Navigating the nexus: climate dynamics and microplastics pollution in coastal ecosystems.

Microplastics (MPs) pollution is an emerging environmental health concern, impacting soil, plants, animals, and humans through their entry into the food chain via bioaccumulation. Human activities such as improper solid waste dumping are significant sources that ultimately transport MPs into the water bodies of the coastal areas. Moreover, there is a complex interplay between the coastal climate dynamics, environmental factors, the burgeoning issue of MPs pollution and the complex web of coastal pollution. We embark on a comprehensive journey, synthesizing the latest research across multiple disciplines to provide a holistic understanding of how these inter-connected factors shape and reshape the coastal ecosystems. The comprehensive review also explores the impact of the current climatic patterns on coastal regions, the intricate pathways through which MPs can infiltrate marine environments, and the cascading effects of coastal pollution on ecosystems and human societies in terms of health and socio-economic impacts in coastal regions. The novelty of this review concludes the changes in climate patterns have crucial effects on coastal regions, proceeding MPs as more prevalent, deteriorating coastal ecosystems, and hastening the transfer of MPs. The continuous rising sea levels, ocean acidification, and strong storms result in habitat loss, decline in biodiversity, and economic repercussion. Feedback mechanisms intensify pollution effects, underlying the urgent demand for environmental conservation contribution. In addition, the complex interaction between human, industry, and biodiversity demanding cutting edge strategies, innovative approaches such as remote sensing with artificial intelligence for monitoring, biobased remediation techniques, global cooperation in governance, policies to lessen the negative socioeconomic and environmental effects of coastal pollution.

Management of Climate Resilience: Exploring the Potential of Digital Twin Technology, 3D City Modelling, and Early Warning Systems.

Cities, and in particular those in coastal low-lying areas, are becoming increasingly susceptible to climate change, the impact of which is worsened by the tendency for population concentration in these areas. Therefore, comprehensive early warning systems are necessary to minimize harm from extreme climate events on communities. Ideally, such a system would allow all stakeholders to acquire accurate up-to-date information and respond effectively. This paper presents a systematic review that highlights the significance, potential, and future directions of 3D city modelling, early warning systems, and digital twins in the creation of technology for building climate resilience through the effective management of smart cities. In total, 68 papers were identified through the PRISMA approach. A total of 37 case studies were included, among which (n = 10) define the framework for a digital twin technology, (n = 14) involve the design of 3D virtual city models, and (n = 13) entail the generation of early warning alerts using the real-time sensor data. This review concludes that the bidirectional flow of data between a digital model and the real physical environment is an emerging concept for enhancing climate resilience. However, the research is primarily in the phase of theoretical concepts and discussion, and numerous research gaps remain regarding the implementation and use of a bidirectional data flow in a true digital twin. Nonetheless, ongoing innovative research projects are exploring the potential of digital twin technology to address the challenges faced by communities in vulnerable areas, which will hopefully lead to practical solutions for enhancing climate resilience in the near future.

Individually experienced heat index in a coastal Southeastern US city among an occupationally exposed population.

