Rhizosphere organic chemicals response and its role on Cr/Se adsorption are of great importance to understand Cr/Se bioavailability in Cr-contaminated soil with the application of Se. In the current work, the processes were carried out using rhizobox experiment (Brassica campestris L. ssp. chinensis Makino). The results showed that in soil contaminated by 200 mg kg⁻¹ Cr(III), Se(IV) complexed with Cr(III) and carboxylic acid (cis-9,10-Epoxystearic acid, hexadecanedioic acid) reduced Cr(VI) to Cr(III), thus increasing of Cr adsorption, furtherly decreasing Cr bioavailability. While in soil contaminated by 120 mg kg⁻¹ Cr(VI), Se(VI) competed for adsorption sites with Cr(VI) and salicylic acid activated insoluble Cr(III), thus decreasing Cr adsorption, finally increasing Cr bioavailability. Moreover, with Cr contamination, Se bioavailability in soil was enhanced by the secretion of carboxylic acid, which can reduce Se to lower valent state and compete the adsorption sites and complex with Se oxyanion. These results yielded a better understanding of rhizosphere dynamics regulating by Se application in Cr-contaminated soil. Moreover, the current study supplemented the theoretical basis for beneficial elements application as an environment-friendly resource to facilitate cleaner production in heavy metal contaminated soil.

The spatiotemporal distribution of phthalate acid esters (phthalates, PAEs) in wastewater treatment plants (WWTPs) in China was studied. The concentration of PAEs in influent and effluent increased from 2009 to 2016, indicating that the exposure level of PAEs in China increased continuously. Although the concentration of PAEs in sewage sludge in China ranged from 33.3 to 298 ug/g, there was no obvious spatial distribution pattern. Among the 19 PAE homologues, DEHP, DnBP, and DIBP were the most abundant phthalates detected in wastewater and sludge. Ecological risk assessment confirmed that there was a high chronic and acute risk of DIBP in effluent since 2015. Therefore, this study highlights the need for further studies on the exposure and toxicology of DIBP. Dietary intake accounted for more than 98% of the total risk, indicating that the risk of sludge application in agricultural land was much higher than that in nonagricultural land. The results from this study will provide valuable information for the safe disposal of sludge and wastewater.

The Duyen Hai Seaport covering more than 427 hectares of water surface is part of a Duyen Hai thermal power plant complex. In the last years, port operations can lead to impact on air, water, land, and the ecosystem. To evaluate the ecological risk caused by heavy metals at the Duyen Hai Seaport, 17 surficial sediment samples were collected along the ship flow from shoreline to the material submerged zone in April 2019. The total concentrations of some heavy metals including lead, cadmium, arsenic, copper, zinc, and mercury were analyzed by using atomic absorption spectrophotometry. The experimental results indicated that there were significant and positive correlations between various heavy metals studied. The geo-accumulation index (Igₑₒ), the potential ecological risk index (RI), and the degree of contamination (Cd) were calculated for evaluating the risks of heavy metal in sediment samples. The Igₑₒ values showed that the Duyen Hai Seaport is slightly contaminated by heavy metals, especially by Cd. Generally, the low potential risk of heavy metal was observed from the values of RI. The potential ecological risk index of heavy metals was found in the order ER (Hg)>ER (Cd)>ER (As)>ER (Pb)>ER (Zn)>ER (Cu), which revealed that Cd was the most important factor leading to the risk. These findings might be useful for making appropriate management strategies to prevent or decrease pollution by heavy metal at the Duyen Hai Seaport.

The present study aims to obtain the best modification of the hemispherical solar distillers that achieves the highest productivity with the lower inexpensive. To achieve this goal, this paper dealt with conducting a comparative study, operating performance analysis and an economic study of two different modifications, and comparing them with the reference distiller in order to obtain the best adjustments that achieve the highest productivity at the lowest cost. In the first modification, CuO nanoparticles with three different concentrations (0.1, 0.2, and 0.3%) were added to the basin water, to increase the intensity of absorbed solar energy, improve the thermal properties of basin fluid, and then increase the rate of vapor generation inside the distillation basin. In the second modification, water film glass cooling technology with three different flow rates (1.5, 2, and 2.5 L/h) was utilized to increase the water vapor condensation rate. In this experimental study, three hemispherical distillers were fabricated and tested under the same climate conditions at a 1-cm basin fluid depth, namely, conventional hemispherical solar still (CHSS), hemispherical solar still with glass cover cooling (HSS-C), and hemispherical solar still with CuO-water-based nanofluid (HSS-N). The experimental results presented that the average daily accumulative yield of CHSS is 3.85 L/m²/day, while the daily accumulative yield of HSS-N increases to 5.75, 6.40, and 6.80 L/m²/day with improvement 49.3, 66.2, and 76.6% at volume fraction 0.1, 0.2, and 0.3%, respectively. Also, the daily accumulative yield of HSS-C increases to 4.9, 5.35, and 5.7 L/m²/day with improvements of 27.3, 39, and 48% at water film flow rates of 1.5, 2, and 2.5 L/h, respectively. The cost of distilled water produced from CHSS is 0.0106 $/L, while the utilization of HSS-C (2.5 L/h) and HSS-N (0.3%) reduces the cost of distilled water to 0.0072 and 0.0066 $/L, respectively. Based on accumulative yield and economic analyzes, it is recommended that the modified HSS-N (0.3% volume fraction) be utilized to achieve the highest accumulative yield and the lowest price of the produced distilled water.

