There have been few large multicity studies to evaluate the acute health effects of ambient air pollution on morbidity risk in developing counties. In this study, we examined the short-term associations of air pollution with daily hospital admissions in China. We conducted a nationwide time-series study in 218 Chinese cities between 2014 and 2016. Data on daily hospital admissions counts were obtained from the National Health Insurance Database for Urban Employees covering 0.28 billion enrollees. We used generalized additive model with Poisson regression to estimate the associations in each city, and we performed random-effects meta-analysis to pool the city-specific estimates. More than 60 million hospital admissions were analyzed in this study. At the national-average level, each 10 μg/m³ increase in PM₁₀, SO₂, and NO₂, and 1 mg/m³ increase in CO at lag 0 day was associated with a 0.29% (95% CI, 0.23%–0.36%), 1.16% (95% CI, 0.92%–1.40%), 1.68% (95% CI, 1.40%–1.95%), and 2.59% (95% CI, 1.69%–3.50%) higher daily hospital admissions, respectively. The associations of air pollution with hospital admissions remained statistically significant at levels below the current Chinese Ambient Air Quality Standards. The effect estimates were larger in cities with lower air pollutants levels or higher air temperatures and relative humidity, as well as in the elderly. In conclusion, our findings provide robust evidence of increased hospital admissions in association with short-term exposure to ambient air pollution in China.

The impact of ambient air pollution on pregnant women is a concern in China. However, little is known about the association between air pollution and preeclampsia and the potential modifying effects of meteorological conditions have not been assessed. This study aimed to assess the effects of prenatal exposure to air pollution on preeclampsia, and to explore whether temperature and humidity modify the effects. We performed a retrospective cohort study based on 1.21 million singleton births from the birth registration system in Shenzhen, China, between 2005 and 2012. Daily average measurements of particulate matter <10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), air temperature (T), and dew point (Td) were collected. Logistic regression models were performed to estimate associations between air pollution and preeclampsia during the first and second trimesters, and during the entire pregnancy. In each time window, we observed a positive gradient of increasing preeclampsia risk with increasing quartiles of PM10 and SO2 exposure. When stratified by T and Td in three categories (<5th, 5th −95th, and >95th percentile), we found a significant interaction between PM10 and Td on preeclampsia; the adverse effects of PM10 increased with Td. During the entire pregnancy, there was a null association between PM10 and preeclampsia under Td < 5th percentile. Preeclampsia risk increased by 23% (95% CI: 19–26%) when 5th < Td < 95th percentile, and by 34% (16–55%) when Td > 95th percentile. We also found that air pollution effects on preeclampsia in autumn/winter seasons were stronger than those in the spring/summer. This is the first study to address modifying effects of meteorological factors on the association between air pollution and preeclampsia. Findings indicate that prenatal exposure to PM10 and SO2 increase preeclampsia risk in Shenzhen, China, and the effects could be modified by humidity. Pregnant women should limit air pollution exposure, particularly during humid periods.

Multi-stage constructed wetlands (CWs) have been proved to be a cost-effective alternative in the treatment of various wastewaters for improving the treatment performance as compared with the conventional single-stage CWs. However, few long-term full-scale multi-stage CWs have been performed and evaluated for polishing effluents from domestic wastewater treatment plants (WWTP). This study investigated the seasonal and spatial dynamics of carbon and the effects of the key factors (input loading and temperature) in the large-scale seven-stage Wu River CW polishing domestic WWTP effluents in northern China. The results indicated a significant improvement in water quality. Significant seasonal and spatial variations of organics removal were observed in the Wu River CW with a higher COD removal efficiency of 64–66% in summer and fall. Obvious seasonal and spatial variations of CH₄ and CO₂ emissions were also found with the average CH₄ and CO₂ emission rates of 3.78–35.54 mg m⁻² d⁻¹ and 610.78–8992.71 mg m⁻² d⁻¹, respectively, while the higher CH₄ and CO₂ emission flux was obtained in spring and summer. Seasonal air temperatures and inflow COD loading rates significantly affected organics removal and CH₄ emission, but they appeared to have a weak influence on CO₂ emission. Overall, this study suggested that large-scale Wu River CW might be a potential source of GHG, but considering the sustainability of the multi-stage CW, the inflow COD loading rate of 1.8–2.0 g m⁻² d⁻¹ and temperature of 15–20 °C may be the suitable condition for achieving the higher organics removal efficiency and lower greenhouse gases (GHG) emission in polishing the domestic WWTP effluent. The obtained knowledge of the carbon dynamics in large-scale Wu River CW will be helpful for understanding the carbon cycles, but also can provide useful field experience for the design, operation and management of multi-stage CW treatments.

