Prof. Wang | Toxicology of Metal Elements | Best Researcher Award
Capital Normal University, China
👨🎓Profile
📚 Early Academic Pursuits
Xuedong Wang began his academic journey at Hebei Agricultural University, where he completed his Bachelor's in Agricultural Science in 1982. His thesis, "The effect of water-fertilizer coupling on the growth of pakchoi," marked the beginning of his interest in agricultural science and environmental chemistry. His graduate studies continued with a Master’s in Soil Science at Hebei Agricultural University (2005), where he researched "Study on purification of phenol by root pores of wetland plants," combining his interest in environmental issues with soil science. In 2008, he earned a Ph.D. in Environmental Science from Capital Normal University, Beijing, China. His doctoral research, "Development of biotic ligand models predicting copper and zinc toxicity to barley," showcased his focus on understanding environmental pollution and its impact on soil and plant health.
💼 Professional Endeavors
He has held various academic positions at Capital Normal University in Beijing. He started as a Lecturer in 2008, quickly advancing to Associate Professor in 2012. In 2021, he was promoted to Professor, focusing on Soil/Environment Chemistry. His work has expanded beyond teaching into research, having been involved in various projects related to soil health and environmental sustainability. Dr. Wang has also worked as a Senior Visiting Scholar at the Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE) at the University of Newcastle in Australia in both 2014 and 2019-2020, collaborating on global environmental issues.
🔬 Contributions and Research Focus
His research has had a significant impact on the field of soil/environment chemistry. He has developed predictive models to understand the ecological risk thresholds for heavy metals in soils, contributing to better environmental remediation practices. His machine learning model for element ecological risk threshold prediction (2024-2027) and other projects on soil microbial biomass, heavy metal pollution in farmland, and soil heavy metal contamination reflect his deep commitment to addressing pressing environmental issues. His work on the ecological toxicity prediction model of soil metal elements is crucial for understanding how soil quality can be influenced by metal pollution.
🌍 Impact and Influence
His influence extends beyond his university through his contributions to environmental monitoring and management projects, particularly in China. His research on the remediation of polluted water bodies and heavy metal pollution in soil has contributed to policy development and practical applications for environmental cleanup. His participation in global research, including his visiting scholar positions in Australia, has facilitated international collaboration on environmental issues. His work has helped raise awareness about the importance of soil health in maintaining ecological balance.
📚 Academic Cites and Recognition
Although specific citation numbers are not mentioned, His extensive involvement in research projects and collaborations suggests that his contributions are well-regarded within the field of environmental science and soil chemistry. His ongoing work on projects related to soil pollution, heavy metal toxicity, and machine learning applications will likely continue to garner academic attention and recognition.
🧑🏫 Teaching Experience
As a professor at Capital Normal University, He has shaped the next generation of environmental scientists. He has taught courses related to soil/environment chemistry, imparting knowledge on both the scientific fundamentals and their application in real-world environmental issues. His students benefit from his research expertise, which he integrates into his teaching, making his classes valuable for aspiring professionals in the field.
🌱 Technical Skills
He has developed a broad range of technical skills over his career, including expertise in environmental modeling, soil chemistry analysis, heavy metal contamination, and biological toxicity prediction. His work integrates advanced machine learning techniques with environmental science, showcasing his proficiency in modern computational tools for environmental analysis.
🏆 Legacy and Future Contributions
He legacy lies in his continued commitment to environmental protection and soil sustainability. His current and future projects, such as the development of ecological toxicity prediction models and the remediation of contaminated water bodies, will contribute to improving both local and global environmental health. As a professor, his impact will also be felt through his students, many of whom will carry his research insights into their professional careers.
🔮 Future Contributions
Looking ahead, His focus on using machine learning for environmental science will likely expand. The construction of predictive models for soil health and pollution thresholds has the potential to revolutionize environmental management practices. His future work will continue to focus on the intersection of ecological risk, sustainability, and technological innovation, potentially contributing to more effective global environmental strategies.
📖Notable Publications
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Quantifying groundwater recharge in an agricultural basin using water stable isotope analysis
- Authors: Pu, X., Cai, K., Li, Z., Xue, Y., Zhang, Y.
- Journal: Agriculture, Ecosystems and Environment
- Year: 2024
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A critical review of co-pollution of microplastics and heavy metals in agricultural soil environments
- Authors: Bian, J., Peng, N., Zhou, Z., Yang, J., Wang, X.
- Journal: Ecotoxicology and Environmental Safety
- Year: 2024
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Characterization and source apportionment of rainfall-driven nitrate export from dryland crop systems with agricultural practices at mid-high latitudes
- Authors: Pu, X., Wang, T., Cai, K., Xue, Y., Zhang, Y.
- Journal: Agriculture, Ecosystems and Environment
- Year: 2024
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Predicting the ecological risk thresholds of soil metals in Europe using the quantitative ion character-activity relationships (QICAR) model
- Authors: Pu, X., Shi, W., Wang, X., Oorts, K., Ma, Y.
- Journal: Journal of Cleaner Production
- Year: 2024
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Deriving ecological risk thresholds for soil molybdenum in China based on interspecies correlation estimation and quantitative ion character–activity relationship models
- Authors: Shi, W., Wang, X., Xia, T., Pu, X., Bian, J.
- Journal: Journal of Hazardous Materials
- Year: 2024
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Derivation of ecotoxicity thresholds for Co in soils in China
- Authors: Zhang, J., Wang, X., Liang, L., Duan, G.
- Journal: Earth Science Frontiers
- Year: 2024