Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5677-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-5677-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Enhancing urban pluvial flood modeling through graph reconstruction of incomplete sewer networks
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Jiapei Liu
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Department of Risk and Disaster Reduction, University College London, London WC1E 6BT, UK
Jian Shao
Yinchuan Meteorological Bureau, Yinchuan 750002, China
Fuqiang Tian
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Guangheng Ni
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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Hydrol. Earth Syst. Sci., 29, 2275–2291, https://doi.org/10.5194/hess-29-2275-2025, https://doi.org/10.5194/hess-29-2275-2025, 2025
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Hydrol. Earth Syst. Sci., 29, 1033–1060, https://doi.org/10.5194/hess-29-1033-2025, https://doi.org/10.5194/hess-29-1033-2025, 2025
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Guta Wakbulcho Abeshu, Fuqiang Tian, Thomas Wild, Mengqi Zhao, Sean Turner, A. F. M. Kamal Chowdhury, Chris R. Vernon, Hongchang Hu, Yuan Zhuang, Mohamad Hejazi, and Hong-Yi Li
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We developed SHAFTS (Simultaneous building Height And FootprinT extraction from Sentinel imagery), a multi-task deep-learning-based Python package, to estimate average building height and footprint from Sentinel imagery. Evaluation in 46 cities worldwide shows that SHAFTS achieves significant improvement over existing machine-learning-based methods.
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Yongping Wei, Jing Wei, Gen Li, Shuanglei Wu, David Yu, Mohammad Ghoreishi, You Lu, Felipe Augusto Arguello Souza, Murugesu Sivapalan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 26, 2131–2146, https://doi.org/10.5194/hess-26-2131-2022, https://doi.org/10.5194/hess-26-2131-2022, 2022
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There is increasing tension among the riparian countries of transboundary rivers. This article proposes a socio-hydrological framework that incorporates the slow and less visible societal processes into existing hydro-economic models, revealing the slow and hidden feedbacks between societal and hydrological processes. This framework will contribute to process-based understanding of the complex mechanism that drives conflict and cooperation in transboundary river management.
Hamidreza Omidvar, Ting Sun, Sue Grimmond, Dave Bilesbach, Andrew Black, Jiquan Chen, Zexia Duan, Zhiqiu Gao, Hiroki Iwata, and Joseph P. McFadden
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This paper extends the applicability of the SUEWS to extensive pervious areas outside cities. We derived various parameters such as leaf area index, albedo, roughness parameters and surface conductance for non-urban areas. The relation between LAI and albedo is also explored. The methods and parameters discussed can be used for both online and offline simulations. Using appropriate parameters related to non-urban areas is essential for assessing urban–rural differences.
Liying Guo, Jing Wei, Keer Zhang, Jiale Wang, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 26, 1165–1185, https://doi.org/10.5194/hess-26-1165-2022, https://doi.org/10.5194/hess-26-1165-2022, 2022
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Data support is crucial for the research of conflict and cooperation on transboundary rivers. Conventional, manual constructions of datasets cannot meet the requirements for fast updates in the big data era. This study brings up a revised methodological framework, based on the conventional method, and a toolkit for the news media dataset tracking of conflict and cooperation dynamics on transboundary rivers. A dataset with good tradeoffs between data relevance and coverage is generated.
Yi Nan, Zhihua He, Fuqiang Tian, Zhongwang Wei, and Lide Tian
Hydrol. Earth Syst. Sci., 25, 6151–6172, https://doi.org/10.5194/hess-25-6151-2021, https://doi.org/10.5194/hess-25-6151-2021, 2021
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Hydrological modeling has large problems of uncertainty in cold regions. Tracer-aided hydrological models are increasingly used to reduce uncertainty and refine the parameterizations of hydrological processes, with limited application in large basins due to the unavailability of spatially distributed precipitation isotopes. This study explored the utility of isotopic general circulation models in driving a tracer-aided hydrological model in a large basin on the Tibetan Plateau.
Kunbiao Li, Fuqiang Tian, Mohd Yawar Ali Khan, Ran Xu, Zhihua He, Long Yang, Hui Lu, and Yingzhao Ma
Earth Syst. Sci. Data, 13, 5455–5467, https://doi.org/10.5194/essd-13-5455-2021, https://doi.org/10.5194/essd-13-5455-2021, 2021
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Due to complex climate and topography, there is still a lack of a high-quality rainfall dataset for hydrological modeling over the Tibetan Plateau. This study aims to establish a high-accuracy daily rainfall product over the southern Tibetan Plateau through merging satellite rainfall estimates based on a high-density rainfall gauge network. Statistical and hydrological evaluation indicated that the new dataset outperforms the raw satellite estimates and several other products of similar types.
