Prospects of eco-hydrological model for sponge city construction

References

• Ahiablame, L., and Shakya, R. 2016. “Modeling Flood Reduction Effects of Low Impact Development at a Watershed Scale.” Journal of Environmental Management 171 (Apr.15): 81–18. doi:https://doi.org/10.1016/j.jenvman.2016.01.036.
   Google Scholar
• Alberti, M., Booth, D., Hill, K. Coburn, B., et al. 2007. “The Impact of Urban Patterns on Aquatic Ecosystems: An Empirical Analysis in Puget Lowland Sub-basins.” Landscape and Urban Planning 80 (4): 345–361. doi:https://doi.org/10.1016/j.landurbplan.2006.08.001.
   Web of Science ®Google Scholar
• Allen, T. F. H., and Starr, T. B. 1982. Hierarchy: Perspectives for Ecological Complexity. Chicago: University of Chicago Press.
   Google Scholar
• Arai, K., and Basuki, A. 2012. “Hot Mudflow Disaster that Occurred in Sidoarjo Area, Indonesia and Prediction Model and Simulation Based on Cellular Automata.” Journal of the Japan Society of Photogrammetry and Remote Sensing 49 (3): 149–158. doi:https://doi.org/10.4287/jsprs.49.149.
   Google Scholar
• Arnold, J. G., and Fohrer, N. 2005. “SWAT2000: Current Capabilities and Research Opportunities in Applied Watershed Modelling.” Hydrological Processes 19 (3): 563–572. doi:https://doi.org/10.1002/hyp.5611.
   Web of Science ®Google Scholar
• Axel, B., Daniel, N., and Gerd, B. 2002. “Effects of Climate and Land‐use Change on Storm Runoff Generation: Present Knowledge and Modelling Capabilities.” Hydrological Processes 16 (2): 509–529. doi:https://doi.org/10.1002/hyp.326.
   Web of Science ®Google Scholar
• Baldwin, D. J. B., Weaver, K., Schnekenburger, F. and Perera, H.A. 2004. “Sensitivity of Landscape Pattern Indices to Input Data Characteristics on Real Landscapes: Implications for Their Use in Natural Disturbance Emulation.” Landscape Ecology 19 (3): 255–271. doi:https://doi.org/10.1023/B:LAND.0000030442.96122.ef.
   Web of Science ®Google Scholar
• Qiu, B.-X. 2015. “Connotation, Approach and Prospect of Sponge City (LID).” Geomatics World, 3: 1–7. (in Chinese). doi:https://doi.org/10.13789/j.cnki.wwe1964.2015.0069.
   Google Scholar
• Bates, P. D., Horritt, M. S., and Fewtrell, T. J. 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. doi:https://doi.org/10.1016/j.jhydrol.2010.03.027.
   Web of Science ®Google Scholar
• Berthier, E., Dupont, S., Mestayer, P. G. and Andrieu, H. 2006. “Comparison of Two Evapotranspiration Schemes on a Sub-urban Site.” Journal of Hydrology 328 (3–4): 635–646. doi:https://doi.org/10.1016/j.jhydrol.2006.01.007.
   Web of Science ®Google Scholar
• Cai, L.-H. 2016. “Introduction of Hydrological and Hydraulic Models for Sponge City.” Landscape Architecture, (2): 33–43. (in Chinese). doi:https://doi.org/10.14085/j.fjyl.2016.02.0033.11.
   Google Scholar
• Cen, G.-P., Zhan, D.-J., and Hong, J.-N. 1993. “Calculation Model of Urban Rainwater Pipeline.” China Water and Wastewater, (1): 37–40. (in Chinese). doi:https://doi.org/10.19853/j.zgjsps.1000-4602.1993.01.011.
   Google Scholar
• Chase, C. G. 1992. “Fluvial Landsculpting and the Fractal Dimension of Topography.” Geomorphology 12 (5): 39–57. doi:https://doi.org/10.1016/0169-555X(92)90057-U.
   Google Scholar
• Che, S.-Q., Xie, C.-K., Chen, D., Yu, B.-Q. 2015. “Development and Constructive Approaches for Theories and Technologies of Sponge City System.” Chinese Landscape Architecture (in Chinese) 031(6):11–15. doi:https://doi.org/10.3969/j.1000-6664.2015.06.003.
   Google Scholar
• Chen, J., Hill, A. A., and Urbano, L. D. 2009. “A GIS- Based Model for Urban Flood Inundation.” Journal of Hydrology 373 (1): 184–192. doi:https://doi.org/10.1016/j.jhydrol.2009.04.021.
   Web of Science ®Google Scholar
• Chen, X.-Y., Zhang, N., and Wu, F.-F. 2014. “Impacts of Rainfall and Land Use on Urban Surface Runoff: A Case Study of Area Surrounding the North Moat in Beijing, China.” Journal of Natural Resources (in Chinese) 29 (8): 1391–1402. doi:https://doi.org/10.11849/zrzyxb.2014.08.011.
   Google Scholar
• Chidammodzi, C. L., and Muhandiki V. S. 2017. “Water Resources Management and Integrated Water Resources Management Implementation in Malawi: Status and Implications for Lake Basin Management.” Lakes and Reservoirs: Research and Management 22 (2): 101–114. doi:https://doi.org/10.1111/lre.12170.
   Google Scholar
• Chow, V. T., Maidment, D. R., and Mays, L. W. 1988. Applied Hydrology. New York: McGraw-Hill.
   Google Scholar
• Cline, T. J., Molinas A., and Julien, P. Y. 2010. “An Auto-cad-based Watershed Information System for the Hydrologic Model HEC-1.” Journal of the American Water Resources Association 25 (3): 641–652. doi:https://doi.org/10.1111/j.1752-1688.1989.tb03102.x.
