Indicator-based approach for flood vulnerability assessment in ancient heritage city of Hoi An, Central Region of Vietnam

Nguyen, Thuy Linh; Asahi, Chisato; An, Tran Thi; Le, Ngoc Hanh

doi:10.1007/s11069-022-05475-9

Cited by 9 publications

(6 citation statements)

References 36 publications

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“…The most di cult task in constructing an index is the selection of indicators, which depends on the quality of the available variables and the subjectivity inherent in decision-making (Nardo et al, 2005). However, there is no hard and fast rule that de nes the variables and indicators to be taken into account when assessing vulnerability to ooding because the indicators will depend on the context of each city, the needs of the users, the information available, the precipitation, the lithology, and the slope angle (Nguyen et al, 2022). Therefore, rather than a strict conceptual framework, it is relevant to identify the types of components, dimensions, and indicators that are useful for vulnerability analysis.…”

Section: Methodsmentioning

confidence: 99%

Spatial Approach to Assess Multidimensional Vulnerability to Urban Flooding: A Proposal for Indicators

Vaca,

Rodríguez-Roda,

Popartan

et al. 2024

Preprint

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This study introduces a methodology for evaluating vulnerability to urban flooding across different dimensions, by employing spatial data analysis. The methodology consists of four steps: (1) selection of indicators that reflect the vulnerability of an urban area, (2) normalization of the data for each selected indicator across all dimensions, (3) assignment of weights for each indicator and dimension, and (4) mapping and classification using spatial analysis, resulting in a regular grid. This study proposes a comprehensive list of 31 potential indicators for quantifying vulnerability, with each indicator falling under one of the five dimensions (social, economic, environmental, physical, and institutional) and three components of vulnerability (exposure, susceptibility, and resilience), which are part of Step 1. Additionally, the methodology is complemented by a data generation and spatial analysis technique for Step 4. The proposed methodology can serve planners and policymakers to make objective decisions, based on vulnerability quantification, considering each dimension separately, as well as integrating with each other, using a multidimensional and spatial representation of flood risk vulnerability.

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Section: Methodsmentioning

confidence: 99%

Spatial Approach to Assess Multidimensional Vulnerability to Urban Flooding: A Proposal for Indicators

Vaca,

Rodríguez-Roda,

Popartan

et al. 2024

Preprint

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“…The town's altitude varies from 70 to 517 meters above sea level, situated within a hot and humid tropical monsoon climate characterized by rainy seasons [23]. Accordingly, QN town, positioned in a low-lying delta near an estuary and coastal environment (Figure 1), is vulnerable to various natural impacts, with the primary threat being floods during rainy seasons due to changes in land use in the town and surrounding areas which are exacerbated by approximately 25% of Vietnam's typhoons affecting the area [23,24].…”

Section: Study Areasmentioning

confidence: 99%

Assessment of household adaptive capacity to disasters: Two comparative case studies in Central Vietnam

Nguyen Thao,

Tran Thi,

Yuki Ishikawa

et al. 2024

JHM

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This paper presents comparative case studies between an ancient town in Quang Nam province (QN town), and a commune in Da Nang city (DN commune) in order to quantitatively assess the adaptive capacity of households in response to natural disasters. An indicator-based assessment with a set of 13 indicators is applied in this study. The results of 85 interviewed households in two study areas revealed that despite the higher probabilities of disaster occurrence, the households in QN town demonstrated better adaptive capacity compared to those in DN commune. The quantitative assessment (on a 0-1 scale) of adaptive capacity in the QN town and DN commune showed the values of 0.61 and 0.55, respectively. QN town had higher adaptive capacity than DN commune due to higher income stability, better preparedness measures for disasters, higher percentages of households receiving disaster warning information, better accessibility to clean water, healthcare service, food, and financial support during and after disasters. Conversely, DN commune demonstrated higher insurance coverage, higher percentages of households participating in social organizations, and receiving social support during and after disasters. Drawing from the findings that influence the difference in adaptive capacity levels between households in QN town and DN commune, the study subsequently proposes the recommendations for policymakers and individuals in both areas to improve their long-term prevention and preparedness strategies, enabling them to effectively respond to natural disasters.

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“…Firstly, the accuracy assessment for climate change vulnerability map has still not been carried out, since the vulnerability is a multidimensional problem and hence it is difficult to obtain the field measurement data of this index for validation. However, previous studies [12] [15] [17] and [22] has pointed out that the accuracy of the vulnerability assessment mainly depends on the accuracy of the input data. Up to now, the accuracy assessment of the vulnerability map is still challenging for many studies.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

“…Indicator-based approach is an effective way to assess climate change vulnerability that not many studies have utilized up to date. Recently, several authors have applied the vulnerability approach in assessment of the impact of different natural hazards such as floods [12] [13] [15] and [17] or droughts [18] and [19]. These studies tried to applied Geographic Information System (GIS) and multi-criteria analysis in vulnerability evaluation, but their assessment only focused on a specific hazard.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Vulnerability Assessment Using GIS and Fuzzy AHP on an Indicator-Based Approach

2023

IJG

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This study aims at integrating GIS method and fuzzy AHP to evaluate the impact of climate change under the vulnerability concept. The results of this empirical study in Da Nang city have significant scientific contribution to the generation of comprehensive indicators for assessing the vulnerability in coastal cities in Central region of Vietnam. The approach of the Intergovernmental Panel on Climate Change (IPCC) in climate change vulnerability assessment has been examined considering three main components of vulnerability which are exposure to hazards, local sensitivity and adaptive capacity. GIS-based approach was applied to generate a set of indicators and the fuzzy AHP method was investigated for determination of the weighted scheme for parameters included in the climate vulnerability assessment. The study results indicate that the coastal districts including Son Tra and Ngu Hanh Son districts are most vulnerable to climate change due to high exposure, high sensitivity and limited adaptive capacity. On the contrary, the district with high level of adaptive capacity such as Hai Chau district is usually ranged in low level of vulnerability. The results confirm the importance of enhancing adaptive capacity in responding to the impact of climate change.

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Indicator-based approach for flood vulnerability assessment in ancient heritage city of Hoi An, Central Region of Vietnam

Cited by 9 publications

References 36 publications

Spatial Approach to Assess Multidimensional Vulnerability to Urban Flooding: A Proposal for Indicators

Spatial Approach to Assess Multidimensional Vulnerability to Urban Flooding: A Proposal for Indicators

Assessment of household adaptive capacity to disasters: Two comparative case studies in Central Vietnam

Climate Change Vulnerability Assessment Using GIS and Fuzzy AHP on an Indicator-Based Approach

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