Evaluation of a Low-Cost Air Renewal System for Indoor Air Quality Control in a Climate Chamber

There is a growing concern about Indoor Environmental Quality (IEQ) in buildings as humans are spending longer in indoor environments, whether this is associated or not with climate change and vulnerability to extreme weather events. In the wake of the COVID pandemic, the need for indoor air quality control is likely to increase, the result of many adaptations in home environments to switch to remote work. In hot countries in the Global South, one of the alternatives is split A/C units with limited air renewal. While, odorless and colorless CO2, commonly generated by occupants through respiration, is among the relevant indoor air pollutants. The purpose of this study is to evaluate a low-cost, responsive air-renewal system in a climate chamber equipped with a standard split A/C unit. The results show the system's feasibility in curbing IAQ concerns and also highlight the risk of negative impacts on indoor thermal conditions and on energy consumption on using A/C. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Bioprotection of Transportation and Facilities from SARS-CoV-2 (COVID-19).

The recent COVID-19 pandemic has led to a nearly world-wide shelter-in-place strategy. This raises several natural concerns about the safe relaxing of current restrictions. This article focuses on the design and operation of heating ventilation and air conditioning (HVAC) systems in the context of transportation. Do HVAC systems have a role in limiting viral spread? During shelter-in-place, can the HVAC system in a dwelling or a vehicle help limit spread of the virus? After the shelter-in-place strategy ends, can typical workplace and transportation HVAC systems limit spread of the virus? This article directly addresses these and other questions. In addition, it also summarizes simplifying assumptions needed to make meaningful predictions. This article derives new results using transform methods first given in Ginsberg and Bui. These new results describe viral spread through an HVAC system and estimate the aggregate dose of virus inhaled by an uninfected building or vehicle occupant when an infected occupant is present within the same building or vehicle. Central to these results is the derivation of a quantity called the "protection factor"-a term-of-art borrowed from the design of gas masks. Older results that rely on numerical approximations to these differential equations have long been lab validated. This article gives the exact solutions in fixed infrastructure for the first time. These solutions, therefore, retain the same lab validation of the older methods of approximation. Further, these exact solutions yield valuable insights into HVAC systems used in transportation.

The three A's of social capital in crises: Challenges with the availability, accessibility and activatability of social support

Social capital has become a major factor for analysing vulnerabilities and resilience in the context of disaster studies in recent years. Usually, it is studied along its three forms of bonding, bridging, and linking social capital, and it is often framed as a static characteristic that a person either has at his or her disposal or not. Based on the results of case studies conducted in Germany and Estonia focusing on four different crises (floods in Germany;long-term disruption of electricity due to a major storm in Estonia;a cyber-attack in Estonia;as well as the COVID-19 pandemic in both countries) we claim that this description and analysis of social capital does not allow for a comprehensive understanding of all the challenges disaster management has to deal with to decrease vulnerabilities and increase resilience. Using qualitative content analysis, we present a heuristic framework which not only asks whether bonding, bridging, and linking social capital is available to individuals, but also whether social capital is accessible and activatable when responding to or recovering from a disaster. In doing so, the paper helps to improve the overall usability of official or unofficial social support to cope with crises.

Minors Can Have Major Effects: Household Hurricane Preparation Insights from Alabama

While debate about large-scale climate change policy continues, household protective responses to climate-related risk are an increasingly important, potentially less contentious, tool to mitigate some climate impacts. Household actions to prepare for disasters like hurricanes are likely important for personal protection in geographically and socially vulnerable regions with less political appetite for government intervention. To understand social vulnerability in household-level hurricane preparation in this context, residents (n = 915) from the United States Gulf Coast state of Alabama were surveyed about their extreme event experiences, attitudes, and behaviors following the record-breaking 2020 hurricane season. On average, two-thirds of respondents took at least one hurricane preparedness action. Lower levels of preparedness were found for women, and higher levels for households with children, as well as changes in event-related climate change concern, personal harm, and disruption from COVID-19. Race/ethnicity, educational attainment, nor income was related to preparedness. © 2023 Taylor & Francis Group, LLC.

