Abstract
Flooding is the most pervasive risk globally among natural hazards, efficient and reliable emergency evacuation path planning scheme is of great significance for improving the emergency rescue efficiency. To this end, a systematic framework for determining the risk avoidance path under flood disasters is proposed, which adopts the high-resolution 2-D hydrodynamic model, the road section weight value module, and the classic Dijkstra algorithm. Then Fengxi New City is applied as a case study in which four different rainfall condition scenarios (50a, 100a, 200a, 500a) are created to verify the applicability of the framework. The simulation results show that the increase of rainfall return period changes the rescue scenario shortest path, and the planned path distance and travel time under 500a rainfall conditions are 33.17% and 28.85% higher than those under no rainfall conditions respectively, and the algorithm time consumption takes an average of 0.012s, which can fully meet the popular acceptance of path planning time. This paper provides a novel and promising method for evaluating the planning and decision-making of the risk avoidance routes under flood disaster scenarios.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data Availability
The data and code that support the study are available from the corresponding author upon reasonable request.
References
Abbas M, Iqbal M, Tauqeer H, Turan V, Farhad M (2022) Chap. 16-Microcontaminants in wastewater. Environ Micropollutants 315–329. https://doi.org/10.1016/B978-0-323-90555-8.00018-0
Beijing Water Authority (2022) Urban waterlogging risk map of Beijing. [2022-10-25]. http://swj.beijing.gov.cn/swdt/tzgg/202207/t20220707_2766190.html
Borowska-Stefańska M, Balážovičová L, Goniewicz K, Kowalski M, Kurzyk P, Masný M, Wiśniewski S, Žoncová M, Khorram-Manesh A (2022) Emergency management of self-evacuation from flood hazard areas in Poland. Transp Res Part D: Transp Environ 107:103307. https://doi.org/10.1016/j.trd.2022.103307
Chen G, Hou J, Wang T, Lv J, Jing J, Ma X, Yang S, Deng C, Ma Y, Ji G (2022) The effect of spatial-temporal characteristics of rainfall on urban inundation processes. Hydrol Process 36(8):e14655. https://doi.org/10.1002/hyp.14655
Du L, Yang X (2011) Study on the impact and loss of different road water accumulation conditions. Proceedings of the 11th National Urban Road Traffic Academic Conference, Special Structures, 389–393
Fahad MGR, Nazari R, Bhavsar P, Jalayer M, Karimi M (2019) A decision-support framework for emergency evacuation planning during extreme storm events. Transp Res Part D: Transp Environ 77:589–605. https://doi.org/10.1016/j.trd.2019.09.024
Ge W, Jiao Y, Wu M, Li Z, Wang T, Li W, Zhang Y, Gao W, Gelder P (2022) Estimating loss of life caused by dam breaches based on the simulation of floods routing and evacuation potential of population at risk. J Hydrol 612:128059. https://doi.org/10.1016/j.jhydrol.2022.128059
Guo P, Xia J, Zhou M, Falconer RA, Zhang X (2018) Selection of optimal escape routes in a flood-prone area based on 2D hydrodynamic modelling. J Hydroinformatics 20(6):1310–1322. https://doi.org/10.2166/hydro.2018.161
Hou J, Wang T, Li P, Li Z, Zhang X, Zhao J, Hinkelmann R (2018) An implicit friction source term treatment for overland flow simulation using shallow water flow model. J Hydrol 564:357–366. https://doi.org/10.1016/j.jhydrol.2018.07.027
Hu F, Yang S, Hu X, Wang W (2017) Integrated optimization for shelter service area demarcation and evacuation route planning by a ripple-spreading algorithm. Int J Disaster Risk Reduct 24:539–548. https://doi.org/10.1016/j.ijdrr.2017.06.006
Irsyad HAW, Hitoshi N (2022) Flood disaster evacuation route choice in indonesian urban riverbank kampong: exploring the role of individual characteristics, path risk elements, and path network configuration. Int J Disaster Risk Reduct 81:103275. https://doi.org/10.1016/j.ijdrr.2022.103275
