Dr. Zheng Li | Environmental Science | Best Researcher Award
Dr. Zheng Li, College of environmental sciences and engineering, China
Dr. Zheng Li is a Research Associate at the School of Environmental Sciences and Engineering, Peking University. His expertise lies in environmental planning and management, with a strong research focus on water pollution control, environmental risk assessment, and pollutant migration. He has authored 10 SCI-indexed papers in leading journals such as Journal of Hydrology, Ecotoxicology and Environmental Safety. His research integrates machine learning, neural networks, and isotope tracing to advance environmental sustainability. Dr. Li’s contributions in watershed hydrology and water quality simulation have significantly impacted pollution control strategies. 🌍🔬
Publication Profile
Education 🎓
Dr. Zheng Li earned his PhD in Environmental Science from Peking University, specializing in environmental planning, pollution control, and hydrological modeling. His doctoral research focused on heavy metal migration and transformation in sediment-water interfaces. He completed his Master’s in Environmental Engineering with an emphasis on ecological risk assessment and water quality management. His undergraduate studies in Environmental Science and Engineering provided a strong foundation in sustainable development, pollution modeling, and environmental impact assessment. Throughout his academic journey, he has combined theoretical knowledge with practical applications, producing research that influences policy and environmental conservation efforts. 📚🌱
Experience 🏢
Dr. Zheng Li has extensive research experience in environmental risk assessment, hydrological modeling, and heavy metal pollution control. As a Research Associate at Peking University, he has led studies on pollutant behavior, ecological risk assessment, and machine learning applications in water management. He has collaborated on government and industry-funded projects focusing on climate change impact on water ecosystems. His work integrates neural network models and deep learning techniques for predicting pollution trends and mitigation strategies. His experience spans laboratory research, field studies, and policy advising, contributing to sustainable environmental management practices. 🌊🔍
Research Focus 🔬
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“Nutrient Release to Qinghai Lake from Buffer Zone Evolution Driven by Climate Change” – Journal of Hydrology, June 2025.
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“Climate Change Driven Land Use Evolution and Soil Heavy Metal Release Effects in Lakes on the Qinghai-Tibet Plateau” – Science of The Total Environment, January 2025.
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“Principles of Terrestrial Water Distribution Patterns and the Role of Soil Hydraulic Properties” – CATENA, April 2024.
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“The Interaction Between Nutrients and Heavy Metals in Lakes and Rivers Entering Lakes” – Ecological Indicators, April 2024.
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“Adsorption and Desorption of Heavy Metals at Water-Sediment Interface Based on Bayesian Model” – Journal of Environmental Management, March 2023.
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“Spatial Distribution, Ecological Risk, and Human Health Assessment of Heavy Metals in Lake Surface Sections — A Case Study of Qinghai Lake, China” – Environmental Science and Pollution Research, January 2023.
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“Temporal and Spatial Distribution and Fluorescence Spectra of Dissolved Organic Matter in Plateau Lakes: A Case Study of Qinghai Lake” – Water, December 2021.
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“Plateau River Research: Spatial-Temporal Variations of δ18O and δD in the Water of the Yarlung Tsangpo River and Their Controlling Factors” – Ecotoxicology and Environmental Safety, January 2021.
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“Water Environment in the Tibetan Plateau: Heavy Metal Distribution Analysis of Surface Sediments in the Yarlung Tsangpo River Basin” – Environmental Geochemistry and Health, August 2020.
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“Plateau River Research: Ecological Risk Assessment of Surface Sediments in the Yarlung Tsangpo River” – Environmental Science and Pollution Research, February 2020.