Search Results (61)

Sand and dust storms (SDS) pose a wide range of hazards to human society, affecting people in drylands and beyond. This paper, based on a wide-ranging review of the scientific and grey literature, presents, for the first time, a comprehensive synthesis of mitigation and adaptation interventions designed to manage the risks involved and thus build resilience to these SDS hazards in line with the Sendai Framework for Disaster Risk Reduction 2015–2030 (Sendai Framework) and the Sustainable Development Goals. It highlights case studies and good practice examples of measures available to reduce the risks and impacts associated with SDS beyond SDS source areas. These measures, which are interrelated and complementary, are summarized under education initiatives (for schools, specific sectors and vulnerable groups), risk/impact assessments (involving information on hazard, exposure and vulnerability), vulnerability assessment/mapping, integrated monitoring and early warning (using the World Meteorological Organization’s Sand and Dust Storm Warning Advisory and Assessment System, or SDS-WAS) and emergency response and risk reduction plans (including contingency planning). Many of these measures are developed for other hazards, but not for SDS. Data availability is an important issue in this regard, and the example of Kuwait illustrates that even with a relatively good understanding of SDS, many aspects of impact mitigation remain poorly understood. Developing appropriate responses to SDS hazards is a matter of some urgency given climate change projections that indicate more frequent and intense SDS emissions due to increased aridity and worsening drought conditions (frequency, severity and duration). Full article

Human impact by floods and landslides (FLs) is a significant concern, necessitating a deeper understanding to implement effective reduction measures, in line with the Sendai Framework for Disaster Risk Reduction’s goal to reduce disaster mortality between 2020 and 2030. This study examines the evolution of human interaction with FLs over the past 70 years in Calabria, Italy. By systematically analyzing regional newspapers and historical archives from 1951–1960 and 2011–2020, a database was created documenting fatalities, injuries, and the involvement of people in FL incidents. For each victim, the database includes demographic details, accident time and place, circumstances of death or injury, and whether the victim’s behavior was hazardous or protective. Results indicate a drastic reduction in both the total number of fatalities (196 versus 20) and high mortality events from 1951–1960 to 2011–2020 (6 versus 1). However, the number of people involved in incidents has increased (202 versus 1102), although this may be partly due to improved dissemination of information. Changes in population habits and the construction of more robust houses have significantly reduced high-fatality events, enhancing security. The study highlights the importance of data collection for developing locally tailored risk reduction strategies, increasing community resilience by addressing specific vulnerabilities and strengths. Full article

The foremost priority of the Sendai Framework for Disaster Risk Reduction (SFDRR) is the increased understanding of disaster risk and strengthening its management. Detailed insights into African disaster risk drivers and assessment of policies for Disaster Risk Reduction (DRR) are sparse, hence this study. Using the Index for Risk Management (INFORM) data for 2022, this study determines important disaster risk drivers in Africa using a random forest machine learning model. Violent conflicts, current and projected, emerge as the only hazard factor significantly predictive of disaster risk in Africa, from the analyzed data. Other factors are mostly the sub-components of lack of coping capacity. Furthermore, 25 policies of the 10 countries of very high disaster risk were analyzed to evaluate their inclusion of pre-identified disaster risk factors. The findings of this study depart from the viewpoint of giving natural hazards greater attention in African disaster risk literature. Moreover, identified disaster risk drivers in Africa coincide with the social dimension of disasters, and broader continental developmental and policy issues. As Africa grapples with the complex interplay of environmental, socioeconomic, and conflict-related factors shaping disaster risk, the imperative arises for the development and implementation of comprehensive policies aimed at poverty and vulnerability-reduction to foster resilience across the region. Full article

Despite great efforts in facing climate change challenges—especially by the UN Paris Agreement, the 2030 Agenda for Sustainable Development, and companion documents (Sendai Framework for Disaster Risk Reduction and the New Urban Agenda)—generally speaking, current policies on climate change and Disaster Risk Reduction at both national and international levels have not yet been centrally positioned in respective plans for heritage, and cultural heritage still does not have a central role in such policies. The main aim of this paper is to explore the culture/cultural heritage’s complex interrelationship with climate change by delving into critical issues/gaps and recommendatory encounters of heritage framework in climate change framework and vice versa at the international level and an example in India. Accordingly, this paper showcases a type of Indian Water Infrastructure Heritage; Stepwells, traditional underground water management systems in arid western India which, unfortunately, with modernization, lost their original function and hence, nowadays, most are abandoned. Thus, by the situational analysis of such an Indian urban-scale type of heritage, this paper concludes with critical reflections on the necessity of the systemic relationship among sustainability, conservation, and development, especially in practice and the need to recall the notion of sustainability again. Full article

