个人简介

代超，土木工程学院副教授、博士生导师，中山大学百人计划学者，毕业于北京大学，获环境科学博士学位，曾任新加坡南洋理工大学（Nanyang Technological University）博士后研究员。主要研究方向为资源环境系统分析（如水资源、能源、粮食和环境系统管理）、水文水动力水环境模拟、非点源污染与生物修复以及气候变化对水资源环境区域响应。在国际学术期刊Journal of Hydrology、Science of the Total Environment, Agricultural Water Management, Ecological Engineering等发表SCI学术论文40余篇，H指数为21（参考：ResearchGate 以及Google Scholar）。欢迎有水文水资源、环境科学、计算机科学、运筹学等学科背景，对水资源数学模型感兴趣的同学与我联系！

主讲课程

• 水文学原理（本科）
• 气象与气候学（本科）
• 水利大数据与信息化（本科）
• 数学建模基础课程（本科）
• 高级水文学原理（研究生）
• 气候系统与气候变化（研究生）

科研项目

• 国家自然科学基金面上项目，2026-2029，主持
• 国家自然科学基金重大项目子课题，2025-2029，主持
• 中国环科院重点实验室开发基金，2024-2026，主持
• 国家自然科学基金青年项目，2021-2023年，主持

期刊论文

• Li Haojie; Fu Zhenghui; Sun Wei; Dai Chao*; Yanpeng Cai.Assessing Climate‐Change Impacts on Hydrological Processes and Blue–Green Water Dynamics Using Multi‐Model Ensembles Under Shared Socioeconomic Pathways in the Hanjiang River Basin, China [J]. Hydrological Processes. 2025, 39: e70096
• Dai Chao*; Zhang Xiaolei; Tan Xuezhi; Hu Maochuan; Sun Wei*. A stochastic simulation-based chance-constrained programming model for optimizing watershed best management practices for nonpoint source pollution control under uncertainty [J]. Journal of Hydrology. 2024, 632: 130882
• Tan Xuezhi; Li Ying; Wu Xinxin; Dai Chao*; Zhang Xiaolei*; Cai Yanpeng. Identification of the key driving factors of flash flood based on different Feature Selection techniques coupled with Random Forest method [J]. Journal of Hydrology: Regional Studies. 2024
• Dai C, Qin X.S.,Zhang, X.L., Liu, B.J., 2022. Study of climate change impact on hydro-climatic extremes in the Hanjiang River basin, China, using CORDEX-EAS data. Weather and Climate Extremes, 38: 100509
• Dai C, Qin X.S., Dong, F.F, Cai, Y.P., 2022. Climate change impact on blue and green water resources distributions in the Beijiang River basin based on CORDEX projections. Journal of Water and Climate Change 13 (7): 2780–2798.
• Dai C, Qin X.S., Lu W.T., 2020. A fuzzy fractional programming model for optimizing water footprint of crop planting and trading in the Hai River Basin, China, Journal of Cleaner Production 278: 123196.
• Dai C, Qin X.S., Lu W.T., Zang, H.K., 2020. A multimodel assessment of drought characteristics and risks over the Huang-Huai-Hai River basin, China, under climate change, Theoretical and Applied Climatology 141: 601–613.
• Dai C, Qin X.S., Lu W.T., Huang, Y., 2020. Assessing adaptation measures on agricultural water productivity under climate change: A case study of Huai River Basin, China, Science of the Total Environment 137777.
• Dai C, Qin X.S., 2019. Assessment of effectiveness of multi-site stochastic weather generator on hydrological modeling in the Red Deer River watershed, Canada, Hydrological Sciences Journal 64: 1616-1628.
• Dai C, Qin X.S., Chen, Y., Guo, H.C., 2018. Dealing with equality and benefit for water allocation in a lake watershed: A Gini-coefficient based stochastic optimization approach, Journal of Hydrology 561: 322-334.
• Dai C, Qin X.S., Tan, Q., Guo, H.C., 2018. Optimizing best management practices for nutrient pollution control in a lake watershed under uncertainty, Ecological Indicators 92: 288-300.
