1. 极端暴雨、极端水文事件：极端暴雨-洪水时空特性、演化规律

2. 城市水文与气候变化：设计暴雨/洪水、城市水文过程模拟、气候变化与城市防洪适应性。

3. 人工智能技术在水文领域的应用：智慧化降雨预测、机器学习水文模拟等。

4. 防洪工程：海岸带城市防洪减灾问题

国家自然科学基金面上基金，《气候变化条件下超大城市暴雨时空变异性及其对洪水的影响机理》，2024-2027.

上海市海洋局科研项目，《极端高温和干旱条件下上海市沿江沿海夏季径流量变化及其与咸潮入侵相关关系研究》，2023.

国家自然科学基金青年项目, 暴雨空间分布不均匀性对城市洪水响应的影响机制研究, 2020.01-2022.12.

国家自然科学基金国际(地区)合作与交流项目，中俄大型城市暴雨时空变异性及其对径流水质的影响对比研究，2021-2022.

中国博士后科学基金面上一等资助，考虑降雨空间分布结构的城市流域设计暴雨研究，2018-2019.

一、出版专著：

《典型流域、区域与城市的设计暴雨研究》，刘曙光，周正正，韩超，梁玉音，同济大学出版社，2023.

二、论文：

Lei, N., Gao, L., Liu, S., Zhou, Z.*, 2024. The Spatiotemporal Clustering of Short‐Duration Rainstorms in Shanghai City Using a Sub‐Hourly Gauge Network. Earth and Space Science, 2024, 11(3): e2023EA003442.

Liang, J., S. Liu, Z. Zhou*, G. Zhong, and Y. Zhen: Improving probabilistic streamflow predictions through a nonparametric residual error model, Environmental Modelling & Software, 2024, 175, 105981.

庄琦，刘曙光，周正正*. 降雨数据时空精度对城市暴雨变异性及频率分析的影响[J]. 水科学进展, 2023, 34(3): 398-408.

Lei N.,  Zhou Z.*, Zhuang Q., Chen W., Chalov S.R., Liu S.,Gao L.,Dong G. Performance Evaluation and Improvement of CMFD's Precipitation Products Over Shanghai City, China[J]. Earth and Space Science, 2023, 10(3): e2022EA002690.

Zhen, Y., Fang, Q., Liu, S., Zhou, Z.*, Zhong, G., Zhuang, Q., & Liang, J. Exploring the effect of building openings and orientation on induced loads due to extreme flood events[J]. Journal of Fluids and Structures, 2023, 121: 103933.

Zhuang Q.,Zhou Z.*, Liu S., Wright D.B., Gao L. The evaluation and downscaling-calibration of IMERG precipitation products at sub-daily scales over a metropolitan region[J]. Journal of Flood Risk Management, 2023, e12902.

刘曙光, 郑伟强, 周正正等. 极端暴雨下城市地下空间洪涝风险及灾害防控[J]. 郑州大学学报(工学版), 2023.DOI: 10.13705/j.issn.1671-6833.2023.02.017

Zhuang, Q., Zhou Z*, Liu, S., et. al. Bivariate Rainfall Frequency Analysis in an Urban Watershed: Combining Copula Theory with Stochastic Storm Transposition. Journal of Hydrology, 2022, 615: 128648.

Liu S, Zheng W, Zhou, Z.*, Zhong G, Zhen Y, Shi Z. Flood Risk Assessment of Buildings Based on Vulnerability Curve: A Case Study in Anji County. Water. 2022; 14(21):3572. 

Gu, J., Liu S., Zhou, Z.*, et al.Evaluation of precipitation simulations in CMIP6 models over the Yangtze Delta, China[P]. 32nd International Ocean and Polar Engineering Conference, ISOPE 2022.

Zhen, Y., Liu, S., Zhong, G., Zhou, Z.*, Liang, J., Zheng, W., & Fang, Q. Risk assessment of flash flood to buildings using an indicator-based methodology: A Case study of mountainous rural settlements in Southwest China. Frontiers in Environmental Science, 2022, 10:931029.

Gu, J., Liu, S., Zhou, Z.*, Chalov, S. R., Zhuang, Q.. A Stacking Ensemble Learning Model for Monthly Rainfall Prediction in the Taihu Basin, China. Water, 2022, 14(3): 492.

