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The low‐temperature performance and ability to withstand SO2 poisoning of catalyst are crucial factors in evaluating the NH3‐SCR technology. In this study, honeycomb activated carbon loaded with Mn−Ce−Co catalysts was prepared using the citric acid complex impregnation method, simple impregnation and citric acid pre‐oxidation methods for low‐temperature NH3‐SCR. The synergistic effect of citric acid and ternary metals results in catalysts prepared by the citric acid complex impregnation method exhibiting excellent redox properties and a high abundance of acidic sites. By increasing catalyst acidity and introducing CeO2 sacrificial sites, the catalytic performance was improved, resulting in weaker adsorption capacity of the catalysts for SO2, enhancing SO2 tolerance. The catalyst demonstrated 100 % NOx removal at 160 °C which remained stable even after a 100 ppm SO2 pass for four hours. In addition, the catalyst showed good CO oxidation performance, with 78 % CO removal at 170 °C, which broadened the application scenario of the catalyst. This study highlights the denitrification effect of activated carbon supported Mn−Ce−Co ternary metal oxide catalysts and reveals the potential of multiple coupled approaches in improving the sulfur resistance of the catalysts. [ABSTRACT FROM AUTHOR]

Analyzing the changes in vegetation under different factors is crucial for ecological protection in arid areas. The spatial-temporal variations of vegetation in the lower reaches of the Tarim River (LRTR) from 2000 to 2020, were analyzed using the Theil-Sen estimator and the Mann-Kendall test. The future trends of NDVI are projected to use the Hurst exponent method. The driving mechanisms of vegetation changes were analyzed using the GeoDetector method and multivariate residual analysis. The NDVI values in the LRTR significantly increased during the study period, indicating good vegetation recovery. The overall vegetation level remains poor and was primarily concentrated around the riverine areas. There is still a risk of vegetation degradation in most areas of the future LRTR. Compared to climate change, vegetation was more affected by human activities. Human activities have helped restore the riparian vegetation and prevented the degradation of vegetation far from the river. Therefore, distance from river channels is the strongest explanatory factor (q = 0.078) for vegetation changes, followed by precipitation, and temperature, while changes in slope have minimal impact on vegetation. Statistics have found that when two factors are combined, their impact on vegetation change is stronger. These findings are beneficial for identifying vegetation evolution patterns in LRTR and providing theoretical support for the government to carry out ecological restoration. [ABSTRACT FROM AUTHOR]

This article explores the application of Internet of Things technology in intelligent green buildings through empirical research, and analyzes its practical effects in improving building energy efficiency and reducing carbon emissions. The study adopted data collection and analysis methods, and the experimental results showed that IoT technology can effectively optimize building energy management and achieve low-carbon development goals. This article designed four experiments to explore the application of Internet of Things technology in the design and management of intelligent green buildings. In the energy consumption comparison experiment, after the implementation of the Internet of Things system, power consumption decreased from 1000 kWh/day to 800 kWh/day, water usage decreased from 650 liters/day to 500 liters/day, and natural gas consumption decreased from 400 meters ³/ Days reduced to 300 meters ³/ Heaven. In the indoor environmental quality monitoring experiment, after implementing the Internet of Things system, the average indoor temperature was maintained at 22°C, humidity was 50%, and CO2 concentration was reduced to 600 ppm. In the response efficiency testing experiment of the automation control system, the average response time of the system was 2 seconds, and the response accuracy reached 90%. In the final economic benefit analysis experiment, the total savings within one year after implementing the Internet of Things system reached 12267 US dollars. From the data conclusion, it can be seen that IoT technology can not only improve the energy and environmental management efficiency of buildings, but also have significant economic benefits, providing strong support for the development of green buildings. [ABSTRACT FROM AUTHOR]

In this study, the carbon-doped bimetallic organic framework C60/MIL-101(Fe,Cu) catalyst was prepared for the first time via solvothermal synthesis method. The catalysts were characterized using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), and a series of other instruments. At the same time, methylene blue (MB) was used as the target degradation material to investigate the catalytic performance of H2O2 for MB degradation under visible light. The degradation experiment showed that the removal rate of C60/MIL-101(Fe,Cu) to MB reached 99.2% within 80 min. Furthermore, cyclic experiments demonstrated good stability and reusability of the catalyst. Finally, the degradation mechanism of the reaction was deduced by quenching experiment, UV–vis diffuse reflection and mott-Schottky plots. The results show that hydroxyl radical (·OH) and superoxide radical (·O2−) play a major role in the degradation of MB during photo-Fenton process. [ABSTRACT FROM AUTHOR]