Hazard Exposure Research Articles

SEATANI: hazards from seamounts in Southeast Asia, Taiwan, and Andaman and Nicobar Islands (eastern India)

Abstract. Submarine volcanism makes up approximately 85 % of volcanism that occurs on Earth, and its eruptions have the potential to cause several hazards including ash dispersal, pumice rafts, pyroclastic density currents, sector collapses, and tsunamis. Recent examples include the eruptions in Japan and in the Kingdom of Tonga in 2021 and 2022 respectively, but there has been little to no study of submarine volcanism in Southeast Asia and surroundings. Here we provide a compilation of 466 seamounts from the region, from different published sources, through the SEATANI dataset (Southeast Asia, Taiwan, and the Andaman and Nicobar Islands). We use this newly compiled dataset to assess on a regional level the seamount hazard potential and exposure potential as a springboard for future more quantitative hazard studies of the region. The hazard potential was assessed through seamount morphological and structural analyses, to determine the seamount evolution stage and grade of maturity. The exposure potential was evaluated with two different approaches: an areal analysis of the number of assets within a 100 km radius of each seamount and the development of a hazard-weighted seamount density map to highlight potential areas of interest for future more-in-depth studies. Our results show that there are several potentially hazardous seamounts in this region. Taiwan has the highest hazard and exposure potential, for all assets considered, while the Philippines, Indonesia, and Vietnam have relatively high exposure potential for submarine communication cables and ship traffic density. The results from this work serve as a first step towards Southeast Asia and neighbouring countries becoming more resilient against and prepared for submarine volcanic eruptions in the region.

An Assessment of Geological Hazard Management using Dynamically Stabilized Recurrent Neural Network and Beluga Whale Optimization Algorithm

Mountainous region geological hazards are a leading cause of natural disasters, resulting in significant human and economic losses. Regional topography, landforms, lithology, plant life, geological circumstances, and meteorology all have a significant impact on their creation. Gansu, situated in the interior of Northwestern China, features Lanzhou as its capital and primary urban center, positioned in the southeast of the province. Geological risks, particularly landslides, mudslides, and avalanches, present significant challenges to Gansu Province. Consequently, local authorities are actively devising customized strategies to mitigate these hazards and foster sustainable development. In this research work, an Assessment of Geological Hazard Management using Dynamically Stabilized Recurrent Neural Network and Beluga Whale Optimization Algorithm (AGL-HM-DSRNN-BWOA) is proposed. Initially, the input raster data are gathered from the Normalised Difference Vegetation Index (NDVI) dataset. The input raster data is then pre-processed using Adaptive Actor-Critic Bilateral Filter (A2CBF) to reduce noises and increase the overall quality of the raster data. To classify the geological hazards, the pre-processed raster data are fed into a neural network named DSRNN. The geological hazard is accurately categorized as low risk, medium-low risk, medium-high risk, high risk using proposed DSRNN. In general, DSRNN does not express some adaption of optimization strategies for determining optimal parameters to promise exact classification for managing geological hazard by assessment. Therefore, Beluga Whale Optimization Algorithm (BWOA) is proposed to enhance weight parameter of DSRNN classifier, which precisely assess for managing the geological hazards. The efficiency of the proposed AGL-HM-DSRNN-BWOA approach is evaluated using a number of performance criteria, including accuracy, sensitivity, specificity, ROC, mean square error, root mean square error, mean absolute error. The proposed AGL-HM-DSRNN-BWOA method attains 22.36%, 25.42% and 18.17% higher accuracy, 21.26%, 15.42% and 19.27% higher sensitivity, 28.36%, 25.32% and 28.27% higher F-measure compared with existing methods, such as the Risk assessment and its influencing factors examination of geological hazards in typical mountain environment (RA-IFA-GH-TME), Feasibility study of land cover categorization under normalized difference vegetation index for landslide risk assessment(LCC-NDVI-LRA), and Multiple hazard exposure mapping under machine learning for Salzburg, Austria (MH-EM-SSA-ML) respectively.

