A multi-criteria geographic information systems approach for the measurement of vulnerability to climate change

Runfola, Daniel Miller; Ratick, Samuel J.; Blue, Julie; Oliveira, Elia Machado de; Hiremath, Nupur; Giner, Nick; White, Kathleen D.; Arnold, Jeffrey R.

doi:10.1007/s11027-015-9674-8

Cited by 18 publications

(8 citation statements)

References 46 publications

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“…Our model partially addresses this gap by using publicly available geospatial and social data gathered through fieldwork. It is always a great methodological challenge to extract useful information from a large set of datasets for environmental decision making (Runfola et al 2017). With the help of geospatial techniques and a decision support system, our model is able to represent hazard processes in a spatial platform and conduct analyses to compare them.…”

Section: Discussionmentioning

confidence: 99%

A geospatial analysis of multi-hazard risk in Dharan, Nepal

Aksha

Resler

Juran

et al. 2020

Geomatics, Natural Hazards and Risk

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Natural hazard risk assessment generally focuses on a single hazard type, such as earthquakes, landslides, or floods. This emphasis tends to consider physical processes in isolation. However, most locations are simultaneously at risk to multiple, interacting hazards that generate cascading effects or synergies. Although scholars have proposed a multi-hazard risk framework based on probabilities, the quality and quantity of data required for such an approach are often unavailable in developing countries. Using geospatial and socioeconomic data, this study represents a first step in assessing multi-hazard risk in the city of Dharan, Nepal. Three hazards-landslides, floods, and earthquakes-were considered for an integrated hazard assessment using statistical methods and the Analytic Hierarchy Process (AHP). We employed a Social Vulnerability Index (SoVI) to create a vulnerability map of the study area, which was then combined with a multi-hazard hazard map to produce a total risk map. Our results indicate that eastern Dharan along the Seuti River and southwestern Dharan on the left bank of the Sardu River are at high risk to multiple hazards. Central Dharan and the hills in the western portion of the city are categorized as low risk areas. Data limitations, such as availability and spatial resolution, did not allow for dynamic modeling; however, our results identified the spatial extent of low to high risk areas, which can inform future disaster planning. For example, the methodology and results of this study could assist in the development of disaster risk reduction programs and policies. ARTICLE HISTORY

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Section: Discussionmentioning

confidence: 99%

A geospatial analysis of multi-hazard risk in Dharan, Nepal

Aksha

Resler

Juran

et al. 2020

Geomatics, Natural Hazards and Risk

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“…Advanced data sources and statistical methods are moving beyond the mapping of hotspots to help elicit the drivers of vulnerability and, by extension, what interventions are possible (e.g., McCusker et al, ; van Wesenbeeck et al, ). These approaches often use relatively recent survey data (e.g., Demographic and Health Surveys or Living Standards Measurement Surveys), tied to specific locations through the centroids of sample locations and interpolated using spatial kriging, to tease out the factors contributing to vulnerability, along with advanced statistics and geospatial analysis to target development interventions (e.g., Runfola et al, ).…”

Section: Recommendations and Future Directionsmentioning

confidence: 99%

Climate vulnerability mapping: A systematic review and future prospects

Sherbinin

Bukvic

Rohat

et al. 2019

WIREs Climate Change

114

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Maps synthesizing climate, biophysical and socioeconomic data have become part of the standard tool‐kit for communicating the risks of climate change to society. Vulnerability maps are used to direct attention to geographic areas where impacts on society are expected to be greatest and that may therefore require adaptation interventions. Under the Green Climate Fund and other bilateral climate adaptation funding mechanisms, donors are investing billions of dollars of adaptation funds, often with guidance from modeling results, visualized and communicated through maps and spatial decision support tools. This paper presents the results of a systematic review of 84 studies that map social vulnerability to climate impacts. These assessments are compiled by interdisciplinary teams of researchers, span many regions, range in scale from local to global, and vary in terms of frameworks, data, methods, and thematic foci. The goal is to identify common approaches to mapping, evaluate their strengths and limitations, and offer recommendations and future directions for the field. The systematic review finds some convergence around common frameworks developed by the Intergovernmental Panel on Climate Change, frequent use of linear index aggregation, and common approaches to the selection and use of climate and socioeconomic data. Further, it identifies limitations such as a lack of future climate and socioeconomic projections in many studies, insufficient characterization of uncertainty, challenges in map validation, and insufficient engagement with policy audiences for those studies that purport to be policy relevant. Finally, it provides recommendations for addressing the identified shortcomings. This article is categorized under: Vulnerability and Adaptation to Climate Change > Values‐Based Approach to Vulnerability and Adaptation

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“…Storm events driven by climate change can also exacerbate flood events [29,30]. Detailed strategies for natural hazard mitigation have been proposed by several researchers [31]. In the Mouriki Basin, the land use changes in lowlands in conjunction with small dams in the mountainous part might be the optimal solution for flood mitigation.…”

Section: Resultsmentioning

confidence: 99%

Assessing Flood Hazard at River Basin Scale with an Index-Based Approach: The Case of Mouriki, Greece

Patrikaki¹,

Kazakis

Kougias

et al. 2018

Geosciences

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Defining flood-prone areas is particularly important for policy makers, in order to design mitigation strategies and implement flood risk management planning. The present research applies a multicriteria index method to assess flood hazard areas at a river basin scale, in a geographic information system (GIS) environment. The developed methodology has been applied for an area in northeastern Greece, by processing information of seven parameters: flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The method assigns a relative importance to each of the parameters for the occurrence and magnitude of flooding, and the relevant weight values are defined through an "analytical hierarchy process". Subsequently, and according to the relative importance of each index, the spatial information is superimposed, resulting in a flood hazard map of the studied region, an area in northern Greece. The obtained results indicate flood-prone zones, with a very high flood hazard mainly occurring at the lowlands in the vicinity of the drainage network. The provided flood hazard map supports planning activities and mitigation plans that are crucial to protect both the agricultural activities and existing infrastructure from future flood events.

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A multi-criteria geographic information systems approach for the measurement of vulnerability to climate change

Cited by 18 publications

References 46 publications

A geospatial analysis of multi-hazard risk in Dharan, Nepal

A geospatial analysis of multi-hazard risk in Dharan, Nepal

Climate vulnerability mapping: A systematic review and future prospects

Assessing Flood Hazard at River Basin Scale with an Index-Based Approach: The Case of Mouriki, Greece

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