Yi Nan, Lide Tian, Zhihua He, Fuqiang Tian, and Lili Shao
Hydrol. Earth Syst. Sci., 25, 3653–3673, https://doi.org/10.5194/hess-25-3653-2021, https://doi.org/10.5194/hess-25-3653-2021, 2021
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This study integrated a water isotope module into the hydrological model THREW. The isotope-aided model was subsequently applied for process understanding in the glacierized watershed of Karuxung river on the Tibetan Plateau. The model was used to quantify the contribution of runoff component and estimate the water travel time in the catchment. Model uncertainties were significantly constrained by using additional isotopic data, improving the process understanding in the catchment.
You Lu, Fuqiang Tian, Liying Guo, Iolanda Borzì, Rupesh Patil, Jing Wei, Dengfeng Liu, Yongping Wei, David J. Yu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 25, 1883–1903, https://doi.org/10.5194/hess-25-1883-2021, https://doi.org/10.5194/hess-25-1883-2021, 2021
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The upstream countries in the transboundary Lancang–Mekong basin build dams for hydropower, while downstream ones gain irrigation and fishery benefits. Dam operation changes the seasonality of runoff downstream, resulting in their concerns. Upstream countries may cooperate and change their regulations of dams to gain indirect political benefits. The socio-hydrological model couples hydrology, reservoir, economy, and cooperation and reproduces the phenomena, providing a useful model framework.
Jing Wei, Yongping Wei, Fuqiang Tian, Natalie Nott, Claire de Wit, Liying Guo, and You Lu
Hydrol. Earth Syst. Sci., 25, 1603–1615, https://doi.org/10.5194/hess-25-1603-2021, https://doi.org/10.5194/hess-25-1603-2021, 2021
Liming Wang, Songjun Han, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 25, 375–386, https://doi.org/10.5194/hess-25-375-2021, https://doi.org/10.5194/hess-25-375-2021, 2021
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It remains unclear at which timescale the complementary principle performs best in estimating evaporation. In this study, evaporation estimation was assessed over 88 eddy covariance monitoring sites at multiple timescales. The results indicate that the generalized complementary functions perform best in estimating evaporation at the monthly scale. This study provides a reference for choosing a suitable time step for evaporation estimations in relevant studies.
Cited articles
Bakhshipour, A. E., Bakhshizadeh, M., Dittmer, U., Haghighi, A., and Nowak, W.: Hanging Gardens Algorithm to Generate Decentralized Layouts for the Optimization of Urban Drainage Systems, Journal of Water Resources Planning and Management, 145, 04019034, https://doi.org/10.1061/(ASCE)WR.1943-5452.0001103, 2019. a, b
Bakhshipour, A. E., Hespen, J., Haghighi, A., Dittmer, U., and Nowak, W.: Integrating Structural Resilience in the Design of Urban Drainage Networks in Flat Areas Using a Simplified Multi-Objective Optimization Framework, Water, 13, https://doi.org/10.3390/w13030269, 2021. a, b
Blumensaat, F., Wolfram, M., and Krebs, P.: Sewer model development under minimum data requirements, Environmental Earth Sciences, 65, 1427–1437, https://doi.org/10.1007/s12665-011-1146-1, 2012. a
Cao, X., Lyu, H., Ni, G., Tian, F., Ma, Y., and Grimmond, C.: Spatial Scale Effect of Surface Routing and Its Parameter Upscaling for Urban Flood Simulation Using a Grid-Based Model, Water Resources Research, 56, e2019WR025468, https://doi.org/10.1029/2019WR025468, 2020. a
Chegini, T. and Li, H.-Y.: An algorithm for deriving the topology of belowground urban stormwater networks, Hydrol. Earth Syst. Sci., 26, 4279–4300, https://doi.org/10.5194/hess-26-4279-2022, 2022. a, b
Chen, Z. and Huang, G.: Numerical simulation study on the effect of underground drainage pipe network in typical urban flood, Journal of Hydrology, 638, 131481, https://doi.org/10.1016/j.jhydrol.2024.131481, 2024. a, b
