Soil moisture heavily influences the energy exchange between land and the atmosphere, and it plays an important role in ecological systems. Quantitatively acquiring soil moisture information is important for agricultural production, ecological protection and other processes. The current range of...

With the serious challenge of global climate change, the Chinese government has proposed the "dual carbon" goals. In this context, the importance of green logistics as an effective way to reduce emissions in the transportation industry is becoming more and more prominent. This paper aims to explore...

Air pollution poses significant threats to ecosystems, atmosphere, and the health of both humans and wildlife. It is primarily caused by industrial and chemical pollutants, leading to deterioration in air, water, and soil quality. As a result, effective air quality monitoring is crucial for...

Exploring the spatial correlation network structure of provincial livestock carbon productivity and its driving factors can provide new policy perspectives for realizing the synergy of regional pollution and carbon reduction. This study constructs 2006-2021 panel data models by social network...

Under the background of China's “double carbon” goal, digital economy has become an important way to reduce carbon emissions in China. This paper utilizes the provincial panel data of China from 2012 to 2022, introduces the perspective of agricultural science and technology innovation, empirically...

With the increasing awareness of sustainable development, the ESG performance has become a focal point for both companies and their stakeholders. This study, Chinese A-share listed companies as an example, constructs a sample of paired enterprises and customers to examine the impact of customer ESG...

In recent days air quality has been very poor in urban society due to a lot of industries, vehicles and so on. To overcome poor quality, an air quality prediction is much needed to manage an urban area and control pollution. In this article, deep learning (DL) namely a Modified Gated Recurrent Unit...

Monitoring air quality in polluted environments is crucial for human health, but traditional methods using meteorological equipment have limitations in complex terrains and are costly. This study proposes a novel approach to address air pollution monitoring in urban areas by visually assessing the...

Toluene is a monocyclic aromatic compound that finds widespread use in various industrial processes. Due to its harmful effects on human health and environment, this study aimed to remove toluene from the air stream using a two-phase bioscrubber. The bioscrubber design consisted of an absorption...

In this paper, the provincial panel data of china from the year 2006 to 2019 are used to analyze the association among environmental regulations, industrial structure od industries and low-carbon development. The results show that regional industrial CO2 emissions in China's east, center, and west...

Predicting air pollution using environmental data assessment parameters becomes increasingly significant amid growing fears about climate change and the sustainability of urban areas. The use of sophisticated deep learning (DL) methods to model the intricate relation among these variables represents...