Exploring the hydrologic response to the urban building coverage ratio by model simulation
Tóm tắt
The increasing building coverage ratio accompanied by the increase in impervious surfaces during the urbanization process may change the flow concentration conditions, but little attention has been given to this issue. This study aims to explore the hydrologic response to the building coverage ratio in small catchments. A representative urban region in Nankai District, Tianjin city, was selected as the study area. Different building coverage ratio scenarios were designed and then simulated using the cellular automata dual-drainage simulation model (CADDIES-caflood). Maximum water depth (WD) and peak time (PT) were used as the metrics to assess the surface flow response. Three drainage capacities were set up to check the influence of drainage facilities. Moreover, the area inundation characteristics were analysed through the distribution of WD. The results showed that the WDs at the water collection points decreased and the PTs increased with increasing building coverage ratio for rainfall with a relatively lower return period, but the WD may increase for rainfall with a higher return period. When the drainage capacity increased, the WD showed a significant decreasing trend for rainfall with a higher return period. The proportion of inundated area had an obvious uptrend with 1 year return period rainfall but a downtrend trend with rainfall return periods greater than 2 years. The mean value of the WDs of the water points increased with increasing building coverage ratio, while the skewness and kurtosis all declined. These findings may offer a new perspective on urban runoff risk mitigation.
Tài liệu tham khảo
Berland A, Shiflett SA, Shuster WD, Garmestani AS, Goddard HC, Herrmann DL, Hopton ME (2017) The role of trees in urban stormwater management. Landsc Urban Plan 162:167–177
Casal-Campos A, Fu G, Butler D, Moore A (2015) An integrated environmental assessment of green and gray infrastructure strategies for robust decision making. Environ Sci Technol 49:8307–8314
Chen Y, Zhou H, Zhang H, et al (2015) Urban flood risk warning under rapid urbanization. Environ Res 139:3–10. https://doi.org/10.1016/j.envres.2015.02.028
Dams J, Dujardin J, Reggers R, Bashir I, Canters F, Batelaan O (2013) Mapping impervious surface change from remote sensing for hydrological modeling. J Hydrol 485:84–95
Environment Agency (2013) What Is the Updated Flood Map for Surface Water? (No. Report Version 1.0). Bristol, UK
Finkenbine JK, Atwater JW, Mavinic DS (2000) Stream health after urbanization. J Am Water Resour Assoc 36:1149–1160
Fu G, Butler D, Khu ST, Sun SA (2011) Imprecise probabilistic evaluation of sewer flooding in urban drainage systems using random set theory. Water Resour Res 47:W02534
Ghimire B, Chen AS, Guidolin M et al (2013) Formulation of a fast 2D urban pluvial flood model using a cellular automata approach. J Hydroinf 15:676–686. https://doi.org/10.2166/hydro.2012.245
Guidolin M, Chen AS, Ghimire B, Keedwell EC, Djordjević S, Savić DA (2016) A weighted cellular automata 2D inundation model for rapid flood analysis. Environ Model Softw 84:378–394
Hou JM, Guo KH, Wang ZL, Jing HX, Li DL (2017) Numerical simulation of design storm pattern effects on urban flood inundation. Adv Water Sci 28:820–828
Hundecha Y, Bárdossy A (2004) Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model. J Hydrol 292:281–295
Jacobson CR (2011) Identification and quantification of the hydrological impacts of imperviousness in urban catchments: a review. J Environ Manag 92:1438–1448
Jha AK, Bloch R, Lamond J (2012) Cities and flooding: a guide to integrated urban flood risk management for the 21st century. World Bank Publications, Washington, DC
Konrad CP, Booth DB (2005) Hydrologic changes in urban streams and their ecological significance. Am Fish Soc Symp 47:157–177
Leandro J, Djordjević S, Chen AS, Savić DA, Stanić M (2011) Calibration of a 1D/1D urban flood model using 1D/2D model results in the absence of field data. Water Sci Technol 64:1016
Li S, Xing G, Liu H, Ji M (2013) Developing low-impact green Stormwater infrastructure in Tianjin City. Bull Soil Water Conserv 33:147–150