Dunton, A. and Gardoni, P.: Generating network representations of small-scale infrastructure using generally available data, Computer-Aided Civil and Infrastructure Engineering, 39, 1143–1158, https://doi.org/10.1111/mice.13137, 2024. a
Duque, N., Bach, P. M., Scholten, L., Fappiano, F., and Maurer, M.: A Simplified Sanitary Sewer System Generator for Exploratory Modelling at City-Scale, Water Research, 209, 117903, https://doi.org/10.1016/j.watres.2021.117903, 2022. a
Elimam, A. A., Charalambous, C., and Ghobrial, F. H.: Optimum Design of Large Sewer Networks, Journal of Environmental Engineering, 115, 1171–1190, https://doi.org/10.1061/(ASCE)0733-9372(1989)115:6(1171), 1989. a
Forrest, J. and Lougee-Heimer, R.: CBC User Guide, Chapter 10, 257–277, INFORMS, https://doi.org/10.1287/educ.1053.0020, 2005. a
Giangrande, S. E., McGraw, R., and Lei, L.: An Application of Linear Programming to Polarimetric Radar Differential Phase Processing, Journal of Atmospheric and Oceanic Technology, 30, 1716–1729, https://doi.org/10.1175/JTECH-D-12-00147.1, 2013. a, b
Hall, J.: Direct Rainfall Flood Modelling: The Good, the Bad and the Ugly, Australasian Journal of Water Resources, 19, 74–85, https://doi.org/10.7158/13241583.2015.11465458, 2015. a
Hesarkazzazi, S., Hajibabaei, M., Bakhshipour, A. E., Dittmer, U., Haghighi, A., and Sitzenfrei, R.: Generation of optimal (de)centralized layouts for urban drainage systems: A graph-theory-based combinatorial multi-objective optimization framework, Sustainable Cities and Society, 81, 103827, https://doi.org/10.1016/j.scs.2022.103827, 2022. a, b
Johnson, D. B.: Finding All the Elementary Circuits of a Directed Graph, SIAM Journal on Computing, 4, 77–84, https://doi.org/10.1137/0204007, 1975. a
Järvi, L., Grimmond, C., and Christen, A.: The Surface Urban Energy and Water Balance Scheme (SUEWS): Evaluation in Los Angeles and Vancouver, Journal of Hydrology, 411, 219–237, https://doi.org/10.1016/j.jhydrol.2011.10.001, 2011. a, b
Kim, S. E., Seo, Y., Hwang, J., Yoon, H., and Lee, J.: Connectivity-informed drainage network generation using deep convolution generative adversarial networks, Scientific Reports, 11, 1519, https://doi.org/10.1038/s41598-020-80300-6, 2021. a
Krebs, G., Kokkonen, T., Valtanen, M., Setälä, H., and Koivusalo, H.: Spatial resolution considerations for urban hydrological modelling, Journal of Hydrology, 512, 482–497, https://doi.org/10.1016/j.jhydrol.2014.03.013, 2014. a
Li, D., Hou, J., Xia, J., Tong, Y., Yang, D., Zhang, D., and Gao, X.: An Efficient Method for Approximately Simulating Drainage Capability for Urban Flood, Frontiers in Earth Science, 8, https://doi.org/10.3389/feart.2020.00159, 2020. a
Li, D., Hou, J., Shen, R., Li, B., Tong, Y., and Wang, T.: Approximation method for the sewer drainage effect for urban flood modeling in areas without drainage-pipe data, Frontiers in Environmental Science, 11, https://doi.org/10.3389/fenvs.2023.1134985, 2023. a
Li, G. and Matthew, R. G. S.: New Approach for Optimization of Urban Drainage Systems, Journal of Environmental Engineering, 116, 927–944, https://doi.org/10.1061/(ASCE)0733-9372(1990)116:5(927), 1990. a
Li, R., Liu, J., Sun, T., Shao, J., Tian, F., and Ni, G.: Graph-based sewer reconstruction with incomplete information, Zenodo [data set], https://doi.org/10.5281/zenodo.15522608, 2025. a
Liu, L., Sun, J., and Lin, B.: A large-scale waterlogging investigation in a megacity, Natural Hazards, 114, 1505–1524, https://doi.org/10.1007/s11069-022-05435-3, 2022. a
Lu, Y., Zhai, G., and Zhou, S.: An integrated Bayesian networks and Geographic information system (BNs-GIS) approach for flood disaster risk assessment: A case study of Yinchuan, China, Ecological Indicators, 166, 112322, https://doi.org/10.1016/j.ecolind.2024.112322, 2024. a