   Google Scholar
• Cong, X.-Y., Ni, G.-H., Hui, S.-B., Tian, F.-Q., et al. 2006. “Simulation of Storm Waterlogging Value of Urban Interchange Bridges.” Urban Roads Bridges and Flood Control (2): 52–55+152. (in Chinese). doi:https://doi.org/10.16799/j.cnki.csdqyfh.2006.02.018.
   Google Scholar
• Coon, W. F., and Reddy, J. E. 2008. “Hydrologic and Water-quality Characterization and Modeling of the Onondaga Lake Basin, Onondaga County, New York.” USGS Scientific Investigations Report, 2008-5013 1–85. doi:https://doi.org/10.3133/sir20085013.
   Google Scholar
• DeFries, R., and Eshleman, K. N. 2004. “Land-use Change and Hydrologic Processes: A Major Focus for the Future.” Hydrological Processes 18 (11): 2183–2186. doi:https://doi.org/10.1002/hyp.5584.
   Web of Science ®Google Scholar
• Deng, S.-H, Zhang, X.-Y., Shao, Z.-Y, Yan, W.-T., et al. 2018. “An Integrated Urban Stormwater Model System Supporting the Whole Life Cycle of Sponge City Construction Programs in China.” Journal of Water and Climate Change 10 (5): 1–15. doi:https://doi.org/10.2166/wcc.2018.197.
   Google Scholar
• Zhao, D.-Q., Chen, J.-N., Tong, Q.-Y., Wang, H.-Z., et al. 2008. “Study on the Influence of Sub Catchment Division on SWMM Simulation Results.” Environmental Protection (8): 56–59. (in Chinese). doi:https://doi.org/10.3969/j.0253-9705.2008.08.019.
   Google Scholar
• Dottori, F., and Todini, E. 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. doi:https://doi.org/10.1016/j.pce.2011.02.004.
   Web of Science ®Google Scholar
• Downer, C. W., and Ogden, F. L. 2004. “GSSHA: Model to Simulate Diverse Stream Flow Producing Processes.” Journal of Hydrologic Engineering 9 (3): 161–174. doi:https://doi.org/10.1061/(ASCE)1084-0699(2004)9:3(161.
   Web of Science ®Google Scholar
• Elledge, A., and Thornton, C. 2017. “Effect Of Changing Land Use From Virgin Brigalow (Acacia harpophylla) woodland to a crop or pasture system on sediment, nitrogen and phosphorus in runoff over 25 years in subtropical Australia.” Agriculture, Ecosystems & Environment 239: 119–131. doi:https://doi.org/10.1016/j.agee.2016.12.031.
   Web of Science ®Google Scholar
• Endreny, T. A., and Thomas, K. E. 2009. “Improving Estimates of Simulated Runoff Quality and Quantity Using Road-enhanced Land Cover Data.” Journal of Hydrologic Engineering 14 (4): 346–351. doi:https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(346).
   Web of Science ®Google Scholar
• Erskine, R. H., Green, T. R., Ramirez, J. A., and MacDonald, L. H. 2006. “Comparison of Grid-based Algorithms for Computing Upslope Contributing Area.” Water Resources Research 42 (9): 2006. doi:https://doi.org/10.1029/2005WR004648.
   Web of Science ®Google Scholar
• Fairfield, J., and Leymarie, P. 1991. “Drainage Network from Grid Digital Elevation Models.” Water Resources Research 27 (5): 709–717. doi:https://doi.org/10.1029/90WR02658.
   Web of Science ®Google Scholar
• Favis-Mortlock, D. 1998. “A Self-organizing Dynamic Systems Approach to the Simulation of Rill Initiation and Development on Hillslopes.” Computerand and Geosciences 24 (4): 353–372. doi:https://doi.org/10.1016/S0098-3004(97)00116-7.
   Web of Science ®Google Scholar
• Feng, P., Fu, J., and Li, J.-Z. 2015. “Modelling Analysis of Effects of Underlying Surface Change on Flood Response.” Journal of Tianjin University (Science and Technology) 48 (3): 189–195. (in Chinese). doihttps://doi.org/10.11784/tdxbz201407034.
   Google Scholar
• Ferguson, B. K. 1992. “Landscape Hydrology, a Component of Landscape Ecology.” Journal of Environmental Systems 21 (3): 193–205. doi:https://doi.org/10.2190/8HLE-91G9-LP0R-XHYG.
   Web of Science ®Google Scholar
• Fletcher, T. D., Andrieu H., and Hamel P. 2013. “Understanding, Management and Modelling of Urban Hydrology and Its Consequences for Receiving Waters: A State of the Art.” Advances in Water Resources 51 (JAN): 261–279. doi:https://doi.org/10.1016/j.advwatres.2012.09.001.
   Google Scholar
• Fread, D. L. 1985. Hydrological Forecasting. Germany: Wiley.
   Google Scholar
• Gao, H., Sabo, J.-L., Chen, X., Liu, Z., et al. 2018. “Landscape Heterogeneity and Hydrological Processes: A Review of Landscape-based Hydrological Models.” Landscape Ecology 33 (9): 1461–1480. doi:https://doi.org/10.1007/s10980-018-0690-4.
   Web of Science ®Google Scholar
• Glavan, M., Pintar, M., and Volk, M. 2013. “Land Use Change in a 200-year Period and Its Effect on Blue and Green Water Flow in Two Slovenian Mediterranean Catchments-lessons for the Future.” Hydrological Processes 27 (26): 3964–3980. doi:https://doi.org/10.1002/hyp.9540.
   Web of Science ®Google Scholar
• Grimmond, C. S. B., and Oke, T. R. 1991. “An Evapotranspiration-interception Model for Urban Areas.” Water Resources Research 27 (7): 1739–1755. doi:https://doi.org/10.1029/91WR00557.
