Wenpan Li

ORCID: 0009-0004-9441-0015
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About
Contact & Profiles
Research Areas
  • Water Quality and Pollution Assessment
  • Soil and Water Nutrient Dynamics
  • Fish Ecology and Management Studies
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Environmental Toxicology and Ecotoxicology
  • Heavy metals in environment
  • Groundwater and Isotope Geochemistry
  • Water Quality Monitoring and Analysis
  • Environmental Science and Water Management
  • Water and Wastewater Treatment
  • Advanced Technologies in Various Fields
  • Water resources management and optimization
  • Water-Energy-Food Nexus Studies
  • Marine and coastal ecosystems
  • Water Quality Monitoring Technologies

China National Environmental Monitoring Center
2020-2025

Abstract Human activities and climate change threaten water quality in China’s rivers. We simulated the monthly concentrations of riverine total nitrogen (TN), ammonia-nitrogen (NH 3 -N), phosphorus (TP), chemical oxygen demand (COD Mn ) 613 sub-watersheds nation’s 10 major river basins during 1980–2050 period based on a 16-year (2003–2018) monitoring dataset using stacking machine-learning models. The results showed that improved markedly, except for TN concentration, which was probably due...

10.1038/s41545-023-00260-y article EN cc-by npj Clean Water 2023-06-06

Abstract Nutrients such as phosphorus and nitrogen lead to extensive growth of harmful algae in lakes reservoirs, which results eutrophication. The driving mechanism primary productivity change reservoirs at a wide spatial temporal scale remains largely unknown. We establish water quality database using stacking machine learning model, including monthly chlorophyll‐a (Chl‐a), total (TN) (TP) concentrations 255 332 from 1980 2018. find an increase the number risk algal blooms, with...

10.1029/2023wr036587 article EN cc-by Water Resources Research 2024-06-01

Abstract Background Risks of adverse ecological effects copper (Cu) consider water quality parameters were not fully understood in China. Here, a national-scale exposure Cu Chinese surface was investigated, and the first report using multiple linear regression approach to predict correct toxicity data based on chemistries Risk overestimated without considering previous studies. Results Under prevalent conditions hardness = 150.0 mg/L, pH 7.8, dissolved organic carbon (DOC) 3.0 across China,...

10.1186/s12302-023-00792-7 article EN cc-by Environmental Sciences Europe 2023-10-13

Abstract A comprehensive and accurate estimation of water quality in lakes reservoirs is vital for the protection aquatic biota. Research on spatiotemporal variations nitrogen (N) phosphorus (P) concentrations lacustrine systems typically plagued, however, by a lack long‐term, spatially continuous monitoring data. This paper assembled 30‐year (1989–2018) data set 586 China, along with basin characteristics climate conditions, forming available. These were then used stacking model (based...

10.1029/2022ef003013 article EN cc-by-nc-nd Earth s Future 2023-03-01

Chen, H.; Li, W., and Xie, X., 2020. Intelligent image monitoring technology of marine environmental pollution information. In: L. Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective Environment, Economy, Technology. Journal Research, Special Issue No. 112, pp. 1-4. Coconut Creek (Florida), ISSN 0749-0208.With the increasing shortage land resources, countries around world gradually develop use resources. Therefore, economy has become an important pillar our national...

10.2112/jcr-si112-001.1 article EN Journal of Coastal Research 2020-11-04

Abstract Background Risks of adverse ecological effects copper (Cu) conditions water quality parameters were not fully understood in China. Here, a multiple linear regression approach was employed to assess risks posed by Cu under various quality. Results the compared assessments Chinese surface waters that did consider might affect availability Cu. Under prevalent hardness = 150.0 mg/L, pH 7.8, and DOC 3.0 across China, predicted no effect concentration for total, dissolved 9.71 µg/L. Based...

10.21203/rs.3.rs-3207115/v1 preprint EN cc-by Research Square (Research Square) 2023-08-01
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