Reeseblankenship2993

53kgN ⋅ ha-1 ⋅ yr-1); WRF-Chem has the highest value of RDN on the urban (8.91 ± 6.44kgN ⋅ ha-1 ⋅ yr-1) and water bodies (1.01 ± 1.44kgN ⋅ ha-1 ⋅ yr-1) while EMEP is highest in cropland/grassland (3.42 ± 3.43kgN ⋅ ha-1 ⋅ yr-1) and forest (2.34 ± 1.94kgN ⋅ ha-1 ⋅ yr-1). CMAQ is in medium range for both OXN and RDN simulations on each ecosystem. Compare with the critical loads, CMAQ generates more exceeded critical load areas than WRF-Chem and EMEP on cropland/grassland and forests ecosystem. https://www.selleckchem.com/products/homoharringtonine.html For water bodies, WRF-chem and CMAQ showed higher exceeding critical load areas than EMEP. In summary, EMEP generally underestimates while the CMAQ and WRF-Chem model would overestimate the impacts on the ecosystems. So, policy implementation needs special attention accounting the difference of simulation effect with different models. It has been demonstrated that antibiotic resistance could be induced and selected under high antibiotic concentrations in biological wastewater treatment systems. However, little is available regarding the minimum concentrations of antibiotics for selecting antibiotic resistance during wastewater treatment. Herein, the minimum influent concentrations of oxytetracycline, streptomycin, and spiramycin in selecting antibiotic resistance in biofilm type wastewater treatment systems were investigated by spiking respective antibiotic into wastewater with an antibiotic dose increasing from 0 to 0.1, 1, 5, 25, 50 mg/L stepwise over a period of 606 days. Significant increase (p  less then  .01) in the total abundance of antibiotic resistance genes was observed for both streptomycin and oxytetracycline at a dose of 0.1 mg/L according to metagenomic sequencing, while the concentration levels leading to significant increases (p  less then  .05) in resistant bacteria ratio were higher 5 mg/L for streptomycin and 25 mg/L foic production wastewater. It is well-known that El Paso is the only border area in Texas that has violated national air quality standards. Mobile source emissions (including vehicle exhaust) contribute significantly to air pollution, along with other sources including industrial, residential, and cross-border. This study aims at separating unobserved vehicle emissions from air-pollution mixtures indicated by ambient air quality data. The level of contributions from vehicle emissions to air pollution cannot be determined by simply comparing ambient air quality data with traffic levels because of the various other contributors to overall air pollution. To estimate contributions from vehicle emissions, researchers employed advanced multivariate receptor modeling called positive matrix factorization (PMF) to analyze hydrocarbon data consisting of hourly concentrations measured from the Chamizal air pollution monitoring station in El Paso. The analysis of hydrocarbon data collected at the Chamizal site in 2008 showed that approximately 25% of measured Total Non-Methane Hydrocarbons (TNMHC) was apportioned to motor vehicle exhaust. Using wind direction analysis, researchers also showed that the motor vehicle exhaust contributions to hydrocarbons were significantly higher when winds blow from the south (Mexico) than those when winds blow from other directions. The results from this research can be used to improve understanding source apportionment of pollutants measured in El Paso and can also potentially inform transportation planning strategies aimed at reducing emissions across the region. Microplastics (MPs) are less than 5 mm, and have significant implications for the environment. As a new type of environmental pollutant, MPs have increasingly attracted the attention of scientists and have led to marked increases in both public and political awareness. However, their distribution and fates in the terrestrial environment are limited. We investigated the distribution and characteristics of MPs in the agricultural soils of Shaanxi Province, a typical agricultural province in China. We found evidence that 100% of agricultural soils contained MPs. The concentration of MPs in the soil ranged from 1430 to 3410 items/kg. Fibers and small-sized particles (0-0.49 mm) were the predominant type and size, respectively. Polystyrene (PS), polyethylene (PE), polypropylene (PP), high-density polyethylene (HDPE), polyvinyl chloride (PVC) and polyethylene terephthalate (PET) particles were identified in agricultural soil. Furthermore, the abundance of microplastics in agricultural soil is closely related to the planting type of soil and climatic factors. The results from this study confirmed the presence of a high abundance of MPs in agricultural soil, and proved that agricultural activities might have caused MP contamination in soil. Microorganisms are able to colonise a wide range of extreme environments, including nuclear facilities. In this study, the First Generation Magnox Storage Pond (FGMSP) a high pH, legacy spent nuclear fuel pond (SNFP) situated at Sellafield, Cumbria, UK, was studied. Despite the inhospitable conditions in the FGMSP, microorganisms can cause "blooms" within the facility which to date have not been studied. These microbial blooms significantly reduce visibility in the engineered facility, disrupting fuel retrieval operations and slowing decommissioning. The microbial community colonising the pond during two microbial bloom periods was determined by using physiological measurements and high throughput next generation sequencing techniques. In situ probes within the ponds targeting photosynthetic pigments indicated a cyanobacterial bloom event. Analysis of the 16S rRNA gene data suggested