Citation: | Zhaoyang Zeng, Zhaoli Wang, Chengguang Lai. Simulation Performance Evaluation and Uncertainty Analysis on a Coupled Inundation Model Combining SWMM and WCA2D[J]. International Journal of Disaster Risk Science, 2022, 13(3): 448-464. doi: 10.1007/s13753-022-00416-3 |
Abebe, Y.A., A. Ghorbani, I. Nikolic, Z. Vojinovic, and A. Sanchez. 2019. A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management. Environmental Modelling & Software 111:483-492.
|
Bates, P.D., M.S. Horritt, and T.J. Fewtrell. 2010. A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling. Journal of Hydrology 387(1-2):33-45.
|
Bruni, G., R. Reinoso, N.C. van de Giesen, F.H.L.R. Clemens, and J.A.E. ten Veldhuis. 2015. On the sensitivity of urban hydrodynamic modelling to rainfall spatial and temporal resolution. Hydrology and Earth System Sciences 19(2):691-709.
|
Chen, A.S., B. Evans, S. Djordjevi, and D.A. Savić. 2012. A coarse-grid approach to representing building blockage effects in 2D urban flood modelling. Journal of Hydrology 426:1-16.
|
Chen, B., F. Shi, T. Lin, P. Shi, and J. Zheng. 2020. Intensive versus extensive events? Insights from cumulative flood-induced mortality over the globe, 1976-2016. International Journal of Disaster Risk Science 11(4):441-451.
|
Chen, W., G. Huang, H. Zhang, and W. Wang. 2018. Urban inundation response to rainstorm patterns with a coupled hydrodynamic model:A case study in Haidian island, China. Journal of Hydrology 564:1022-1035.
|
Donat, M.G., A.L. Lowry, L.V. Alexander, P.A. O'Gorman, and N. Maher. 2017. More extreme precipitation in the world's dry and wet regions. Nature Climate Change 7(2):154-158.
|
Dottori, F., and E. Todini. 2011. Developments of a flood inundation model based on the cellular automata approach:Testing different methods to improve model performance. Physics and Chemistry of the Earth 36(7-8):266-280.
|
Dung, N.V., B. Merz, A. Bárdossy, T.D. Thang, and H. Apel. 2010. Multi-objective automatic calibration of hydrodynamic models utilizing inundation maps and gauge data. Hydrology and Earth System Sciences 15(4):1339-1354.
|
Ghimire, B., A.S. Chen, M. Guidolin, E.C. Keedwell, S. Djordjević, and D.A. Savić. 2013. Formulation of a fast 2d urban pluvial flood model using a cellular automata approach. Journal of Hydroinformatics 15(3):676-686.
|
Gires, A., C. Onof, C. Maksimovic, D. Schertzer, I. Tchiguirinskaia, and N. Simoes. 2012. Quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling:A case study. Journal of Hydrology 442-443:117-128.
|
Glenis, V., V. Kutija, and C.G. Kilsby. 2018. A fully hydrodynamic urban flood modelling system representing buildings, green space and interventions. Environmental Modelling & Software 109:272-292.
|
Guidolin, M., A.S. Chen, B. Ghimire, E.C. Keedwell, S. Djordjević, and D.A. Savić. 2016. A weighted cellular automata 2D inundation model for rapid flood analysis. Environmental Modelling & Software 84:378-394.
|
Güneralp, B., İ Güneralp, and Y. Liu. 2015. Changing global patterns of urban exposure to flood and drought hazards. Global Environmental Change 31:217-225.
|
Hou, J., Q. Liang, H. Zhang, and R. Hinkelmann. 2015. An efficient unstructured MUSCL scheme for solving the 2D shallow water equations. Environmental Modelling & Software 66:131-152.
|
Hu, X., M. Wang, K. Liu, D. Gong, and H. Kantz. 2021. Using climate factors to estimate flood economic loss risk. International Journal of Disaster Risk Science 12(5):731-744.
|
Jamali, B., P.M. Bach, L. Cunningham, and A. Deletic. 2019. A cellular automata fast flood evaluation (CA-ffé) model. Water Resources Research 55(6):4936-4953.
|
Karamouz, M., and M. Fereshtehpour. 2019. Modeling DEM errors in coastal flood inundation and damages:A spatial nonstationary approach. Water Resources Research 55(8):6606-6624.
|
Lai, C., X. Chen, Z. Wang, H. Yu, and X. Bai. 2020. Flood risk assessment and regionalization from past and future perspectives at basin scale. Risk Analysis 40:1399-1417.