Addressing the second priority of the Sendai Framework on Disaster Risk Reduction (SFDRR) for strengthening disaster risk governance, this paper considers coastal regions from a Socio-Ecological System (SES) perspective. It identifies the drivers of risk and critical linkages between various key components of coastal SESs that can potentially influence the resilience of coastal regions. The study considers that, in a coastal area, where the system is complex with numerous stakeholders, any decision taken in the form of developmental policy or as an adaptive practice is critical for system changes, thereby making risk anticipation and its management difficult. To further conduct a detailed investigation of this subject, seven settlements along the coastal Andhra Pradesh (India) region were methodically selected. Herein, focus group discussions were conducted to prepare fuzzy cognitive maps (FCM), which were further analyzed through the mental modeler online platform. By analyzing the structural metrics of the FCM, saltwater intrusion was identified as a significant system component. Furthermore, the study also analyzed the effects of change on the characteristics of selected SES components regarding the effectiveness of existing governance strategies and, conversely, the impact of implementing governance strategies on the identified critical components of SES. By critically examining the various scenarios thus generated, the research identifies various components, generating vulnerabilities in human systems. The derived results were cross-validated through community consultation, and the temporal variations in the state of system components were mapped. The study is expected to provide considerable input to policymakers for enhancing decision-making in coastal regions from an SES perspective. Full article

The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) proposed seven targets comprising 38 quantified indicators and various sub-indicators to monitor the progress of disaster risk and loss reduction efforts. However, challenges persist regarding the availability of disaster-related data and the required resources to address data gaps. A promising way to address this issue is the utilization of Earth observation (EO). In this study, we proposed an EO-based disaster evaluation framework in service of the SFDRR and applied it to the context of tropical cyclones (TCs). We first investigated the potential of EO in supporting the SFDRR indicators, and we then decoupled those EO-supported indicators into essential variables (EVs) based on regional disaster system theory (RDST) and the TC disaster chain. We established a mapping relationship between the measurement requirements of EVs and the capabilities of EO on Google Earth Engine (GEE). An end-to-end framework that utilizes EO to evaluate the SFDRR indicators was finally established. The results showed that the SFDRR contains 75 indicators, among which 18.7% and 20.0% of those indicators can be directly and indirectly supported by EO, respectively, indicating the significant role of EO for the SFDRR. We provided four EV classes with nine EVs derived from the EO-supported indicators in the proposed framework, along with available EO data and methods. Our proposed framework demonstrates that EO has an important contribution to supporting the implementation of the SFDRR, and that it provides effective evaluation solutions. Full article

The evidence for the capacity of mangrove forests for coastal protection gained more importance within the recent decade because of important international agreements, such as the Sustainable Development Goals and Sendai Framework for Disaster Risk Reduction. However, the degree to which researchers agree on the capacity of mangroves to reduce coastal hazards is not fully established. This study employed a multilevel review process that selected 45 peer-reviewed articles for detailed analysis. Significant findings revealed a strong agreement amongst scientific literature on the benefits of mangrove forests in reducing coastal hazards. However, findings also revealed the dominance of single-discipline research, and less representation of countries in Africa and South America. Limitations in sampled studies highlight the limited number of global studies conducted on mangrove forests’ effectiveness in attenuating coastal hazards, and the limited representation of development and disaster studies. It is recommended that future research on mangrove forests and their coastal hazard reduction capacity should explore multidisciplinary approaches, and synergies in fieldwork and simulation methods while considering possible future climate change situations. Full article