IJCM_359A: Pattern of Congenital Anomalies among newborn babies - A Hospital based study

Background: Congenital anomalies can be defined as structural or functional anomalies that occur during intrauterine life and can be identified prenatally. Some of the congenital anomalies may be life threatening, hence an immediate management is required. This study is to determine the pattern of congenital anomalies among newborn babies and factors associated with it. Methodology: It was a descriptive study carried out at KMC Hospital, Attavar on all the new born babies with congenital abnormalities born or admitted in KMC Attavar. Data extraction sheet had two sections including the maternal details, history of newborn related to type of congenital anomalies and condition of the baby at birth. Data was entered and analyzed by using statistical software Statistical Package for Social Sciences (SPSS) Version 11.5. Descriptive statistics like mean, proportions and standard deviation was used for expressing the results. Results: We found that 56.25% of the cases were of maternal age group <30years. 3.16% were non-consanguinous marriages, 56.46% of mothers were primiparous & 43.53% were multiparous. Only 18.40% had maternal co morbidities & 5.84% had hazardous exposure. 67% of the study population were males and 33% were females. In cases where single system was involved, 66.85% were males and 33.15% were females. In cases with multiple malformations, 67.56% were males and 32.43% were females. In the cases where maternal age was <30yrs, 22.85% of anomalies were in the cardiovascular system, and in ≥30yr, 29.63% were multiple malformations. Conclusion: Among the congenital anomalies affecting the newborns, the most affected single system is gastrointestinal tract followed by cardiovascular system and musculoskeletal system. Multiple malformations were found to be the highest. Congenital anomalies were found to be more in males than females. In maternal age group of less than 30yrs, highest number of anomalies were in the cardiovascular system and for more than/equal 30yrs, highest number was multiple malformations.

Relationship Between Occupational Noise Exposure and Gestational Hypertension in Pregnant Women in Taizhou City: Cross-Sectional Study.

In view of the hazards of occupational noise exposure, this study investigated the relationship between occupational noise exposure and gestational hypertension in Taizhou City, Zhejiang Province, China to provide inspiration and reference for reducing the occurrence of gestational hypertension. This cross-sectional study analyzed the clinical data of 316 pregnant women in Taizhou City admitted to Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University from May 2020 to May 2023. In accordance with Acoustic Environment Quality Standards (GB3096-2008), 60 dB was used as the cut-off point. These pregnant women were divided into the low noise group (LNG, n = 161) and high noise group (HNG, n = 155) according to the noise exposure level in the working environment. This also study compared the noise exposure, blood pressure (BP), fasting blood glucose (FBG), blood lipid (BL), fetal size, and heart rate (HR), and analyzed the relationship of noise exposure with BP, FBG, BL, fetal size, HR, and occurrence of gestational hypertension. The HNG had higher noise exposure level (P < 0.001), BP, FBG, BL and HR (P < 0.001), larger fetal size (P < 0.001) and higher occurrence of gestational hypertension (P < 0.05) compared with the LNG. Correlation analysis showed that noise exposure level was positively correlated with BP, FBG, BL, HR, and fetal size (P < 0.001) and had the strongest association with gestational hypertension. Occupational noise exposure has adverse effects on pregnant women and fetuses. Pregnant women should pay attention to their exposure to occupational noise to prevent gestational hypertension. The results of this study must be further verified and generalized.

IJCM_313A: Assessment of the health-related quality of life among ex-mine workers of Kolar gold fields, Kolar, Karnataka

Background: Karnataka ranks third with regards the number of mines in India and Kolar, at one time, had the world’s deepest and most productive gold mines. Miners are exposed to hazardous agents like silica, coal and asbestos which adversely impact health. Objectives: To assess the health-related quality of life (HRQL) of ex-mine workers at Kolar Gold Fields (KGF), Kolar, Karnataka. Methodology: An analytical cross-sectional study was conducted among 240 (estimated 196 with 50% prevalence) male ex-mine workers of KGF. An interview scheduled, consisting of socio-demographic factors, COPD Assessment Test (CAT) and Kings Brief Interstitial Lung Disease (KBILD) was administered. Lower CAT score and higher KBILD score indicate better HRQOL. Results: The mean age of the participants was 69.71±8.56 years. Participants were previously involved in drilling (113-47%) and blasting (127-53%) activities in the mines, with a mean of 14.68±6.46 years of work exposure. The mean scores for CAT and KBILD were 15.80±7.42 and 52.83±8.77 respectively. Based on CAT scores, half (51%) of participants reported medium impact of COPD on their health. Participants with longer duration of work experience had significantly higher CAT scores [OR-36.64 (12.14-110.6)]. KBILD score was significantly higher among those who worked in blasting (M=113. SD=52.14) than those involved in drilling (M=127, SD=53.43). Lower duration of work was significantly associated with higher KBILD scores (p&lt;0.01). Adjusted logistic regression showed higher education and income had a positive impact on HRQL and an increase in age and longer work experience adversely affected HRQL. Conclusion: This study reveals the hazardous impact of drilling and blasting work on the health-related quality of life of ex-mine workers. Understanding this, for the future, it is important to educate workers, improve financial stability and minimize hazard exposure to enhance the quality of life of miners amidst the challenges of mining operations.

