个人简介

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博士，硕士生导师，主要研究方向：流域水循环模拟、蒸散发机理及模型、极端水文事件（干旱、洪涝）模拟及预测、气候变化影响评估等。美国地球物理学会(AGU) 会员，Hydrology and Earth System Sciences, Journal of Hydrology, Hydrological Processes, Climatic Change, International Journal of Climatology, Stochastic Environmental Research and Risk Assessment等多个SCI期刊审稿人。作为科研骨干参加了973计划、国家自然科学基金等多项国内外重大科研项目，主持国家、省部级等多个科研项目，发表学术论文40余篇，参编专著1部，申请国家发明专利2项。入选广东省“珠江人才计划”青年拔尖人才、暨南大学“双百英才计划”****（第一层次），获华南理工大学十大优秀博士学位论文、广东省优秀学生（研究生阶段），华南理工大学“十大学生共产党员、共青团员标兵”等多项荣誉奖励。指导博士研究生3名（协助团队指导，其中已毕业1名），硕士研究生4名（协助团队指导2名，独立指导2名，其中已毕业1名）。
科研项目：
1. 广东省自然科学基金面上项目(2020A), 2019.10-2022.09, 10万, 主持；
2. 国家自然科学青年基金(**), 2020.01-2022.12, 22万, 主持；
3. 广东省自然科学基金(2018A), 2018.05-2021.04, 10万, 主持；
4. 广东省普通高校青年创新人才类项目(2017KQNCX010), 2018.1-2020.12, 主持；
5. 中央高校基本科研业务费(**), 2017.1-2019.12, 15万, 主持；
6. 国家自然科学基金面上项目(**), 2019.01-2022.12, 60万, 参与(暨大负责人)；
7. 国家自然科学基金应急管理项目(**), 2018.01-2018.12, 15万, 参与(暨大负责人).
荣誉奖励：
1. 2014年 博士研究生国家奖学金；
2. 2014-2015年度 广东省优秀学生（研究生阶段）;
3. 2015年 华南理工大学“十大学生共产党员、共青团员标兵”;
4. 2014年 华南理工大学优秀博士学位论文创新基金一等奖;
5. 2016年 华南理工大学优秀博士学位论文（全校10篇）；
6. 2017年 广东省“珠江人才计划”青年拔尖人才；
7. 2020年“暨南双百英才计划”****第一层次；

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教育经历

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2010.09-2015.06：华南理工大学，船舶与海洋工程（水文水资源方向），博士
2006.09-2010.06：中国矿业大学，工程管理，本科

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工作经历

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2016.09-至今：暨南大学地下水与地球科学研究院，副教授
2015.08-2016.07：新加坡国立大学土木与环境工程系，Research Fellow

