Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area (GORSCAC)

GORSCAC, jointly established by SUSTech and Shenzhen National Climate Observatory, is SUSTech’s first field scientific&n

Shenzhen Key Laboratory of Soil and Groundwater Pollution Control

Shenzhen Key Laboratory of Solid Waste Pollution Control

Li Tao

Water Industry Technology Innovation Model, Driving Force and New Idea

Researchers achieve significant advancements in mechanisms by which unsaturated zone affects groundwater dynamics

The unsaturated zone, a crucial transition zone linking surface and subsurface flow, plays a significant role in quantifying the hydrological processes of watersheds. However, due to the nonlinearity, traditional groundwater models often neglect its

Researchers quantify impacts of precursor emissions on PM2.5 and O3 attributable health burden

Air pollution, particularly from fine particulate matter (PM2.5) and ozone (O3), poses serious health risks, causing respiratory and cardiovascular diseases that lead to premature deaths. Despite global efforts to manage air quality, millions still f

Researchers highlight molecular-level carbon traits underlying multidimensional fine-root economics space

Carbon, a fundamental constituent of terrestrial life, has long captivated attention due to its pivotal role. While previous focus centered on the total carbon content in plant tissues, scant attention was paid to the composition, abundance, and dive

Researchers reveal climate extremes cause record-breaking wildfire emission in boreal forest in 2023

In the context of global warming, frequent extreme weather events like droughts, high temperatures, and wildfires threaten the vital carbon-storing role of northern coniferous forests.Understanding the mechanisms driving these extreme wildfire events

Researchers successfully implement distributed hydrological modeling in deep neural networks

In recent years, with the accumulation of Earth’s big data, data-driven methods represented by deep learning have surpassed traditional hydrological models in simulation accuracy. Still, the black-box nature and lack of physical mechanisms have limit

Researchers highlight urgent need for improved modeling of evapotranspiration sensitivity to vegetation change

Concerns regarding the interactions between vegetation and climate extend over a century and endure in the present era. Acting as biotic pumps, vegetation transports water from the land and releases moisture into the atmosphere through evapotranspira