Quantifying source apportionment of potentially toxic elements (PTEs) in soils and associated human health risk (HHR) is essential for soil environment regulation and pollution risk mitigation. For this purpose, an integrated method was proposed, and applied to a dataset consisting of As, Cd, Cr, Cu, Hg, Ni, Pb, Se, and Zn in 273 soil surface samples. Positive matrix factorization (PMF) was used to quantitatively examine sources contributions of PTEs in soils; and the HHR arising from the identified source was determined by combining source profiles and health risk assessment; at last, sequential Gaussian simulation (SGS) was used to identify the areas with high HHR. Four sources were identified by PMF. Natural and agricultural sources affected all 9 PTEs contents with contributions ranging from 19.2% to 62.9%. 41.9% of Cd, 40.8% of Pb, 58.6% of Se, and 29.8% of Zn were controlled by industrial and traffic emissions. Metals smelting and mining explained 35.5%, 30.5%, and 24.9% of Cr, Cu, and Ni variations, respectively. Hg was dominated by atmospheric deposition from coal combustion and coking (58.7%). The mean values of the total non-carcinogenic risks of PTEs were 1.55 × 10⁻¹ and 9.40 × 10⁻¹ for adults and children, and the total carcinogenic risk of PTEs had an average value of 8.86 × 10⁻⁵. Based on source-oriented HHR calculation, natural and agricultural sources were the most important factor influencing HHR, explaining 51.0% and 49.1% of non-carcinogenic risks for children and adults, and 44.2% of carcinogenic risk. SGS indicated that 1.1% of the total area was identified as hazardous areas with non-carcinogens risk for children.

Thiosulfate is frequently used as an energy source and electron donor in autotrophic denitrification (AD) for removing nitrate from wastewater. However, transforming pathways of S₂O₃²⁻ in this process is unclear. Herein, the aim of this study is to explore possible transforming pathways of sulfur compounds in thiosulfate-based AD process. After measuring the variation of NO₃⁻, NO₂⁻, and various sulfur compounds such as S⁰, SO₄²⁻, S₂O₃²⁻, acid volatile sulfide (AVS), and S²⁻ in the presence and absence of S₂O₃²⁻, the variation process of S₂O₃²⁻ and the contribution of various sulfur compounds were analyzed. The results indicated that S⁰, AVS, and S²⁻ were the intermediate products when S₂O₃²⁻ was applied as an electron donor. All S₂O₃²⁻, S⁰, AVS, and S²⁻ could act as electron donors in the nitrate removal process with the final products of SO₄²⁻. The utilization priority of these four sulfur sources was presumed in the following order: S²⁻ > S₂O₃²⁻ > AVS ≈ S⁰. Furthermore, sulfur transformation and balance in nitrate removal process was also investigated. This suggests the transforming pathways of sulfur compounds in denitrification process. Nitrogen removal and sulfur conversion process are dependent on the presence of microorganisms in the sludge.

Understanding the movement of polycyclic aromatic hydrocarbons (PAHs) from emission sources to sediments is important for achieving long-term pollution control of PAHs in sediments. In this study, by exploring the correlation of individual PAHs concentrations (CPAHₛ) in Taihu Lake sediments reported in the past twenty years with their annual emissions (EPAHₛ) in the lake region, it was observed that mean concentrations of PAHs with low logKₒw (i.e., logKₒw≤4.00) in Taihu Lake sediments were correlated best with their emissions without lagging between the sediment sampling time and the PAHs emitting time. However, for PAHs with middle logKₒw (i.e., 4.00<logKₒw≤4.57) or high logKₒw (i.e., logKₒw>4.57), their mean concentrations in sediments were correlated best with the emissions of PAHs emitted 1 or 2 years before the sediment sampling time. The longer lagging time of PAHs with middle or high logKₒw from emission sources to lake sediments could be attributed to their retardation in soils and river sediments around the lake. Moreover, the retardation in soils and river sediments is dependent on PAHs logKₒw and degradation half-life, indicating the dependence of PAHs concentration in sediments on their environmental behaviors, including sorption and degradation. Kₒw dependent movement and the time lagging observed in Taihu Lake for PAHs from emission sources to sediments could be valuable for developing measures to control PAHs, especially for congeners with high logKₒw.

