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A Cellular Automata Based Rainfall-Runoff Model for Urban Inundation Analysis Under Different Land Uses

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Abstract

Recently many runoff models based on cellular automaton (CA) have been developed to simulate floods; however, the existing models cannot be readily applied to complex urban environments. This study proposes a novel rainfall-runoff model based on CA (RRCA) to simulate inundation. Its main contributions include a fine runoff generation process that considers 12 urban scenarios rather than a single land use type and the confluence process determined by the new transition rules considering water supply and demand (WS-WD transition rules). RRCA was compared with another CA based flood model (E2DCA). With the benchmark model, the results showed that there was good agreement, with an R-squared greater than 0.9, and that RRCA was more sensitive to waterlogging levels than E2DCA. Furthermore, the simulated vegetation interception, infiltration and drainage processes had varying degrees of impact on waterlogging. Corresponding measures can be taken in urban flood management according to the identification of areas experiencing drainage difficulties.

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Data Availability

The data and materials are available except drainage network data.

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Acknowledgements

This work was supported by grants from the National Key Research and Development Program of China (No. 2018YFB2100500), the Fundamental Research Funds for the Central Universities (No. 2042020kf0011), the National Nature Science Foundation of China Program (No. 41771422, 41971351).

Funding

This work was supported by grants from the National Key Research and Development Program of China (No. 2018YFB2100500), the Fundamental Research Funds for the Central Universities (No. 2042020kf0011), the National Nature Science Foundation of China Program (No. 41771422, 41971351).

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Authors and Affiliations

  1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China

    Shuang Yao, Nengcheng Chen, Wenying Du & Chao Wang

  2. Collaborative Innovation Center of Geospatial Technology, Wuhan, China

    Nengcheng Chen

  3. Institute of Water Science Research in Wuhan, Wuhan, China

    Cuizhen Chen

Authors
  1. Shuang Yao
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  2. Nengcheng Chen
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  3. Wenying Du
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  4. Chao Wang
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  5. Cuizhen Chen
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Contributions

Shuang Yao: Writing—original draft preparation, Methodology, Software, Validation. Nengcheng Chen: Conceptualization, Supervision, Project administration. Wenying Du: Writing—review and editing, Formal analysis. Chao Wang: Writing—review and editing. Cuizhen Chen: Data curation.

Corresponding author

Correspondence to Wenying Du.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Yao, S., Chen, N., Du, W. et al. A Cellular Automata Based Rainfall-Runoff Model for Urban Inundation Analysis Under Different Land Uses. Water Resour Manage 35, 1991–2006 (2021). https://doi.org/10.1007/s11269-021-02826-2

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  • DOI: https://doi.org/10.1007/s11269-021-02826-2

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