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The purpose of this paper is to make research on causing mechanism of meteorological disaster as well as the components of meteorological disaster system and their semantic relationships. It has important practical significance due to the urgent need of further providing support for pre-assessment of influences of disastrous weather/climate events and promoting the level of emergency management.

This paper analyses the occurrence regulations and components of meteorological disasters and proposes the concept of meta-action. Ontology modelling method is adopted to describe the components and relationships among different parts comprising meteorological disaster system, and semantic web rule language is selected to identify the implicit relationships among the domain knowledge explicitly defined in ontology model. Besides, a case is studied to elaborate how to provide logic and semantic information support for comprehensive risk assessment of disastrous weather/climate events based on rule-based ontology reasoning method. It proves that ontology modelling and reasoning method is effective in providing decision makings.

This paper provides deep analyses about causing mechanisms of meteorological disasters, and implements information fusion of the components of meteorological disaster system and acquisition of potential semantic relations among ontology components and their individuals.

In this paper, on the basis of analysing the disaster-causing mechanisms, the meteorological disaster ontology (MDO) model is proposed by using the ontology modelling and reasoning method. MDO can be applied to provide decision makings for meteorological departments.

The authors investigate natural disasters’ impact on manufacturing and services foreign direct investment (FDI), both, in contemporaneous and time-lag contexts. Manufacturing and services FDI account for different types of technology transfers, respectively, through tangible physical assets and intangible knowledge assets. This paper aims to hypothesize that natural disasters that have pronounced physical impact, have different effect on different sectoral FDI.

The authors merge a data set from emergency events database, which covers natural disasters occurrences with a sector-level data on FDI for 69 countries for the period 1980-2011, distinguishing between four different kinds of natural disasters such as meteorological, climate, hydrological and geophysical, as well as between different geographical regions.

Controlling for commonly accepted determinants of FDI, such as output growth, quality of institutions and natural resource abundance, the authors find that manufacturing FDI is negatively affected immediately after the disaster and positively in the longer run- a finding that is in unison with the “creative destruction” growth theory. Services FDI, on the other hand, do not show such pattern. Meteorological disasters have no effect on services FDI and climate and hydrological disasters have long-lasting negative effects. For both, manufacturing and services FDI, geophysical disasters have a positive impact on FDI in the long run.

The study is limited to 69 countries for the period 1980-2011.

FDI bears tangible and intangible knowledge assets and provides means of financing, even in countries with under-developed banking systems and stock markets. FDI is impacted by climate change, manifested by intensifying and increase of frequency of natural disasters.

Natural disasters destroy infrastructure and displace people. The rebuilding of infrastructure and intangible capital present an opportunity for upgrading.

This is the first study that analyzes the impact of natural disasters on sector-level FDI in a multicounty and regional context.

The purpose of this paper is to examine the short-run monetary policy response to five different types of natural disasters (geophysical, meteorological, hydrological, climatological and biological) with respect to developed and developing countries, respectively.

An augmented Taylor rule monetary policy model is estimated using systems generalized method of moments panel estimation over the period 2000–2018 for a panel of 40 developed and 77 developing countries, respectively.

In the case of developed countries, the greatest nominal interest rate response originates from geophysical, meteorological, hydrological and climatological disasters, whereas for developing countries the nominal interest rate response is the greatest for geophysical and meteorological disasters. For both developed and developing countries, the results suggest the monetary authorities will pursue expansionary monetary policies in the short-run to lower nominal interest rates; however, the magnitude of the monetary response varies across the type of natural disaster.

First, unlike previous studies, which focused on a specific type of natural disaster, this study examines whether the short-run monetary policy response differs across the type of natural disaster. Second, in relation to previous studies, the analysis encompasses a much larger panel data set to include 117 countries differentiated between developed and developing countries.

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.

This study aims to prove that land-use change plays a role in the occurrence of hydro-meteorological disasters in Central Java, especially in relation to its upstream and downstream.

The paper presents empirical findings from quantitative research using a spatial analysis and descriptive analysis.

The upstream and downstream area of Central Java is categorized as a rapid development area that results in changes in land use and land cover. The findings showed that there was an increasing number of hydrometeorological disasters such as floods and landslides as the impact of land-use change and rainfall conditions.

Analysis of the relationship between rainfall and disaster events with more technical and specific analysis could be done in the further research.