Harmful algal blooms are increasingly recognized as a threat to the integrity of freshwater reservoirs, which serve as water supplies, wildlife habitats, and recreational attractions. While algal growth and accumulation is controlled by many environmental factors, the relative importance of these factors is unclear, particularly for turbid eutrophic systems. Here we develop and compare two models that test the relative importance of vertical mixing, light, and nutrients for explaining chlorophyll-a variability in shallow (2–3 m) embayments of a eutrophic reservoir, Jordan Lake, North Carolina. One is a multiple linear regression (statistical) model and the other is a process-based (mechanistic) model. Both models are calibrated using a 15-year data record of chlorophyll-a concentration (2003–2018) for the seasonal period of cyanobacteria dominance (June–October). The mechanistic model includes a novel representation of vertical mixing and is calibrated in a Bayesian framework, which allows for data-driven inference of important process rates. Both models show that chlorophyll-a concentration is much more responsive to nutrient variability than mixing, light, or temperature. While both models explain approximately 60% of the variability in chlorophyll-a, the mechanistic model is more robust in cross-validation and provides a more comprehensive assessment of algal drivers. Overall, these models indicate that nutrient reductions, rather than changes in mixing or background turbidity, are critical to controlling cyanobacteria in a shallow eutrophic freshwater system.

Vehicular emissions contribute significantly to air pollution, and the number of vehicles in use is continuing to rise. Policymakers thus need to formulate vehicular emission reduction policies to improve urban air-quality. This study used different vehicle control scenarios to predict the associated potential of mitigating carbon monoxide (CO), volatile organic compounds (VOCs), nitrogen oxide (NOₓ), particulate matter with an aerodynamic diameter less than 2.5 μm (PM₂.₅), and particulate matter with an aerodynamic diameter less than 10 μm (PM₁₀) in Xi’an China, in 2020 and 2025. One business-as-usual scenario and six control scenarios were established, and vehicular emission inventory was developed according to each scenario. The results revealed that eliminating high-emission vehicles and optimizing after-treatment devices would effectively reduce vehicular emissions. In addition, increasing the number of alternative fuel vehicles, restraining vehicle use, and restraining the growth of the vehicle population would all have certain effects on CO and VOCs emissions, but the effects would not be significant for NOx, PM₂.₅, and PM₁₀. The results also indicated that if all control measures were stringently applied together, emissions of CO, VOCs, NOₓ, PM₂.₅, and PM₁₀ would be reduced by 51.66%, 51.58%, 30.19%,71.12%, and 71.81% in 2020, and 53.55%, 51.44%, 19.09%, 54.88%, and 55.51%, in 2025, respectively.

Numerous pieces of evidence documented the importance of gut microbiota in regulating human health and evaluating the toxicity of environmental pollutants, which are closely related to the host health in various aspects, including nutrition, energy translation, metabolism, pathogen resistance, and immune function. A variety of environmental factors can disrupt gut microbiota and their functions, and inevitably cause immune diseases, obesity and diabetes. However, deciphering the inner mechanisms involved in the functional interaction of gut microbes with host health is still needed extensive investigations. This review focused on the essential roles of intestinal microbes in host-related diseases and highlighted the development and applications of germ-free (GF) animal models, mainly zebrafish. Moreover, the generation, immunity characters, advantages and challenges of GF zebrafish models were also summarized. Importantly, the composition and isolation of zebrafish gut bacteria for further application and toxicity evaluation of aquatic environmental pollutants were also discussed. In conclusion, GF zebrafish play irreplaceable roles in understanding the potential functions and responses of customized microbiota towards human and environmental health implications.