|
Lai, C., Q. Shao, X. Chen, Z. Wang, X. Zhou, B. Yang, and L. Zhang. 2016. Flood risk zoning using a rule mining based on ant colony algorithm. Journal of Hydrology 542:268-280.
|
Leitão, J.P., and L.M. de Sousa. 2018. Towards the optimal fusion of high-resolution Digital Elevation Models for detailed urban flood assessment. Journal of Hydrology 561:651-661.
|
Li, Q., Q. Liang, & X. Xia. 2020a. A novel 1D-2D coupled model for hydrodynamic simulation of flows in drainage networks. Advances in Water Resources 137:Article 103519.
|
Li, S., Z. Wang, C. Lai, and G. Lin. 2020b. Quantitative assessment of the relative impacts of climate change and human activity on flood susceptibility based on a cloud model. Journal of Hydrology 588:Article 125051.
|
Li, S., Z. Wang, X. Wu, Z. Zeng, P. Shen and C. Lai. 2022. A novel spatial optimization approach for the cost-effectiveness improvement of LID practices based on SWMM-FTC. Journal of Environmental Management 307:Article 114574.
|
Li, Y., Z. Zhang, S. Gong, M. Liu, and Y. Zhao. 2020c. Risk assessment of rainstorm disasters under different return periods:A case study of Bohai Rim, China. Ocean and Coastal Management 187:Article 105107.
|
Liu, J., W. Shao, C. Xiang, C. Mei, and Z. Li. 2020. Uncertainties of urban flood modeling:Influence of parameters for different underlying surfaces. Environmental Research 182:Article 108929.
|
Noh, S.J., J.-H. Lee, S. Lee, K. Kawaike, and D.-J. Seo. 2018. Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization. Environmental Modelling & Software 103:131-145.
|
Ochoa-Rodriguez, S., L.-P. Wang, A. Gires, R.D. Pina, R. Reinoso-Rondinel, G. Bruni, A. Ichiba, and S. Gaitan et al. 2015. Impact of spatial and temporal resolution of rainfall inputs on urban hydrodynamic modelling outputs:A multi-catchment investigation. Journal of Hydrology 531(2):389-407.
|
Ozdemir, H., C.C. Sampson, G.A.M. de Almeida, and P.D. Bates. 2013. Evaluating scale and roughness effects in urban flood modelling using terrestrial lidar data. Hydrology and Earth System Sciences 17(10):4015-4030.
|
Sanders, B.F., J.E. Schubert, and R.L. Detwiler. 2010. ParBreZo:A parallel, unstructured grid, Godunov-type, shallow-water code for high-resolution flood inundation modeling at the regional scale. Advances in Water Resources 33(12):1456-1467.
|
Smith, B.K., J.A. Smith, M.L. Baeck, G. Villarini, and D.B. Wright. 2013. Spectrum of storm event hydrologic response in urban watersheds. Water Resources Research 49(5):2649-2663.
|
Smith, L.S., and Q. Liang. 2013. Towards a generalised GPU/CPU shallow-flow modelling tool. Computers & Fluids 88:334-343.
|
Swain, D.L., B. Langenbrunner, J.D. Neelin, and A. Hall. 2018. Increasing precipitation volatility in twenty-first-century California. Nature Climate Change 8(5):427-433.
|
Tanaka, T., Y. Tachikawa, Y. Ichikawa, and K. Yorozu. 2019. An automatic domain updating method for fast 2-dimensional flood-inundation modelling. Environmental Modelling & Software 116:110-118.
|
Teng, J., A.J. Jakeman, J. Vaze, B.F.W. Croke, D. Dutta, and S. Kim. 2017. Flood inundation modelling:A review of methods, recent advances and uncertainty analysis. Environmental Modelling & Software 90:201-216.
|
Tsubaki, R., and Y. Kawahara. 2013. The uncertainty of local flow parameters during inundation flow over complex topographies with elevation errors. Journal of Hydrology 486:71-87.
|
Vacondio, R., F. Aureli, A. Ferrari, P. Mignosa, and A.D. Palù. 2016. Simulation of the January 2014 flood on the Secchia River using a fast and high-resolution 2D parallel shallow-water numerical scheme. Natural Hazards 80(1):103-125.
|
Wang, L.-P., S. Ochoa-Rodríguez, J.V. Assel, R.D. Pina, M. Pessemier, S. Kroll, P. Willems, and C. Onof. 2015. Enhancement of radar rainfall estimates for urban hydrology through optical flow temporal interpolation and Bayesian gauge-based adjustment. Journal of Hydrology 531(Part 2):408-426.
