Eliasenbritt4948

In the globalizing world, many factors such as rapidly increasing population, production and consumption habits, and economic growth cause climate changes. The carbon footprint is a measure of CO2 emissions released into the atmosphere, which increases day by day, causing glaciers to melt and increase sea level, reduce water resources, and global warming. selleck screening library For Turkey, as a country trying to complete its economic development, signed international agreements such as the Paris Climate Agreement and Kyoto Protocol to reduce the carbon footprint give great importance to the studies estimating carbon footprint and making policies to reduce it. For this reason, in this study it is aimed to estimate the greenhouse gas emissions of Turkey in the year 2030 and to determine its damages to the economy. Time series forecasting algorithm in the WEKA data mining software was used for analysis, and population, gross domestic product, energy production, and energy consumption were used as independent variables. As a result of analysis using data from the years 1990-2017, as long as Turkey continues its course of gradually increasing the amount of current greenhouse gas emissions in the year 2030, 728.3016 metric tons of CO2 equivalent will be reached. It appears that these estimates remain below the rate of Turkey's commitments at the Paris Climate Agreement that is considered to be promising for Turkey. However, the estimations in other studies should not be ignored; policy makers should determine policies accordingly.The metals used in textile wet processing are of significant concern for the environment and human health. However, our understanding of metals released by the Chinese textile industry and their potential risks to ecology is limited. This work quantified the concentrations of seven metals in 199 wastewater samples from 77 textile enterprises in the southeastern coastal area of China. In the water discharged after end-of-pipe treatment, the mean concentrations of Sb, Hg, Fe, Mn, Zn, Cr, and As were 0.289, 0.009, 0.579, 0.277, 0.035, 0.016, and 0.013 mg/L, respectively. Alkali deweighting effluents, dyeing effluents, and influents into regulation tanks were observed to be "hotspots" for metal distributions. Among the seven target metals, only Sb was found to be significantly correlated with COD, NH3-N, TN, and TP. The results of one-way ANOVA suggested that the Sb mainly came from the processing of polyester fibers. Overall, the majority of discharged wastewater samples were at safe levels, according to six health indicators. Sb posed elevated risks in comparison to other elements, which necessitated further concern. The findings can help decision-makers prevent hazardous metal contamination in the textile and dyeing industry, and provide a basis for the further study of the mechanisms of metal migration in the environment.Low-permeability media such as clay appear in nearly all hydrogeological systems. To date, although significant efforts have been put forward by hydrologists, transport mechanism is still not well understood in such media, especially in an aquifer-aquitard system. In this study, two-dimensional experiments of groundwater flow and solute transport were conducted in a clay-sand two-layer system to investigate the characteristics of flow and transport in such a system. Sodium chloride (NaCl) (a conservative tracer) from a tank was injected after passing by the pre-inlet reservoir where the mixing effect and flow transiency were analyzed. A new numerical model considering the mixing effect and flow transiency was developed to interpret the experimental data based on the finite-element COMSOL Multiphysics platform. Transport parameters were assessed by best fitting the observed breakthrough curves (BTCs). Several important results were obtained. Firstly, aquitard advection was found to be non-negligible and should be considered in a proper mathematical model for describing the transport process. Secondly, advective velocities were temporally variable and showed decreasing trends in the sand and clay layers, mainly due to the impacts of physical and biological clogging. Thirdly, the mixing effect in the pre-inlet reservoir led to a lower tracer concentration in the sand layer at early times. Finally, the observed BTCs exhibited early arrivals in the clay layer, possibly resulting from preferential flow pathways. These findings can provide hints for contamination remediation works in aquifer-aquitard systems.It is generally recognized that dispersal mode can affect the relative role of environmental and spatial factors in structuring biotic communities. Disentangling the effects of dispersal mode on metacommunity structuring is essential to understanding the mechanisms of community assembly. Despite high seasonal variation in assemblage structure and phenological features of lotic macroinvertebrates, few studies examined the seasonal changes in the relative contribution of environmental and spatial processes. Here, we used two-season (spring and autumn) investigation data to link dispersal mode with local environmental and spatial factors that regulate macroinvertebrate metacommunity in a Chinese high-mountain stream network. Our aims were (1) to disentangle the relative role of environmental and spatial processes on structuring macroinvertebrate with different dispersal ability (aquatic passive AqPa, terrestrial passive TePa, and terrestrial active TeAc) and (2) to determine seasonal shifts in metacommunity structuring processes. We found that assemblages of TeAc (with highest dispersal capacity) in both seasons were influenced more by environmental filtering than spatial structuring, whereas assemblages of TePa were mainly determined by spatial processes. Unexpectedly, AqPa group showed low spatial control in both seasons, probably due to their underestimated dispersal capacity via animal vector. The relative role of environmental and spatial factors was broadly stable across two seasons for AqPa and TeAc groups, but the TePa showed seasonal differences in the relative role of spatial factors, because of their seasonally changing dispersal capacity. In summary, our study emphasizes the use of dispersal mode for understanding metacommunity structuring mechanisms.