Recent studies have characterized individually experienced temperatures or individually experienced heat indices, including new exposure metrics that capture dimensions of exposure intensity, frequency, and duration. Yet, few studies have examined the personal thermal exposure in underrepresented groups, like outdoor workers, and even fewer have assessed corresponding changes in physiologic heat strain. The objective of this paper is to examine a cohort of occupationally exposed grounds and public safety workers (n = 25) to characterize their heat exposure and resulting heat strain. In addition, a secondary aim of this work is to compare individually heat index exposure (IHIE) across exposure metrics, fixed-site in situ weather stations, and raster-derived urban heat island (UHI) measurements in Charleston, SC, a humid coastal climate in the Southeastern USA. A Bland-Altman (BA) analysis was used to assess the level of agreement between the personal IHIE measurements and weather-station heat index (HI) and Urban Heat Island (UHI) measurements. Linear mixed-effect models were used to determine the association between individual risk factors and in situ weather station measurements significantly associated with IHIE measurements. Multivariable stepwise Cox proportional hazard modeling was used to identify the individual and workplace factors associated with time to heat strain in workers. We also examined the non-linear association between heat strain and exposure metrics using generalized additive models. We found significant heterogeneity in IHIE measurements across participants. We observed that time to heat strain was positively associated with a higher IHIE, older age, being male, and among Caucasian workers. Important nonlinear associations between heat strain occurrence and the intensity, frequency, and duration of personal heat metrics were observed. Lastly, our analysis found that IHIE measures were significantly similar for weather station HI, although differences were more pronounced for temperature and relative humidity measurements. Conversely, our IHIE findings were much lower than raster-derived UHI measurements. Real-time monitoring can offer important insights about unfolding temperature-health trends and emerging behaviors during thermal extreme events, which have significant potential to provide situational awareness.

Do the issues of religious minority and coastal climate crisis increase the burden of chronic illness in Bangladesh?

BACKGROUND: Chronic illness with disability and its out-of-pocket expenditure (OOPE) remains a big financial challenge in Bangladesh. The purpose of this study was to explore how religious minority problem and coastal climate crisis with other common risk factors determined chronic illness with a disability and its financial burden in Bangladesh. Existing policy responses, especially, social safety net programs and their governance were analyzed for suggesting better policy options that avoid distress financing. METHODS: Binary logistic and multiple linear regression models were respectively used to identify the factors of disability, and high OOPE based on Bangladesh Household Income and Expenditure Survey 2016 data. RESULTS: We found that disable people had relatively higher OOPE than their non-disabled counterparts and this OOPE further surges when the number of disabilities increases. In addition to the common factors, the novelty of our findings indicated that the religious minority problem as well as the coastal climate crisis have bearing on the disability burden in Bangladesh. The likelihood of having a chronic illness with a disability was 13.2% higher for the religious minorities compared to the majorities (Odds ratio (OR): 1.132, 95% confidence interval (CI): 1.033-1.241) and it was 21.6% higher for the people who lived in the exposed coast than those who lived in the non-exposed area (OR: 1.216, 95% CI: 1.107-1.335). With disabilities, people from the exposed coast incurred higher OOPE than those from the non-exposed areas. Although receiving assistance from social safety net programs (SSNPs) seemed to reduce their high OOPE and financial distress such as selling assets and being indebted, the distribution was not equitably and efficiently managed to confirm the process of inclusion leakage-free. On average, those who enrolled from the minority group and the exposed coast paid the relatively higher bribes. CONCLUSIONS: To reduce burden, the government should strengthen and specify the existing SSNPs more for disable people, especially from the minority group and the exposed coast, and ensure the selection process more inclusive and leakage-free.

The climate influence on the way and place of childcare and its impact on children's health.

OBJECTIVE: The aim of the study is to look at the effects of climate on the way and place of childcare and their impact on children's health. METHOD: The method used is field exploration by observing how parents take care of their children, and measuring the temperature and humidity of the caregiver, besides looking for secondary data at the local health center regarding the level of health of infants (health center visits for treatment and types of diseases that are mainly affected by climate). RESULT: Soil as a reservoir for germs occurs because the residential environment is not clean due to a poor drainage system which results in dirty water not being channeled properly, being absorbed into the soil and stagnant. In addition, high wind speeds also have an impact on household displacement from endemic places into settlements. It takes non-physical and physical efforts to prevent children from contracting the disease. Non-physical efforts through good behavior, and physically by making playtime comfortable and safe for children. CONCLUSION: Children who play in nature using soil media are at risk of causing disease. Soil as a reservoir for germs occurs because the residential environment is not clean due to a poor drainage system, resulting in dirty water not being channeled properly, absorbed into the soil and stagnant.

Genetic evaluation of growth and reproductive performances of crossbred pigs reared under intensive system in tropical humid coastal climate.