Associations of polycyclic aromatic hydrocarbons mixtures with cardiovascular diseases mortality and all-cause mortality and the mediation role of phenotypic ageing: A time-to-event analysis

The associations of polycyclic aromatic hydrocarbons (PAHs) with cardiovascular diseases (CVDs) and all-cause mortality are unclear, especially the joint effects of PAHs exposure. Meanwhile, no studies have examined the effect of phenotypic ageing on the relationship between PAHs and mortality. Therefore, this study aimed to investigate the independent and joint associations between PAHs and CVDs, all-cause mortality, and assess whether phenotypic age acceleration (PhenoAgeAccel) mediate this relationship. We retrospectively collected data of 11,983 adults from the National Health and Nutrition Examination Survey database. Firstly, Cox proportional hazards regression and restricted cubic splines were applied to evaluate the independent association of single PAH on mortality. Further, time-dependent Probit extension of Bayesian Kernel Machine Regression and quantile-based g-computation models were conducted to test the joint effect of PAHs on mortality. Then, difference method was used to calculate the mediation proportion of PhenoAgeAccel in the association between PAHs and mortality. Our results revealed that joint exposure to PAHs showed positive association with CVDs and all-cause mortality. By controlling potential confounders, 1-Hydroxynapthalene (1-NAP) (HR = 1.24, P = 0.035) and 2-Hydroxyfluorene (2-FLU) (HR = 1.25, P < 0.001) showed positive association with CVDs mortality, and they were the top 2 predictors (weight: 0.82 for 1-NAP, 0.14 for 2-FLU) of CVDs mortality. 1-NAP (HR = 1.15, P < 0.001) and 2-FLU (HR = 1.13, P < 0.001) also showed positive association with all-cause mortality, and they were also the top 2 predictors of all-cause mortality (weight: 0.66 for 1-NAP, 0.34 for 2-FLU). PhenoAgeAccel mediated the relationship between 1-NAP, 2-FLU and CVDs, all-cause mortality, with a mediation proportion of 10.00 % to 24.90 % (P < 0.05). Specifically, the components of PhenoAgeAccel including C-reactive protein, lymphocyte percent, white blood cell count, red cell distribution width, and mean cell volume were the main contributors of mediation effects. Our study highlights the hazards of joint exposure of PAHs and the importance of phenotypic ageing on the relationship between PAHs and mortality.

Under-reported and under-served: Disparities in US disaster federal aid-to-damage ratios after hurricanes

The level of outlays that individuals and communities receive following disasters influences the rapidity by and the degree to which they recover. While there is no prescribed formula for the level of aggregate federal aid a county receives, one might expect it to be proportional to the damage sustained. In actuality, the fraction of damages that are covered by disaster aid (which we call “federal disaster coverage”) is highly variable. In this work, we investigate the county-level correlates of federal disaster coverage using hurricanes that received Presidential Disaster Declarations from 2008 to 2017 by asking (1) What county and hazard characteristics are important predictors of counties that receive aid but that do not incur damage? and (2) Where damage is reported, what county and hazard characteristics influence federal disaster coverage? We find that counties that receive aid but have no reported damage are more likely to experience greater storm intensity and have more hazard exposure than observations that do not receive aid, suggesting that these counties’ damages are unreported. Concerningly, these counties also exhibit greater social vulnerability. Among counties that report damage, we find that federal disaster coverage decreases as hazard intensity and per capita damage increase, suggesting that more severe disasters receive less marginal aid than less severe disasters. Higher local capacity increases the likelihood of aid and the level of coverage. Overall, our findings suggest disparities in how disaster damages are reported in major comprehensive disaster datasets and in how federal aid is disbursed among counties.

