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The purpose of this paper is to assess the natural disaster damage of Sichuan province and provide suggestions to prevent or decrease the loss owing to the natural disaster.

The disaster loss system of Sichuan is regarded as a grey system. Five evaluation indicators are selected such as the number of deaths, total affected area, collapsed houses, damaged houses, and the direct economic losses. Grey fixed-weight clustering approach is applied in the cluster analysis. In order to reduce the impact of human factors, grey correlation analysis method is applied to calculate the weights of grey fixed-weight clustering.

The results of this paper indicate that the frequency of occurrence of major natural disaster in Sichuan increased since 2008. The major natural disasters occurred in 2008, 2010, 2011, and 2013. In contrast, there was almost no major disaster during 2000-2007. Minor natural disaster occurred in 2002 and 2003.

Sichuan province is one of the provinces most affected by natural disasters in China. Natural disasters have occurred frequently in Sichuan province since 2008 and pose serious threats to life and property safety. They have become an important restricting factor for economic and social development. In order to prevent or decrease the effects of natural disasters, effective measures should be taken to protect the environment.

This paper first normalizes the raw sequence, calculates the weight, and then establishes the grey cluster model. A new method is applied to determine the weight when evaluating natural disaster damage.

The purpose of this study to provide a reference basis for effectively managing the risk of agrometeorological disasters in Henan Province, speeding up the establishment of a scientific and reasonable system of agrometeorological disasters prevention and reduction and guaranteeing grain security.

Firstly, according to the statistical data of areas covered by natural disaster, areas affected by natural disaster, sown area of grain crops and output of grain crops from 1979 to 2018 in Henan Province, China. We have constructed an agrometeorological disaster risk assessment system for Henan province, China, which is composed of indicators such as rate covered by natural disaster, rate affected by natural disaster, disaster coefficient of variation and disaster vulnerability. The variation characteristics of agrometeorological disasters in Henan Province and their effects on agricultural production are analyzed. Secondly, the grey relational analysis method is used to analyze the relation degree between the main agrometeorological disaster factors and the output of grain crops of Henan Province. Based on the grey BP neural network, the rate covered by various natural disaster and the rate affected by various natural disaster are simulated and predicted.

The results show that: (1) the freeze injury in the study period has a greater contingency, the intensity of the disaster is also greater, followed by floods. Droughts, windstorm and hail are Henan Province normal disasters. (2) According to the degree of disaster vulnerability, the ability to resist agricultural disasters in Henan Province is weak. (3) During the study period, drought and flood are the key agrometeorological disasters affecting the grain output of Henan Province, China.

The systematic analysis and evaluation of agrometeorological disasters are conducive to the sustainable development of agriculture, and at the same time, it can provide appropriate and effective measures for the assessment and reduction of economic losses and risks.

By calculating and analyzing the rate covered by natural disaster, the rate affected by natural disaster, disaster coefficient of variation and disaster vulnerability of crops in Henan Province of China and using grey BP neural network simulation projections for the rate covered by various natural disaster and the rate affected by various natural disaster, the risk assessment system of agrometeorological disasters in Henan is constructed, which provides a scientific basis for systematic analysis and evaluation of agrometeorological disasters.

Literature on natural risks typically examines either biophysical process characteristics or human pre‐ or post‐disaster activities. This paper takes a somewhat different track; first, it argues that also natural disasters are socially constructed and, therefore, second, it resets the framework in which disaster management has to be placed. While most researchers usually focus on risk assessment it is suggested that the concept of vulnerability can provide a vehicle to explore a contextual approach to the reduction of losses due to natural hazards. In a brief overview the conceptualization of vulnerability is presented. Since precise measurement of uncertainties and exact prediction of damages is hardly feasible, a conceptual approach in vulnerability assessment is proposed. Qualities that determine potential damage are identified and characteristics described. It is suggested that, even without assessing risk exactly, vulnerability reduction decreases damages and losses.