   Web of Science ®Google Scholar
• Guidolin, M., Chen, A. S., Ghimire, B., Keedwell, E. C., E. C., Keedwell, et al. 2016. “A Weighted Cellular Automata 2D Inundation Model for Rapid Flood Analysis.” Environmental Modelling and Software 84:378–394. doi:https://doi.org/10.1016/j.envsoft.2016.07.008.
   Web of Science ®Google Scholar
• Hakimdavar, R., Culligan, P. J., Finazzi, M., Barontini, S., et al. 2014. “Scale Dynamics of Extensive Green Roofs: Quantifying the Effect of Drainage Area and Rainfall Characteristics on Observed and Modeled Green Roof Hydrologic Performance.” Ecological Engineering 73 (2014): 494–508. doi:https://doi.org/10.1016/j.ecoleng.2014.09.080.
   Google Scholar
• Han, S.-W, Zhao, J.-M., Ye, S.-G., and University, C. A. 2014. “Simulation of Rainfall and Runoff in Upstream of Dashihe Basin Based on WMS.” Water Saving Irrigation, : 49–52+57. (in Chinese). doi:https://doi.org/10.3969/j.1007-4929.2014.11.013.
   Google Scholar
• Hattermann, F., Krysanova, V., Wechsung, F., and Wattenbach, M. 2004. “Integrating Groundwater Dynamics in Regional Hydrological Modelling.” Environmental Modelling and Software 19 (11): 1039–1051. doi:https://doi.org/10.1016/j.envsoft.2003.11.007.
   Web of Science ®Google Scholar
• He, B.-J., Zhu, J., Zhao, D.-X., Gou, J.-D., et al. 2019. “Co-benefits Approach: Opportunities for Implementing Sponge City and Urban Heat Island Mitigation.” Land Use Policy 86:147–157. doi:https://doi.org/10.1016/j.landusepol.2019.05.003.
   Web of Science ®Google Scholar
• He, C.-S., and Frank, W. 2018. “Water Sustainability and Watershed Ecosystem Health.” Ecosystem Health and Sustainability 4 (10): 241–242. doi:https://doi.org/10.1080/20964129.2018.1538666.
   Web of Science ®Google Scholar
• Hessel, R. 2005. “Effects of Grid Cell Size and Time Step Length on Simulation Results of the Limburg Soil Erosion Model (LISEM).” Hydrological Processes 19 (15): 3037–3049. doi:https://doi.org/10.1002/hyp.5815.
   Web of Science ®Google Scholar
• Shen, H.-B, Zhang, S.-H., and Xu, Z.-X. 2018. “LID Facility Allocation and Rainfall-runoff Monitoring for the Future Science & Technology Park in Beijing.” Journal of Hydraulic Engineering 49 (8): 937–944. (in Chinese). doihttps://doi.org/10.13243/j.cnki.slxb.20180269.
   Google Scholar
• Hu, A.-B., Ren, X.-X., and Pei, G.-Z. 2015. “Simulation of Storm Water Control Effect of LID Municipal Road Based on SWMM.” China Water and Wastewater 31 (23): 151–154. (in Chinese). doihttps://doi.org/10.19853/j.zgjsps.1000-4602.2015.23.033.
   Google Scholar
• Huang, T.-L., Wang, Y.-P., and Zhang, J.-L. 2017. “Simulation and Evaluation of Low Impact Development of Urban Residential District Based on SWMM and GIS.” Iop Conference 74 (1): 012009. doi:https://doi.org/10.1088/1755-1315/74/1/012009.
   Google Scholar
• Hunter, N. M., Bates, P. D., Horritt, M. S., and Wilso, M. D. 2006. “Improved Simulation of Flood Flows Using Storage Cell Models.” Water Management 159 (WM1): 9–18. doi:https://doi.org/10.1680/wama.2006.159.1.9.
   Google Scholar
• Jacobson, C. R. 2011. “Identification and Quantification of the Hydrological Impacts of Imperviousness in Urban Catchments: Areview.” Journal of Environmental Management 92 (6): 1438–1448. doi:https://doi.org/10.1016/j.jenvman.2011.01.018.
   PubMed Web of Science ®Google Scholar
• Jin, X., and Jin, Y.-X. 2018. “Impacts of Land Use Data Temporal Resolution on Hydrological Modeling.” Yellow River 40 (9): 5–15. (in Chinese). doihttps://doi.org/10.3969/j.1000-1379.2018.09.002.
   Google Scholar
• Kang, I. S., Park, J. I., and Singh, V. P. 1998. “Effect of Urbanization on Runoff Characteristics of the On-Cheon Stream Watershed in Pusan, Korea.” Hydrological Processes 12 (2): 351–363. doi:https://doi.org/10.1002/(SICI)1099-1085(199802)12:2<351::AID-HYP569>3.0.CO;2-O.
   Web of Science ®Google Scholar
• Kearns, F. R., Kelly, N. M., Carter, J. L., and Resh, V. H. 2005. “A Method for the Use of Landscape Metrics in Freshwater Research and Management.” Landscape Ecology 20 (1): 113–125. doi:https://doi.org/10.1007/s10980-004-2261-0.
   Web of Science ®Google Scholar
• Krupka, M. 2009. A Rapid Inundation Flood Cell Model for Flood Risk Analysis. Edinburgh, UK: Heriot-Watt University.
   Google Scholar
• Cuo, L., Lettenmaier, D. P., Mattheussen, B. V., Storck, P., et al. 2008. “Hydrologic Prediction for Urban Watersheds with the Distributed Hydrology–Soil–Vegetation Model.” Hydrological Processes 22 (21): 4205–4213. doi:https://doi.org/10.1002/hyp.7023.
   Web of Science ®Google Scholar
• Law, N. L., Cappiella, K., and Novotney, M. E. 2009. “The Need for Improved Pervious Land Cover Characterization in Urban Watersheds.” Journal of Hydrologic Engineering 14 (4): 305–308. doi:https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(305.
