Zimmermann Bak (pipemirror19)

79% of carbon emissions, and 5.26 × 106 Mg of carbon emissions from methane emissions accounted for 46.66%. Carbon emissions from explosives and electricity use were 4.1 × 105 Mg and 8.8 × 105 Mg, respectively. In this mining area, the factors influencing carbon emissions included population, GDP, and coal output. The results of this study not only provide a reference for cleaner production in mining areas but also lay a foundation for the study of global opencast coal mining carbon emissions.The study empirically examines the environmental Kuznets curve (EKC) hypotheses by investigating the relationship between ecological footprint, economic growth, energy consumption, and population growth. The study uses ecological footprint as a measurement of environmental degradation which is a more comprehensive indicator and considers all factors responsible for environmental degradation. Keeping in view the problem of cross-sectional dependence, a more efficient estimation tools like pooled mean group and augmented mean group have been used to estimate the long-run parameters for 22 European countries from 1995 through 2015. Results of the study found a quadratic relationship between income growth and ecological footprint and support validity of EKC. Energy consumption positively contributes to ecological footprint, while population growth plays no significant role in determining environmental quality. The long-run estimates of the study are validated through robustness analysis by employing dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) techniques. Dumitrescu and Hurlin (2012) panel non-causality test indicated that there is a unidirectional causality running from GDP to ecological footprint while bidirectional causality running between energy consumption and ecological footprint. The study identified that population growth in European region is not a severe issue as compared to intensive energy consumption. Policies which restrict emission, deforestation, and water pollution should be adopted for sustainability of environment.The increasing demand for minerals pressurizing the mining authorities to extract low-grade ore results in more mining waste and degradation of the environment. The main aim of review was to understand the role of climatic factors (temperature, wind, and precipitation) in dispersal and mobility of heavy metals in soil, water, and vegetation in Cu mining region. The major source of contamination in the mining sector is tailings, overburden rocks, and abandoned mines. The contaminates or fine particles of sulfide-rich mining waste follow two major pathways for the dispersal aerial and leaching. Selleckchem Motolimod Sulfides on exposure to oxygen and water generate acid mine drainage which results in leaching of heavy metals. The pit water of abandoned mines is also a cause of concern which contaminates the groundwater resources. Climatic factors such as temperature, precipitation, and wind significantly influence the paths of contaminate dispersal. In arid/semi-arid regions, high temperature forms fine-grained efflorescence salts on tailings or exposed surficial mines which are carried away by strong winds/water and contaminates the surroundings. In wet regions, the leaching of heavy metals from both tailings and overburden rocks sulfides results in environmental contamination. The application of impermeable layers is highly recommended. The climatic factors (temperature, wind, and precipitation) significantly control the dispersal and mobility of heavy metals in Cu mining region. The implementation of waste management policies and pollution control technologies is recommended after considering the climatic factors.The goal of this study was to identify antibiotics with potential risk in river water of the megacity Beijing, China. This was accomplished by using a tiered approach that combined hazard (phase I) and monitoring-based risk (phase II) assessment. Ninety-five