This paper aims to assess climate change-related non-economic loss and damage (NELD) through case studies of Bangladesh and Japan, evaluate how NELD are addressed in these countries and provide the ways forward for further improvement.

This paper reviewed the literature to examine NELD and looked into currently available methodologies and their limitations. It reviewed governmental disaster reports and plans and interviewed with communities to understand NELD in each country’s context.

This paper indicates that NELDs are not sufficiently reported in the countries studied. Underestimation of NELD may lead to limited outcomes in disaster risk reduction (DRR) and climate change adaptation (CCA). NELD should be measured and integrated into decision-making, through capacity-building from local to national level.

This paper is based on the literature review and stakeholder consultations in the study countries. The results are specific to these countries. Readers may find them applicable to other country situations.

NELD-related information is directly relevant for preparing countries to achieve their sustainable development, CCA and DRR objectives as suggested by the recent international frameworks such as sustainable development goals (SDGs), Paris Agreement and Sendai Framework for DRR.

This paper identifies several NELD indicators related to societal well-being in the study countries and beyond, and addressing them will have positive impact on the society.

Addressing NELD is a recent topic under United Nations Framework Convention on Climate Change, and nothing much has been done on how countries can address NELD in their developmental, CCA and DRR approaches. This paper identifies the importance of integrating NELD into decision-making and the ways forward to researchers, governments and policymakers for addressing NELD.

The paper seeks to respond to calls by Jones for more studies exploring the possibility of operationalising accounting for biodiversity.

Archival data are used to produce a natural inventory report for the Sundarbans, the world's largest mangrove forest declared as a World Heritage site by UNESCO in 2007.

The study extends prior research on biodiversity accounting by exploring the applicability of Jones' natural inventory model in the context of Bangladesh. The results indicate that application of Jones' natural inventory model is feasible in the context of developing countries such as Bangladesh. It is also recognised that the socio‐economic and political environment prevailing in developing economies may lead to the emergence of important stakeholder groups including local civil society bodies, international donor agencies and foreign governments. Biodiversity accounting may provide a legitimate basis for the government in allaying concerns regarding environmental stewardship and assist in negotiations with powerful stakeholder groups on important issues such as financial assistance after natural disasters and claims to the global climate change fund.

This is one of the early attempts to operationalise biodiversity accounting in the context of a developing economy.

Climate change is predicted to have a significant effect on the frequency of extreme weather events and the occurrence of natural disasters. There is a need for facilities managers to mitigate against potential disruption and prepare for future events. Current practice, however, as illustrated by the literature shows that little risk assessment is currently undertaken with few organisations preparing integrated disaster management plans or business continuity plans to help them meet the challenge. This paper aims to describe the current climate change predictions and the likely consequences for building assets in the face of extreme weather events.

The paper was based on literature review of current climate change data and published research and guidance for facilities managers in preparing risk assessment and disaster plans.

The research reveals that there exists a divergence between current scientific data relating to potential effects of climate change on the built environment and the level of disaster planning and organisational resilience to extreme weather events.

The paper provides an overview of the recent changes in disaster occurrence and the potential for increasing climate‐related crisis and disasters which have potential to significantly compromise the ongoing use of an organisation's facilities. The paper concludes that facilities managers need to be proactive in their risk assessment and disaster planning.

The paper highlights the potential for increased climate change‐related natural disasters. Property assets are likely to be significantly impacted and as a consequence facilities disaster plans should address the issue of natural disaster preparedness. Current literature reveals a limited level of disaster planning is occurring.

The paper provides an important link between current climate change predictions, the increasing levels of natural disasters resulting from climate change and the potential for significant disruption to business facilities. The paper builds on earlier research highlighting the potential for climate‐related natural disaster.

