aerts, J. C. J. H.: Future flood risk estimates along the river Rhine, Nat. Hazards Earth Syst. Sci., 11, 459-473, doi:10.5194/nhess-11-459-2011, 2011.
39. van den Berg, M. J., Vandenberghe, S., De Baets, B., and Ver-hoest, N. E. C.: Copula-based downscaling of spatial rainfall: a proof of concept, Hydrol. Earth Syst. Sci., 15, 1445-1457, doi:10.5194/hess-15-1445-2011, 2011.
40. Wang, C., Chang, N.-B., and Yeh, G.-T.: Copula-based flood frequency (COFF) analysis at the confluences of river systems, Hy-drol. Process., 23, 1471-1486, doi:10.1002/hyp.7273, 2009.
41. Wang, C., Wan, T. R., and Palmer, I. J.: Urban flood risk analysis for determining optimal flood protection levels based on digital terrain model and flood spreading model, Vis. Comput., 26, 1369-1381, doi:10.1007/s00371-009-0414- 5, 2010.
42. Youssef, A. M., Pradhan, B., and Hassan, A. M.: Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery, Environ. Earth Sci., 62, 611-623, doi:10.1007/s12665-010-0551-1, 2010.
43. Yue, S., Ouarda, T., Bobée, B., Legendre, P., and Bruneau, P.: The Gumbel mixed model for flood frequency analysis, J. Hydrol., 226, 88-100, 1999.