Vulnerability assessment including tangible and intangible components in the index composition: An Amazon case study of flooding and flash flooding

Andrade, Milena Marília Nogueira de; Szlafsztein, Cláudio Fabian

doi:10.1016/j.scitotenv.2018.02.271

Cited by 61 publications

(41 citation statements)

References 34 publications

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“…Rana et al [9] found that timely dissemination of flood warnings from responsible institutes also limits exposure of the population and their moveable assets to floods in Pakistan [9]. In case of a flood event, both formal and informal institutions manage emergency and recovery by carrying out evacuation operations, provide relief items, and give compensation in form of financial aid, building materials, seeds, fertilizers, as well as reconstruct rural infrastructure in Brazil, India, and Bangladesh [82,[119][120][121]. Moreover, these institutions provide training on skill development for livelihood diversification, disaster awareness programs, extension services on changing cropping patterns, information of weather and new technologies in the aftermath of flood hazards [98,104].…”

Section: Institutionalmentioning

confidence: 99%

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

et al. 2020

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Rural areas are highly vulnerable to floods due to limited social, economic, and physical resources. Understanding rural vulnerability is vital for developing effective disaster risk reduction strategies. Even though rural areas and cities are intrinsically linked, rural vulnerability was assessed without considering its relation to cities. Numerous theoretical frameworks on systemizing and assessing vulnerability were developed with varying level of scope and depth in terms of scale, dimensions, and components. Nevertheless, these frameworks did not explicitly mention the impact of flood or other hazards on the linkages between spatial units i.e., rural and urban. This study aims to understand and conceptualize the rural vulnerability with respect to the dynamics of rural–urban linkages in the case of flood events. To do so, current literature on rural–urban linkages, vulnerability, as well as factors that influence them were critically reviewed. Taking into account the main elements of rural–urban linkages (flow of people, information, finances, goods and services), components of vulnerability (exposure, susceptibility, and capacity), and factors (social, economic, institutional, infrastructural, spatial, and environmental), a unified framework is proposed. The framework underscores that the role of rural–urban linkages is essential to fully understand rural flood vulnerability. Moreover, the framework highlights the role of spatial factors—city size and proximity to the city—as crucial to comprehend rural vulnerability. This framework can be used as a tool for understanding multifaceted rural vulnerability for climate change adaptation and disaster risk reduction considering spatial development perspective. In this context, empirical investigations can be made to validate the proposed framework and policies can be introduced accordingly. Overall, the proposed framework can help recognize concepts and links of vulnerability, rural–urban dependencies, and rural development dynamics.

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Section: Institutionalmentioning

confidence: 99%

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

et al. 2020

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“…The internal drainage system comprises the Irurá (6.6 kilometre extension) and Urumari (7.5 kilometre extension) Rivers (Pimentel and Melo, 2014). The river lengths in the study area are believed to be moderately and highly vulnerable to flooding (ANA, 2014), and there is a very high probability of damage because of the presence of vulnerable structures (Andrade et al, 2017;Andrade and Szlafsztein, 2018). Flood damage in the urban part of Santarém is classified as personal material damage (that is, to electrical devices, furniture, and households), economic damage (that is, a decrease in profits owing to limited access and agricultural losses), and immaterial damage (that is, epidemic disease) (Andrade and Szlafsztein, 2015).…”

Section: The Study Areamentioning

confidence: 99%

“…Fluctuations in water levels along these major rivers vary between two and eight metres in the dry and rainy seasons, respectively (Andrade et al, 2017). The populations along the floodplains live in highdensity conditions in urban areas and face moderate to high infrastructural and socioeconomic vulnerability (Brondizio and Moran, 2008;Mansur et al, 2016;Andrade and Szlafsztein, 2018).…”

Section: Introductionmentioning

confidence: 99%

Coping and adaptation strategies and institutional perceptions of hydrological risk in an urban Amazonian city

Andrade

Szlafsztein

2020

Disasters

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This paper investigates coping and adaptation strategies and institutional perceptions of hydrological risk at the local scale in Santarém, an Amazonian city in the state of Pará, Brazil. Methods and tools of analysis encompassed secondary data, field observations, and qualitative techniques (focus‐group discussions and in‐depth interviews). Stakeholders from affected neighbourhoods describe their means of coping with and adapting to flooding, focusing on purposefulness, type of initiative and investment, risk timing, temporal and spatial scope, and performance. The results comprise an inventory of 16 mostly structural measures. The perceptions of six institutions of general responses to flooding are presented as opinions on actions that reduce the effects of such events, individual strategies and collective community endeavours in at‐risk areas, and the activities of the public and private sectors to manage floods. Understanding of coping and adaptation strategies and knowledge of institutional flood risk perceptions can benefit the implementation of risk and disaster reduction policies and practices.

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“…Research studies on worldwide change of environment and sustainability sciences have found vulnerability as the main concern [1][2][3][4][5][6][7][8][9][10]. The urban vulnerability is a result of human behavior which describes the extent of susceptibility or resilience of social, economic, and physical assets to the natural disasters [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment

et al. 2018

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Vulnerability assessment is one of the prerequisites for risk analysis in disaster management. Vulnerability to earthquakes, especially in urban areas, has increased over the years due to the presence of complex urban structures and rapid development. Urban vulnerability is a result of human behavior which describes the extent of susceptibility or resilience of social, economic, and physical assets to natural disasters. The main aim of this paper is to develop a new hybrid framework using Analytic Network Process (ANP) and Artificial Neural Network (ANN) models for constructing a composite social, economic, environmental, and physical vulnerability index. This index was then applied to Tabriz City, which is a seismic-prone province in the northwestern part of Iran with recurring devastating earthquakes and consequent heavy casualties and damages. A Geographical Information Systems (GIS) analysis was used to identify and evaluate quantitative vulnerability indicators for generating an earthquake vulnerability map. The classified and standardized indicators were subsequently weighed and ranked using an ANP model to construct the training database. Then, standardized maps coupled with the training site maps were presented as input to a Multilayer Perceptron (MLP) neural network for producing an Earthquake Vulnerability Map (EVM). Finally, an EVM was produced for Tabriz City and the level of vulnerability in various zones was obtained. South and southeast regions of Tabriz City indicate low to moderate vulnerability, while some zones of the northeastern tract are under critical vulnerability conditions. Furthermore, the impact of the vulnerability of Tabriz City on population during an earthquake was included in this analysis for risk estimation. A comparison of the result produced by EVM and the Population Vulnerability (PV) of Tabriz City corroborated the validity of the results obtained by ANP-ANN. The findings of this paper are useful for decision-makers and government authorities to obtain a better knowledge of a city's vulnerability dimensions, and to adopt preparedness strategies in the future for Tabriz City. The developed hybrid framework of ANP and ANN Models can easily be replicated and applied to other urban regions around the world for sustainability and environmental management.

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Vulnerability assessment including tangible and intangible components in the index composition: An Amazon case study of flooding and flash flooding

Cited by 61 publications

References 34 publications

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

Coping and adaptation strategies and institutional perceptions of hydrological risk in an urban Amazonian city

A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment

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