Liao ZL, He Y, Huang F, Wang S, Li HZ (2013) Analysis on LID for highly urbanized areas’ waterlogging control: demonstrated on the example of Caohejing in Shanghai. Water Sci Technol 68:2559–2567
Mei C, Liu J, Wang H et al (2017) Review on urban design rainstorm. Chin Sci Bull 62:3873–3884
Meierdiercks KL, Smith JA, Baeck ML, Miller AJ (2010) Analyses of urban drainage network structure and its impact on hydrologic response. J Am Water Resour Assoc 46:932–943
Mejía AI, Moglen GE (2009) Spatial patterns of urban development from optimization of flood peaks and imperviousness-based measures. J Hydrol Eng 14:416–424. https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(416)
Mendicino G, Senatore A, Spezzano G, Straface S (2006) Three-dimensional unsaturated flow modeling using cellular automata. Water Resour Res 42:W11419
Moglen GE (2009) Hydrology and impervious areas. J Hydrol Eng 14:303–304. https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(303)
Muma M, Assani AA, Landry R, Quessy J, Mesfioui M (2011) Effects of the change from forest to agriculture land use on the spatial variability of summer extreme daily flow characteristics in southern Quebec (Canada). J Hydrol 407:153–163
Murray AB, Paola C (1994) A cellular model of braided rivers. Nature 371:54–57. https://doi.org/10.1038/371054a0
Ogden FL, Raj Pradhan N, Downer CW, Zahner JA (2011) Relative importance of impervious area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment. Water Resour Res 47:W12503. https://doi.org/10.1029/2011WR010550
Olivera F, DeFee BB (2007) Urbanization and its effect on runoff in the Whiteoak Bayou watershed, Texas. J Am Water Resour Assoc 43:170–182
Palla A, Gnecco I (2015) Hydrologic modeling of low impact development systems at the urban catchment scale. J Hydrol 528:361–368
Qin H, Li Z, Fu G (2013) The effects of low impact development on urban flooding under different rainfall characteristics. J Environ Manag 129:577–585
Ravazzani G, Rametta D, Mancini M (2011) Macroscopic cellular automata for groundwater modelling: a first approach. Environ Model Softw 26:634–643
Schueler TR, Fraley-McNeal L, Cappiella K (2009) Is impervious cover still important? Review of recent research. J Hydrol Eng 14:309–315. https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(309)
Shao Q, Weatherley D, Huang L, Baumgartl T (2015) RunCA: a cellular automata model for simulating surface runoff at different scales. J Hydrol 529:816–829
Smith JA, Baeck ML, Morrison JE et al (2002) The regional hydrology of extreme floods in an urbanizing drainage basin. J Hydrometeorol 3:267–282
Trudeau MP, Richardson M (2015) Change in event-scale hydrologic response in two urbanizing watersheds of the Great Lakes St Lawrence Basin 1969–2010. J Hydrol 527:1174–1188. https://doi.org/10.1016/j.jhydrol.2015.04.031
Vos PEJ, Maiheu B, Vankerkom J, Janssen S (2013) Improving local air quality in cities: to tree or not to tree? Environ Pollut 183:113–122. https://doi.org/10.1016/j.envpol.2012.10.021
Wang Y, Chen AS, Fu G, Djordjević S, Zhang C, Savić DA (2018) An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features. Environ Model Softw 107:85–95
Xie J, Chen H, Liao Z, et al (2017) An integrated assessment of urban flooding mitigation strategies for robust decision making. Environ Model Softw 95:143–155. https://doi.org/10.1016/j.envsoft.2017.06.027
Yang GX, Bowling LC, Cherkauer KA, Pijanowski BC (2011) The impact of urban development on hydrologic regime from catchment to basin scales. Landsc Urban Plan 103:237–247
Yao L, Chen L, Wei W (2016) Assessing the effectiveness of imperviousness on stormwater runoff in micro urban catchments by model simulation. Hydrol Process 30:1836–1848
Yao L, Chen L, Wei W (2017) Exploring the linkage between urban flood risk and spatial patterns in small urbanized catchments of Beijing, China. Int J Environ Res Public Health 14:239. https://doi.org/10.3390/ijerph14030239
Zhang Y, Shuster W (2014) Impacts of spatial distribution of impervious areas on runoff response of hillslope catchments: simulation study. J Hydrol Eng 19:1089–1100. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000905
Zhou CH, Jiao FY, Wang JH (2010) Study on causes and countermeasures of rainstorm flooding in Tianjin. Haihe Water Resour 05:14–15 (in Chinese)