   Web of Science ®Google Scholar
• Lei, H. 2011. Ecohydrological Processes in a Large Irrigated Area of the North China Plain: Field Observation and Modeling. Beijing: Tsinghua University. (in Chinese).
   Google Scholar
• Li, B. 2020. Study on Runoff Reduction and Control Effect of Different LID Construction Schemes under Different Rainfall Conditions. Hebei: Hebei University of Engineering. (in Chinese).
   Google Scholar
• Li, F.-Z., Chen, J.-Q., Engel, B. A., Liu, Y.-Z., et al. 2020. “Assessing the Effectiveness and Cost Efficiency of Green Infrastructure Practices on Surface Runoff Reduction at an Urban Watershed in China.” Water 13 (1): 24. doi:https://doi.org/10.3390/w13010024.
   Web of Science ®Google Scholar
• Li, J. 2014. “Application of Infoworks ICM in Analysis of Urban Drainage System.” China Water and Wastewater 30 (8): 21–24. (in Chinese). doihttps://doi.org/10.19853/j.zgjsps.1000-4602.2014.08.006.
   Google Scholar
• Li, J., Wu, S., Zhao, X., Yin, W.-C., et al. 2018. “Analysis on the Effect of Rain Type Selection on LID Measures.” Geomatics World 445:21–27. (in Chinese) doi:https://doi.org/10.13789/j.cnki.wwe1964.2018.0097.
   Google Scholar
• Li, L. 1998. “Inverse Operation of Time-Space and Real -time Flood Forecasting for Dispersive Wave.” Hydrology (6): 1–5. (in Chinese). doi:https://doi.org/10.19797/j.cnki.1000-0852.1998.06.001.
   Google Scholar
• Li, Y.-Y., and Zhao, W.-M. 2017. “On the Space Planning of Urban Flood Control on a Multi-scale Basis in the Southwest Mountain Cities of China——based on Hydrological Perspective.” Mountain Research 035 (2): 212–220. (in Chinese). doihttps://doi.org/10.16089/j.cnki.1008-2786.000214.
   Google Scholar
• Li, Z.-H., and Ye, Z.-W. 2007. “Study on Flood Spreading Model of Hongze Lake Based on Cellular Automata”. Journal of Computer Applications (3):718–720. (in Chinese).
   Google Scholar
• Tang L.-H., Zhang, S.-C., Gao, Z.-Y., Guo, J.-Y., et al. 2005. “Principles and Establishment of WDHM Model in the Upper Basin of Wenyuhe River.” Beijing Water 2:21–23. (in Chinese) doi:https://doi.org/10.3969/j.1673-4637.2005.02.009.
   Google Scholar
• Liu, J.-H., Mei, C., Xiang, C.-Y., Shao, W.-W., et al. 2017. “Principles of Urban Hydrological Model.” Water Resources and Hydropower Engineering 48 (3): 1–5+13. (in Chinese).
   Google Scholar
• Liu, J., Guo, L.-H., Zhang, J.-T., and Lv, T. 2006. “Study on Simulation of Drainage and Flooding in Urban Areas of Shanghai Based on Improved SWMM.” China Water and Wastewater 22(21):64–66. (in Chinese) doi:https://doi.org/10.3321/j.1000-4602.2006.21.017.
   Google Scholar
• Liu, J.-Z., Zhu, A.-X., Liu, Y.-B., Qin, C.-Z., et al. 2013. “Parallelization of a Grid-to-grid Routing Algorithm Based on Grids Layering.” Journal of National University of Defense Technology 351:123–129. (in Chinese) doi:https://doi.org/10.3969/j.1001-2486.2013.01.022.
   Google Scholar
• Luo, X.-X., Zhang, R., and Yan, D.-H. 2011. “Eco-hydrological Simulation and Regulation of Shuangtaizi Estuarine Wetland.” Journal of Geographical Research 6 (30): 1089–1100. (in Chinese). doihttps://doi.org/10.11821/yj2011060012.
   Google Scholar
• Luo, Y.-J., Zhang, N.,Li, Q., Wang, X., et al. 2020. “Spatial Analysis of the Effects of Urban Underlying Surface and Rainfall Events on Surface Runoff Based on SWMM: A Case Study of Yanqi Lake Campus of University of Chinese Academy of Sciences.” Journal of University of Chinese Academy of Sciences 371:27–38. (in Chinese). doi:https://doi.org/10.7523/j.2095-6134.2020.01.005.
   Google Scholar
• Lv, Z.-S., and Zhao, P.-P. “170 Cities are Not Fortified, 340 Cities are Not up to Standard, the First Report on Urban Waterlogging in China: The Risk Is Increasing.” South Weekend, 2013-07-18. http://www.infzm.com/content/92491 (in Chinese)
   Google Scholar
• Ma, T., Zhou, C.-H., and Guo, Q. 2009. “Modeling of Hillslope Runoff and Soil Erosion at Rainfall Events Using Cellular Automata Approach.” Pedosphere 6 (19): 711–718. doi:https://doi.org/10.1016/S1002-0160(09)60166-1.
   Google Scholar
• Maheepala, U. K., Takyi, A. K., and Perera, B. J. C. 2001. “Hydrological Data Monitoring for Urban Storm Water Drainage Systems.” Journal of Hydrology 245 (1–4): 32–47. doi:https://doi.org/10.1016/S0022-1694(01)00342-0.
   Web of Science ®Google Scholar
• Marsalek, J., Jiménez, B., Malmquist, P. A., Karamouz, M., et al. 2007. “Urban Water Cycle Processes and Interactions.” Science of Total Environment 78 (137): 214–218. doi:https://doi.org/10.4324/9780203932469.
   Google Scholar
• Mcclain, M. E., Subalusky, A. L., Anderson, E. P., Dessu, S. B., et al. 2014. “Comparing Flow Regime, Channel Hydraulics, and Biological Communities to Infer Flow–ecology Relationships in the Mara River of Kenya and Tanzania.” International Association of Scientific Hydrology Bulletin 59 (3–4): 801–819. doi:https://doi.org/10.1080/02626667.2013.853121.
