王鹏
中共党员，副教授，广东工业大学“青年百人计划”引进人才，硕士研究生导师。主要从事大数据分析与智能决策、新材料与新能源等方面的研究。已主持国家自然科学基金、广东省自然科学基金、国家重点研发计划子课题等科研项目8项，参与国家、省部级及地方政府实践项目10余项，已发表学术论文50余篇，参编专著1部。
联系方式：
Email：wangpengdili@163.com
主要荣誉：
2021年环境学院科研先进个人
2023年广东工业大学优秀共产党员
2023年广东工业大学教学优秀奖
代表性科研项目：
1. 广东省自然科学基金项目，2017/05-2020/05，主持；
2. 国家自然科学基金青年项目，2018/01-2020/12，主持；
4. 广东省生态环境厅重点课题，2020/06-2021/07，主持；
4. 国家重点研发计划子课题，2022/09-2026/08，主持；
近年代表性学术论文：
1. Zheng, J., Wang, P*., Shi, H., Zhuang, C., Deng, Y., Yang, X., ... & Xiao, R. (2023). Quantitative source apportionment and driver identification of soil heavy metals using advanced machine learning techniques. Science of The Total Environment, 873, 162371.
2. Shi, H., Wang, P*., Zheng, J., Deng, Y., Zhuang, C., Huang, F., & Xiao, R. (2023). A comprehensive framework for identifying contributing factors of soil trace metal pollution using Geodetector and spatial bivariate analysis. Science of The Total Environment, 857, 159636.
3. Tang, C., Xiao, R*., Ling, B., Wang, P*., Zheng, J., Huang, F., & Liu, W. (2023). Prediction of Cr and Ni contents in soil from hyperspectral data combined with Al-Fe minerals. International Journal of Remote Sensing, 44(8), 2781-2797.
4. Gong, X., Tian, L., Wang, P*., Wang, Z., Zeng, L., & Hu, J. (2023). Microplastic pollution in the groundwater under a bedrock island in the South China sea. Environmental Research, 239, 117277.
5. Wang P, Bai X, Wu X, et al. Spatially continuous assessment of satellite-based precipitation products using triple collocation approach and discrete gauge observations via geographically weighted regression[J]. Journal of Hydrology, 2022: 127640.
6. Wang P, Zhang X, Hao Y, et al. Evaluating salinity variation and origin in coastal aquifer systems with integrated geophysical and hydrochemical approaches[J]. Environmental Science and Pollution Research, 2022: 1-17.
7. Bai, X., Wang, P*., He, Y., Zhang, Z., & Wu, X.. Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach. Journal of Hydrology, 2021,603,127098.
8. Bai, X., Cai, H., Wu, X., Wang, P*. Applicability of the long-term satellite-based precipitation products for drought indices considering global warming. Journal of Environmental Management[J].2020, 255：109846.
9. Bai X, Wu X, Wang P*. Blending long-term satellite-based precipitation data with gauge observations for drought monitoring: Considering effects of different gauge densities[J]. Journal of Hydrology, 2019, 577: 124007.
10. Bai X, Wen S, Wang P*.Chen X H, He YH. Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective[J]. Water Resources Management, 2020, 34(23) : 1-16.
11. Wang, P., Shen, L., Chen, X., Wang, Z., Liang, X., Hu, B. X., ... & Zhai, X. (2019). Response of soil water hydrochemistry and δ13CDIC to changes in spatio-temporal variations under different land covers in SW China karst catchment. Hydrology Research, 50(3), 925-944.
12. Wang P, Wu X, Hao Y, et al. Is Southwest China drying or wetting? Spatiotemporal patterns and potential causes[J]. Theoretical and Applied Climatology, 2019: 1-15.
13. Zheng, Y., He, Y., Cai, Y., & Wang, P. (2020). An improved interior-outer-set model framework for flood hazard analysis. Stochastic Environmental Research and Risk Assessment, 34(10), 1543-1558.
14. Wang P, Chen X, Shen L, et al. Geochemical features of the geothermal fluids from the Mapamyum non-volcanic geothermal system (Western Tibet, China)[J]. Journal of Volcanology and Geothermal Research, 2016, 320: 29-39.