|
Wang, Z., C. Lai, X. Chen, B. Yang, S. Zhao, and X. Bai. 2015. Flood hazard risk assessment model based on random forest. Journal of Hydrology 527:1130-1141.
|
Wang, Z., Z. Zeng, C. Lai, W. Lin, X. Wu, and X. Chen. 2017. A regional frequency analysis of precipitation extremes in Mainland China with fuzzy c-means and L-moments approaches. International Journal of Climatology 37(S1):429-444.
|
Wang, Y., A.S. Chen, G. Fu, S. Djordvević, C. Zhang, and D.A. Savić. 2018. An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features. Environmental Modelling & Software 107:85-95.
|
Wildemeersch, S., P. Goderniaux, Ph. Orban, S. Brouyère, and A. Dassargues. 2014. Assessing the effects of spatial discretization on large-scale flow model performance and prediction uncertainty. Journal of Hydrology 510:10-25.
|
Willis, T., N. Wright, and A. Sleigh. 2019. Systematic analysis of uncertainty in 2D flood inundation models. Environmental Modelling & Software 122:Article 104520.
|
Wu, X., Z. Wang, S. Guo, W. Liao, Z. Zeng, and X. Chen. 2017. Scenario-based projections of future urban inundation within a coupled hydrodynamic model framework:A case study in Dongguan city, China. Journal of Hydrology 547:428-442.
|
Wu, X., Z. Wang, S. Guo, C. Lai, and X. Chen. 2018. A simplified approach for flood modeling in urban environments. Hydrology Research 49(6):1804-1816.
|
Xing, Y., Q. Liang, G. Wang, X. Ming, and X. Xia. 2019. City-scale hydrodynamic modelling of urban flash floods:The issues of scale and resolution. Natural Hazards 96(1):473-496.
|
Xu, K., J. Fang, Y. Fang, Q. Sun, C. Wu, and M. Liu. 2021. The importance of Digital Elevation Model selection in flood simulation and a proposed method to reduce DEM errors:A case study in Shanghai. International Journal of Disaster Risk Science 12(6):890-902.
|
Yang, L., J.A. Smith, M.L. Baeck, and Y. Zhang. 2016. Flash flooding in small urban watersheds:Storm event hydrologic response. Water Resources Research 52(6):4571-4589.
|
Yin, D., B. Evans, Q. Wang, Z. Chen, H. Jia, A.S. Chen, G. Fu, S. Ahmad, and L. Leng. 2020. Integrated 1D and 2D model for better assessing runoff quantity control of low impact development facilities on community scale. Science of the Total Environment 597:Article 137630.
|
Yin, J., N. Lin, and D. Yu. 2016. Coupled modeling of storm surge and coastal inundation:A case study in New York City during Hurricane Sandy. Water Resources Research 52(11):8685-8699.
|
Yu, D. 2010. Parallelization of a two-dimensional flood inundation model based on domain decomposition. Environmental Modelling & Software 25(8):935-945.
|
Yu, D., and T.J. Coulthard. 2015. Evaluating the importance of catchment hydrological parameters for urban surface water flood modelling using a simple hydro-inundation model. Journal of Hydrology 524:385-400.
|
Yu, D., J. Yin, and M. Liu. 2016. Validating city-scale surface water flood modelling using crowd-sourced data. Environmental Research Letters 11(12):Article 124011.
|
Zhang, M., M. Xu, Z. Wang, and C. Lai. 2021. Assessment of the vulnerability of road networks to urban waterlogging based on a coupled hydrodynamic model. Journal of Hydrology 603(Part C):Article 127105.
|
Zhang, Q., X. Gu, V.P. Singh, P. Shi, and P. Sun. 2018a. More frequent flooding? Changes in flood frequency in Pearl River basin, China since 1951 and over the past 1000 years. Hydrology and Earth System Sciences 22(5):2637-2653.
|
Zhang, W., G. Villarini, G.A. Vecchi, and J.A. Smith. 2018b. Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston. Nature 563(7731):384-388.
|
Zhang, X., F.W. Zwiers, G. Li, H. Wan, and A.J. Cannon. 2017. Complexity in estimating past and future extreme short-duration rainfall. Nature Geoscience 10(4):255-259.
|
Zhao, G., Z. Xu, B. Pang, T. Tu, L. Xu, and L. Du. 2019. An enhanced inundation method for urban flood hazard mapping at the large catchment scale. Journal of Hydrology 571:873-882.
|
Zhou, Y., D. Shen, N. Huang, Y. Guo, T. Zhang, and Y. Zhang. 2019. Urban flood risk assessment using storm characteristic parameters sensitive to catchment-specific drainage system. Science of the Total Environment 659:1362-1369.
|