   Google Scholar
• Meili, N., Manoli, G., Burlando, P., Bou-Zeid, E., et al. 2020. “An Urban Ecohydrological Model to Quantify the Effect of Vegetation on Urban Climate and Hydrology (UT&C V1.0).” Geoscientific Model Development 13 (1): 335–362. doi:https://doi.org/10.5194/gmd-13-335-2020.
   Web of Science ®Google Scholar
• Mejia, A. I., and Moglen, G. E. 2009. “Spatial Patterns of Urban Development from Optimization of Flood Peaks and Imperviousness-based Measures.” Journal of Hydrologic Engineering 14 (4): 416–424. doi:https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(416).
   Web of Science ®Google Scholar
• Mejia, A. I., and Moglen, G. E. 2010. “Impact of the Spatial Distribution of Imperviousness on the Hydrologic Response of an Urbanizing Basin.” Hydrological Processes 24 (23): 3359–3373. doi:https://doi.org/10.1002/hyp.7755.
   Web of Science ®Google Scholar
• Mendicino, G., Pedace, J., and Senatore, A. 2015. “Stability of an Overland Flow Scheme in the Framework of a Fully Coupled Eco-hydrological Model Based on the Macroscopic Cellular Automata Approach.” Communications in Nonlinear Science and Numerical Simulation 21 (1–3): 128–146. doi:https://doi.org/10.1016/j.cnsns.2014.08.021.
   Web of Science ®Google Scholar
• Mo, X.-G., Liu, S.-X., and Lin, Z.-H. 2012. “Evaluation of an Ecosystem Model for a Wheat-maize Double Cropping System over the North China Plain.” Environmental Modelling and Software 32: 61–73. doi:https://doi.org/10.1016/j.envsoft.2011.07.002.
   Web of Science ®Google Scholar
• Moellering, H., and Tobler, W. 1972. “Geographical Variances.” Geographical Analysis 4 (1): 34–64. doi:https://doi.org/10.1111/j.1538-4632.1972.tb00455.x.
   Web of Science ®Google Scholar
• Morán-Tejeda, E., Zabalza, J., Rahman, K., Gago-Silva, A., et al. 2014. “Hydrological Impacts of Climate and Land-use Changes in a Mountain Watershed: Uncertainty Estimation Based on Model Comparison.” Ecohydrology 8 (8): 1396–1416. doi:https://doi.org/10.1002/eco.1590.
   Web of Science ®Google Scholar
• Noh, S., Lee, J. H., Lee, S., and Seo D. J. 2019. “Retrospective Dynamic Inundation Mapping of Hurricane Harvey Flooding in the Houston Metropolitan Area Using High-resolution Modeling and High-performance Computing.” Water 11 (3): 597. doi:https://doi.org/10.3390/w11030597.
   Web of Science ®Google Scholar
• O’ Neill, R. V. 1986. A Hierarchical Concept of Ecosystems. USA: Princeton University Press.
   Google Scholar
• O’Brien, L., De Vreese, R., Kern, M., Sievanen, T., et al. 2017. “Cultural Ecosystem Benefits of Urban and Peri-urban Green Infrastructure across Different European Countries.” Urban Forestry and Urban Greening 24:236–248. doi:https://doi.org/10.1016/j.ufug.2017.03.002.
   Web of Science ®Google Scholar
• O’Callaghan, J. F., and Mark, D. M. 1984. “The Extraction of Drainage Networks from Digital Elevation Data.” Computer Vision, Graphics, and Image Processing 27 (2): 247. doi:https://doi.org/10.1016/S0734-189X(84)80047-X.
   Google Scholar
• Omer, A., Wang, W.-G., Basheer, A. K., and Yong, B.2017. “Integrated Assessment of the Impacts of Climate Variability and Anthropogenic Activities on River Runoff: A Case Study in the Hutuo River Basin, China.” Hydrology Research 48 (2): 416–430. doi:https://doi.org/10.2166/nh.2016.229.
   Web of Science ®Google Scholar
• Pan, X.-Y. 2018. Summary of the Research on the Hydrological and Environmental Effects of Sponge City. Research and Practice on Beijing Water Problems. Beijing: Beijing Academy of Science and Technology, 166–173. (in Chinese).
   Google Scholar
• Pappenberger, F., and Beven, K. J. 2006. “Ignorance Is Bliss: Or Seven Reasons Not to Use Uncertainty Analysis.” Water Resources Research 42 (5): 1–8. doi:https://doi.org/10.1029/2005WR004820.
   Web of Science ®Google Scholar
• Park, I. 2012. Quantifying of Multiple Types of Uncertainty in Physics-based Simulation. USA: Wright State University.
   Google Scholar
• Patro, S., Chatterjee, C., Mohanty, S., Singh, R., et al. 2009. “FLOOD Inundation Modeling Using MIKE FLOOD and Remote Sensing Data.” Journal of the Indian Society of Remote Sensing 37 (1): 107–118. doi:https://doi.org/10.1007/s12524-009-0002-1.
   Web of Science ®Google Scholar
• Peng, J., Dan, Y.-Z., Qiao, R.-L., Liu, Y., et al. 2020. “How to Quantify the Cooling Effect of Urban Parks? Linking Maximum and Accumulation Perspectives.” Remote Sensing of Environment 252:112–135. doi:https://doi.org/10.1016/j.rse.2020.112135.
   Web of Science ®Google Scholar
• Peng, Z., Ke, J.-Y., Pan, W.-B., Zhan, X., et al. 2018. “Effects of Low-Impact Development on Urban Rainfall Runoff under Different Rainfall Characteristics.” Polish Journal of Environmental Studies 28 (2): 771–783. doi:https://doi.org/10.15244/pjoes/85348.