In this study, more analysis in the context of river basin systems including upstream and downstream in different periods to examine the linkage between them have been considered and incorporated.

The current pandemic and ongoing climate risks highlight the limited capacity of various systems, including health and social ones, to respond to population-scale and long-term threats. Practices to reduce the impacts on the health and well-being of populations must evolve from a reactive mode to preventive, proactive and concerted actions beginning at individual and community levels. Experiences and lessons learned from the pandemic will help to better prevent and reduce the psychosocial impacts of floods, or other hydroclimatic risks, in a climate change context.

The present paper first describes the complexity and the challenges associated with climate change and systemic risks. It also presents some systemic frameworks of mental health determinants, and provides an overview of the different types of psychosocial impacts of disasters. Through various Quebec case studies and using lessons learned from past and recent flood-related events, recommendations are made on how to better integrate individual and community factors in disaster response.

Results highlight the fact that people who have been affected by the events are significantly more likely to have mental health problems than those not exposed to flooding. They further demonstrate the adverse and long-term effects of floods on psychological health, notably stemming from indirect stressors at the community and institutional levels. Different strategies are proposed from individual-centered to systemic approaches, in putting forward the advantages from intersectoral and multirisk researches and interventions.

The establishment of an intersectoral flood network, namely the InterSectoral Flood Network of Québec (RIISQ), is presented as an interesting avenue to foster interdisciplinary collaboration and a systemic view of flood risks. Intersectoral work is proving to be a major issue in the management of systemic risks, and should concern communities, health and mental health professionals, and the various levels of governance. As climate change is called upon to lead to more and more systemic risks, close collaboration between all the areas concerned with the management of the factors of vulnerability and exposure of populations will be necessary to respond effectively to damages and impacts (direct and indirect) linked to new meteorological and compound hazards. This means as well to better integrate the communication managers into the risk management team.

Business continuity and disaster recovery are directly associated frameworks which guarantee the continued operations of organisations after a disaster has occurred. Thus, researchers have continued to investigate best practices in this area. It is in this vein that the authors of this study seek to draw attention to what pertains in Ghana and what role the government can play to improve the situation. The purpose of this study is to explore some of the disasters which have been suffered by businesses in Ghana as well as the causes, effects and lessons learnt. The study will also look at business continuity and disaster recovery measures that could have been implemented in the examples provided.

The study follows a literature review approach by reviewing secondary data on both man-made and natural disasters that have affected Ghana in the past decade through the review of literature.

The comprehensive study of the selected disasters indicated the presence of business continuity and disaster recovery measures in some formal institutions; however, the informal sector appeared to have minimal provision for handling disasters.

The authors were limited to the use of the account from the resources used since this study relied on secondary data.

The study indicates that businesses in Ghana must implement business continuity and disaster recovery plans to protect business operations in the event of a disaster.

The study has not been previously published in any other journal. Secondary data for carrying out the study were obtained from other publications including online media platforms in Ghana.

With the recognition of the necessity for effectively and successfully managing natural disaster projects for saving human lives and preventing and minimizing the impacts of disasters on socio‐economic developmental progress, this paper seeks to propose a balanced scorecard (BSC) approach in order to maximize the possibilities of desired outcomes from projects.

The BSC approach, which has been widely accepted and used in business organizations, can be adapted for natural disaster management projects. An application of this BSC approach to disaster management projects is discussed with a real flood disaster management project.

In the BSC approach, performance measures should be established in four areas: donors' perspective; the target beneficiaries' perspective; the internal process perspective; and the learning and innovation perspectives. Measures for four areas in each of the five generic phases of managing natural disasters (i.e. preparedness, early warning, emergency relief, rehabilitation and recovery) allow project managers to identify problem areas and areas for further improvements. Ensuring success in one phase will lead to success in the subsequent phase because success in one phase will be the input for the following phase.

In general, this study demonstrates an application of the balanced scorecard approach to natural disaster management projects and, in particular, to a real flood disaster management in Hat Yai Municipality, Southern Thailand. Future research might focus on other types of natural disaster.

Using the balanced scorecard, project managers can understand problem areas as well as areas for improvement in current projects, which would enhance their abilities to take corrective actions that ensure and maximize the possibilities of successful outcomes from implemented projects.

This paper proposes the BSC approach for successfully managing natural disaster projects. This management approach can be applied to various natural disaster management projects.