Li Li Curriculum Vitae.
Up-to-date publications from our group are at google scholar.
Recent review papers on water quality:
- River water quality shaped by land-river connectivity in a changing climate (Li et al., 2024, Nature Climate Change)
- Deep learning for water quality (Zhi et al., 2024, Nature Water)
Media Coverage:
Some of our papers have been extensively covered by media and increased the public awareness of climate change inpacts on water quality . For example, the paper "widespread deoxygenation in warming rivers" The paper on widespread deoxygenation in warming rivers (Zhi et al., 2023. Nature Climate Change 13,1105–1113) has been covered extensively by media (based on data analysis from Office of Strategic Communications at Penn State): > 7 million media impressions; featured in outlets nationally and internationally, including New Scientist, Newsweek, EoS, Scripps News, EurekAlert, ScienceDaily, phys.org, The Freshwater Blog, ABC27 (Harrisburg, PA), Deutschlandfunk , as well as dozens of other outlets. The story piece in The Conversation received > 6,000 reads and was republished by > 20 news outlets. Penn State release was viewed > 24,000 times on EurekAlert, a database for journalists.
Recent Key Ideas + Papers:
I. Continental-scale patterns (deep learning, Long short-term memory (LSTM))
1. Widespread deoxygenation in warming rivers
(Zhi et al., 2023, Nature Climate Change)
2. From hydrometeorology to river water quality
(Zhi et al., 2021, Environmental Science & Technology)
3. Temperature outweighs light and flow as the predominant as the
predominant driver of dissolved oxygen in US rivers
(Zhi et al, 2023, Nature Water)
II. Continental scale processes and patterns:
1. Climate controls on river chemistry (Li et al., 2022; Earth's Future)
2. Soil CO2 controls short‐term variation but climate regulates long‐term
mean of riverine inorganic carbon
(Stewart et al., 2022, Global Biogechemical Cycles)
3. High dissolved carbon in arid Rocky Mountain streams
(Kerins and Li, 2023, Environmental Science & Technology)
III. Watershed-scale processes:
1. The shallow and deep hypothesis
(Zhi et al., 2020, Environmental Science & Technology)
(Stewart et al., 2022, Water Resources Research)