A Framework for Resilient City Governance in Response to Sudden Weather Disasters: A Perspective Based on Accident Causation Theories

With climate change, urban resilience is becoming a critical concept for helping cities withstand disasters and accidents. However, current research often focuses on concept identification, leaving a gap between concept and implementation. This study aims to investigate the lack of urban resilience in the face of sudden weather disasters, with a focus on the inadequate capacity of urban systems to effectively govern such events. The Zhengzhou subway flooding accident on 20 July 2021, serves as a case study for this research, and the accident causation theories, such as the Swiss cheese model, Surry's accident model, and trajectory intersection theory are used to conduct a comprehensive analysis of the accident's causes. Through this analysis, the paper identifies vulnerabilities in the natural, technical, and man-made systems of the urban system, and reveals deficiencies in four aspects of urban resilience: natural, technological, institutional, and organizational. Based on this analysis, the study proposes a resilient city governance framework that integrates the "Natural-Technical-Man-made” systems, offers relevant recommendations for urban resilience governance, and discusses potential challenges to urban resilience implementation.

Deployment and training for end-users of a decision support system for water resources planning and operations for Greater Sydney

Management, operations, and planning in water resources management are required to respond to a multitude of challenging problems that may arise due to rapid change in climate conditions, extreme weather events, frequent and unforeseen incidents or on the other hand, long-term structured management decisions. This paper reports on deployment of a decision support system (DSS) for Greater Sydney supply systems known as the CARM Greater Sydney Project. Development and deployment of the DSS tool currently being undertaken by WaterNSW is based on integrated hydrological-hydrodynamic water quality models. The system architecture of the tool is underpinned by a set of baseline catchment models developed using eWater's Source modelling suite. Catchment modelling outputs are then fed into reservoir models as input which are housed in the AEM3D (a 3-Dimensional coupled Hydrodynamic- Aquatic Ecosystem Model) platform;providing a set of base cases to represent the fundamental catchment/lake conditions. Mike Workbench - an application developed by DHI is used as the DSS tool. Building on the baseline model, users can generate multiple scenarios with varying complexity by manipulating different parameters of the tool specific to a problem at a scale and level of complexity suited to the problem and needs of decision makers via Mike Workbench. Users can also compare the outcomes between different scenarios, facilitating the decision making for increasingly complex water resources management issues. An integral part of the project is to roll out a suit of comprehensive training on using this tool to different groups of users/stakeholders tailored by their needs and interest. The training and deployment of the new system were started during COVID shutdowns. The paper will provide an overview of the new system and how training was developed as part of the project and embedded through the deployment of the new DSS tool in a fully on-line mode. The lessons learned include providing training specific to user needs, time for practice and one on one support, but also cover planning and integration of the training throughout the project development and deployment. © Hydrology and Water Resources Symposium, HWRS 2022. All rights reserved.

Energy assistance programs in Ibero-America and their adaptation to the COVID-19 pandemic

Ibero-America, a region with high levels of pre-existing poverty, has been considerably affected by the pandemic. Several regulatory measures have been implemented to provide additional financial assistance to the population. Due to the significant fiscal expenditure involved in universal subsidies, several countries have decided to target resources to the most vulnerable sectors. However, the literature focused on these targeted subsidies and beneficiary selection mechanisms is scarce. This article presents a descriptive review of the targeted subsidies implemented in eight Ibero-American countries during the COVID-19 pandemic, the targeting mechanisms, and the modifications made to pre-existing subsidies to adapt them to the health crisis. The research was conducted with the support of regulators from the countries studied and demonstrates that the Ibero-American regulatory response is in line with measures implemented internationally. By showing a catalog of regulatory measures implemented during the COVID-19 pandemic, this article is relevant for policymakers to face future health crises and any scenario that forces the population to be confined in their homes, including extreme weather events. © 2023 The Author(s)

Cascading disasters and mental health inequities: Winter Storm Uri, COVID-19 and post-traumatic stress in Texas.

Previous research on health effects of extreme weather has emphasized heat events even though cold-attributable mortality exceeds heat-attributable mortality worldwide. Little is known about the mental health effects of cold weather events, which often cascade to produce secondary impacts like power outages, leaving a knowledge gap in context of a changing climate. We address that gap by taking a novel "cascading disaster health inequities" approach to examine winter storm-associated post-traumatic stress (PTS) using survey data (n = 790) collected in eight Texas metro areas following Winter Storm Uri in 2021, which occurred against the backdrop of COVID-19. The incidence of storm-related PTS was 18%. Being Black (odds ratio [OR]: 6.6), Hispanic (OR: 3.5), or of another non-White race (OR: 4.2) was associated with greater odds of PTS compared to being White, which indicates substantial racial/ethnic inequities in mental health impacts (all p < 0.05). Having a disability also increased odds of PTS (OR: 4.4) (p < 0.05). Having piped water outages (OR: 1.9) and being highly impacted by COVID-19 (OR: 3.3) increased odds of PTS (both p < 0.05). When modelling how COVID-19 and outages cascaded, we compared householders to those with no outages and low COVID-19 impacts. PTS was more likely (p < 0.05) if householders had a water or power outage and high COVID-19 impacts (OR: 4.4) and if they had water and power outages and high COVID-19 impacts (OR: 7.7). Findings provide novel evidence of racial/ethnic inequities and cascading effects with regard to extreme cold events amid the COVID-19 pandemic.