Luan, G., Hou, J., Wang, T., Zhou, Q., Xu, L., Sun, J., and Wang, C.: Method for analyzing urban waterlogging mechanisms based on a 1D-2D water environment dynamic bidirectional coupling model, Journal of Environmental Management, 360, 121024, https://doi.org/10.1016/j.jenvman.2024.121024, 2024. a
Lyu, H., Ni, G., Cao, X., Ma, Y., and Tian, F.: Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes, Water, 10, https://doi.org/10.3390/w10070880, 2018. a
Machine Hsie, M.-Y. W. and Huang, C. Y.: Optimal urban sewer layout design using Steiner tree problems, Engineering Optimization, 51, 1980–1996, https://doi.org/10.1080/0305215X.2018.1560436, 2019. a, b
McGrath, H., Bourgon, J.-F., Proulx-Bourque, J.-S., Nastev, M., and Abo El Ezz, A.: A comparison of simplified conceptual models for rapid web-based flood inundation mapping, Natural Hazards, 93, 905–920, https://doi.org/10.1007/s11069-018-3331-y, 2018. a
Mitchell, S., O’Sullivan, M., and Dunning, I.: Pulp: a linear programming toolkit for python, Optimization Online, https://optimization-online.org/2011/09/3178/ (last access: 14 October 2025), 2011. a
Ministry of Housing and Urban–Rural Development of the People's Republic of China (MOHURD): Standard for Design of Outdoor Wastewater Engineering (GB 50014–2021), Beijing, China, https://www.ceasjx.com/ueditor/php/upload/file/20211026/1635222094210836.pdf (last access: 14 October 2025), 2021 (in Chinese). a, b, c, d
Montalvo, C., Reyes-Silva, J., Sañudo, E., Cea, L., and Puertas, J.: Urban pluvial flood modelling in the absence of sewer drainage network data: A physics-based approach, Journal of Hydrology, 634, 131043, https://doi.org/10.1016/j.jhydrol.2024.131043, 2024. a, b, c
Ni, G.-H., Liu, Z.-Y., Lei, Z.-D., Yang, D.-W., and Wang, L.: Continuous Simulation of Water and Soil Erosion in a Small Watershed of the Loess Plateau with a Distributed Model, Journal of Hydrologic Engineering, 13, 392–399, https://doi.org/10.1061/(ASCE)1084-0699(2008)13:5(392), 2008. a, b
Perrini, P., Cea, L., Chiaravalloti, F., Gabriele, S., Manfreda, S., Fiorentino, M., Gioia, A., and Iacobellis, V.: A Runoff-On-Grid Approach to Embed Hydrological Processes in Shallow Water Models, Water Resources Research, 60, e2023WR036421, https://doi.org/10.1029/2023WR036421, 2024. a
Rosenzweig, B. R., McPhillips, L., Chang, H., Cheng, C., Welty, C., Matsler, M., Iwaniec, D., and Davidson, C. I.: Pluvial flood risk and opportunities for resilience, WIREs Water, 5, e1302, https://doi.org/10.1002/wat2.1302, 2018. a
Rossman, L. A.: Storm Water Management Model User's Manual, Version 5.1, U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, EPA/600/R-14/413b, 353 pp., September 2015, available at: https://www.epa.gov/sites/default/files/2019-02/documents/epaswmm5_1_manual_master_8-2-15.pdf (last access: 14 October 2025), 2015. a, b
Rossman, L. A. and Huber, W.: Storm Water Management Model Reference Manual, Volume II Hydraulics, U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC, EPA/600/R-17/111, May 2017, available at: https://www.epa.gov/water-research/storm-water-management-model-swmm#documents (last access: 15 October 2025), 2017. a
Safavi, H. and Geranmehr, M. A.: Optimization of sewer networks using the mixed-integer linear programming, Urban Water Journal, 14, 452–459, https://doi.org/10.1080/1573062X.2016.1176222, 2017. a, b
Schmitt, T. G. and Scheid, C.: Evaluation and communication of pluvial flood risks in urban areas, WIREs Water, 7, e1401, https://doi.org/10.1002/wat2.1401, 2020. a
Schubert, J. E. and Sanders, B. F.: Building treatments for urban flood inundation models and implications for predictive skill and modeling efficiency, Advances in Water Resources, 41, 49–64, https://doi.org/10.1016/j.advwatres.2012.02.012, 2012. a
Shi, X., Liu, Z., Carlos, V., and Jia, H.: The role of graph-based methods in urban drainage networks (UDNs): review and directions for future, Urban Water Journal, 20, 1095–1109, https://doi.org/10.1080/1573062X.2023.2252807, 2023. a