The anthropogenic pressure in recent years has driven us to investigate the environmental quality at 22 stations in Parangipettai by collecting seawater samples monthly from 2014 to 2015. The sampling stations were grouped into three different environments, namely, Vellar Estuary (VE), Coleroon Estuary (CE), and Open Sea (OS). Factor analysis showed a total variance of 65.63% and exhibited a strong factor loading for atmospheric temperature (0.914), water temperature (0.917), ammonia (0.767), inorganic phosphate (0.897), total phosphorus (0.783), and phytoplankton (0.829). The index value showed water quality was good in OS (74.18), whereas it was moderate in VE (69.73) and CE (68.47). The visual model developed using Geographical Information System (GIS) displayed a spatial pattern of water temperature and phytoplankton dispersion in a distinct manner. The results obtained through multivariate analysis and GIS-based model are imperative to establish reference for a comparative study with other similar ecosystem for better planning and management of tropical seawaters.

The relationship between land use and microbial community structure at seven sites along the Lower Mekong River, between Thailand and the Loa People’s Democratic Republic, was investigated using Illumina next-generation sequencing of the V5–V6 hypervariable regions of the 16S rRNA gene. In total, 14,470 operational taxonomic units (OTUs) were observed. Community composition was significantly different between sampling years. Moraxellaceae and Comamonadaceae were the predominant bacterial families in upstream sites, which included agricultural and urban areas in the Loei and Nong Khai provinces of Thailand. Members of the family Comamonadaceae were prevalent in agricultural and urban sites in Bueng Kan Province, while Moraxellaceae and Burkholderiaceae were the major families in a site downstream of an urban area in the Nakhon Phanom Province of Thailand. The bacterial community observed from a forested area of Patam National Park in Thailand showed greatest diversity, and several major bacterial families including Comamonadaceae, Moraxellaceae, and Pseudomonadaceae were more dominant than other sites. The diversity of fecal indicator bacteria, determined by ERIC-PCR DNA fingerprinting, indicated the presence of 29 strains of Escherichia coli and 21 strains of Enterococcus, while TP-RAPD patterns represented six species of Enterococcus. Results of this study indicated that although the difference in the distribution of bacterial phyla and families was found among sampling sites, the bacterial community composition, based on the presence of OTUs, continuously retained its signature across approximately 758 km along the Lower Mekong River, regardless of the type of land use. Water parameters, including temperature, turbidity, DO, and air temperature, also differentially affected the abundance of bacterial families along the Mekong River.

The co-occurrence of increasing air temperature and heavy metal contamination of soils has important effects on plants. This study investigated needles resistance in Pinus sylvestris L. var. mongholica Litv. seedlings exposed to elevated air temperature and cadmium (Cd) for 3 years and assessed Cd accumulation. Elevated air temperature (1.96 °C) stimulated Cd accumulation in plants, and Cd uptake by roots was significantly (p < 0.05) greater than uptake by needles under elevated temperature. Elevated air temperature significantly (p < 0.05) decreased malondialdehyde content in needles exposed to Cd. Peroxidase and catalase activity in needles increased under elevated temperature + 1.0 mg Cd kg⁻¹ dry weight soil and decreased under elevated temperature + 5.0 mg Cd kg⁻¹ dry weight soil relative to Cd alone. Elevated temperature significantly (p < 0.05) increased chlorophyll, carotenoids, carbon, nitrogen, hydrogen, sulfur, proline, soluble sugars, flavonoids, saponins, and phenolic compounds in needles under Cd stress. Secondary metabolites, proline, soluble sugars, sulfur, glutathione, phytochelatins, and cysteine contents increased with increasing Cd levels irrespective of temperature. Overall, 3 years of exposure to elevated air temperature can enhance needles stress resistance in seedlings exposed to Cd pollution by stimulating antioxidant enzymes, osmotic adjustment, and production of secondary metabolites and thiol-containing chelators and Cd accumulation in seedlings.