Analysis and enhancement of Barcelona’s power grid resilience

Climate change is causing an increase in extreme weather events that can stress the electric grid as it was not originally designed to withstand them, and at the same time, new unexpected threats emerge such as cyberattacks making the grid more vulnerable. On top of that, situations such as the new pandemic of Covid-19 pose the grid under new scenarios of large load reduction where renewable energies gain importance and traditional sources are strongly curtailed. On this basis, the resilience of the electrical grid turns into a key feature to be analysed and strongly enhanced. Thus, the power grid is being analysed by researchers in recent years to assess such hazards along with what measures or resources are effective against them, such as distributed energy resources based on renewable energies. Based on these studies, this paper aims to explore which power grid resilience KPIs fit more to describe the scenarios of the disruptive events for the consequent discussion of the installation of renewable sources to prioritize investments in order to minimize impacts. Furthermore, a geographic information system based model is developed to analyse a static study case of flooding in the city of Barcelona. Results show that the city’s power grid is vulnerable to the scenario, but it has the potential of renewable energies to mitigate its consequences.

The Annual Global Incidence Rate of Extreme Weather Event Disasters Appears Positively Correlated with World GDP, 1961-2020.

OBJECTIVE: This study compared the per capita annual global incidence rate of disasters caused by natural hazards with the annual world real gross domestic product, GDP (per global capita), as reported during 1961 through 2020. METHODS: Sixty (60) values for the world real GDP per global capita (in constant 2015 $USD) were compared to corresponding annual values for global incidence rates for five natural disaster subgroups and then for a total of twelve individual disaster types that comprise the subgroups; each expressed as an annual global incidence rate (in terms of annual incidence per 100,000 persons). Calculations of multiple linear regression, ANOVA, and Pearson's correlation coefficient were performed for comparing population-adjusted values for GDP to corresponding values. RESULTS: Four out of five hydrological and meteorological disasters were found to have a positive correlation with GDP. Results of the analysis revealed a relatively high degree of correlation between world GDP and the annual incidence of flood and storm disasters (P = 6.21 × 10-10 and P = 4.23 × 10-4, respectively). The annual incidence of heat waves and cold weather disasters also appeared to correlate with GDP (P = .002 and P = .019, respectively). In comparison, wet landslides indicated no such correlation (P = .862). No significant associations were found among the seven other individual biological, climatological, and geophysical disasters and GDP. CONCLUSION: The global incidence of four extreme weather (hydrometeorological) disasters appear to be positively associated with world real GDP during 1961-2020. These findings contradict previous postulates that the risk of disaster incidence is inversely associated with the capacity of the population.

The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events

Most parts of the world have suffered the negative impacts from extreme weather events, in whatever form they may take. To mitigate such impacts, attention in the operations management literature has focused on how firms build resilience in their supply chains, in order to quickly respond to such events and also to return, as soon as possible, to a business-as-usual state. Prior studies have examined the process of building a supply chain (SC) in different countries, industries and in response to various disruptions, such as the COVID-19 pandemic, whilst, at the same time, calling for further research in different contexts. We respond to these calls by exploring SC resilience ability in the South African mining industry under extreme weather events. We situated our study in the dynamic capability view (DCV) view of the firm. We examined the direct effect of big data and predictive analytics (BDPA) capabilities on SC visibility and the final effects on community and resource resilience. We adopted a sequential mixed methods research design, collecting data from interviews with 10 industry practitioners and from 219 respondents to an online survey. We built and tested our theoretical model using partial least squares structured equation modelling (PLS-SEM). Notable theoretical contributions of our study are that big data enables a more efficient supply chain monitoring system, which, in turn, improves SC visibility. BDPA capability improves a company's ability to make the best use of its available resources. It improves the South African mining industry's dynamic capability, allowing them to adjust their strategies in response to diverse adverse weather conditions. Furthermore, BDPA capability's ability to improve SC visibility is enhanced when there is strong alignment between BDPA strategy and initiatives. Finally, having a high level of SC visibility helps develop community and resource resilience, which are necessary to ensure that firms in the industry fulfil their responsibilities in relation to social sustainability.

