Urban flood risk differentiation under land use scenario simulation

Zhao, Hongbo; Gu, Tianshun; Tang, Junqing; Gong, Zhaoya; Zhao, Pengjun

doi:10.1016/j.isci.2023.106479

Cited by 18 publications

(5 citation statements)

References 77 publications

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“…Although flooding may result from heavy rainfall, storm surges, and overflowing rivers, studies indicate that built environment's characteristics significantly impact the extent of damage sustained by communities [39]. Urbanisation and land-use changes are significant factors contributing to hazard, exposure, and vulnerability (H-E-V), owing to their impact on urban surface hydrological characteristics [40,41]. Urban expansion patterns and types, such as edge expansion and leapfrogging, can affect the risk level, as infilling has a weaker positive correlation with flood hazards [42].…”

Section: The Built Environment and Floodingmentioning

confidence: 99%

“…The impact of land-use changes on urban flood disasters is a complex issue influenced by various natural, social, and economic factors. Simulation studies that examined the variability between cultivated, forest, green land, and construction land areas revealed different effects, indicating the need for optimisation to minimise the probability of future urban flood disasters [41]. Different land-use scenarios (natural, economic, and sustainable development) showed that the land-use pattern under the sustainable development scenario is the most conducive to reducing the flood risk [40,41].…”

Section: The Built Environment and Floodingmentioning

confidence: 99%

“…Simulation studies that examined the variability between cultivated, forest, green land, and construction land areas revealed different effects, indicating the need for optimisation to minimise the probability of future urban flood disasters [41]. Different land-use scenarios (natural, economic, and sustainable development) showed that the land-use pattern under the sustainable development scenario is the most conducive to reducing the flood risk [40,41]. In addition, the spatial distribution of water-bearing surfaces, such as the presence of natural or artificial lakes, can significantly influence the flood levels in urban areas and increase risk [42,46].…”

Section: The Built Environment and Floodingmentioning

confidence: 99%

See 2 more Smart Citations

The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala

Choorapulakkal,

Madandola,

Al-Kandari

et al. 2024

Sustainability

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In recent years, floods and climate-induced cataclysms have caused significant annual damage to livelihoods worldwide, with limited research on their vulnerability, impact, resilience, and long-term adaptation strategies in developing countries. In the South Indian State of Kerala, the major flood in 2018 caused immense economic losses in the low-lying and densely populated Alappuzha District. While the region has a heightened risk of periodic flooding, the considerable destruction of buildings and infrastructure highlights the need for effective solutions for flood resilience in the existing housing stock and new construction. In this context, this study examines flood resilience in the built environment of Alappuzha, focusing on flood vulnerability, building practices, and potential approaches suitable for the region that the current literature does not address. This study employs a qualitative research approach to understand current trends in adaptation strategies and the influencing socioeconomic and cultural factors. The study employs various data collection methods, including interviews, site observations, and content analyses of existing government reports, journal articles, and popular media sources. The findings indicate that although there are three types of established flood resilience techniques (static elevated, floating, and amphibious structures), their suitability for the low-lying areas of Alappuzha depends on the geographic, climatic, socioeconomic, and cultural contexts. Stilted houses have become the most common construction method, in response to climatic and socioeconomic conditions. In addition, the findings highlight the bounce-forth resilience quality of amphibious building techniques and suggest further exploration by integrating them with local technologies and materials. The study concludes that a comprehensive approach is needed that integrates traditional and modern knowledge and practices in disaster risk reduction and management to enhance the resilience of the built environment to flooding.

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Section: The Built Environment and Floodingmentioning

confidence: 99%

Section: The Built Environment and Floodingmentioning

confidence: 99%

Section: The Built Environment and Floodingmentioning

confidence: 99%

See 1 more Smart Citation

The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala

Choorapulakkal,

Madandola,

Al-Kandari

et al. 2024

Sustainability

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“…Xu et al (2021a) established different urban growth scenarios based on the CA-Markov model and combined them with the sea level rise scenarios to dynamically evaluate the flood exposure of buildings and infrastructure in Xiamen in 2050, and revealed that sea level rise and urban growth would increase the overall flood exposure to varying degrees. Zhao et al (2023a) constructed a method combining Bayesian network and patch-generating land use simulation (PLUS) model to predict the future flood risk in Zhengzhou City under various scenarios in 2035, and discovered that there was a continuous growth in exposure index, which indicated that the flood exposure was increasing. Despite these specific studies on cities, there remains a lack of research on future UEF in coastal China, and the relative importance of flood variation due to climate change and urban growth on future changes in coastal flood exposure has not been quantified.…”