In the field of Earth observation, the importance of in situ data was recognized by the Group on Earth Observations (GEO) in the Canberra Declaration in 2019. The GEO community focuses on three global priority engagement areas: the United Nations 2030 Agenda for Sustainable Development, the Paris Agreement, and the Sendai Framework for Disaster Risk Reduction. While efforts have been made by GEO to open and disseminate in situ data, GEO did not have a general way to capture in situ data user requirements and drive the data provider efforts to meet the goals of its three global priorities. We present a requirements data model that first formalizes the collection of user requirements motivated by user-driven needs. Then, the user requirements can be grouped by essential variable and an analysis can derive product requirements and parameters for new or existing products. The work was inspired by thematic initiatives, such as OSCAR, from WMO, OSAAP (formerly COURL and NOSA) from NOAA, and the Copernicus In Situ Component Information System. The presented solution focuses on requirements for all applications of Earth observation in situ data. We present initial developments and testing of the data model and discuss the steps that GEO should take to implement a requirements database that is connected to actual data in the GEOSS platform and propose some recommendations on how to articulate it. Full article

Currently, there are many natural disasters such as floods, landslides, earthquakes, and climate change. These disasters certainly affect the conditions of human life from economic, social, and environmental perspectives. Therefore, it is necessary to take preventive action and learn so that people understand the potential for disasters and how to deal with them. The geography education curriculum is one of the subjects that contains topics on disaster education, but this has not been carried out thoroughly in Malaysia. This study analysed the types of natural disasters and elements of priorities for action in reducing disaster risks, based on the Sendai framework. The data were collected from the Ministry of Education Malaysia, namely Kurikulum Standard Sekolah Menengah (KSSM) of Geography form 4 and 5 Secondary School, geography textbook form 4, and geography textbook form 5. The data were analysed by a qualitative method with a content analysis approach. All documents were analysed with a focus on disaster risk reduction materials, based on the Sendai framework. As a result, the geography education curriculum for secondary schools in Malaysia has included these types of natural disasters: earthquakes, tsunamis, floods, landslides, droughts, hurricanes, and volcanoes. It also includes four elements of priority action for disaster risk reduction, albeit with an uneven composition. Overall, this study has shown that elements of Disaster Risk Reduction (DRR) were included in the geography education curriculum for secondary schools in Malaysia. Full article

The 2030 Sustainable Development Goals (SDGs) offer a blueprint for global peace and prosperity, while conserving natural ecosystems and resources for the planet. However, factors such as climate-induced weather extremes and other High-Impact Low-Probability (HILP) events on their own can devastate lives and livelihoods. When a pandemic affects us, as COVID-19 has, any concurrent hazards interacting with it highlight additional challenges to disaster and emergency management worldwide. Such amplified effects contribute to greater societal and environmental risks, with cross-cutting impacts and exposing inequities. Hence, understanding how a pandemic affects the management of concurrent hazards and HILP is vital in disaster risk reduction practice. This study reviews the contemporary literature and utilizes data from the Emergency Events Database (EM-DAT) to unpack how multiple extreme events have interacted with the coronavirus pandemic and affected the progress in achieving the SDGs. This study is especially urgent, given the multidimensional societal impacts of the COVID-19 pandemic amidst climate change. Results indicate that mainstreaming risk management into development planning can mitigate the adverse effects of disasters. Successes in addressing compound risks have helped us understand the value of new technologies, such as the use of drones and robots to limit human exposure. Enhancing data collection efforts to enable inclusive sentinel systems can improve surveillance and effective response to future risk challenges. Stay-at-home policies put in place during the pandemic for virus containment have highlighted the need to holistically consider the built environment and socio-economic exigencies when addressing the pandemic’s physical and mental health impacts, and could also aid in the context of increasing climate-induced extreme events. As we have seen, such policies, services, and technologies, along with good nutrition, can significantly help safeguard health and well-being in pandemic times, especially when simultaneously faced with ubiquitous climate-induced extreme events. In the final decade of SDG actions, these measures may help in efforts to “Leave No One Behind”, enhance human–environment relations, and propel society to embrace sustainable policies and lifestyles that facilitate building back better in a post-pandemic world. Concerted actions that directly target the compounding effects of different interacting hazards should be a critical priority of the Sendai Framework by 2030. Full article