Ozone (O₃) decomposition in the troposphere is a very important process which prevents excessive O₃ accumulation in the air. It is particularly significant on warm summer days which are marked by a high risk of photochemical smog. We used Spearman’s rank correlation test to determine relationships between the drop in O₃ concentrations over time (-ΔO₃), nitrogen oxide (NO), nitrogen dioxide (NO₂), and total nitrogen oxide (NOₓ) concentrations and meteorological factors (1-h average) in low-polluted urban area in Olsztyn (north-eastern Poland). Nitrogen oxide concentrations were measured continuously by the chemiluminescence method, and O₃ concentrations were determined by the UV photometric method. The obtained results suggest that the rate of decomposition of tropospheric O₃ is affected mostly by the presence of NOₓ, high temperature, and air humidity (positive correlation) as well as by wind speed (negative correlation). Maximum correlation coefficient values were reported between –ΔO₃ and air temperature, –ΔO₃ and absolute air humidity when NOₓ concentrations were low (below 1.0 microgram per cubic meter), reaching 0.271 and 0.243, respectively. These results indicate that O₃ also reacted with air components other than NO and NO₂. Precipitation at average temperature of < 0 °C did not significantly contribute to a drop in O₃ concentrations at night-time. In the warm season, precipitation slowed down the rate of O₃ decomposition, mostly because NOₓ were scrubbed by rain. An analysis of seasonal and daily –ΔO₃ fluctuations revealed that –ΔO₃ values were highest in the summer and shortly after sunset in the diurnal cycle.

The use of plants and natural processes for wastewater treatment is an issue that arouses interest among technologists and scientists around the world. The aim of the article was to analyze the influence of the air temperature and insolation on the removal of nitrate nitrogen from the wastewater treated in the hydroponic system, under greenhouse conditions. Samples of sewage for its quality tests were taken from a wastewater treatment plant (WWTP) located in the southwestern part of Poland. Data regarding daily sunshine duration and average daily air temperature values in selected periods of 2013–2016 come from a meteorological station located 30 km from WWTP. The conducted research and analyses of the results clearly indicate that under moderate climate conditions, the amount of solar radiation reaching the Earth’s surface is insufficient to ensure the year-round, effective wastewater treatment process in the hydroponic system. In the case of air temperature, no correlation was found between the tested parameters, which indicates the lack of temperature influence on the efficiency of NO₃ removal from the wastewater by macrophytes growing in the lagoon.

Parallel measurements of PM₁ and PM₂.₅ aerosols were conducted in the urbanized coastal zone of the southern Baltic Sea. The main aim of the research was to assess and determine annual, seasonal (heating and non-heating), and daily concentration variability of benzo(a)pyrene in aerosols, these being the most dangerous constituents to human health. The average annual concentration of benzo(a)pyrene (B(a)P) was equal to 2.6 ng·m⁻³ in PM₁ and 4.6 ng·m⁻³ in PM₂.₅, and both values were several times higher than the level of 1 ng·m⁻³ which was set out in the CAFE Directive. High mean daily concentrations of B(a)P persisted for 50 and 65% of the study period in PM1 and PM2.5, respectively. In order to determine the sources of B(a)P in both aerosol fractions, organic (OC) and elemental (EC) carbon concentrations were examined. The highest concentrations of all carbon species were reported during the heating season under local or regional land advection and at low air temperatures. The origin of pollutants was the same and was primarily related to the combustion of fossil fuels in the communal-utility sector. During the non-heating period, the role of transportation, both land and marine, increased and may have been significant in creating higher concentrations of carbon compounds in PM₁ and PM₂.₅. Regardless of the size of the aerosol fractions, B(a)P loads introduced into the Baltic coastal zone were several times higher during the heating period compared to the non-heating season. Graphical abstract ᅟ

Although many studies have examined the correlation between temperature and mortality from cardiovascular diseases (CVD), other meteorological factors, such as relative humidity, may modify the relationship. Yet the studies on this aspect are relatively few. We chose a heat index (HI, which is an index that combines air temperature and relative humidity) as an alternative indicator of temperature, and used a distributed lag nonlinear model (DLNM) to analyze the combined effects of temperature and relative humidity on CVD mortality among all of the Beijing residents and subsociodemographic groups by age, sex, and occupation. The heat index can better reflect the human-perceived temperature when relative humidity is combined with air temperature. The results show that females, elderly people, and outdoor workers have higher vulnerability levels in regard to a high heat index. The strongest effect of heat index was found among females, for which the highest mortality risk was about 2.4 (95% CI 1.8–3) times greater than the lowest mortality risk. In addition, we found that there is a significant interaction effect of temperature and relative humidity on CVD mortality. The impact of extreme high temperature may be exacerbated by increases in humidity. Based on these results, we draw the risk level map of CVD death under different temperatures and grades of relative humidity. These findings may aid governments in the development of more accurate heat alerts and the provision of measures to prevent or reduce temperature-related deaths.