Pig farming is one of the most economically viable options for the rural backward and resource-poor farmers in Asian countries. Growth rate and litter size are the most important traits based on which the crossbreeding programs are typically planned in commercial pig farming. The modern system of farming with high yielding improved pig germplasm helps in economic growth in piggery enterprises. The present study was undertaken to evaluate the influence of various genetic and non-genetic factors on growth and reproductive performances of 75% crossbred progenies of Large White Yorkshire and indigenous Agonda Goan pigs. Body weights were recorded at birth, weaning, and at monthly intervals up to 10 months of age. Reproductive performances were also recorded for litter size and weights at birth and weaning stages, age at first farrowing, number of services per conception, farrowing interval, and pre-weaning mortality. The general linear model was used to estimate overall least square means of body weights at different ages considering the effects of different factors at certain levels viz., generation (i = first, second, third, fourth), sex (j = male, female), litter size at birth (k = 1-3, 4-6, 7-9, ≥10), parity (l = 1, 2, ≥3), season (m = summer, rainy, spring), and period of birth (n = 2012-2015, 2016-2019). The heritability and genetic correlations for different traits were estimated by restricted maximum likelihood (REML) method using WOMBAT software. The re(production) parameters were analyzed to assess the genetic improvement in successive generations. There was significant difference (p < 0.01) in body weights among different generations where animals belonging to latest generation showed maximum body weights indicating ideal selective breeding in the herd. Other fixed effects also had significant effects on growth performance which clearly signifies to the crucial influence of rearing environment and animal factors like parity of dams as well as litter size at birth. The overall birth weight, weaning weight, and weight at 10 months of age were 1.00 ± 0.01 kg, 7.57 ± 0.07 kg, and 81.58 ± 1.96 kg, respectively. Nevertheless, weaning weight and weight at marketing age (8 months) were 8.04 ± 0.27 kg and 75.48 ± 1.40 kg, respectively, in fourth generation, indicating higher post-weaning growth rate of 337.20 g/day. During this fourth generation, mean litter size at birth was 8.35 ± 0.43 and litter size at weaning was 7.79 ± 0.39 with lowest percentage of pre-weaning mortality (4.11 ± 1.51). The average age at first farrowing and farrowing interval was 293 ± 17.24 and 195 ± 4.78 days, respectively. There was apparently greater genetic gain in each generation except for the second generation which might be due to the environment and managemental issues that hindered reproductive performance traits and body growth. The heritability estimate for weaning weight was 0.45 and higher heritability values were observed for all the body weights except weight at third month. Genetic as well as phenotypic correlations were moderate to high among the growth traits. The heritability and genetic correlations at birth and weaning indicate the reliability of selection at an early age. The findings indicated that there is scope for improvement through genetic selection in later generations and the 75% crossbred pigs thrived well in the prevailing hot and humid tropical coastal climate. The improved germplasm could satisfy the farmers' need in a commercial venture with high economic return.

The climate influence on the way and place of childcare and its impact on children's health

Objective: The aim of the study is to look at the effects of climate on the way and place of childcare and their impact on children's health. Method: The method used is field exploration by observing how parents take care of their children, and measuring the temperature and humidity of the caregiver, besides looking for secondary data at the local health center regarding the level of health of infants (health center visits for treatment and types of diseases that are mainly affected by climate). Result: Soil as a reservoir for germs occurs because the residential environment is not clean due to a poor drainage system which results in dirty water not being channeled properly, being absorbed into the soil and stagnant. In addition, high wind speeds also have an impact on household displacement from endemic places into settlements. It takes non-physical and physical efforts to prevent children from contracting the disease. Non-physical efforts through good behavior, and physically by making playtime comfortable and safe for children. Conclusion: Children who play in nature using soil media are at risk of causing disease. Soil as a reservoir for germs occurs because the residential environment is not clean due to a poor drainage system, resulting in dirty water not being channeled properly, absorbed into the soil and stagnant. (AU)