In recent decades China has experienced high-level PM₂.₅ pollution and then visible air quality improvement. To understand the air quality change from the perspective of aerosol optical depth (AOD), we adopted two statistical methods of Empirical Orthogonal Functions (EOF) and Non-negative Matrix Factorization (NMF) to AOD retrieved by MODIS over China and surrounding areas. Results showed that EOF and NMF identified the important factors influencing AOD over China from different angles: natural dusts controlled the seasonal variation with contribution of 42.4%, and anthropogenic emissions have larger contribution to AOD magnitude. To better observe the interannual variation of different sources, we removed seasonal cycles from original data and conducted EOF analysis on AOD monthly anomalies. Results showed that aerosols from anthropogenic sources had the greatest contribution (27%) to AOD anomaly variation and took an obvious downward trend, and natural dust was the second largest contributor with contribution of 17%. In the areas surrounding China, the eastward aerosol transport due to prevailing westerlies in spring significantly influenced the AOD variation over West Pacific with the largest contribution of 21%, whereas the aerosol transport from BTH region in winter had relative greater impact on the AOD magnitude. After removing seasonal cycles, biomass burning in South Asia became the most important influencing factor on AOD anomalies with contribution of 10%, as its interannual variability was largely affected by El Niño. Aerosol transport from BTH was the second largest contributor with contribution of 8% and showed a decreasing trend. This study showed that the downward trend of AOD over China since 2011 was dominated by aerosols from anthropogenic sources, which in a way confirmed the effectiveness of air pollution control policies.

The developments of industry and technology caused by Industrial Revolution increased the consumption and demand of fossil fuels to sustain economic life. As energy consumption continued to increase in the world, its effects emerged for the first time in the 1970s, necessitating the need for access and planning for the supply of world energy consumption that was put on the agenda of economic development planning worldwide. Accordingly, the purpose of this paper is an attempt to access renewable resources in support of the earth taking into account the increasing energy consumption and use of limited fossil energy resources in the world and the consequences of their use in the future. The results show that considering the increasing demand and supply of energy and a variety of factors such as the limitation of fossil energy resources and the environmental constraints resulting from their consumption and considering the capabilities available in Iran, wind energy can be considered as a renewable energy and a good alternative

Environmental impact assessment is an integrated, operational and implemental approach for sustainable development. An attitude is considered in which as an integrated system, everything is got into sustainability in the environment and with the environment, as well. Environmental assessment is a tool that has been developed to prevent environmental degradation caused by human activities. Environmental impact assessment is an approach to evaluate the environmental impacts of a project before and during the project implementation. Therefore, we need to develop a practical and quantitative method to provide a precise planning in order to estimate the effects of a dam and ultimately, to make a decision on the implementation or non- implementation of the project if knowing the impact of all activities on environmental factors. Therefore, we introduced a generalized mathematical model of ICOLD matrix and multi-criteria decision making method (method of analytic hierarchy process) as a quantitative model to analyze the projectâs impacts on the environment. For this purpose, the environmental impact assessment information of the Zaraj-Abad dam, as the study area, was used to demonstrate the validity of the model. Results show that unlike the main implemented method in the dam Zaraj-Abad, who gives the âimplement the Dam projectâ option, this method shows negative effects (45%) of the implementation of the dam on the environment and gives the option of non- implementation.

Current studies are performed to review the past 20 years literature regarding the impact of global warming and climatic changes on water availability, its quality/quantity/yield and consequent effects on nutrients, freshwater and biota. Water resources are susceptible to changes in climate. The water holding capacity of the atmosphere is increased with the rise of temperature. Global warming will cause increased sea levels due to the spreading of oceans and melting of glaciers. The flow of affected freshwater into the oceans will cause variations in stratification, nutrient availability, salinity, and turbidity, which will affect tourism, agriculture, and industry. The total amount of organic carbon availability varies from winter to warming, and there are also changes in enzymes' activities. There is a vast shift in rainfall due to climate changes. The intense precipitation, runoff, erosion, and transfer of a vast number of pollutants into the groundwater affect drinking water quality. Many organisms such as animals and plants migrate to other regions, so the biological composition of natural ecosystem agriculture is modified. We cannot measure these complicated processes precisely, yet we roughly estimate these processes through the extinction of species and variation in productivity. The temperature has a pronounced effect on the distribution of various species in different geographical regions. Warming shows an impact on interspecific and intraspecific interaction. It also has an impact growth period and yield of crops. The use of future climate models enables us to understand the environmental issues and future climate changes thoroughly.