that a single cyanobacterial genus was dominant during the bloom events, which was most closely related to Pseudanabaena sp. Comparisons between the microbial community of FGMSP and an adjacent SNFP that is periodically purged into the FGMSP, showed different community profiles. Data confirm the onset of the microbial blooms occurred when the pond purge rate was reduced, and blooms could be controlled by re-establishing the purging regime. link2 The presence of Pseudanabaena sp. link3 that can colonise the pond and dominate during bloom periods is notable since they have received little attention for their role in cyanobacterial bloom formation. This work also informs bioremediation efforts to treat waters contaminated with radionuclides, which could benefit from the use of cyanobacteria able to tolerate extreme environments and accumulate priority radionuclides. Agricultural practices of no-till and crop rotations are critical to counteract the detrimental effects of monocultures and tillage operations on ecosystem services related to soil health such as microbial N cycling. The present study explored the main steps of the microbial N cycle, using targeted gene abundance as a proxy, and concerning soil properties, following 19 and 20 years of crop monocultures and rotations of corn (Zea mays L.), and soybean [Glycine max (L.) Merr.], either under no-till or chisel tillage. Real-time quantitative polymerase chain reaction (qPCR) was implemented to estimate phylogenetic groups and functional genes related to the microbial N cycle nifH (N2 fixation), amoA (nitrification) and nirK, nirS, and nosZ (denitrification). Our results indicate that long-term crop rotation and tillage decisions affect soil health as it relates to soil properties and microbial parameters. No-till management increased soil organic matter (SOM), decreased soil pH, and increased copy numbers of AOB (ammonia oxidizing bacteria). Crop rotations with more corn increased SOM, reduced soil pH, reduced AOA (ammonia oxidizing archaea) copy numbers, and increased AOB and fungal ITS copy numbers. NirK denitrifier groups were also enhanced under continuous corn. Altogether, the more corn years included in a crop rotation multiplies the amount of N needed to sustain yield levels, thereby intensifying the N cycle in these systems, potentially leading to acidification, enhanced bacterial nitrification, and creating an environment primed for N losses and increased N2O emissions. Increasing demand for water is one of the most challenging problems that human societies face today and has encouraged new studies to examine water security and water management. Seeking to discuss this important issue in the Brazilian context, we analyzed the impacts of urban expansion on water security in a basin located in the most populated region of Brazil. To quantify increased water demand, we combined urban sprawl and regional population increase projections. In this context, our study contributes to discussions on water security by addressing the importance of integration between water and urban planning. Simulations indicate good performance in reproducing actual water system conditions. The finding demonstrates that urban expansion in the region is mainly driven by road proximity. Urban occupation is projected to increase in 170% by 2050, increasing water demands for domestic use in 38%. Results indicate the feasibility of including landscape and socioeconomic constrains in order to obtain potential domestic water demand scenarios by using land use and land cover change modelling to assess urban expansion and population growth. For the study region, our findings suggest that although urban sprawl increases water demand, urban supply will not be compromised given the large volume of available water in the basin. However, the indirect consequences of urban sprawl, such as industrialization and agricultural intensification, may compromise the quality of this resource and require better water use management in the region. One year of online total gaseous mercury (TGM) measurements were carried out for the first time in Lanzhou, a city in northwest China that was once seriously polluted. Measurements were made from October 2016 to October 2017 using the Tekran 2537B instrument, and the annual mean concentration of TGM in Lanzhou was 4.48 ± 2.32 ng m-3 (mean ± standard deviation). TGM concentrations decreased during the measurement period, with autumn 2017 average concentrations 2.87 ng m-3 lower than autumn 2016 average concentrations. Similar diurnal variations of TGM were obtained in different seasons with low concentrations observed in the afternoon and high concentrations at night. The principal component analysis and conditional probability function results revealed that the sources of mercury were similar to the other atmospheric pollutants such as SO2, CO, NO2 and PM2.5, and were mainly from industrial combustion plants in urban districts. Concentration weighted trajectory analysis using backward trajectories demonstrated that higher mercury concentrations were related to air masses from adjacent regions, indicating the importance of influences from local-to-regional scale sources. A synthesis of multi-decadal atmospheric mercury measurements in Lanzhou and other Chinese megacities revealed that atmospheric mercury concentrations were either generally stable or experienced a slight decrease, during a time when China implemented control measures on atmospheric pollution. Long-term atmospheric mercury observations in urban and background sites in China are warranted to assess mercury pollution and the effectiveness of China's mercury control policies.