Hexachlorocyclohexane (HCH), a typical organochloride pesticide, is one of the persistent organic pollutants. Despite the ban on technical grade HCH, it has been continuously observed at a steady level in the environment. The photochemical degradation of β-HCH in snow and ice under ultraviolet (UV) irradiation was investigated in this study. The effects of pH as well as common chemical components in snow on the degradation kinetics were investigated. In addition, the photodegradation products were determined and the reaction mechanism was hypothesized. The results showed that under UV irradiation, β-HCH can be photolyzed in snow and ice, with the photochemical degradation process conforming to the first-order kinetic equation. Changing the pH and adding Fe²⁺ had minimal effect on the photochemical degradation kinetics, while the presence of acetone, NO₂⁻, NO₃⁻ and Fe³⁺ significantly inhibited the process. The addition of hydrogen peroxide slightly inhibited the photochemical degradation of β-HCH. Finally, the reaction rate, products and degradation mechanism of β-HCH in snow were compared with those in the ice phase. The photochemical degradation rate of β-HCH in snow was approximately 24 times faster than that in the ice phase. The photolysis product of β-HCH in snow was α-HCH, produced by the isomerization of β-HCH. However, in ice, in addition to α-HCH, pentachlorocyclohexene was produced by dechlorination. The results of this study are helpful in understanding the transformation of organochlorine pesticides in snow and ice, as well as in providing a theoretical basis for snow and ice pollution prevention and control.

The novel COVID-19 is a highly invasive, pathogenic, and transmittable disease that has stressed the health care sector and hampered global development. Information of other viral respiratory diseases indicates that COVID-19 transmission could be affected by varying weather conditions; however, the impact of meteorological factors on the COVID-19 death counts remains unexplored. By investigating the impact of meteorological factors (absolute humidity, relative humidity, and temperature), this study will contribute both theoretically and practically to the concerned domain of pandemic management to be better prepared to control the spread of the disease. For this study, data is collected from 23 February to 31 March 2020 for Milan, Northern Italy, one of the badly hit regions by COVID-19. The generalized additive model (GAM) is applied, and a nonlinear relationship is examined with penalized spline methods. A sensitivity analysis is conducted for the verification of model results. The results reveal that temperature, relative humidity, and absolute humidity have a significant but negative relationship with the COVID-19 mortality rate. Therefore, it is possible to postulate that cool and dry environmental conditions promote virus transmission, leading to an increase in COVID-19 death counts. The results may facilitate health care policymakers in developing and implementing effective control measures in a timely and efficient way.

This research was intended to evaluate the antidiabetic effect of single or combined administration of nanoparticles of zinc oxide nanoparticles (ZnONPs), chromium oxide nanoparticles (Cr₂O₃NPs), and selenium nanoparticles (SeNPs), on genetic and metabolic insult in fructose/streptozotocin diabetic rat model. Type 2 diabetes mellitus was induced by feeding sixty adult male albino rats with a high fructose diet accompanied by a single i.p. injection of streptozotocin (STZ). The rats were divided into 6 groups (10 rats/each) and the doses of nanoparticles were 10 mg/kg b.wt for ZnONPs, 1 mg/kg b.wt for Cr₂O₃, and 0.4 mg/kg b.wt for SeNPs. The results displayed that diabetes significantly decreased bodyweight, serum insulin, C-peptide, adiponectin levels, erythrocyte glutathione peroxidase, serum superoxide dismutase activities, high-density lipoprotein cholesterol (HDL-C), and total antioxidant capacity while causing a substantial increase in serum glucose, C-reactive protein, atherogenic index, HOMA–IR, malondialdehyde, lipid profile, interleukin-6 levels, and liver function and kidney function parameters. Furthermore, the findings showed a decrease in insulin receptor substrate-1 (IRS-1) hepatic mRNA expression level and peroxisome proliferator-activated receptor (PPAR-γ) adipocyte mRNA expression level in type 2 diabetic rats. DNA damage was confirmed by performing the comet assay. Moreover, histological observation of pancreatic and hepatic tissues was performed, which were consistent with the biochemical results. The present study confirmed that oral administration of ZnONPs, Cr₂O₃NPs, SeNPs, and their mixture improved all the biochemical and genetic parameters toward normal levels and ameliorated the diabetic consequences that were manifested by restricting cellular DNA damage which maintaining pancreatic and hepatic tissues from oxidative damage. The best reported antidiabetic effect was observed in the mixture administered group.