Jeong D, Kim M, Song K, Lee J (2021) Planning a green infrastructure network to integrate potential evacuation routes and the Urban Green Space in a Coastal City: the Case Study of Haeundae District, Busan, South Korea. Sci Total Environ 761:143179. https://doi.org/10.1016/j.scitotenv.2020.143179
Lämmchen V, Klasmeier J, Hernandez-Leal L, Berlekamp J (2021) Spatial modelling of micro-pollutants in a strongly regulated cross-border lowland catchment. Environ Process 8(3):973–992. https://doi.org/10.1007/s40710-021-00530-2
Li B, Hou J, Li D, Yang D, Han H, Bi X, Wang X, Hinkelmann R, Xia J (2021) Application of LiDAR UAV for high-resolution flood modelling. Water Resour Manage 35(5):1433–1447. https://doi.org/10.1007/s11269-021-02783-w
McDermott TKJ (2022) Global exposure to flood risk and poverty. Nat Commun 13:3529. https://doi.org/10.1038/s41467-022-30725-6
Mohamed RE, Kosba E, Mahar K, Mesbah S (2018) A framework for emergency -evacuation planning using GIS and DSS. Information Fusion and Intelligent Geographic Information Systems (IF&IGIS’17). Springer, Cham, pp 213–226
Mubeen A, Ruangpan L, Vojinovic Z, Sanchez Torrez A, Plavšić J (2023) Planning and suitability assessment of large-scale nature-based solutions for flood-risk reduction. Water Resour Manage 35(10):3063–3081. https://doi.org/10.1007/s11269-021-02848-w
Porta S, Crucitti P, Latora V (2006) The network analysis of urban streets: A primal approach. Environ Plan B 33(5):705–725. https://doi.org/10.1068/b32045
Rentschler J, Salhab M, Jafino BA (2022) Flood exposure and poverty in 188 countries. Nat Commun 13:3527. https://doi.org/10.1038/s41467-022-30727-4
Roukounis C, Tsihrintzis V (2022) Indices of coastal vulnerability to climate change: a review. Environ Processes 9(29):1–25. https://doi.org/10.1007/s40710-022-00577-9
Shahabi K, Wilson JP (2014) CASPER: intelligent capacity-aware evacuation routing. Comput Environ Urban Syst 46:12–24. https://doi.org/10.1016/j.compenvurbsys.2014.03.004
Turan V, Aydın S, Sönmez O (2022) Production, cost analysis, and marketing of bioorganic liquid fertilizers and plant nutrition enhancers. Industrial Microbiol Based Entrep 42:193–198. https://doi.org/10.1007/978-981-19-6664-4_13
Wang L, Yang L, Gao Z, Li S, Zhou X (2016) Evacuation planning for disaster responses: a stochastic programming framework. Transp Res Part C: Emerg Technol 69:150–172. https://doi.org/10.1016/j.trc.2016.05.022
Zhang H, Li Z (2012) Fractality and Self-Similarity in the structure of Road Networks. Ann Assoc Am Geogr 102(2):350–365. https://doi.org/10.1080/00045608.2011.620505
Zhang J, Zhang X (2022) A multi-trip electric bus routing model considering equity during short-notice evacuations. Transp Res Part D: Transp Environ 110:103397. https://doi.org/10.1016/j.trd.2022.103397
Zhuo L, Han D (2020) Agent-based modelling and flood risk management: a compendious literature review. J Hydrol 591:125600. https://doi.org/10.1016/j.jhydrol.2020.125600
Funding
This work is partly supported by the National Natural Science Foundation of China (Grant No. 52079106, 52009104), the Sino-German Mobility Programme (Grant No. M-0427), the Shaanxi Province Innovation Talent Promotion Plan Project Technology Innovation Team (Grant No. 2020TD-023).
Author information
Authors and Affiliations
Contributions
Conceptualization and Methodology: J. Hou, B. Li; Writing-original draft preparation: B. Li; Material preparation, collection and analysis: B. Li, X. Wang, D. Li, Y. Ma, G. Chen; Supervision & Funding acquisition: J. Hou, T. Wang.
Corresponding author
Ethics declarations
Ethical Approval
Informed consent.
Consent to Participate
Not applicable.
Consent to Publish
The authors are indeed informed and agree to publish.
Competing Interests
None.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Li, B., Hou, J., Wang, X. et al. High-Resolution Flood Numerical Model and Dijkstra Algorithm Based Risk Avoidance Routes Planning. Water Resour Manage 37, 3243–3258 (2023). https://doi.org/10.1007/s11269-023-03500-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11269-023-03500-5