The applications of TRIX-based indices are more effective methods to understand the source, transport of contamination and its effect on the ecosystem. In the present study, the changes to the trophic status of Pulicat lagoon over a decadal scale using multiple annual and seasonal datasets for the...

In recent years, there has been an increase in the earth's temperature due to the emission of CO 2 which causes global warming. With a 1.9°C temperature increase predicted by the Intergovernmental Panel on Climate Change, reducing of CO 2 is essential for all living species. Therefore, finding novel...

Climate change significantly threatens global ecosystems and human societies, necessitating innovative strategies for mitigation and adaptation. This study addresses the problem of increasing climate vulnerability by investigating the role of ecosystem-based adaptation (EbA) in enhancing resilience...

The present investigation aims to study the performance and emission characteristics of a CI DI diesel engine using biodiesel blends derived from Jatropha seed feedstock. Four blends, namely B25, B50, B75, and B100, are employed as fuels to run the diesel engine at a rated speed of 1500 rpm, and...

Eco-sensitive Coastal Solar Saltpan (CSS), also known as Saltpan, provides many essential ecological and societal functions. However, changes in coastal saltpan land use resulted in the loss of salt production activities and impacted the socio-economic status of salt workers along the coast of Tamil...

Since hydrogen gas is a plentiful element in the universe, using it as fuel for IC engines has the potential to reduce pollution while also improving the engine performance. Hydrogen gas as fuel has many advantages, including a high energy density, a rapid flame speed, clean burning, and a short...

The Chinese industry holds a significant position in the national economy. However, industrial carbon dioxide (CO 2) emissions account for a large proportion of the total CO 2 emissions, which has a negative impact on the environment. To identify the factors affecting industrial CO 2 emissions, a...

This study employs a dynamic fuzzy-set qualitative comparative analysis (fsQCA) approach, utilizing panel data from 121 low-carbon pilot cities in China from 2007 to 2019. Grounded in complex systems theory and the triple bottom line framework (Economy-Society-Environment), the research aims to...

The driving force of new quality productivity comes from innovation, and breakthrough green technology innovation is its important engine. Breakthrough green technology innovation is the core driver of new quality productivity, and it is an important support to promote and develop new quality...

Due to the increasing global energy demand and consequent climate change from burning fossil fuels, researchers are getting more focused on renewable energies as a potential solution to the world's energy problems. Solar energy is a prominent form of sustainable energy. The solar photovoltaic power...

As China's economic and social development enters a new growth stage, urban green transformation has gradually become an important means to promote high-quality development. In order to explore the effective methods of the impact of China's digital economy development level on the efficiency of...

This study explores the impact of industrial co-agglomeration on urban carbon emission efficiency in Shandong Province from China during 2007 to 2020. The moderating effect model is constructed to explore the role green finance in the impact of industrial co-agglomeration on urban carbon emission...

Reducing carbon emissions is one of the important ways to achieve the goal of "dual carbon". Taking carbon emission intensity as the research object, this paper analyzes the spatial effects of carbon emission intensity at provincial level in China during 2005-2022 by kaya extended model, standard...

With the accelerated global warming and the continuous rise of sea level, drastically reducing carbon emissions has gradually become a necessary action for major industrialized countries. Based on the panel data of Chinese cities from 2011 to 2022, this paper empirically examines the heterogeneous...

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...