Long-term exposure to high concentrations of fine particles can cause irreversible damage
to people's health. Therefore, it is of extreme significance to conduct large-scale continuous …

Digital bottom models are commonly used in many fields of human activity, such as
navigation, harbor and offshore technologies, or environmental studies. In many cases, they …

Carbon storage plays a pivotal role in addressing climate change, maintaining ecological
equilibrium, and fostering sustainable development. Gansu Province, situated in the arid to …

High-resolution, high spatiotemporal continuity, and high-precision temperature data (3H
Ta) are essential for understanding local to global climate change and for studying urban …

In recent years, air pollution events have been frequent and machine learning models have
been widely used in research on long-term and short-term PM 2.5 concentration prediction …

Air pollution, especially the synergistic pollution of PM2. 5 and O3, poses a severe threat to
human life and production. The synergistic formation mechanism of PM2. 5 and O3 pollution …

Online car-hailing is gradually shifting towards a predominant use of electric vehicles, a
change that is advantageous for developing a sustainable society. Understanding the …

Air quality degradation has triggered a large-scale public health crisis globally. Existing
machine learning techniques have been used to attempt the remote sensing estimates of …

Sensor-based air monitoring instruments (SAMIs) can provide high-resolution air quality
data by offering a detailed mapping of areas that air quality monitoring stations (AQMSs) …

More than half of the global population lives in urban areas, which can cause the
phenomenon known as Urban Heat Island (UHI). UHI is a phenomenon where urban areas …