2021 Climate and Health Review - Uncharted Territory: Extreme Weather Events and Morbidity.

Extreme weather events (EWEs) affected health in every world region during 2021, placing the planet in "uncharted territory." Portraying the human impacts of EWEs is part of a health frame that suggests public knowledge of these risks will spur support for needed policy change. The health frame has gained traction since the Paris COP21 (United Nations Climate Change Conference) and arguably helped to achieve modest progress at the Glasgow COP26. However, reporting rarely covers the full picture of health impacts from EWEs, instead focusing on cost of damages, mortality, and displacement. This review summarizes data for 30 major EWEs of 2021 and, based on the epidemiological literature, discusses morbidity-related exposures for four hazards that marked the year: wildfire smoke; extreme cold and power outages; extreme, precipitation-related flooding; and drought. A very large likely burden of morbidity was found, with particularly widespread exposure to risk of respiratory outcomes (including interactions with COVID-19) and mental illnesses. There is need for a well-disseminated global annual report on EWE morbidity, including affected population estimates and evolving science. In this way, the public health frame may be harnessed to bolster evidence for the broader and promising frame of "urgency and agency" for climate change action.

A study on the impact of extreme weather events on the ceramic manufacturing in Egypt

Nowadays, global economic production is organized around a complex system of highly interdependent supply chains that are currently enormously disrupted due to COVID 19. What would happen if a fast-growing risk could pose a more significant threat to our supply chains? Are our supply chains resilient to climate change? Even though governments, businesses, and climate change organizations in developed countries are forced to work together trying to mitigate and adapt to this fast-moving phenomenon, developing countries like Egypt are less concerned about this topic. This study has developed a system dynamic model based on a four-phase mixed methodology approach;we captured the complex interconnected interactions between supply chain performance and climate change physical risks. A cognitive map was first developed to capture the relationship between the climate change physical risks variables and the supply chains. Then, historical climate data and data from a ceramic manufacturing company were analyzed using the Statistical Package for the Social Sciences (SPSS). A case study of a ceramic manufacturing company located in Egypt is provided to show the applicability of our developed system dynamic model. Lastly, we simulated different scenarios to assess the ramifications and consequences of climate change extreme weather-related events on the manufacturing process of the selected case company. We have observed a negative impact;a decrease in the manufacturing inventory level and production rate, total received orders and sales. As far as our knowledge, our study is the first to investigate the impacts of climate change extreme weather events on supply chains located in Egypt. Our main contribution is to prove and establish awareness among business owners, organizations, decision-makers and the Egyptian government that climate change and related extreme weather events exist and disruptions due to this fast-moving phenomenon must be considered.

Climate change and epilepsy: Insights from clinical and basic science studies.

Climate change is with us. As professionals who place value on evidence-based practice, climate change is something we cannot ignore. The current pandemic of the novel coronavirus, SARS-CoV-2, has demonstrated how global crises can arise suddenly and have a significant impact on public health. Global warming, a chronic process punctuated by acute episodes of extreme weather events, is an insidious global health crisis needing at least as much attention. Many neurological diseases are complex chronic conditions influenced at many levels by changes in the environment. This review aimed to collate and evaluate reports from clinical and basic science about the relationship between climate change and epilepsy. The keywords climate change, seasonal variation, temperature, humidity, thermoregulation, biorhythm, gene, circadian rhythm, heat, and weather were used to search the published evidence. A number of climatic variables are associated with increased seizure frequency in people with epilepsy. Climate change-induced increase in seizure precipitants such as fevers, stress, and sleep deprivation (e.g. as a result of more frequent extreme weather events) or vector-borne infections may trigger or exacerbate seizures, lead to deterioration of seizure control, and affect neurological, cerebrovascular, or cardiovascular comorbidities and risk of sudden unexpected death in epilepsy. Risks are likely to be modified by many factors, ranging from individual genetic variation and temperature-dependent channel function, to housing quality and global supply chains. According to the results of the limited number of experimental studies with animal models of seizures or epilepsy, different seizure types appear to have distinct susceptibility to seasonal influences. Increased body temperature, whether in the context of fever or not, has a critical role in seizure threshold and seizure-related brain damage. Links between climate change and epilepsy are likely to be multifactorial, complex, and often indirect, which makes predictions difficult. We need more data on possible climate-driven altered risks for seizures, epilepsy, and epileptogenesis, to identify underlying mechanisms at systems, cellular, and molecular levels for better understanding of the impact of climate change on epilepsy. Further focussed data would help us to develop evidence for mitigation methods to do more to protect people with epilepsy from the effects of climate change.