Engineering solutions for environmental protection, including water and wastewater treatment, air pollution control, solid waste management, remediation technologies, and sustainable engineering design
6 papersThis life-cycle assessment suggests nuclear district heating could have significantly lower greenhouse gas emissions than fossil fuels and be comparable to biofuels, with an estimated 2.4 gCO2eq/kWh. However, substantial uncertainties exist regarding the emissions from plant construction, and the emissions calculations for electric heating and heat pumps likely underestimate the true impact.
The paper describes updates and planned improvements to the Sensitivity Analysis Library (SALib) in Python, focusing on increased accessibility and interpretability of global sensitivity analysis results. Key advancements include a new object-oriented interface, parallel processing capabilities, improved documentation, and an active community of practice contributing to the library's development.
This study provides a comprehensive account of China's CO2 emissions for 2016 and 2017, covering 30 provinces and 47 economic sectors. The data reveals variations in emission levels and intensities across provinces, with Shandong, Hebei, and Jiangsu as the top emitters, and highlights the continued dominance of coal in China's energy mix.
This paper describes PALM 6.0, a significantly improved atmospheric and oceanic modeling system with enhanced capabilities for simulating urban environments, clouds, and wind turbine effects. The model incorporates interactive land surface and radiation schemes, chemistry, an indoor model, and improved numerical methods, enabling detailed simulations of complex atmospheric processes.
This paper proposes a hybrid CNN-LSTM model for forecasting PM2.5 concentrations in Beijing using one week of historical air quality and meteorological data. The model outperforms univariate and traditional LSTM models in terms of accuracy and training time, but the study suffers from some methodological weaknesses.
GEDI is a new spaceborne instrument that has been specifically designed to measure vegetation structure using a multi-beam laser altimeter/waveform lidar. The GEDI science objectives are to quantify the aboveground carbon balance of forests, predict the role of forests in mitigating atmospheric CO2, and assess the effects of ecosystem structure on habit quality and biodiversity.