Single and mixed effects of multiple volatile organic compounds exposure on hematological parameters in the U.S. adult population

BackgroundMost research exploring the correlation between volatile organic compounds (VOCs) and hematological parameters have focused on single VOCs. Our study aimed to explore the single and combined effects of VOCs on hematological parameters through three statistical models. MethodsData from 4 cycles of the National Health and Nutrition Examination Survey (NHANES) were used in this study. The correlations between single exposure to 16 VOCs and hematological parameters in the general population were assessed by weighted multiple linear regression. Weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models were used to explore the relationship between the combined important VOCs selected by the least absolute shrinkage and selection operator (LASSO) and hematological parameters, as well as the effects of smoking status on them. ResultsA total of 4089 adults were included in the study. We found that a variety of VOCs were significantly associated with hematological parameters. Among them, N-acetyl-S-(benzyl)-l-cysteine (BMA) was significantly negatively correlated with white blood cell (WBC), red blood cell (RBC), lymphocyte, and neutrophil counts. N-acetyl-S-(3-hydroxypropyl-1-methyl)-l-cysteine (HPMMA) was significantly positively correlated with WBC, monocyte, lymphocyte, and neutrophil counts. In the WQS analysis, the WQS index of the VOCs mixtures was positively correlated with WBC (β: 0.031; P < 0.001), monocyte (0.023; P = 0.021), and neutrophil (0.040; P = 0.001) counts, while negatively associated with RBC (−0.013; P < 0.001) counts. The BKMR model revealed that combined exposure to VOCs levels ≥70th percentile was significantly associated with lower RBC counts, and BMA was identified as the dominant contributor. Smoking significantly influenced the relationship between VOCs and hematological parameters. ConclusionsOur study indicated the effects of single and overall VOCs exposure on hematological parameters and suggested the hematotoxicity as well as pro-inflammatory effects of VOCs, which had strong public health implications for reducing the potential health hazards of VOCs exposure to the hematologic system.

A solar-powered self-clean gas-sensing neural modulator for behavioral intervention with spatiotemporal flexibility

The amalgamation of high-sensitivity gas sensors with neural electrical stimulation technology stands as a compelling solution for eliciting behavioral responses in the presence of low-level hazardous gases. The utilization of battery-powered or coil-based configurations introduces spatiotemporal limitations, encompassing constrained experimental durations due to battery life or the necessity to confine subjects to specific locales for wireless power transmission. In this study, we present an advanced wireless neural modulator, meticulously engineered for behavioral intervention in unrestricted environments. This device integrates a solar-powered unit, gas sensor, brain stimulation signal management system, and a neurostimulation electrode. The solar energy utilization eliminates the necessity for battery replacements and local range limitations. The surface of the solar cells is treated with a superhydrophobic coating, enhancing performance in outdoor settings by mitigating surface contamination issues inherent in traditional solar cells. This innovation guarantees continuous, long-term, on-demand operational capacity, ensuring uninterrupted power supply to the system. Experimentation revealed shortened locomotor activity in mice, induced by stimulation of the periaqueductal gray (PAG) brain region, for up to thirty minutes. These results underscore the significant potential of our technology for spatially and temporally unrestricted neuromodulatory applications, offering a viable strategy to alleviate the detrimental effects of hazardous gas exposure on physiological functions.

Projects for queering disaster: reciprocal knowledge exchange and practice

PurposeThe purpose of this study is to identify LGBTQ+ perceptions of and experiences with hazards, vulnerabilities and disasters in the San Francisco Bay Area in the USA and to co-develop applied projects to “queer” disaster knowledge production and risk reduction activities in the region.Design/methodology/approachThis is a community science project in which we collaborate with community members to enhance both community and scientific knowledge with the goal of utilizing it to produce a positive change to pressing social issues and their underlying causes. We do this through a series of four focus group workshops to identify community priorities, hazards, vulnerabilities and local action. We follow this with further ethnographic research and projects to apply findings from phase one.FindingsThe authors have found that: LGBTQ+ people in the Bay Area have unique experiences with hazards, vulnerabilities and disasters; there are significant gaps in the representation of LGBTQ+ hazard exposure in local scientific models that we can address through alternative methodologies; and tabletop exercises, learning modules and podcasts help orient and train disaster response agencies and personnel on LGBTQ+ inclusive operations.Originality/valueThis initiative entails novel approaches to community science for disaster risk reduction and creative collaboration with community-based organizations to foster the development of LGBTQ+ inclusive disaster risk reduction and response.