Section: Introductionmentioning

confidence: 99%

Sustainable urban planning to control flood exposure in the coastal zones of China

wu,

Li,

et al. 2024

Preprint

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Context. Sustainable development in coastal zones faces escalating flood risk in the context of climate change and urbanization, and the rapid urban growth in flood zones has been one of the key drivers. Therefore, understanding the urban exposure to flooding (UEF) and its future scenarios is important in coastal zones. Objectives. The objectives of this study were: (1) to assess the future dynamics of UEFs in China's coastal zones, and (2) to identify a sustainable way of urban planning in controlling the growth of UEFs. Methods. Future UEFs in coastal China were assessed during 2020–2050 by combining urban expansion model, scenario analysis, and flood exposure assessment. Alternative scenarios were considered of shared socioeconomic pathways (SSPs), representative concentration pathways (RCPs), strategies of urban planning. Results. The results show that the 1000-year flood UEFs along coastal China was expected to grow under SSP2-RCP4.5 from 9,879 km2 in 2020 to 13424 (12997–13981) km2 in 2050, representing an increment of 35.88% (31.56–41.52%). Alternatively, the strategy of sustainable development planning could reduce the newly added UEF by 16.98% (15.63–18.67%) in a 1000-year flood scenario. Conclusions. The findings proved that the ways of urban growth matters in terms of affecting food exposure and risk and flood risk should be incorporated into urban planning for a sustainable landscape. The study could offer methodology and support for sustainable development strategies in reducing future urban flood risk.

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“…A large number of studies have revealed that land cover composition has a direct or indirect impact on the urban ooding process. For instance, studies on the spatial and proportional optimal layout of different LID combinations (Yao et al, 2022), the effect of land use changes on soil hydraulic properties (Ma et al, 2024;Sun et al, 2018), the effect of land use changes on runoff characteristics (Sajikumar and Remya, 2015), and the quanti cation of the relationship between land use change and ood risk (Zhao et al, 2023;Su et al, 2018). However, the in uence of underlying surface parameters on the waterlogging process is ignored, changing the underlying surface parameters is one of the effective ways to alleviate the waterlogging problem (He et al, 2022;Liu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

Jiang,

Li,

et al. 2024

Environ Sci Pollut Res

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The rapid development of the city leads to the continuous updating of the ratio of land use allocation, especially during the ood season, which will exacerbate the signi cant changes in the spatial and temporal patterns of urban ooding, increasing the di culty of urban ood forecasting and early warning. In this study, the spatial and temporal evolution of ooding in a high-density urban area was analyzed based on the Mike Flood model, and the in uence mechanisms of different rainfall peak locations and in ltration rate scenarios on the spatial and temporal characteristics of urban waterlogging were explored. The results revealed that under the same return period, the larger the rainfall peak coe cient, the larger the peak value of inundation volume and inundation area. When the rainfall peak coe cient is small, the higher the return period is, and the larger the peak lag time of the inundation volume is, in which P = 50a, r = 0.2, the delay time of the inundation volume for the inundation depths H > 0.03 m and H > 0.15 m reached 32 min and 45 min, respectively, At the same time, there are also signi cant differences in the peak lag time of waterlogging inundation volume in different inundation depths. The greater the inundation depth, the longer the peak lag time of waterlogging inundation volume, and the higher the return period, the more signi cant the effect of lag time prolongation. It is worth noting that the increase in in ltration rate will lead to the advance of the peak time of inundation volume and inundation area, and the peak time of the inundation area is overall more obvious than that of inundation volume. The peak times of inundation volume and inundation area were advanced by 4 ~ 8 min and − 2 ~ 9 min for H > 0.03 m and H > 0.15 m, respectively, after the increase in in ltration rate; and the higher the return period, the smaller the rainfall peak coe cient and the longer the advance time. The spatial and temporal characteristics of waterlogging under different peak rainfall locations and in ltration capacities obtained in this study can help provide a new perspective for temporal forecasting and warning of urban waterlogging.

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Urban flood risk differentiation under land use scenario simulation

Cited by 18 publications

References 77 publications

The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala

The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala

Sustainable urban planning to control flood exposure in the coastal zones of China

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

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