Abstract

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.

Highlights

  • Human and economic losses to natural hazards have escalated in recent decades (Guha-Sapir et al 2004; Bouwer 2011)

  • This study introduces a model for spatial multi-hazard risk assessment applied to Dharan, Nepal–a location for which spatial data availability is limited in terms of quality, quantity, and access

  • The binomial logistic regression for prediction of landslide presence and absence revealed that distance to streams, elevation, lithology (Siwalik), and lithology (Midland) to be significant predictors (p < 0.05) of landslide presence or absence in Dharan; only variables with statistical significance at the 95% confidence level were included in the risk assessment map

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Summary

Introduction

Human and economic losses to natural hazards have escalated in recent decades (Guha-Sapir et al 2004; Bouwer 2011). Disaster risk reduction (DRR) programs have addressed such losses by identifying and assessing risk in specific geographic locations. GEOMATICS, NATURAL HAZARDS AND RISK (Van Westen et al 2014; Garcia-Aristizabal et al 2015). Since hazards occur at the intersection of socio-ecological systems, reducing hazard loss necessitates a holistic assessment of risk that considers integrated nuances of the physical, built, and social environments of a place. Risk assessment, and vulnerability reduction, are processes that require multidisciplinary knowledge of various coupled physical and social processes to calculate the cumulative level of risk posed by hazards. Few studies have examined integrating multiple hazards in risk and impact assessments (Van Westen et al 2014; Barrantes 2018)

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