Microwave Imaging System Based on Signal Analysis in a Planar Environment for Detection of Abdominal Aortic Aneurysms.

A proof-of-concept of a microwave imaging system for the fast detection of abdominal aortic aneurysms is shown. This experimental technology seeks to overcome the factors hampering the fast screening for these aneurysms with the usual equipment, such as high cost, long-time operation or hazardous exposure to chemical substances. The hardware system is composed of 16 twin antennas mastered by a microcontroller through a switching network, which connects the antennas to the measurement instrument for sequential measurement. The software system is run by a computer, mastering the whole system, automatizing the measurement process and running the signal processing and medical image generation algorithms. Two image generation algorithms are tested: Delay-and-Sum (DAS) and Improved Delay-and-Sum (IDAS). Own-modified versions of these algorithms adapted to the requirements of our system are proposed. The system is carefully calibrated and fine-tuned with known objects placed at known distances. An experimental proof-of-concept is shown with a human torso phantom, including an aorta phantom and an aneurysm phantom placed in different positions. The results show good imaging capabilities with the potential for detecting and locating possible abdominal aortic aneurysms and reporting acceptable errors.

Evaluating the human neurotoxicity and toxicological interactions impact of co-occurring regulated and emerging mycotoxins

Mycotoxins can inflict harmful effects on diverse organs, and mounting evidence indicates their potential involvement in human neurodegenerative diseases. Given the common occurrence of these toxins in food, there is an increasing demand for a comprehensive assessment of their combined toxicity to enhance our understanding of their potential hazards. This research investigates mycotoxin exposure from widely consumed cereal-based products, including enniatin B (ENNB), sterigmatocystin (STG), aflatoxin B1 (AFB1), cyclopiazonic acid (CPZ), citrinin (CIT), and ochratoxin A (OTA). Employing the median-effect equation based on Chou and Talalay's mass-action law, we assessed their cytotoxicity in human SH-SY5Y neuronal cells. Notably, ENNB displayed the highest neurotoxicity (IC50 = 3.72 µM), followed by OTA (9.10 µM) and STG (9.99 µM). The combination of OTA + STG exhibited the highest toxicity (IC50 = 3.77 µM), while CPZ + CIT showed the least detrimental effect. Approximately 70 % of tested binary combinations displayed synergistic or additive effects, except for ENNB + STG, ENNB + AFB1, and CPZ + CIT, which showed antagonistic interactions. Intriguingly, the senary combination displayed moderate antagonism at the lowest exposure and moderate synergism at higher doses. OTA exhibited predominantly synergistic interactions, comprising approximately 90 %, a noteworthy finding considering its prevalence in food. Conversely, ENNB interactions tended to be antagonistic. The most remarkable synergy occurred in the STG and CIT combination, enabling a 50-fold reduction in CIT dosage for an equivalent toxic effect. These findings highlight the biological relevance of robust synergistic interactions, emphasizing the need to assess human exposure hazards accurately, particularly considering frequent mycotoxin co-occurrence in environmental and food settings.

Concentration levels and ecological risk assessment of typical organophosphate esters in representative surface waters of a megacity

Organophosphate esters (OPEs) have been widely used as flame retardants and plasticizers in consumer and industrial products. They have been found to have numerous exposure hazards. Recently, several OPEs have been detected in surface waters around the world, which may pose potential ecological risks to freshwater organisms. In this study, the concentration, spatial variation, and ecological risk of 15 OPEs in the Beiyun and Yongding rivers were unprecedentedly investigated by the ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and risk quotient (RQ) method. The result showed that triethyl phosphate (TEP), tri (2-chloroisopropyl) phosphate (TCPP) were the most abundant OPEs with average concentrations of 55.53 ng/L and 42.29 ng/L, respectively. The concentrations of OPEs in the Beiyun River are higher than in the Yongding River, and their levels were higher in densely populated and industrial areas. The risk assessment showed that there was insignificant from OPEs to freshwater organisms in these rivers (RQs <0.1). The risk was higher downstream than upstream, which was related to human-intensive industrial activities downstream in the Yongding River. The ecological risk of OPEs in surface waters worldwide was estimated by joint probability curves (JPCs), and the result showed that there was a moderate risk for tri (2-chloroethyl) phosphate (TCEP), a low risk for trimethyl phosphate (TMP), and insignificant for other OPEs. In addition, the QSAR-ICE-SSD model was used to calculate the hazardous concentration for 5% (HC5). This result validated the feasibility and accuracy of this model in predicting acute data of OPEs and reducing biological experiments on the toxicity of OPEs. These results revealed the ecological risk of OPEs and provided the scientific basis for environmental managers.