• Dai, C., Cai, Y.P., Ren, W., Xie, Y.F., Guo, H.C., 2016. Identification of optimal placements of best management practices through an interval-fuzzy possibilistic programming model. Agricultural Water Management (165) 108–121.
• Dai, C., Tan, Q., Lu, W.T., Y. Liu, Guo, H.C., 2016. Identification of optimal water transfer schemes for restoration of a eutrophic lake: An integrated simulation-optimization method, Ecological Engineering 95: 409–421
• Dai, C., Guo, H.C., Tan, Q., Ren W., 2016. Development of constructed wetland network for mitigating nonpoint source pollution through a GIS-based inexact optimization approach. Ecological Engineering 96: 94-108.
• Dai, C., Cai, Y.P., Lu, W.T., Liu, H., Guo, H.C., 2016. Conjunctive water use optimization for watershed-lake water distribution system under uncertainty: a case study Water Resources Management 30: 4429.
• Dai, C., Sun, W., Tan, Q., Yi, X., Guo, H.C., 2016. Risk management for sulfur dioxide abatement under multiple uncertainties. Frontiers of Earth Science 1:87-107
• Dai, C., Cai, Y.P., Liu, Y., Wang, W.J., Guo, H.C., 2015. A generalized interval fuzzy chance-constrained programming method for domestic wastewater management under uncertainty – a case study of Kunming, China. Water Resources Management 29:3015-3036.
• Dai, C., Cai, X.H., Cai, Y.P., Guo, H.C., 2014. A simulation-based fuzzy possibilistic programming model for coal blending management with consideration of human health risk under uncertainty. Applied Energy 133: 1-13.
• Dai, C., Cai, Y.P., Li, Y.P., Sun, W., Wang, X.W., Guo, H.C., 2014. Optimal strategies for carbon capture, storage and utilization based on an inexact -measure fuzzy chance-constrained programming. Energy 78:465-478
• Dai, C., Cai, X.H., Cai, Y.P., Huo,Q., Lv,Y., Huang, G.H., 2014. An interval-parameter mean-CVaR two-stage stochastic programming approach for waste management under uncertainty. Stochastic Environmental Research and Risk Assessment 28, 167-187.
• Dai, C., Cai, X.H., Cai, Y.P., Guo, H.C., Sun, W., Tan, Q., Huang, G.H., 2014. An integrated simulation and optimization approach for managing human health risks of atmospheric pollutants by coal-fired power plants. Journal of the Air & Waste Management Association 64: 704-720.
• Dai, C., Li, Y.P., Cai, Y.P., Huang, G.H., Sun, W., 2019. A support vector regression and Monte Carlo simulation - based interval two-stage programming for environmental systems planning in Beijing. Environmental Engineering and Management Journal 18: 329-348.
• Dai, C., Li, Y.P., Huang, G.H., 2012. An interval-parameter chance-constrained dynamic programming approach for capacity planning under uncertainty. Resources Conservation and Recycling 62(2):37–50.
• Dai, C., Li, Y.P., Huang, G.H., 2011. A two-stage support-vector-regression optimization model for municipal solid waste management-a case study of Beijing, China. Journal of Environmental Management 92: 3023-37.

学生培养

• 大学生创新创业训练计划项目

• 大学生数学建模竞赛

学术兼职

• 《人民珠江》青年编委
• 《Water》客座编辑（“Lake Eutrophication Management”专刊）
• 《Frontiers in Environmental Science》客座编辑
• 《Frontiers in Earth Science》客座编辑
• 《Journal of Hydrology》、《Water Resources Research》和《Water Resources Management》等期刊审稿人

招聘信息

• 【急招】课题组招聘 3-5名博士后 开展合作研究。面向年龄在35岁以下（含），获得博士学位不超过3年，具备较高的学术水平和较强的科研能力的海内外优秀博士。
• 【常年】招收水资源综合利用、水污染治理和水文水资源方向的本科生、硕士、博士后、专职研究人员。欢迎有兴趣的同学和老师加入课题组和开展合作研究。