Assessment of Urban Flood Resilience Based on an Innovative PSSR Concept Model
- DOI
- 10.2991/978-94-6463-308-5_9How to use a DOI?
- Keywords
- urban flood resilience; PSSR concept model; cloud model; assessment index system
- Abstract
Urban flooding caused by extreme rainstorms is one of the most prominent and difficult problems to be solved in the expansion of the world's cities. This study draws on the Wuli-Shili-Renli (WSR) methodology, and on the basis of the Pressure-State-Response (PSR) index model, reconstructs the “Shili” factor, introduces the “Renli” factor, and constructs a new type of Pressure-State-Shili-Renli (PSSR) concept model of urban flood resilience (UFR). In addition, based on the cloud model of big data theory in computer technology, this study takes into account information randomness and fuzziness to construct a UFR assessment model. Taking Zhengzhou city as an example in 2017-2021, results of the proposed model show that UFR improves year by year, thus indicating that the model established in this study is reasonable and feasible.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yang Zhang AU - Kejian Shang PY - 2023 DA - 2023/12/11 TI - Assessment of Urban Flood Resilience Based on an Innovative PSSR Concept Model BT - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023) PB - Atlantis Press SP - 81 EP - 87 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-308-5_9 DO - 10.2991/978-94-6463-308-5_9 ID - Zhang2023 ER -