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杨盼

发布日期:2022-08-17    作者:gdut-seer     来源:     点击:

一、基本信息

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杨盼,1990年生,香港科技大学(HKUST)博士,广东工业大学“青年百人计划”A类引进人才,特聘副教授。

二、研究方向

水环境系统分析,水文大数据处理,“水-能-粮”耦合系统分析

三、教育经历

2007.09-2011.06,武汉理工大学,环境工程专业,获工学学士学位;

2011.09-2014.07,北京师范大学,环境工程专业,获工学硕士学位;

2014.08-2018.08,香港科技大学,土木工程专业,获工学博士学位。

四、工作经历

2018.09-2022.03,伊利诺伊大学香槟分校,土木与环境工程学院,博士后研究员

2022.05至今,广东工业大学,9570官方金沙,特聘副教授;

五、科研项目

1.香港特别行政区大学教育资助委员会,Adaptive Management with Forecasting of Non-Stationary Water Supply System (GRF No. 617012),2014-2018,参与

2.美国能源部,Center for Advanced Bioenergy and Bioproducts Innovation (DE-SC0018420),2018-2022,参与

3.美国自然科学基金会,The Urban Flooding Open Knowledge Network (UF-OKN): Delivering Flood Information to AnyOne, AnyTime, AnyWhere (NSF 2033607),2020-2022,参与

六、荣誉获奖

1.中国产学研合作创新成果奖一等奖,2021

2.中国发明协会全国发明展览会金奖,2021

3.3rd Biennial Symposium of International Society for River Science,最佳学生海报

七、科研成果

目前已在国际主流SCI期刊发表学术论文20篇,其中第一/通讯作者SCI论文13篇,发表于Water Resources Research,Environmental Science & Technology,Renewable & Sustainable Energy Reviews等水资源/水环境领域顶级期刊。已授权专利3项。

24.Yang, P., Cai, X.*, Hu, X., Zhao, Q., Lee, Y., Khanna, M., ... & Iutzi, F. (2022). An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development. Renewable and Sustainable Energy Reviews, 167, 112745.

23.Yang, P., Piao, X., Cai, X.*(2022). Water Requirement for Biorefinery to Meet the Renewable Fuel Standard in the Contagious United States. Environmental Science & Technology, 56(6), 3748–3757;共同一作.

22.Yang, P.*, & Ng, T. L. (2022). Quantifying uncertainty in multivariate quantile estimation of hydrometeorological extremes via copula: A comparison between bootstrapping and Markov chain Monte Carlo. International Journal of Climatology, 42(9), 4621-4638.

21.Yang, P., Cai, X.*, Leibensperger, C., & Khanna, M. (2021). Adoption of perennial energy crops in the US Midwest: Causal and heterogeneous determinants. Biomass and Bioenergy, 155, 106275.

20.Niu, G.,Yang, P.*, Zheng, Y.*, Cai, X., & Qin, H. (2021). Automatic quality control of crowdsourced rainfall data with multiple noises: A machine learning approach. Water Resources Research, 57(11), e2020WR029121.

19.Yang, P., Cai, X*, and Khanna, M. (2021). Farmers’ Heterogeneous Perceptions of Marginal Land for Biofuel Crops in US Midwestern States Considering Biophysical and Socio-economic Factors. Global Change Biology Bioenergy, 13(5): 849-861.

18. Leibensperger, C.,Yang, P., Zhao, Q., Hu, X., Wei, S., and Cai, X*. (2021). The Synergy Between Stakeholders for Biofuel Development -- Perspectives, Opportunities, and Barriers. Renewable & Sustainable Energy Reviews, 137: 110613;共同一作.

17.Yang, P., Zhao, Q., and Cai, X.*(2020). Machine Learning Based Estimation of Land Productivity in the Contiguous US Using Biophysical Predictors. Environmental Research Letters, 15(7): 074013.

16.Yang, P., Ng, T. L.*, and Cai, X.*(2019). Reward-based Participant Management for Crowd-Sourcing Rainfall Monitoring: An Agent-Based Model Simulation. Water Resources Research, 55(10): 8122-41.

15.Yang, P.and Ng, T. L.*(2019). Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data. Water Resources Research, 55(4): 3194-3214.

14.Yang, P.and Ng, T. L.*(2017). Gauging through the Crowd: A Crowd-Sourcing Approach to Urban Rainfall Measurement and Stormwater Modeling Implications. Water Resources Research, 53(11): 9462-9478.

13.Yang, P.and Ng, T. L.*(2016). Fuzzy Inference System for Robust Rule-Based Reservoir Operation under Nonstationary Inflows. Journal of Water Resources Planning and Management, 04016084.

12.Yang, P., Yin, X. A.*, Yang, Z. F., and Tang, J. (2014). A Revised Range of Variability Approach Considering the Periodicity of Hydrological Indicators. Hydrological Processes, 28(26): 6222-6235.

11.Khanna, M.*, Chen, L., Basso, B., Cai, X., Field, J. L., Guan, K.,Yang, P., & Zipp, K. Y. (2021). Redefining marginal land for bioenergy crop production. GCB Bioenergy, 13(10), 1590-1609.

10.Zhou, Y.*, Zhang, D., Zhou, P., Wang, Z.,Yang, P., Jin, J., ... & Ning, S. (2021). Copula‐Based Bivariate Return Period Analysis and Its Implication to Hydrological Design Event. JAWRA Journal of the American Water Resources Association.

9. Luo, Y., Bao, S.*, Yang, S., Zhang, Y., Ping, Y., Lin, C., & Yang, P. (2021). Characterization, Spatial Variation and Management Strategy of Sewer Sediments Collected from Combined Sewer System: A Case Study in Longgang District, Shenzhen. International Journal of Environmental Research and Public Health, 18(14), 7687.

8. Xu, Z., Yu, C., Liao, L., Yang, P., and Yang, Z*. (2021). Optimizing Reservoir Operations for Tradeoffs Between Economic Objectives and Legacy Phosphorus Management. Resources, Conservation and Recycling, 167: 105413.

7. Zheng, F.*, Tao, R., Maier, H. R., See, L., Savic, D., Zhang, T., Chen, Q. W., Assumpção, T. H., Yang, P., …, and Popescu, I. (2018). Crowdsourcing methods for data collection in geophysics: state of the art, issues, and future directions. Reviews of Geophysics, 56(4): 698-740.

6. Tang, J., Yin, X. A.,Yang, P.,and Yang, Z. F.*(2015). Climate‐induced Flow Regime Alterations and Their Implications for the Lancang River, China. River Research and Applications, 31(4): 422-432.

5. Tang, J., Yin, X. A.,Yang, P., andYang, Z. F.*(2014). Assessment of Contributions of Climatic Variation and Human Activities to Streamflow Changes in the Lancang River, China. Water Resources Management, 28(10): 2953-2966.

4.Yang, P.and Ng, T. L.*(2015, October). Fuzzy Inference Decision Rule for Optimal Reservoir Operation. In 2015 IEEE International Conference on Systems, Man, and Cybernetics (pp. 2239-2243). IEEE.

3. 杨盼,包申旭,等,一种基于空间统计学的多来源降雨数据融合算法及装置, (ZL 202110253540.0)

2. 包申旭, 杨盼,等,一种基于贝叶斯回归的多来源降雨数据融合算法及装置,(ZL 202110251215.0)

1. 包申旭, 杨盼,等,一种暴雨洪水管理模型软件的数据输入方法及装置,(ZL 202110246199.6)

七、联系方式

地址:广州市番禺区广州大学城外环西路100号9570官方金沙

邮编:510006

Email: pyangac@gdut.edu.cn

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