Storm flood disaster risk assessment in urban area based on the simulation of land use scenarios: A case of Maozhou Watershed in Shenzhen City

Jian, 彭建 Peng; Hai, 魏海 Wei; Wenhuan, 武文欢 Wu; Yanxu, 刘焱序 Liu; Yanglin, 王仰麟 Wang

doi:10.5846/stxb201708271546

Cited by 11 publications

(10 citation statements)

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“…The details for verifying these points are attached in Table S1. Considering that the precipitation in 2-year flood events is above 100 mm, the flood-prone points were used to verify the simulation of flood events [60]. Moreover, flood-prone points are described briefly, and it is difficult to geo-locate them at a 30 m resolution.…”

Section: Flood Inundation Analysismentioning

confidence: 99%

Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models

Li,

Gao,

Yin

et al. 2024

Remote Sensing

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In the context of urbanization, frequent flood event have become the most common natural disasters, posing a significant challenge to human society. Considering the effects of urbanization on flood risk is critical for flood risk reduction and reasonable land planning strategies at the city scale. This study proposes an integrated approach based on remote sensing data using CA, Markov, and simplified hydrodynamic (FloodMap) models to accurately and effectively assess flood risk under urbanization. Taking Chongqing City as a case study, this paper analyzes the temporal and spatial variations in land use/land cover (LULC) in 2010, 2015, and 2018 and predicts the LULC for 2030, based on historic trends. Flood risk is assessed by combining the hazard, exposure, and modified vulnerability. The results suggest that the area of built-up land will increase significantly from 19.56% in 2018 to 25.21% in 2030. From 2010 to 2030, the area of medium and high inundation depths will increase by 10 and 16 times, respectively. Flood damage varies remarkably according to the LULC and return period. The expected annual damage (EAD) has been estimated to increase from USD 68 million in 2010 to USD 200 million in 2030. Flood risk is proportional to population and is significantly inversely proportional to socioeconomic level. The approach used here can provide a comprehensive understanding of flood risk and is significant for land-use policymaking and the management of flood control facilities.

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Section: Flood Inundation Analysismentioning

confidence: 99%

Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models

Li,

Gao,

Yin

et al. 2024

Remote Sensing

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“…Maozhou River can reach its peak in one hour, while Pingshan River can reach its peak in 40 minutes (SZN, 2020). The comparison of general characteristics (including the river length, basin area, land use types, annual average rainfall, average slope and average elevation) of two rivers are shown in Table 1 (Chen et al, 2016;Cui and Guo, 2006;Peng et al, 2018;SMEEB, 2018).…”

Section: Study Areamentioning

confidence: 99%

Evaluation of short-term streamflow prediction methods in Urban river basins

Huang

Tian

et al. 2021

Physics and Chemistry of the Earth, Parts A/B/C

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“…Currently, a large number of research results have been developed on the assessment of flood risk with multiple land use scenarios and the impact of land use change on flooding processes [3][4][5][6]. Peng et al (2018) studied the flood risks under various rainstorm disaster-land use disaster-induced scenarios in the Maozhou River Basin of Shenzhen, and concluded that the increase of construction land aggravated the stormwater flood risk [9]. Jiang et al (2022) found that upstream and downstream land use changes have different effects on the flooding process in the Piedmont Plain area based on multi-scenario numerical simulation [10].On this basis, some scholars further combined flood risk evaluation with land use, and propose to adjust the land use structure and layout through ecological space bottom line control, combined with local natural geographic patterns, to mitigate flood risks [4,7,[11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Study on Suburban Land Use Optimization from the Perspective of Flood Mitigation——a Case Study of Pujiang Country Park in Shanghai

Xu,

Wang,

et al. 2024

Preprint

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The integration of nature-based solutions into land use optimization has emerged as a focal point of current research, primarily due to its efficacy in mitigating flooding impacts and fostering sus-tainable development in both urban and rural areas. Utilizing Shanghai Pujiang Country Park as a case study, this paper conducts a simulation analysis to assess the flood mitigation effectiveness of three distinct land use patterns (Natural scenario, Scenario N; Complete urbanization scenario, Scenario U; Country Park Planning scenario, Scenario P) under five stormwater scenarios with re-turn periods of 2, 5, 10, 20, and 50 years. The findings reveal that Scenario P exhibits superior flood mitigation performance, particularly under stormwater scenarios with a return period of less than 50 years. Building upon these results, the paper proposes recommendations for optimizing land use with a focus on mitigating the impact of flooding. This study is crucial for comprehending the mechanisms involved in urban stormwater logging mitigation through land use methods and holds significance for decision-making in land use and planning at the micro level.

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Storm flood disaster risk assessment in urban area based on the simulation of land use scenarios: A case of Maozhou Watershed in Shenzhen City

Cited by 11 publications

References 0 publications

Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models

Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models

Evaluation of short-term streamflow prediction methods in Urban river basins

Study on Suburban Land Use Optimization from the Perspective of Flood Mitigation——a Case Study of Pujiang Country Park in Shanghai

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