Hydrological monitoring in urban regions is crucial to analyze hydrology and manage floods. Nevertheless, monitoring flood overflow in urban areas including the degree of flood overflow is frequently insufficient. Hydrological models' ability to provide early flood warnings is limited by this...

Elucidating the mechanism of the correlation between urban spatial agglomeration processes and carbon emission levels can provide valuable scientific underpinnings for town planning under the constraints of low-carbon goals. This study investigates the characteristics of urban spatial agglomeration...

The rapid urbanization in China has led to severe agricultural non-point source pollution, threatening sustainable development. This study investigates the impact of new urbanization policies on controlling agricultural non-point source pollution and explores the underlying mechanisms. Utilizing...

Wetlands are among the most important ecosystems in the world, owing to their ecosystem characteristics. Therefore, they offer rich biodiversity in the areas where they are located. However, despite all legal regulations, wetlands are at risk both globally and in Türkiye. This risk is mainly caused...

Indoor air quality significantly impacts health and well-being, making the reduction of carbon dioxide (CO₂) concentrations essential in urban environments. The increasing concentration of carbon dioxide (CO₂) in indoor environments poses significant risks to air quality and human health. This study...

Climate change is a prime threat to human health and the environment. Carbon dioxide (CO2) emissions play a pivotal role in global warming, the greenhouse gas effect, destroys the ecosystem. This impact of climate change can be prevented with the help of a solvent-based CO2 absorption process. In...

This study investigates the dynamic relationship between climate risk indices and tourism sector performance in European and US stock markets, aiming to understand how climate-related risks affect tourism industry valuations across different quantiles and time frequencies. We apply the Quantile...

The environmental quality of rivers is a comprehensive effect of the superposition of multiple sources, and distinguishing the contribution of coal mining areas to river is an important and interesting work. In order to explore the impact of heavy metal in the sediment and to distinguish the...

The increasing problem of underwater trash and its detrimental impact on marine ecosystems necessitates effective detection and mitigation strategies. This work presents an approach for underwater trash detection by integrating the YOLOv7 deep learning model with a Flask web application. The...

This study utilizes the Time-Varying Parameter Vector Auto-Regression (TVP-VAR) Connectedness model and wavelet coherence analysis to investigate, for the first time, the dynamic connection between China's carbon market and high-tech industry. The results show an overall market Connectedness index...

Marine pollution introduces harmful substances into the ocean, affecting ecosystems, marine life, coastal communities, and the global economy. Classifying these pollutants is essential for identifying their sources and assessing their ecological impact. Computer vision techniques are used to...