   Web of Science ®Google Scholar
• Philip, J. R., and Forecasting, H. 1969. “The Soil-plant-atmosphere Continuum in the Hydrological Cycle.” Hydrological Forecasting 92: 3–11.
   Google Scholar
• Qin, H.-P., Li, Z.-X., and Fu, G. 2013. “The Effects of Low Impact Development on Urban Flooding under Different Rainfall Characteristics.” Journal of Environmental Management 129C: 577–585. doi:https://doi.org/10.1016/j.jenvman.2013.08.026.
   Google Scholar
• Rinaldi, P. R., Dalponte, D. D., Vénere, M. J., Clausse, A., et al. 2007. “Cellular Automata Algorithm for Simulation of Surface Flows in Large Plains.” Simulation Modelling Practice and Theory 15 (3): 315–327. doi:https://doi.org/10.1016/j.simpat.2006.11.003.
   Web of Science ®Google Scholar
• Rodriguez, D. A., and Tomasella, J. 2015. “On the Ability of Large- Scale Hydrological Models to Simulate Land Use and Land Cover Change Impacts in Amazonian Basins.” Hydrological Sciences Journal 61: 10.
   Web of Science ®Google Scholar
• Rodriguez, F., Andrieu, H., and Morena, F. 2008. “A Distributed Hydrological Model for Urbanized Areas – Model Development and Application to Case Studies.” Journal of Hydrology 351 (3–4): 268–287. doi:https://doi.org/10.1016/j.jhydrol.2007.12.007.
   Web of Science ®Google Scholar
• Rossman, L. A., and Huber, W.C. 2016. Storm Water Management Model References Manual Volume I – Hydrology. EPA/600/R-15/162A. Cincinnati, Ohio: National Risk Management Laboratory, Office of Research and Development, United States Environmental Protection Agency.
   Google Scholar
• Roy, A. H., and Shuster, W. D. 2010. “Assessing Impervious Surface Connectivity and Applications for Watershed Management1.” Journal of the American Water Resources Association 45 (1): 198–209. doi:https://doi.org/10.1111/j.1752-1688.2008.00271.x.
   Web of Science ®Google Scholar
• Rudorf, F. C. M., Melack, J. M., and Bates, P. D. 2014. “Flooding Dynamics on the Lower Amazon Floodplain: 2. Seasonal and Interannual Hydrological Variability.” Water Resources Research 50 (1): 635–649. doi:https://doi.org/10.1002/2013WR014714.
   Web of Science ®Google Scholar
• Salvadore, E., Bronders, J., and Batelaan, O. 2015. “Hydrological Modelling of Urbanized Catchments: A Review and Future Directions.” Journal of Hydrology 529: 62–81. doi:https://doi.org/10.1016/j.jhydrol.2015.06.028.
   Web of Science ®Google Scholar
• Sela, S., Svoray, T., and Assouline, S. 2015. “The Effect of Soil Surface Sealing on Vegetation Water Uptake along a Dry Climatic Gradient.” Water Resources Research 51 (9): 7452–7466. doi:https://doi.org/10.1002/2015WR017109.
   Web of Science ®Google Scholar
• Shao, Q., Weatherley, D., Huang, L.-B., and Thomas, B. 2015. “RunCA: A Cellular Automata Model for Simulating Surface Runoff at Different Scales.” Journal of Hydrology 529:816–829. doi:https://doi.org/10.1016/j.jhydrol.2015.09.003.
   Web of Science ®Google Scholar
• Shao, Z.-F., Fu, H.-Y., Li, D., Altan, O., et al. 2019. “Remote Sensing Monitoring of Multi-scale Watersheds Impermeability for Urban Hydrological Evaluation.” Remote Sensing of Environment 232. doi:https://doi.org/10.1016/j.rse.2019.111338.
   Google Scholar
• Shi, Z.-H., Ai, L., Li, X., Huang, X.-D., et al. 2013. “Partial Least-squares Regression for Linking Land-cover Patterns to Soil Erosion and Sediment Yield in Watersheds.” Journal of Hydrology 498:165–176. doi:https://doi.org/10.1016/j.jhydrol.2013.06.031.
   Web of Science ®Google Scholar
• Shuster, W. D., Bonta, J., Thurston, H., Warnemuende, E., et al. 2005. “Impacts of Impervious Surface on Watershed Hydrology: A Review.” Urban Water Journal 2 (4): 263–275. doi:https://doi.org/10.1080/15730620500386529.
   Google Scholar
• Sidle, R. C., Gomi, T., Loaiza Usuga, J. C., and Jarihani, B. 2017. “Hydrogeomorphic Processes and Scaling Issues in the Continuum from Soil Pedons to Catchments.” Earth-Science Reviews 175:75–96. doi:https://doi.org/10.1016/j.earscirev.2017.10.010.
   Web of Science ®Google Scholar
• Sponge City Development Technical Guideline: Low Impact Development. Jch [2014] 275, 2014 10-22.
   Google Scholar
• Su, S.-L., Xiao, R.,Li, D.-L., and Hu, Y.-N. 2014. “Impacts of Transportation Routes on Landscape Diversity: A Comparison of Different Route Types and Their Combined Effects.” Environmental Management 53 (3): 636. doi:https://doi.org/10.1007/s00267-013-0214-6.
   Web of Science ®Google Scholar
• Sun, J.-L., Wang, X.-F., Wang, L.,Chen, Y.-Y., et al. 2006. “Research on the Introduction and Development of Key Technologies of Water Resources Real Time Monitoring System.” Pearl River (2). : 20–21+32. doi:https://doi.org/10.3969/j.1001-9235.2006.02.008.
   Google Scholar
• Sun, Y. 2011. Eco-hydrological Impacts of Urbanization and Low Impact Development. Shanxi: North West Agriculture and Forestry University. (in Chinese).