Drought is a complex natural disaster affected by multiple climate factors and underlying surface. In recent years, drought monitoring indices of remote sensing have been widely applied to monitor drought in a certain region or global. However, some remote sensing drought monitoring indices do not consider the drought-causing factors enough to reflect the comprehensive drought situation of a region fully. In this paper, a new remote sensing drought monitoring index, called Remote Sensing Drought Evaluation Index (RSDEI), was constructed by combining Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Precipitation Condition Index (PCI), and Soil Moisture Condition Index (SMCI) using the spatial principal component analysis (SPCA) method. The reasonableness of RSDEI was test and verified using Net Primary Productivity (NPP), Standardized Precipitation Evapotranspiration Index (SPEI), and unit area crop yield. The RSDEI was also applied to the drought condition monitoring of the northwest arid and semi-arid region from 2001 to 2019.The result demonstrated that the results showed that the RSDEI had a high correlation coefficient with SPEI-12 (R=0.85, p<0.01). It is concluded that the correlation coefficient between RSDEI and NPP is 0.74 at 95% confidence level, which indicates that RSDEI and NPP have a strong correlation. Then, the correlation between RSDEI and crop yield per unit area is 0.89. The results of RSDEI showed that the drought in northwest China started in May and lasted in September from 2001 to 2019. The lowest value of RSDEI appeared in May, which inflected the significant difference of drought level in different month in northwest China. The result of CV (coefficient of variation) showed that the drought variation in the study area had a stable low fluctuation condition as a whole, in the northwest and northeast of study area, which indicated that the changes of drought were different in the past 19 years. The Hurst exponent analysis showed that the area with the positive evolution of Hurst index (0.5<H<1) is 1,845,046.669 km²,which accounts for 75.9% of the total area, while the area with reverse evolution characteristics (H<0.5) accounts for 24.1% of the total area. The result obtained above reflected that the drought changes in most regions are better than that in the past 19 years. The trend gradually changes from drought to humid.

Denitrification in river sediments plays a very important role in removing nitrogen in aquatic ecosystem. To gain insight into the key factors driving denitrification at large spatial scales, a total of 135 sediment samples were collected from Huaihe River and its branches located in the northern of Anhui province. Bacterial community composition and denitrifying functional genes (nirS, nirK, and nosZ) were measured by high-throughput sequencing and real-time PCR approaches. Potential denitrification rate (PDR) was measured by acetylene inhibition method, which varied from 0.01 to 15.69 μg N g⁻¹ h⁻¹. The sequencing results based on 16S rRNA gene found that the main denitrification bacterial taxa included Bacillus, Thiobacillus, Acinetobacter, Halomonas, Denitratisoma, Pseudomonas, Rhodanobacter, and Thauera. Therein, Thiobacillus might play key roles in the denitrification. Total nitrogen and N:P ratio were the only chemical factors related with all denitrification genes. Furthermore, nirS gene abundance could be more susceptible to environmental parameters compared with nirK and nosZ genes. Canonical correspondence analysis indicated that NO₃⁻, NO₂⁻, NH₄⁺ and IP had the significant impacts on the nirS-encoding bacterial community and spatial distributions. There was a significantly positive correlation between Thiobacillus and nirS gene. We considered that higher numbers of nosZ appeared in nutrient rich sediments. More strikingly, PDR was positively correlated with the abundance of three functional genes. Random forest analysis showed that NH₄⁺ was the most powerful predictor of PDR. These findings can yield practical and important reference for the bioremediation or evaluation of wetland systems.

Groundwater pollution is a serious problem in north China. However, the study on the vulnerability of karst groundwater is mainly in south China, and there are few studies in north China. To study the applicability of different models of karst areas in north China, this paper chose a special study area—Hebi City, where the exposed karst area is widely developed in the hilly area, but the covered karst area is in the eastern part of the study area. The DRASTIC model, the AHP-DRASTIC model, and the improved COPK model were adopted to evaluate the vulnerability of shallow karst groundwater in Hebi City. Cl⁻, SO₄²⁻, NO₃⁻, and TDS were selected to verify the rationality of the evaluation results. It shows that the improved COPK model is more suitable for the shallow karst groundwater vulnerability evaluation in the karst areas in northern China represented by the study area than the other two. The study area was divided into 4 classes by the improved COPK model: highest (14.07%), high (53.05%), low (21.37%), and lowest (11.51%). Then, the analytic hierarchy process and comprehensive index model were used to evaluate the groundwater pollution load intensity, and the study area was divided into 3 classes: high (23.33%), moderate (64.66%), and low (12.01%). According to the analysis of the relationship between groundwater pollution load intensity and groundwater quality, it can be found that human activities have an obvious influence on groundwater quality in the study area. Finally, combined with human activities, the study area was divided into 3 remediation areas, 1 control area, and 1 protected area. This paper can provide a scientific basis for rational exploitation and utilization of groundwater resources. It can also provide a reference for future generations to evaluate the groundwater vulnerability in the northern China karst areas.