A quantitative method for storm surge vulnerability assessment – a case study of Weihai city

Liu, Jin; Gong, Jianhua; Liang, Jianming; Li, Yi; Linchong, Kang; Song, Lili; Shi, Suixiang

doi:10.1080/17538947.2016.1229052

Cited by 17 publications

(17 citation statements)

References 32 publications

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“…For example, the proportion of built-up and vegetated area has been measured and used as a proxy to determine a settlement type to determine the vulnerability of such settlements to disasters [33]. Proxies can also be separated into two groups based on their use in the RS field: (i) not-directly observable physical parameters, e.g., use of shadow to determine the height of an element at risk (building) [37,38], (ii) and measures to assess processes and functions, e.g., the building morphology and use to determine functionality of buildings and urban areas to assess the post-disaster recovery processes and vulnerability [39].…”

Section: Defining a Proxy In Remote Sensingmentioning

confidence: 99%

“…In another study, Liu, et al [39] utilize length of roads as a proxy to evaluate the storm surge vulnerability of urban area, and Brown, et al [48] use it for recovery assessment. However, a non-functioning road does not demonstrate the successful recovery processes.…”

Section: Transport Categorymentioning

confidence: 99%

“…Landsat ETM+ [122] Building geometry and heights Usually in an urban area commercial buildings are higher than other buildings, also industrial buildings have bigger sizes and irregular shapes. Used for building use and density calculations and then economic value Vulnerability Oblique imagery [39] Farmland ratio Used for detecting human/economic activities. High farmland ratio shows higher economic activities Vulnerability VHR-HR images [103] Disruption of livelihood options for local population is a key component of disaster risk and resilience assessments.…”

Section: Recoverymentioning

confidence: 99%

“…For instance, building geometry and heights have been employed as proxies to assess the number of floors of buildings with economic activities. These two proxies may indicate the density of such activities, which is essential for computing the economic value of an urban area [39]. Building heights, when integrated with local construction regulations, provide reliable data to compute the number of floors.…”

Section: Recoverymentioning

confidence: 99%

“…Transportation facilities are a vital infrastructure. Hence, their availability define the better life condition for the people living in the region and they form the basis for assessing social vulnerability of an urban area [39]. In addition, a distance between buildings and lifelines (e.g., hospitals) is important in emergency cases: the longer this distance the higher is the social vulnerability of urban areas [33,93,136,137].…”

Section: Services and Infrastructuresmentioning

confidence: 99%

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Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

2018

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Rapid increase in population and growing concentration of capital in urban areas has escalated both the severity and longer-term impact of natural disasters. As a result, Disaster Risk Management (DRM) and reduction have been gaining increasing importance for urban areas. Remote sensing plays a key role in providing information for urban DRM analysis due to its agile data acquisition, synoptic perspective, growing range of data types, and instrument sophistication, as well as low cost. As a consequence numerous methods have been developed to extract information for various phases of DRM analysis. However, given the diverse information needs, only few of the parameters of interest are extracted directly, while the majority have to be elicited indirectly using proxies. This paper provides a comprehensive review of the proxies developed for two risk elements typically associated with pre-disaster situations (vulnerability and resilience), and two post-disaster elements (damage and recovery), while focusing on urban DRM. The proxies were reviewed in the context of four main environments and their corresponding sub-categories: built-up (buildings, transport, and others), economic (macro, regional and urban economics, and logistics), social (services and infrastructures, and socio-economic status), and natural. All environments and the corresponding proxies are discussed and analyzed in terms of their reliability and sufficiency in comprehensively addressing the selected DRM assessments. We highlight strength and identify gaps and limitations in current proxies, including inconsistencies in terminology for indirect measurements. We present a systematic overview for each group of the reviewed proxies that could simplify cross-fertilization across different DRM domains and may assist the further development of methods.While systemizing examples from the wider remote sensing domain and insights from social and economic sciences, we suggest a direction for developing new proxies, also potentially suitable for capturing functional recovery.2 of 30 threats, to reduce own overall vulnerability, and to allow the community to recover from adverse impacts when they occur. Decades of disaster research offer extensive findings in this respect [4][5][6][7]. Remote sensing (RS)-as an effective and rapid tool for monitoring large areas-is essential for the acquisition of geospatial data, which in turn constitutes the basis for risk assessment and management. RS is widely used for various aspects of the DRM, ranging from vulnerability [8] to rapid damage assessments [9], for diverse areas ranging from coastal ecosystems [10] to complex urban settings [11], and for disasters as diverse as landslides [12,13] or cyclones [14].Numerous methods have been developed to extract information from RS data to identify, characterize, or quantify different phases of the disaster risk cycle: response, recovery, prevention/mitigation, and preparedness [15]. However, early studies predominantly considered the physical side of the assessments for both ...

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Section: Defining a Proxy In Remote Sensingmentioning

confidence: 99%

Section: Transport Categorymentioning

confidence: 99%

Section: Recoverymentioning

confidence: 99%

Section: Recoverymentioning

confidence: 99%

Section: Services and Infrastructuresmentioning

confidence: 99%

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Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

2018

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Can Virtual Reality Become Real? How Immersive Virtual Experiences Might Trickle into the Real World

Lai

Klöckner²

2022

Disruptive Environmental Communication

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Coastal vulnerability assessment for the coast of Tamil Nadu, India—a geospatial approach

Abijith

Saravanan

Parthasarathy

2023

Environ Sci Pollut Res

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The objective of this study is to develop a spatial coastal vulnerability index (CVI) map for the Tamil Nadu (TN) coast of India. TN has a diversity of coastal and marine environments, which are ecologically fragile zones. Climate change is expected to increase the intensity and frequency of severe coastal hazards, such as those brought on by rising sea levels, cyclones, storm surges, tsunamis, erosion, and accretion, which will have a severe impact on the local environmental and socioeconomic conditions. This research employed expert knowledge as well as weights and scores from the analytical hierarchy process (AHP) to create vulnerability maps includes the integration of various parameters such as geomorphology, Land use and Land Cover (LULC), Signi cant Wave Height (SWH), Sea Level Rise (SLR), Shoreline Change (SLC), Bathymetry, Elevation and coastal inundation. Based on the results very low 17.26%, low 30.77%, Moderate 23.46%, high 18.20% and very high 10.28%. The several locations tend to be high and very high due to coastal structures and landuse patterns, but few are high because of geomorphological features. This study establishes a framework for decisionmakers to implement climate change adaptation and mitigation actions in coastal zones.

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A quantitative method for storm surge vulnerability assessment – a case study of Weihai city

Cited by 17 publications

References 32 publications

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

Can Virtual Reality Become Real? How Immersive Virtual Experiences Might Trickle into the Real World

Coastal vulnerability assessment for the coast of Tamil Nadu, India—a geospatial approach

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