Lakes are globally important sources of atmospheric methane (CH4), yet a process‐based understanding of their emissions and drivers at regional scales remains limited. Here we developed and applied a one‐dimensional lake model to 42,948 natural lakes across the contiguous United States (CONUS). Simulations indicate tha...
Chunqi Shen, P. Raymond· Geophysical Research Letters· 0 citations
Peak summer surface ozone (O3) threatens human health, crop productivity, and ecosystem stability in eastern China, but similar O3 trends may reflect contrasting anthropogenic drivers. Using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and the Multi-Resolution Emission Inventory for Chin...
Yong He, Tian Yang, Li Yu· Atmosphere· 0 citations
Hydropower reservoirs, long considered as a clean energy solution, are increasingly recognized as major greenhouse gas (GHG) emissions hotspots. However, over 97% of these hydropower reservoirs remain unmonitored, creating major uncertainties in global GHG budgets. Here, machine learning models were employed to predict...
Xin Liu, W. Wong, S. Poh et al.· Global Biogeochemical Cycles· 0 citations
The wet deposition of atmospheric mercury (Hg) transfers Hg to terrestrial and aquatic ecosystems, yet China lacks spatially consistent, long-term monitoring, a critical gap given its high and spatially heterogeneous anthropogenic Hg emissions. We compiled candidate observations from 58 published studies at 120 coordin...
Xi Cheng, Zhi-Hao Zeng, Jia-Qi Wu et al.· Toxics· 0 citations
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