   Google Scholar
• Tan, Q. 2007. Application of Drainage Model for Urban Storm Water Quantity Management. Shang Hai: Tongji University. (in Chinese).
   Google Scholar
• Tang, G.-P., Li, M.-C., and Qin, F. 2010. “Distributed Rainfall-runoff Simulating Based on Cellular Automata for Small Watersheds.” Advances in Water Science 21 (2): 173–178. (in Chinese). doihttps://doi.org/10.14042/j.cnki.32.1309.2010.02.023.
   Google Scholar
• Tang, L.-H., and Peng G.-L. 2009. “Application of Distributed Hydrological Model in Small Watershed Comprehensive Management Planning.” Soil and Water Conservation in China 3: 34–36. (in Chinese). doi:https://doi.org/10.3969/j.1000-0941.2009.03.013.
   Google Scholar
• Tao, G.-F., and Jiang, Z.-H. 2019. “Analysis on the Influence of Urban Underlying Surface on Surface Hydrological Cycle Process — A Case Study of Tonghua District.” Journal of Tonghua Normal University 40 (6): 91–96. (in Chinese). doihttps://doi.org/10.13877/j.cnki.cn22-1284.2019.06.022.
   Google Scholar
• Tholin, A. L., and Keifer, C. J. 1960. “The Hydrology of Urban Runoff.” Transactions of the American Society of Civil Engineers 125 (1): 1308–1379. doi:https://doi.org/10.1061/TACEAT.0007893.
   Google Scholar
• Tsihrintzis, V. A., and Hamid, R. 2015. “Runoff Quality Prediction from Small Urban Catchments Using SWMM.” Hydrological Processes 12 (2): 311–329. doi:https://doi.org/10.1002/(SICI)1099-1085(199802)12:2<311::AID-HYP579>3.0.CO;2-R.
   Google Scholar
• Tucci, C. 2001. “Predicting Floods from Urban Development Scenarios: Case Study of the Dilúvio Basin, Porto Alegre, Brazil.” Urban Water 3 (1–2): 113–124. doi:https://doi.org/10.1016/S1462-0758(01)00004-8.
   Google Scholar
• Vivoni, E. R., Ivanov, V. Y., Bras, R. L., andEntekhabi, D. 2005. “On the Effects of Triangulated Terrain Resolution on Distributed Hydrologic Model Response.” Hydrological Processes 19 (11): 2101–2122. doi:https://doi.org/10.1002/hyp.5671.
   Web of Science ®Google Scholar
• Wan, R.-R., and Yang, G.-S. 2007. “Influence of Land Use/cover Change on Storm runoff—A Case Study of Xitiaoxi River Basin in Upstream of Taihu Lake Watershed.” Chinese Geographical Science 17 (4): 349–356. doi:https://doi.org/10.1007/s11769-007-0349-6.
   Web of Science ®Google Scholar
• Wang, H.-C., Chen, J.-G., Zhang, S.-H., LAI, H.-L., et al. 2011. “Application Status and Comparative Analysis of Urban Storm Water Models.” Water Resources and Hydropower Engineering 4211:10–13. (in Chinese). doi:https://doi.org/10.1002/clc.20818.
   Google Scholar
• Wang, Q.-S., Liu, X.-M., and Zhao, D.-Q. 2014. “Selection of Low Impact Development Techniques and Analysis of Suitable Construction Area.” China Water and Wastewater 30 (3): 96–100. (in Chinese). doihttps://doi.org/10.19853/j.zgjsps.1000-4602.2014.03.025.
   Google Scholar
• Wang, R.-J. “154 Cities Have Suffered Heavy Rain Due to Waterlogging This Year.” China Meteorological News, 2015 08-19. https://www.sohu.com/a/28229485_117884 (in Chinese)
   Google Scholar
• Wolfram, S. 1984. “Computation Theory of Cellular Automata.” Communications in Mathematical Physics 96 (1): 15–57. doi:https://doi.org/10.1007/BF01217347.
   Web of Science ®Google Scholar
• Wu, J.-G. 2004. “Effects of Changing Scale on Landscape Pattern Analysis: Scaling Relations.” Landscape Ecology 19 (2): 125–138. doi:https://doi.org/10.1023/B:LAND.0000021711.40074.ae.
   Web of Science ®Google Scholar
• Wu, J.-G. 2007. Landscape Ecology: Pattern, Process, Scale and Hierarchy (2ed Edition). Beijing: Development of Higher Education Press. (in Chinese).
   Google Scholar
• Wu, X.-F., and Liu, C.-M. 2002. “Progress in Watershed Hydrological Models.” Progress in Geography 21 (4): 341–348. (in Chinese). doihttps://doi.org/10.11820/dlkxjz.2002.04.007.
   Google Scholar
• Wu, Y.-G., Robert, E. S., Jiang, N., Miao, M., et al. 2020. “Design with Nature and Eco-city Design.” Ecosystem Health and Sustainability 6 (1): 1. doi:https://doi.org/10.1080/20964129.2020.1781549.
   Web of Science ®Google Scholar
• Xie, Y.-X. “Enlightenment of Flood Disaster in 2020 and Reflection on Urban Waterlogging Prevention Planning. Urban Planning Society of China.” Available via WeChat official account, 2020 11-05. https://mp.weixin.qq.com/s/i1mGqahxFN-yRoVb9MFrVw (in Chinese)
   Google Scholar
• Xie, Z.-H.,Wang, L.-H., Wang, Y., Liu, B., et al. 2020. “Land Surface Model CAS-LSM: Model Description and Evaluation.” Journal of Advances in Modeling Earth Systems 12 (12): 12. doi:https://doi.org/10.1029/2020ms002339.
   Web of Science ®Google Scholar
• Xu, X.-Y. 1998. “Simulation of Storm Runoff Process for Plain Urban.” Journal of Hydraulic Engineering 29 (8): 34–37. (in Chinese). doihttps://doi.org/10.3321/j.0559-9350.1998.08.008.