Placental transfer and hazards of silver nanoparticles exposure during pregnancy: a review

Placental transfer and hazards of silver nanoparticles exposure during pregnancy: a review

Hazardous heat exposure among incarcerated people in the United States

Climate change is predicted to increase the frequency of potentially hazardous heat conditions across the United States, putting the incarcerated population of 2 million at risk for heat-related health conditions. We evaluate the exposure to potentially hazardous heat for 4,078 continental US carceral facilities during 1982–2020. Results show that the number of hot days per year increased during 1982–2020 for 1,739 carceral facilities, primarily located in the southern United States. State-run carceral facilities in Texas and Florida accounted for 52% of total exposure, despite holding 12% of all incarcerated people. This highlights the urgency for enhanced infrastructure, health system interventions and treatment of incarcerated people, especially under climate change.

Data Linkages for Wildfire Exposures and Human Health Studies: A Scoping Review.

Wildfires are increasing in frequency and intensity, with significant consequences that impact human health. A scoping review was conducted to: (a) understand wildfire-related health effects, (b) identify and describe environmental exposure and health outcome data sources used to research the impacts of wildfire exposures on health, and (c) identify gaps and opportunities to leverage exposure and health data to advance research. A literature search was conducted in PubMed and a sample of 83 articles met inclusion criteria. A majority of studies focused on respiratory and cardiovascular outcomes. Hospital administrative data was the most common health data source, followed by government data sources and health surveys. Wildfire smoke, specifically fine particulate matter (PM2.5), was the most common exposure measure and was predominantly estimated from monitoring networks and satellite data. Health data were not available in real-time, and they lacked spatial and temporal coverage to study health outcomes with longer latency periods. Exposure data were often available in real-time and provided better temporal and spatial coverage but did not capture the complex mixture of hazardous wildfire smoke pollutants nor exposures associated with non-air pathways such as soil, household dust, food, and water. This scoping review of the specific health and exposure data sources used to underpin these studies provides a framework for the research community to understand: (a) the use and value of various environmental and health data sources, and (b) the opportunities for improving data collection, integration, and accessibility to help inform our understanding of wildfires and other environmental exposures.

Case study: Noise risk assessment of workers at the mechanized mining face of coal mines

An assessment of workers at the mechanized mining face of coal mines was conducted in China. The survey on the current status of subject exposure to noise of coal miners was administered by occupational health investigation and detailed record of work days. The noise dosimeter measurements of 211 workers were obtained, including coal cutting, supporting, transportation, crushing, and auxiliary (such as air pressure, pump, and maintenance). A total of 56.4% of the LEX,8h exceeded 85 dB(A), and the average 8-hour equivalent sound level of the workers at the mechanized mining face of these coal mines was 91.2 dB(A). Within the noise frequency from 500 to 6000 Hz, there was a “V” shift in the displacement value of hearing threshold. At the noise frequency of 4000 Hz, the hearing loss N50 (dB) of workers reached the maximum. The longer the exposure time, the higher risk both in high-frequency hearing loss and noise-induced deafness. The risk of high-frequency hearing loss reached the high-risk level at 25 years of work, while the risk of noise deafness reached the high-risk level after 30 years of work. In addition, the Pearson correlation coefficient between the noise exposure time and the risk of noise-induced hearing loss was high and positively correlated. The results show that the production noise hazards at the mechanized mining face of coal mine are relatively large. High levels of hazardous noise exposure are typical in coal mines. The noise exposure data can help to develop more feasible noise controls for the employer.