Key elements of disaster management are prevention, mitigation, preparedness, response and relief, rehabilitation. The various stakeholders in the process of disaster mitigation are policy makers, decision makers, administration, professionals, professional institutions, R&D institutions, financial institutions, insurance sector, community, NGOs and the common man. Insurance has played a very important role. The advanced countries have developed the insurance system and made it effective and mandatory – as a result the loss of lives and property is comparatively less. In India, most of the losses suffered in natural disasters are not insured, for reasons such as lack of purchasing power, lack of interest in insurance, theory of karma attitude and ignorance of availability of such covers. Quite large numbers of agencies provide the insurance cover and foreign insurance companies have already ventured in such areas. This implies that the commercial and private sector can also play an essential role in disaster mitigation. The present study attempts to fill the gap in studies on the role of the insurance sector in disaster management.

The purpose of this paper is to provide an evaluation method for agricultural catastrophic risk.

Data on agricultural disaster loss are collected based on hectares covered by natural disasters, hectares affected by natural disasters, and hectares destroyed by natural disasters using the standard process. Peak over threshold (POT) approach based on the extreme value theory is used to model the distribution of agricultural catastrophic loss, and value at risk (VaR) is used to assess agricultural catastrophic risk.

This paper provides an approach for collecting agricultural loss data and modelling probability distribution of agricultural catastrophic loss, which is promising for agricultural catastrophic risk evaluating. As the quantified measurement of agricultural catastrophic risk, VaR is observed to be appropriate and feasible. Results of empirical research demonstrate that drought catastrophe negatively affects grain‐production in the northeast region of China; in particular, the drought catastrophic risk is severe within a 100‐year scenario and thus is expected to recur.

To provide an accurate agricultural catastrophic risk assessment, data collection based on disaster occurrence instead of crop yield, and VaR is used in this paper.

Households are exposed to a wide array of risks, characterized by a known or unknown probability distribution of events. Disasters are one of these risks at the extreme end. Understanding the nature of these risks is critical to recommending appropriate mitigation measures. A household’s resilience in resisting the negative outcomes of these risky events is indicative of its level of vulnerability. Vulnerability has emerged as the most critical concept in disaster studies, with several attempts at defining, measuring, indexing and modeling it. The paper presents the concept and meanings of risk and vulnerability as they have evolved in different disciplines. Building on these basic concepts, the paper suggests that assets are the key to reducing risk and vulnerability. Households resist and cope with adverse consequences of disasters and other risks through the assets that they can mobilize in face of shocks. Asustainable strategy for disaster reduction must therefore focus on asset‐building. There could be different types of assets, and their selection and application for disaster risk management is necessarily a contextual exercise. The mix of asset‐building strategies could vary from one community to another, depending upon households’ asset profile. The paper addresses the dynamics of assets‐risk interaction, thus focusing on the role of assets in risk management.

Understanding risk is more than just modeling risk; it requires an understanding of the development and social processes that underlie and drive the generation of disaster risk. Here, in addition to a review of more technical factors, this paper aims to discuss a variety of institutional, social and political considerations that must be managed for the results of a risk assessment to influence actions that lead to reductions in natural hazard risk.

The technical approaches and the institutional, social and political considerations covered in this paper are based on a wide range of experiences gleaned from case studies that touch on a variety of activities related to assessing the risks and impacts of natural hazards, and from the activities of the World Bank’s Global Facility for Disaster Reduction and Recovery.

Risk information provides a critical foundation for managing disaster risk across a wide range of sectors. Appropriate communication of robust risk information at the right time can raise awareness and trigger action to reduce risk. Communicating this information in a way that triggers action requires an understanding of the developments and social processes that underlie and drive the generation of risk, as well as of the wider Disaster Risk Management (DRM) decision-making context.

Prior to the initiation of a quantitative risk assessment one should clearly define why an assessment is needed and wanted, the information gaps that currently prevent effective DRM actions and the end-users of the risk information. This requires developing trust through communication among the scientists and engineers performing the risk assessment and the decision-makers, authorities, communities and other intended users of the information developed through the assessment.

This paper summarizes the technical components of a risk assessment as well as the institutional, social and political considerations that should be considered to maximize the probability of successfully reducing the risk defined by a risk assessment.