Data from historical observatories and future simulations were analyzed using the representative concentration pathway (RCP) 8.5 scenario, which covered the period from 1951 to 2100. In order to characterize the drought, three widely used drought indicators were used: the standardized precipitation index (SPI), the reconnaissance drought index (RDI), and the standardized precipitation and evapotranspiration index (SPEI). The ensemble of the seven (7) GCMs that used RCA-4 was able to capture several useful characteristics of Nigeria’s historical climatology. Future climates were forecasted to be wetter than previous periods during the study period based on the output of drought characteristics as determined by SPI. SPEI and RDI predicted drier weather, in contrast. SPEI and RDI’s predictions must have been based on the effect of rising temperatures brought on by global warming as depicted by RCP 8.5, which would then have an impact on the rate of evapotranspiration. According to drought studies using the RCP 8.5 scenario, rising temperatures will probably cause more severe/extreme droughts to occur more frequently. SPEI drought frequency changes in Nigeria often range from 0.75 (2031–2060) to 1.80 (2071–2100) month/year, whereas RDI changes typically range from 0.30 (2031–2060) to 0.60 (2071–2100) month/year. The frequency of drought incidence has recently increased and is now harder to forecast. Since the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) and the Sustainable Development Goals (SDGs) have few more years left to be completed, drastic efforts must be made to create climate-resilient systems that can tackle the effects that climate change may have on the water resources and agricultural sectors. Full article

Contemporary water and environmental governance must address the diverse common objectives that have merged to target economic development, social equity, and environmental sustainability. Climate and land use changes, coupled with natural environmental hazards, generate immense and complex issues and challenges around the globe. Multilateral environmental agreements, the EU Water Framework and other directives, national policies and international conventions relevant to water and environmental governance indicate an ecosystem approach. With respect to disaster risk reduction, all the Sendai Framework priorities include ecosystems. The natural water retention capacity (hydrological ecosystem services) of river basins benefits from water/environmental governance and the disaster risk reduction perspective of selected environmental hazards is elaborated upon; the presented results underline the measures that improve river basin management and increase resilience to natural environmental hazards at selected river basins. Full article

The archipelagic Romblon province frequently experiences typhoons and heavy rains that causes extreme flooding, this produces particular concern about the severity of damage in the Municipality of Odiongan. Hence, this study aimed to assess the spatial flood risk of Odiongan using the analytical hierarchy process (AHP), considering disaster risk factors with data collected from various government agencies. The study employed the geographic information system (GIS) to illustrate the spatial distribution of flooding in the municipality. Sendai Framework was the basis of risk analysis in this study. The hazard parameters considered were average annual rainfall, elevation, slope, soil type, and flood depth. Population density, land use, and household number were considered parameters for the exposure assessment. Vulnerability assessments considered gender ratio, mean age, average income, number of persons with disabilities, educational attainment, water usage, emergency preparedness, type of structures, and distance to evacuation area as physical, social, and economic factors. Each parameter was compared to one another by pairwise comparison to identify the weights based on experts’ judgment. These weights were then integrated into the flood risk assessment computation. The results led to a flood risk map which recorded nine barangays (small local government units) at high risk of flooding, notably the Poblacion Area. The results of this study will guide local government units in developing prompt flood management programs, appropriate mitigation measures, preparedness, and response and recovery strategies to reduce flood risk and vulnerability to the population of Odiongan. Full article

Monitoring the world’s areas that are more vulnerable to natural hazards has become crucial worldwide. In order to reduce disaster risk, effective tools and relevant land cover (LC) data are needed. This work aimed to generate a high-resolution LC map of flood-prone rural villages in southwest Niger using multispectral drone imagery. The LC was focused on highly thematically detailed classes. Two photogrammetric flights of fixed-wing unmanned aerial systems (UAS) using RGB and NIR optical sensors were realized. The LC input dataset was generated using structure from motion (SfM) standard workflow, resulting in two orthomosaics and a digital surface model (DSM). The LC system is composed of nine classes, which are relevant for estimating flood-induced potential damages, such as houses and production areas. The LC was generated through object-oriented supervised classification using a random forest (RF) classifier. Textural and elevation features were computed to overcome the mapping difficulties due to the high spectral homogeneity of cover types. The training-test dataset was manually defined. The segmentation resulted in an F1_score of 0.70 and a median Jaccard index of 0.88. The RF model performed with an overall accuracy of 0.94, with the grasslands and the rocky clustered areas classes the least performant. Full article