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代表性成果

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Li, J.Y.,Wu, C.H.*, Xia, C.-A.*, Yeh, Pat, J.-F., Hu, B.X., and Huang, G.R. 2021. Assessing the responses of hydrological drought to meteorological drought in the Huai River Basin, China. Theoretical and Applied Climatology, doi: 10.1007/s00704-021-03567-3.
Ju, J.L., Dai, H., Wu, C.H.*, Hu, B.X., Ye, M., Chen, X.Y., Gui, D.W., Liu, H.F., and Zhang, J., 2021. Quantifying the Uncertainty of the Future Hydrological Impacts of Climate Change: Comparative Analysis of an Advanced Hierarchical Sensitivity in Humid and Semiarid Basins. Journal of Hydrometeorology, doi: 10.1175/JHM-D-20-0016.1.
Wu, C.H.*, Yeh, P.J.-F, Ju, J.L., Chen, Y.Y., Xu, K., Dai, H., Niu, J., Hu, B.X., and Huang, G.R. 2020. Assessing the spatio-temporal uncertainties in future meteorological droughts from CMIP5 models, emission scenarios and bias corrections. Journal of Climate, doi: 10.1175/JCLI-D-20-0411.1.
Liu, H., Dai, H., Niu, J., Hu, B. X., Gui, D., Qiu, H., Ye, M., Chen, X., Wu, C.H., Zhang, J., and Riley, W. 2020. Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed.Hydrol. Earth Syst. Sci., 24: 4971–4996, https://doi.org/10.5194/hess-24-4971-2020, 2020.
Wu, C.H.*, Yeh, P. J. -F., Chen, Y.Y., Hu, B. X., and Huang, G.R. 2020. Future precipitation-driven meteorological drought changes in the CMIP5 multi-model ensembles under 1.5 °C and 2 °C global warming. Journal of Hydrometeorology, 21：2177-2196, doi: 10.1175/JHM-D-19-0299.1.
Sun, L.W., Qiu, H., Wu, C.H., Niu, J., and Hu, B. X., 2020. A review of applications of fractional advection–dispersion equations for anomalous solute transport in surface and subsurface water. WIREs Water, 7: e1448, doi: 10.1002/wat2.1448.
Zhang, H.Y., Wu, C.H.*, Yeh, P.J.-F.,and Hu, B.X.2020. Global pattern of short‐term concurrent hot and dry extremes and its relationship to large‐scale climate indices. International Journal of Climatology, doi: 10.1002/joc.6555.
Sun, L.W., Niu, J., Hu, B. X., Wu, C.H., and Dai, H. 2020. An Efficient Approximation of Non-Fickian Transport Using A Time-Fractional Transient Storage Model. Advances in Water Resources, 135: 103486, https://doi.org/10.1016/j.advwatres.2019.103486.
Zhang, Y., Wu, C.H.*, Hu, B. X., Yeh, T. C. J., Hao, Y., and Lv, W. 2019. Fine Characterization of the Effects of Aquifer Heterogeneity on Solute Transport: A Numerical Sandbox Experiment. Water, 11(11), 2295.
Wu, C.H.*, Yeh, P.J.-F.*, Wu, H.C., Hu, B.X., and Huang, G.R. 2019. Global analysis of the role of terrestrial water storage in the evapotranspiration estimated from the Budyko framework at the annual-to-monthly timescales. Journal of Hydrometeorology, 20(10): 2003-2021, doi: 10.1175/JHM-D-19-0065.1.
Wang, P., Wu, X., Hao, Y. Wu, C.H., Zhang, J. 2019. Is Southwest China drying or wetting? Spatiotemporal patterns and potential causes. Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-019-02935-4.
Zhang, H.Y., Wu, C.H.*, and Hu, B.X.*.2019. Recent intensification of short-term concurrent hot and dry extremes over the Pearl River basin, China. International Journal of Climatology, 39: 4924-4937, doi: 10.1002/joc.6116.
Xu, K., Xu, B.B., Ju, J.L., Wu, C.H.*, Dai, H., and Hu, B.X.*. 2019. Projection and uncertainty of precipitation extremes in the CMIP5 multimodel ensembles over nine major basins in China. Atmospheric Research, 226: 122-137, https://doi.org/10.1016/j.atmosres.2019.04.018.
Zhang, H., Wu,C.H., Chen, W. J., and Huang,G.R. 2019. Effect of Urban Expansion on Summer Rainfall in the Pearl River Delta, South China. Journal of Hydrology, 568: 747-757, https://doi.org/10.1016/j.jhydrol.2018.11.036.
Xu, K., Wu, C. H.*, and Hu, B. X.*, 2019. Projected changes of temperature extremes over nine major basins in China based on the CMIP5 multimodel ensembles. Stochastic Environmental Research and Risk Assessment, 33: 321-339, doi: 10.1007/s00477-018-1569-2.
Xu, K., Qin, G. X., Niu, J., Wu, C. H.*, Hu, B. X., Huang, G. R., and Wang, P. 2019. Comparative analysis of meteorological and hydrological drought over the Pearl River basin in southern China. Hydrology Research, 50(1): 301-318, doi: 10.2166/nh.2018.178.
Wu, C. H.,Yeh, P. J.-F.,Hu, B. X., Huang, G. R. 2018. Controlling factors of errors in the predicted annual and monthly evaporation from the Budyko framework. Advances in Water Resources, 121: 432-445, https://doi.org/10.1016/j.advwatres.2018.09.013
Wu, C. H., Hu, B. X., Huang, G. R., Wang, P., and Xu, K. 2018. Responses of runoff to historical and future climate variability over China.Hydrology and Earth System Sciences, 22: 1971-1991, https://doi.org/10.5194/hess-22-1971-2018.

Yeh, P. J.-F., and Wu, C. H.*. 2018. Recent acceleration of the terrestrial hydrologic cycle in the U.S. Midwest. Journal of Geophysical Research: Atmospheres, 123, 993–3008.
https://doi.org/10.1002/2017JD027706.