Sitzenfrei, R., Wang, Q., Kapelan, Z., and Savić, D.: Using Complex Network Analysis for Optimization of Water Distribution Networks, Water Resources Research, 56, e2020WR027929, https://doi.org/10.1029/2020WR027929, 2020. a
Song, L., Zhou, J., Guo, J., Zou, Q., and Liu, Y.: A robust well-balanced finite volume model for shallow water flows with wetting and drying over irregular terrain, Advances in Water Resources, 34, 915–932, https://doi.org/10.1016/j.advwatres.2011.04.017, 2011. a, b
Swamee, P. K. and Sharma, A. K.: Optimal design of a sewer line using Linear Programming, Applied Mathematical Modelling, 37, 4430–4439, https://doi.org/10.1016/j.apm.2012.09.041, 2013. a, b, c
Tran, V. N., Ivanov, V. Y., Huang, W., Murphy, K., Daneshvar, F., Bednar, J. H., Alexander, G. A., Kim, J., and Wright, D. B.: Connectivity in urbanscapes can cause unintended flood impacts from stormwater systems, Nature Cities, 1, 654–664, https://doi.org/10.1038/s44284-024-00116-7, 2024. a, b
Wagner, H. M.: Linear Programming Techniques for Regression Analysis, Journal of the American Statistical Association, 54, 206–212, https://doi.org/10.1080/01621459.1959.10501506, 1959. a
Wang, J., Liu, J., Mei, C., Wang, H., and Lu, J.: A multi-objective optimization model for synergistic effect analysis of integrated green-gray-blue drainage system in urban inundation control, Journal of Hydrology, 609, 127725, https://doi.org/10.1016/j.jhydrol.2022.127725, 2022. a
Wang, Q., Savić, D. A., and Kapelan, Z.: GALAXY: A new hybrid MOEA for the optimal design of Water Distribution Systems, Water Resources Research, 53, 1997–2015, https://doi.org/10.1002/2016WR019854, 2017. a
Wang, S. and Wang, H.: Extending the Rational Method for assessing and developing sustainable urban drainage systems, Water Research, 144, 112–125, https://doi.org/10.1016/j.watres.2018.07.022, 2018. a
Weng, Q.: Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends, Remote Sensing of Environment, 117, 34–49, https://doi.org/10.1016/j.rse.2011.02.030, 2012. a
Xing, Y., Liang, Q., Wang, G., Ming, X., and Xia, X.: City-scale hydrodynamic modelling of urban flash floods: the issues of scale and resolution, Natural Hazards, 96, 473–496, https://doi.org/10.1007/s11069-018-3553-z, 2019. a
Xing, Y., Shao, D., Yang, Y., Ma, X., and Zhang, S.: Influence and interactions of input factors in urban flood inundation modeling: An examination with variance-based global sensitivity analysis, Journal of Hydrology, 600, 126524, https://doi.org/10.1016/j.jhydrol.2021.126524, 2021. a, b
Xing, Y., Shao, D., Liang, Q., Chen, H., Ma, X., and Ullah, I.: Investigation of the drainage loss effects with a street view based drainage calculation method in hydrodynamic modelling of pluvial floods in urbanized area, Journal of Hydrology, 605, 127365, https://doi.org/10.1016/j.jhydrol.2021.127365, 2022. a
Yu, X., Wu, Y., Meng, F., Zhou, X., Liu, S., Huang, Y., and Wu, X.: A review of graph and complex network theory in water distribution networks: Mathematical foundation, application and prospects, Water Research, 253, 121238, https://doi.org/10.1016/j.watres.2024.121238, 2024. a
Zanaga, D., Van De Kerchove, R., Daems, D., De Keersmaecker, W., Brockmann, C., Kirches, G., Wevers, J., Cartus, O., Santoro, M., Fritz, S., Lesiv, M., Herold, M., Tsendbazar, N.-E., Xu, P., Ramoino, F., and Arino, O.: ESA WorldCover 10 m 2021 v200, Zenodo, https://doi.org/10.5281/zenodo.7254221, 2022. a
Short summary
This work presents a new approach to simulate sewer drainage effects from incomplete information in the context of urban flooding, given missing information like flow directions and nodal depths. Tested in Yinchuan, China, our approach exhibits high accuracy in reproducing flood depths and reliably outperforms existing methods in various rainfall scenarios. Our method offers a reliable tool for cities with limited sewer data to improve flood simulation performance.
This work presents a new approach to simulate sewer drainage effects from incomplete information...