Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Jin, Youjie; Zhang, Jianyun; Liu, Na; Li, Chenxi; Wang, Guoqing

doi:10.3390/w14010126

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…In the next 30 years, flood-related property damage may increase by 60% as a result of climate change (Sastry, 2021 ), and many communities and individuals underestimate the potential for flood damage (Burningham et al, 2008 ; Mol et al, 2020 ). Therefore, many researchers worldwide have focused on flood risk and loss assessments (e.g., Dutta et al, 2003 ; Scawthorn et al, 2006 ; Tam et al, 2014 ; Afifi et al, 2019 ; Mostafiz et al, 2021a , d ; Al Assi et al, 2022a , b ; Jin et al, 2022 ; Rahim et al, 2022a , b ) and the value of mitigating the flood risk (Taghinezhad et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height

et al. 2023

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Evaluating flood risk is an essential component of understanding and increasing community resilience. A robust approach for quantifying flood risk in terms of average annual loss (AAL) in dollars across multiple homes is needed to provide valuable information for stakeholder decision-making. This research develops a computational framework to evaluate AAL at the neighborhood level by owner/occupant type (i.e., homeowner, landlord, and tenant) for increasing first-floor height (FFH). The AAL values were calculated here by numerically integrating loss-exceedance probability distributions to represent economic annual flood risk to the building, contents, and use. A simple case study for a census block in Jefferson Parish, Louisiana, revealed that homeowners bear a mean AAL of $4,390 at the 100-year flood elevation (E100), compared with $2,960, and $1,590 for landlords and tenants, respectively, because the homeowner incurs losses to building, contents, and use, rather than only two of the three, as for the landlord and tenant. The results of this case study showed that increasing FFH reduces AAL proportionately for each owner/occupant type, and that two feet of additional elevation above E100 may provide the most economically advantageous benefit. The modeled results suggested that Hazus Multi-Hazard (Hazus-MH) output underestimates the AAL by 11% for building and 15% for contents. Application of this technique while partitioning the owner/occupant types will improve planning for improved resilience and assessment of impacts attributable to the costly flood hazard.

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Section: Introductionmentioning

confidence: 99%

Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height

et al. 2023

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“…( (Margaret , et al, 2020) ; ( Jin ,, et al, 2022)) (9) Lack of Modernization in Flood Control Systems.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Flood Intensifying Factors and Mitigation Strategies to Enhance the Flood Resilience in Pakistan: A Novel Hybrid Fuzzy-FUCOM-Fuzzy-WASPAS Approach

Alam,

Khan

2023

Preprint

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Communities have been menaced by floods for ages. Geographically, South Asia is one of the most flood prone regions of the world. In South Asia, particularly Pakistan has the long and deadly history of floods causing losses to various infrastructure, lives, and industries. Over the last two decades, frequency and severity of flood events have been increased and has adversely affected the livelihood and well-being of millions of people in Pakistan. Therefore, the nation must develop appropriate risk management policies and procedures. The purpose of this research study is to identify the most appropriate flood risk mitigation strategies that the government of Pakistan should adopt to reduce flood risks. The evaluation of these risk reduction strategies is based on specific criteria. Those criteria are gauged by Fuzzy Full Consistency Method (FUCOM). Moreover, flood risk mitigation strategies are evaluated by using Fuzzy Weighted Aggregated Sum Product Assessment (WASPAS) method, considering the previously prioritized criteria. According to results Lack of Governance, Lack of Funding and Resources, and Lack of Flood Control Infrastructure are the most significant flood intensifying factors and act as criteria for assessing flood risk mitigation strategies. Whereas Adopting Hard Engineering Strategies (Dams, Reservoirs, River Straightening & Dredging, Embankments and Flood Relief Channels), Maintaining Existing Infrastructure and Adopting Soft Engineering Strategies (Floodplain zoning, Comprehensive Flood-Risk-Assessment, Sophisticated Flood Modeling) are identified as the most viable top three flood risk mitigation strategies by Fuzzy WASPAS analysis. The highest weight i.e., 0.98 was assigned to the adoption of a hard engineering strategy. Afterwards, a weight of 0.5 was assigned to the strategy of maintaining existing infrastructure and a weight of 0.2 was assigned to the strategy of adopting soft engineering approaches. Lastly, a policy based on these strategies is also recommended to the government of Pakistan to reduce flood losses in future.

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“…Flood loss assessment is multidimensional, complex, and interdisciplinary. It is affected by multiple factors, including regional rainfall characteristics, geographical features, flood control systems, and socio-economic conditions [15,16]. Therefore, the assessment methods are diverse [17].…”

Section: Introductionmentioning

confidence: 99%

Extreme Flood Disasters: Comprehensive Impact and Assessment

Qian

Wang

2022

Water

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Evaluating extreme flood disasters is a prerequisite for decision making in flood management. Existing extreme flood disaster assessments fail to either consider or evaluate comprehensive impacts from social, economic, and environmental aspects. This study first analyzes the causes of extreme flood disasters and subsequently the potential flood consequences in depth. On the basis of this comprehensive analysis, an extreme flood disaster indicator system is developed by taking into account social, economic, and environmental consequences. To assess the comprehensive impacts, we propose a refined social and economic impact evaluation method and a semi-quantitative environmental impact evaluation method, which are applied to Jingjiang Flood Diversion District (JFDD) located in the Yangtze River Basin, and analyze two extreme flood scenarios. The results show that almost all of the JFDD area is flooded with inundation areas of 901.36 km2 and 879.49 km2, respectively. The corresponding affected populations are 0.51 million and 0.5 million. The direct economic losses are 18.83 billion and 14.33 billion, respectively. Moreover, 5 potential pollutant sources and 11 protected areas are inundated under two scenarios. Extreme floods have relatively serious impacts on local ecology and the environment. The proposed methodology can provide effective support for decision makers.

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Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Cited by 6 publications

References 18 publications

Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height

Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height

Analyzing the Flood Intensifying Factors and Mitigation Strategies to Enhance the Flood Resilience in Pakistan: A Novel Hybrid Fuzzy-FUCOM-Fuzzy-WASPAS Approach

Extreme Flood Disasters: Comprehensive Impact and Assessment

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