Liu, C., Zhou, Y., Sui, J., andWu, C. H.*. 2018. Multivariate frequency analysis of urban rainfall characteristics using three-dimensional copulas. Water Science and Technology, 2017 (1), 206-218, DOI: 10.2166/wst.2018.103.
Wu, C. H., Hu, B. X., Huang, G. R., and Zhang, H. 2017. Effects of climate and terrestrial storage on temporal variability of actual evapotranspiration, Journal of Hydrology, 594: 388-403, doi: 10.1016/j.jhydrol.2017.04.012.
Zhang, H., Wu,C.H., Chen, W. J., and Huang,G.R. 2017. Assessing the impact of climate change on the waterlogging risk in coastal cities: A case study of Guangzhou, South China. Journal of Hydrometeorology, doi: 10.1175/JHM-D-16-0157.1.
Wu,C.H., Xian, Z. Y., and Huang,G.R. 2016. Meteorological drought in the Beijiang River basin, South China: current observations and future projections. Stochastic Environmental Research and Risk Assessment, 30(7): 1821–1834.
Wu,C.H., and Huang,G.R. 2016. Projection of climate extremes in the Zhujiang River basin using a regional climate model. International Journal of Climatology, 36: 1184–1196.
Wu,C.H., Huang,G.R., and Yu,H.J. 2015. Prediction of extreme floods based on CMIP5 climate models: a case study in the Beijiang River basin, South China. Hydrology and Earth System Sciences, 19: 1385–1399.
Wu, C. H., and Huang, G. R. 2015. Changes in heavy precipitation and floods in the upstream of the Beijiang River basin, South China. International Journal of Climatology, 35 (10): 2978-2992.
Wu, C. H., Huang, G. R., Yu, H. J, Chen, Z. J, and Ma, J. G. 2014. Impact of climate change on reservoir flood control in the upstream area of the Beijiang River Basin, South China. Journal of Hydrometeorology, 15: 2203–2218.
Wu, C. H., Huang, G. R., Yu, H. J., Chen, Z. Q., and Ma, J. G. 2014. Spatial and temporal distributions of trends in climate extremes of the Feilaixia catchment in the upstream area of the Beijiang River Basin, South China. International Journal of Climatology, 34: 3161–3178, doi: 10.1002/joc.3900.
Yu, H. J, Huang, G. R, and Wu, C. H.2015. An efficient finite volume model for shallow water flows using an implicit dual time-stepping method. Journal of Hydraulic Engineering,141(6): **, doi: 10.1061/(ASCE)HY.1943-7900.**.
Yu, H. J, Huang, G. R, and Wu, C. H.2014. Application of Storm Water Management Model to piedmont city: a case study of Jinan City, China. Water Science & Technology, 70(5): 858–864, doi: 10.2166/wst.2014.302.
Chen, W. J, Chen, C., Li, L., Xing, L., Huang, G. R, and Wu, C. H.2015. Spatiotemporal Analysis of Extreme Hourly Precipitation Patterns in Hainan Island, South China. Water, 7: 2239–2253.
黄国如, 武传号, 向碧为. 基于粗糙集理论的东江流域水基系统健康集对评价[J]. 系统工程理论与实践, 2014, 34(5): 1345-1351.
黄国如, 武传号, 刘志雨, 陈芷菁, 胡健伟, 尹志杰. 气候变化情景下北江飞来峡水库极端入库洪水情景预估[J]. 水科学进展. 2015, 26(1): 10-19.
武传号, 黄国如, 吴思远. 基于Copula函数的广州市短历时暴雨与潮位组合风险分析[J]. 水力发电学报, 2014, 33(2): 33-41.
冼卓雁, 武传号, 黄国如. 基于SPEI的北江飞来峡流域干旱时空演变特征分析[J]. 灾害学, 2015, 30(3): 198-203.
陈其幸, 武传号, 黄国如, 吴思远. 广州市城区短历时暴雨特征分析[J]. 水电能源科学, 2013, 31(8): 4-6.
喻海军, 黄国如, 武传号. 双时间步法在二维浅水方程求解中的应用[J]. 水科学进展, 2014, 25(4): 542-549.
黄国如, 曾娇娇, 张明珠, 武传号, 刘浩. 不同选样方法设计暴雨重现期衔接关系探讨[J]. 水利与建筑工程学报, 2015, 13 (1), 30-35.

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