Emotions, worry, efficacy, and climate change–related sustainability behaviors among a representative sample of Texas and Florida residents

Uptake and support of sustainable technologies that decrease greenhouse gas emissions are critical to mitigating climate change. Engagement in individual (e.g., eating less meat, electric car use) and collective (e.g., petition signing, donating money to environmental causes) sustainability behaviors may correlate with psychological factors including emotions, worry about climate change and natural hazards, and response efficacy. However, little research has explored these relationships in representative samples at high risk for climate-related hazard exposures (e.g., hurricanes, heatwaves, flooding). We assessed climate change-related sustainability behaviors in an ongoing, probability-based representative survey of 1479 Texas and Florida residents repeatedly exposed to climate-related hazards including hurricanes, heatwaves, flooding, and tornadoes. Controlling for demographics, behavior-related positive and negative emotions correlated with engagement in performing a greater number of collective-level sustainability behaviors (positive emotions: IRR = 2.06, p < .001; negative emotions: IRR = 1.46, p = .030). However, negative emotions were mediated by natural hazard worry, which in turn was mediated by climate change worry. Positive emotions were mediated by response efficacy. Individual-level sustainability behaviors were associated with positive emotions (IRR = 1.18, p < .001), which were again mediated by response efficacy. In adjusted analyses unpacking the relationship between discrete emotions and sustainability behaviors, hope was associated with individual- and collective-level sustainability behaviors (all ps < .05). Results suggest general climate change worry may be adaptive and that feelings of hope, relative to other emotions (both positive and negative), may help encourage sustainability behaviors that address climate change. Scalable interventions should explore leveraging these psychological experiences to promote uptake of sustainable technology-related behaviors more broadly.

Mapping current and future flood exposure using a 5 m flood model and climate change projections

Abstract. Local stakeholders need information about areas exposed to potential flooding to manage increasing disaster risk. Moderate- and large-scale flood hazard mapping is often produced at a low spatial resolution, typically using only one source of flooding (e.g., riverine), and it often fails to include climate change. This article assesses flood hazard exposure in the city of Vancouver, Canada, using flood mapping produced by flood risk science experts JBA Risk Management, which represented baseline exposure at 5 m spatial resolution and incorporated climate-change-adjusted values based on different greenhouse gas emission scenarios. The article identifies areas of both current and future flood exposure in the built environment, differentiating between sources of flooding (fluvial, pluvial, storm surge) and climate change scenarios. The case study demonstrates the utility of a flood model with a moderate resolution for informing planning, policy development, and public education. Without recent engineered or regulatory mapping available in all areas across Canada, this model provides a mechanism for identifying possible present and future flood risk at a higher resolution than is available at a Canada-wide coverage.

Toxicity Screening of Fungal Extracts and Metabolites, Xenobiotic Chemicals, and Indoor Dusts with In Vitro and Ex Vivo Bioassay Methods.

It is controversial how useful bioassays are for identifying the in vivo toxicity of hazardous environmental exposures. In this study, fruiting bodies of forest mushrooms (n = 46), indoor mold colonies (n = 412), fungal secondary metabolites (n = 18), xenobiotic chemicals such as biocides and detergents (n = 6), and methanol extracts of indoor dusts from urban buildings (n = 26) were screened with two different bioactivity assays: boar sperm motility inhibition (BSMI) and inhibition of cell proliferation (ICP) tests. For the forest mushrooms, the toxicity testing result was positive for 100% of poisonous-classified species, 69% of non-edible-classified species, and 18% of edible-classified species. Colonies of 21 isolates of Ascomycota mold fungal species previously isolated from water-damaged buildings proved to be toxic in the tests. Out of the fungal metabolites and xenobiotic chemicals, 94% and 100% were toxic, respectively. Out of the indoor dusts from moldy-classified houses (n = 12) and from dry, mold-free houses (n = 14), 50% and 57% were toxic, respectively. The bioassay tests, however, could not differentiate the samples from indoor dusts of moldy-classified buildings from those from the mold-free buildings. Xenobiotic chemicals and indoor dusts were more toxic in the BSMI assay than in the ICP assay, whereas the opposite results were obtained with the Ascomycota mold colonies and fungal secondary metabolites. The tests recognized unknown methanol-soluble thermoresistant substances in indoor settled dusts. Toxic indoor dusts may indicate a harmful exposure, regardless of whether the toxicity is due to xenobiotic chemicals or microbial metabolites.