   Google Scholar
• Xu, Z.-X. 2010. “Hydrological Models: Past, Present and Future.” Journal of Beijing Normal University (Natural Science) 46 (3): 278–289. (in Chinese).
   Google Scholar
• Xu, Z.-X., and Zhao, J. 2016. “Development and Applications of Eco-hydrological Models: Past and Future.” Journal of Hydraulic Engineering 47 (3): 100–108. (in Chinese). doihttps://doi.org/10.13243/j.cnki.slxb.20151160.
   Google Scholar
• Jia Y.-W., and Wen, H. 2005. Principle and Practice of Distributed Watershed Hydrological Model. Beijing: China Water Power Press. (in Chinese)
   Google Scholar
• Yu, D., and Lane, S. N. 2006. “Urban Fluvial Flood Modelling Using a Two-dimensional Diffusion-wave Treatment, Part 2: Development of a Sub-grid-scale Treatment.” Hydrological Processes 20 (7): 1567–1583. doi:https://doi.org/10.1002/hyp.5936.
   Web of Science ®Google Scholar
• Yu, H.-J., Ma, J.-M., Zhang, D.-W., andMu. J. 2018. “Application of IFMS Urban Software in Urban Flood Risk Mapping.” China Flood and Drought Management 028 (7): 13–17. (in Chinese). doihttps://doi.org/10.16867/j.1673-9264.2018059.
   Google Scholar
• Yu, K.-J., Li, D.-H., Yuan, H., Fu, W., et al. 2015. ““Sponge City”: Theory and Practice.” City Planning Review (6): 26–36. ( in Chinese).
   Google Scholar
• Zhang, L.-J., Qin, C.-Z., and Zhu, A.-X. 2012. “Which Type of Slope Gradient Should Be Used to Determine Flow-partition Proportion in Multiple-flow-direction Algorithms – Tangent or Sine?” Hydrology and Earth System Sciences Discussions 9 (5): 6409–6418. doi:https://doi.org/10.5194/hessd-9-6409-2012.
   Google Scholar
• Zhang, B., Xie, G.-D., Li, N. Wang, S., et al. 2015. “Effect of Urban Green Space Changes on the Role of Rainwater Runoff Reduction in Beijing, China.” Landscape and Urban Planning 140:8–16. doi:https://doi.org/10.1016/j.landurbplan.2015.03.014.
   Web of Science ®Google Scholar
• Zhang, N., and Li, H. 2013. “Sensitivity and Effectiveness and of Landscape Metric Scalograms in Determining the Characteristic Scale of a Hierarchically Structured Landscape.” Landscape Ecology 28 (2): 343–363. doi:https://doi.org/10.1007/s10980-012-9837-x.
   Web of Science ®Google Scholar
• Zhang, N., Luo, Y.-J., Chen, X.-Y., Li, Q., et al. 2018. “Understanding the Effects of Composition and Configuration of Land Covers on Surface Runoff in a Highly Urbanized Area.” Ecological Engineering 125:11–25. doi:https://doi.org/10.1016/j.ecoleng.2018.10.008.
   Web of Science ®Google Scholar
• Zhang, N., and Zhang, H.-Y. 2011. “Scale Variance Analysis Coupled with Moran’s Scalogram to Identify Hierarchy and Characteristic Scale.” International Journal of Geographical Information Science 25 (9): 1525–1543. doi:https://doi.org/10.1080/13658816.2010.532134.
   Web of Science ®Google Scholar
• Zhang, N. 2006. “Scale Issues in Ecology: Concepts of Scale and Scale Analysis.” Acta Ecologica Sinica 26 (7): 2340–2355. (in Chinese) doihttps://doi.org/10.3321/j.1000-0933.2006.07.038.
   Google Scholar
• Zhang, S.-H., Wang, T.-W., and Zhao, B.-H. 2014. “Calculation and Visualization of Flood Inundation Based on a Topographic Triangle Network.” Journal of Hydrology 509 (4): 406–415. doi:https://doi.org/10.1016/j.jhydrol.2013.11.060.
   Google Scholar
• Zhou, T., Wu, J.-G., and Peng, S.-L. 2012. “Assessing the Effects of Landscape Pattern on River Water Quality at Multiple Scales: A Case Study of the Dongjiang River Watershed, China.” Ecological Indicators 23: 166–175. doi:https://doi.org/10.1016/j.ecolind.2012.03.013.
   Web of Science ®Google Scholar
• Zhou, Y.-Y., Wang, Y.-Q., Gold, A. J., and August, P. V. 2010. “Modeling Watershed Rainfall-runoff Relations Using Impervious Surface-area Data with High Spatial Resolution.” Hydrogeology Journal 18 (6): 1413–1423. doi:https://doi.org/10.1007/s10040-010-0618-9.
   Web of Science ®Google Scholar
• Zhu, Y. 2007. Modeling of Rainfall and Runoff Relationship and Estimation of Influence of Land Surface Change on Runoff in Suzhou. Nanjing: Hohai University. (in Chinese)
   Google Scholar
• Ziegler, A. D., Giambelluca, T. W., Plondke, D., Leisz, S., et al. 2007. “Hydrological Consequences of Landscape Fragmentation in Mountainous Northern Vietnam: Buffering of Hortonian Overland Flow.” Journal of Hydrology 337 (1–2): 52–67. doi:https://doi.org/10.1016/j.jhydrol.2007.01.031.
   Web of Science ®Google Scholar
• Zou, X., Liu, J.-M., Zhang, Y.-J., Yuan, D., et al. 2015. “Calculation of Kinematic Wave for Urban Surface Rainfall Runoff.” Hydrology 35(2):12–16. (in Chinese) doi:https://doi.org/10.3969/j.1001-2486.2013.01.022.
   Google Scholar