“…This understanding of disastrous floods adheres to thresholds of global disaster databases. Given the biases in recording event consequences 230 and the different approaches of global disaster databases 231 , the boundary between disastrous flooding and non-disastrous flooding is fuzzy. However, flood events are considered to be disastrous here when they are included in EmDAT 172 and/or are classified as "large floods" in the Dartmouth Flood Observatory (DFO) 171 .…”
River floods caused about 7 million fatalities in the twentieth century 1 , and their direct global average annual loss (AAL) is estimated at US$ 104 billion (2015Exposure to floods is expected to grow by a factor of three by 2050 owing to increases in population and economic assets in flood-prone areas 3 . Depending on the socio-economic scenario, human losses from flooding are projected to rise by 70-83% and direct flood damage by 160-240% relative to 1976-2005, with a temperature increase of 1.5 °C (ref. 4 ). Understanding river flooding and its associated impacts are critical to effective risk reduction.River floods occur when a river overtops its banks and inundates adjacent areas. The expected impact floods have on society and the environment, often termed flood risk, results from the superposition of three components and the associated processes, which tend to be interlinked [5][6][7] , including over large distances 8 . These components are: hazards -the processes leading to high river flood levels; exposure -the elements at risk, such as population or infrastructure; and vulnerabilitythe susceptibility of the elements at risk when they are affected by a flood 2 . These components are, in turn, the compound effects of multiple processes (fig. 1).
“…This understanding of disastrous floods adheres to thresholds of global disaster databases. Given the biases in recording event consequences 230 and the different approaches of global disaster databases 231 , the boundary between disastrous flooding and non-disastrous flooding is fuzzy. However, flood events are considered to be disastrous here when they are included in EmDAT 172 and/or are classified as "large floods" in the Dartmouth Flood Observatory (DFO) 171 .…”
River floods caused about 7 million fatalities in the twentieth century 1 , and their direct global average annual loss (AAL) is estimated at US$ 104 billion (2015Exposure to floods is expected to grow by a factor of three by 2050 owing to increases in population and economic assets in flood-prone areas 3 . Depending on the socio-economic scenario, human losses from flooding are projected to rise by 70-83% and direct flood damage by 160-240% relative to 1976-2005, with a temperature increase of 1.5 °C (ref. 4 ). Understanding river flooding and its associated impacts are critical to effective risk reduction.River floods occur when a river overtops its banks and inundates adjacent areas. The expected impact floods have on society and the environment, often termed flood risk, results from the superposition of three components and the associated processes, which tend to be interlinked [5][6][7] , including over large distances 8 . These components are: hazards -the processes leading to high river flood levels; exposure -the elements at risk, such as population or infrastructure; and vulnerabilitythe susceptibility of the elements at risk when they are affected by a flood 2 . These components are, in turn, the compound effects of multiple processes (fig. 1).
“…The international Emergency Events Database (EM-DAT) lists events where at least 10 people died or at least 100 people were affected (CRED, 2018). The United Nations Office for Disaster Risk Reduction (UNISDR) has set up DesInventar Sendai as a tool for record-ing disaster loss data for the member countries, and it directly addresses "the SFDRR [Sendai Framework for Disaster Risk Reduction] targets A, B, C and D which aims at reducing the human fatalities, number of people affected, financial losses and infrastructural damages by the year 2030" (Panwar and Sen, 2020).…”
Abstract. Comprehensive and sustainable landslide risk management, including the identification of areas susceptible to landslides, requires responsible organisations to collaborate efficiently. Landslide risk management efforts are often made after major triggering events, such as hazard mitigation after the 2015 Gorkha earthquake in Nepal. There is also a lack of knowledge sharing and collaboration among stakeholders to cope with major disaster events, in addition to a lack of efficiency and continuity. There should be a system to allow for landslide information to be easily updated after an event. For a variety of users of landslide information in Nepal, the availability and extraction of landslide data from a common database are a vital requirement. In this study, we investigate the requirements to propose a concept for a web-based Nepalese landslide information system (NELIS) that provides users with a platform to share information about landslide events to strengthen collaboration. The system will be defined as a web GIS (geographic information system) that supports responsible organisations in addressing and managing different user requirements of people working with landslides, thereby improving the current state of landslide hazard and risk management in Nepal. The overall aim of this study is to propose a conceptual framework and design of NELIS. A system like NELIS could benefit stakeholders involved in data collection and landslide risk management in their efforts to report and provide landslide information. Moreover, such a system would allow for detailed and structured landslide documentation and consequently provide valuable information regarding susceptibility and hazard and risk mapping. For the reporting of landslides directly to the system, a web portal is proposed. Based on field surveys, a literature review and stakeholder interviews, a structure of the landslide database and a conceptual framework for the NELIS platform are proposed.
“…Rather than suggesting a dramatic increase in disasters in the last few decades, this suggests that EM-DAT’s scarcity of records for Singapore pre-1986 is reflected across the database as well. Other scholars have also identified EM-DAT’s bias for events that date past 1995, seven years after its establishment (Panwar and Sen 2019 ). Fig.…”
International disaster databases and catalogs provide a baseline for researchers, governments, communities, and organizations to understand the risk of a particular place, analyze broader trends in disaster risk, and justify investments in mitigation. Perhaps because Singapore is routinely identified as one of the safest countries in the world, Singapore’s past disasters have not been studied extensively with few events captured in major global databases such as EM-DAT. In this article, we fill the disaster data gap for postwar Singapore (1950–2020) using specified metrics through an archival search, review of literature, and analysis of secondary sources. We present four key lessons from cataloging these events. First, we expand Singapore’s disaster catalog to 39 events in this time period and quantify the extent of this data gap. Second, we identify the mitigating actions that have followed past events that contribute to Singapore’s present-day safety. Third, we discuss how these past events uncover continuities among vulnerability bearers in Singapore. Last, we identify limitations of a disaster catalog when considering future risks. In expanding the disaster catalog, this case study of Singapore supports the need for comprehensive understanding of past disasters in order to examine current and future disaster resilience.
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