甄亿位, 刘曙光, 钟桂辉, 周正正等. 山洪对汶川县村镇建筑的破坏特征及影响因素分析[J]. 防灾减灾工程学报, 2022. DOI: 10.13409/j.cnki.jdpme.20210416004

郑伟强, 刘曙光, 周正正. 城镇化对上海市极值降雨时程规律的影响研究[J]. 水力发电, 2022.DOI: 10.3969/j.issn.0559-9342.2022.02.003

梁冀雨, 刘曙光, 周正正等. 考虑山洪灾害影响的贝叶斯径流模拟方法[J]. 同济大学学报(自然科学版), 2022. DOI: 10.11908/j.issn.0253-374x.21205

Zhou, Z.*, Ren J., He, X., Liu, S. A comparative study of extensive machine learning models for predicting long‐term monthly rainfall with an ensemble of climatic and meteorological predictors. Hydrological processes, 2021;35:e14424.

庄琦, 刘曙光, 周正正*. 上海城区降雨时空分布变化与暴雨频率分析[J]. 水文, 2021, 41(4):74-80. （获《水文》期刊年度优秀论文）

Zhou, Z.*, Smith, J.A., Baeck, M.L., Wright, D.B., Smith, B.K., Liu S. The impact of the spatiotemporal structure of rainfall on flood frequency over a small urban watershed: an approach coupling stochastic storm transposition and hydrologic modeling. Hydrology and Earth System Science, 2021, 25(8): 4701-4717.

Zhuang, Q., Liu S., Zhou Z*. Spatial Heterogeneity Analysis of Short-Duration Extreme Rainfall Events in Megacities in China. Water, 2020, 12(12), 3364.

Hu, Z., Liu, S., Zhong, G., Lin, H., Zhou, Z. Modified Mann-Kendall trend test for hydrological time series under the scaling hypothesis and its application. Hydrological Sciences Journal, 2020,65(14): 2419-2438.

周正正; 刘曙光; Daniel B. Wright ; 基于随机暴雨移置方法的城市设计暴雨分析, 水科学进展, 2020, 31(4): 583-591

刘曙光, 周正正, 钟桂辉等. 城市化进程中的防洪排涝体系建设[J]. 科学, 2020,5.DOI: 10.3969/j.issn.0368-6396.2020.05.009

Zhou, Z. *, Smith, J.A., Wright, D.B., Baeck, M.L., Yang, L., and Liu, S. Storm catalog-based analysis of rainfall heterogeneity and frequency in a complex terrain. Water Resources Research, 2019, 55(3), 1871-1889

Ten Veldhuis, M.-C.*, Zhou, Z.*, Yang, L., Liu, S., and Smith, J. The role of storm scale, position and movement in controlling urban flood response. Hydrology and Earth System Science, 2018, 22(1), 417-436.

Zhou, Z. *, Smith, J.A., Yang, L., Baeck, M.L., Chaney, M., Ten Veldhuis, M.C., Deng, H. and Liu, S. The complexities of urban flood response: Flood frequency analyses for the Charlotte Metropolitan Region. Water Resources Research, 2017, 53(8), 7401-7425

Zhou, Z., Liu, S., Hu, Y., Liang, Y., Lin, H. and Guo, Y. Analysis of precipitation extremes in the Taihu Basin of China based on the regional L-moment method. Hydrology Research, 2016, 48(2), 468-479

Zhou, Z., Liu, S., Zhong, G. and Cai, Y. Flood disaster and flood control measurements in Shanghai. Natural Hazards Review, 2017, 18(1), p.B5016001

Zhou, Z., Liu, S., Hua, H., Chen, C.S., Zhong, G., Lin, H. and Huang, C.W. Frequency analysis for predicting extreme precipitation in Changxing station of Taihu Basin, China. Journal of Coastal Research, 2014, 68(sp1), 144-151

Zhang, X., Hu Y., Liu, S., Zhong, G., Zhou, Z. A comparison of parameter estimation methods using typical precipitation data in palin river networks: case study in Taihu Basin, China. Proceedings of the 26th International Ocean and Polar Engineering Conference. Rhodes, Greece, June 26-July1, 2016. ISOPE, 2016, 792-797.

梁玉音, 刘曙光, 钟桂辉, 周正正, & 胡艳 (2013). 线性矩法与常规矩法对太湖流域降雨频率分析的比较研究. 水文, 33(4), 16-21.

授权发明专利：一种基于元胞自动机的复杂地形洪水淹没进程快速模拟方法，CN112270115A, 2022.

上海短历时暴雨风险变化图                                           不同重现期下的降雨数据时空精度对设计暴雨结果的影响

基于copula-SST方法的设计暴雨研究