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陈磊

            

姓名:陈磊

出生年月:1995年3月

技术职务:弘深青年教师、助理研究员,硕士生导师

电子邮箱:chenlei@cqu.edu.cn

通讯地址:重庆市重庆大学B区环境与生态学院420室

主要研究方向:

城市排水防涝、海绵城市、水资源与给排水系统设计与运行最优化、城市智慧水务理论技术研发与应用

热忱欢迎对智能算法在给排水领域应用感兴趣的同学报考,并加入我们的课题组大家庭!

国内外学术团体任职:

重庆市环境科学学会青年专业委员会常务委员

IWA(International Water Association)国际水协会员

教育及工作经历

2023年-至今,重庆大学, 环境与生态学院, 弘深青年教师、助理研究员

2017年-2023年, 同济大学,市政工程 博士(直博)

2013年-2017年, 华南理工大学,给排水科学与工程学士

主持或主研的科学研究项目

[1]主持,国家自然科学基金青年项目:极端降雨情景下山地城市雨水径流响应机理及蓄排联调系统构建(52400108),2025-2027。

[2]主持,国家重点研发计划项目子课题:污水管网非二氧化碳温室气体的生成机理、逸散特征及控制技术研究(2024YFC3810202-04),2025-2028。

[3]主持,重庆市技术创新与应用示范专项重点研发课题:城市超标降雨径流预控预警管控平台开发,2023-2026。

[4]主持,中央高校基本科研业务费(2025CDJZKKYJH-11),2025-2026。

[5]主持,横向科研项目(H20251908),2025-2026。

[6]主研,国家重点研发计划项目:城市超标降雨风险预控预警与蓄排联调技术(2022YFC3800500),2022-2026。

[7]主研,国家重点研发计划项目:城镇污水处理系统减污降碳协同及污水热源利用关键技术与装备研究(2024YFC3810200),2025-2028。

[8]主研,国家水利部水利技术示范项目:山地城市雨水径流控制与利用技术示范(SF-202312),2023-2025。

[9]主研,重庆市技术创新与应用示范专项重点研发项目:适应川渝多类型地形地貌的海绵城市建设关键装备研发与应用(CSTB2022TIAD-CUX0006),2022-2025。

[10]主研,国家自然科学基金项目:重庆市多元有机废物安全高效协同资源化机理及其成套技术构建(U24A20193),2025-2028。

获奖情况

[1] 2025年度,重庆市教学成果奖一等奖:“以赛促教、以赛促学、以赛促融、以赛促创”环境类竞赛型双创育人体系构建。

[2] 2025年度,重庆大学高等教育(本科)教学成果奖特等奖:“以赛促教、以赛促学、以赛促融、以赛促创”环境类竞赛型双创育人体系构建。

[3] 2025年度,重庆市生态环境科普联盟科技传播与普及奖一等奖:海绵城市科学传播系列科普视频。

[4] 2025年度,重庆市生态环境科普联盟科技传播与普及奖二等奖:海绵城市科学传播系列活动。

[5] 2024年度,中国国际大学生创新大赛(2024)上海赛区金奖:同心智水-供水管网漏损诊断与运行调度智能化解决方案。

[6] 2024年度,中国成都第八届水处理与循环利用学术会议“水循环会议优秀奖(论文奖/报告奖)”。

[7] 2023年度,中国国际大学生创新大赛(2023)银奖:山地海绵城市源头污染控制技术。

[8] 2023年度,第九届中国国际“互联网+”大学生创新创业大赛重庆赛区金奖:山地海绵城市源头污染控制技术。

学术论文

[1] Ziyi Zhan;Lei Chen*; Hongxiang Chai; Qiang He; Zhiyu Shao. Super-Resolution Enhanced Deep Learning for Efficient and Accurate Urban Flood Simulation at the Street Scale.Water Research, 2026, 298: 125819.

[2]Lei Chen*; Tao Tao; Li He; Xiao Zhou; Pijun Duan; Zhiyu Shao; Haiyuan Ma; Hongxiang Chai.Real-time and accurate burst localization in water distribution networks with graph-based deep learning.Journal of Hydrology, 2026, 673: 135477

[3] Qiuhui Wang;Lei Chen*; Yu Bai; Qiqi Tang; Mengchen Du; Jiatai Su; Qiang He; Hongxiang Chai. From facility selection to real-time scheduling: An SWMM–MPC framework for urban drainage control under extreme rainfall.Journal of Environmental Management, 2026, 402: 129202.

[4]Tianli Chen;Lei Chen*; Zhiyu Shao; Hongxiang Chai. Enhanced resilience in urban stormwater management through model predictive control and optimal layout schemes under extreme rainfall events.Journal of Environmental Management, 2024, 366: 121767.

[5] Li He; Shasha Ji; Kunlun Xin; Zewei Chen;Lei Chen*; Jun Nan; Chenxi Song. Application of deep learning in drainage systems monitoring data repair—a case study using Con-GRU model.Water, 2023, 15(8): 1635.

[6]Lei Chen; Hexiang Yang; Jieru Yan; Jiaying Wang; Tao Tao; Kunlun Xin; Shuping Li; Zhengheng Pu; Jian Qiu. Short-term water demand forecast based on automatic feature extraction by one-dimensional convolution.Journal of Hydrology, 2022, 606: 127440.

[7] Pijun Duan; Jiuyun Liu;Lei Chen; Mingxue Li; Jingwen Pan; Zhiquan Zhang; Changwei Bai; Xinjia Chen; Hanqing Yu; Fei Chen. Polymeric products deactivate carbon-based catalysts in catalytic oxidation reactions.Nature Water, 2025: 1-13.

[8]Li He; Jun Nan;Lei Chen; Xuesong Ye; Shasha Ji; Zewei Chen; Yibo Zhang; Fangmin Wu; Bohan Liu; Zhencheng Ge; Yanhan Che. Spatiotemporal graph convolutional network using sparse monitoring data for accurate water-level reconstruction in urban drainage systems.Journal of Hydrology, 2025, 652: 132681.

[9] Li He; Jun Nan; Xuesong Ye;Lei Chen; Shasha Ji; Zewei Chen; Qiliang Xiao. A graph neural network using physical attributes to improve the system-wide nodal water-level prediction in sparsely monitored urban drainage systems.Journal of Hydrology, 2025, 663: 134306.

[10] Yuhao Ding; Cheng Cheng;Lei Chen; Jingjing Hu; Hongxiang Chai. Mechanisms of woodchip-pyrite bioretention systems for nitrogen removal and N₂O emission control.Water Research X, 2025, 28: 100351.

[11] Zheng Kong; Yunqian Song; Mei Xu; Yan Yang; Xinyue Wang; Haiyuan Ma; Yue Zhi; Zhiyu Shao;Lei Chen; Yunsong Yuan; Fujian Liu; Yanhong Xu; Qichang Ni; Shihu Hu; Honxiang Chai. Multi-media interaction improves the efficiency and stability of the bioretention system for stormwater runoff treatment.Water Research, 2024, 250: 121017.

[12] Xinyue Wang; Haiyuan Ma; Cong Huang; Zheng Xu; Yin Wang; Yan Yang; Huan Xiao; Yue Zhi;Lei Chen; Hongxiang Chai. Investigation of pollutants accumulation in the submerged zone for pyrite-based bioretention facilities under continuous rainfall events.Journal of Environmental Management, 2024, 364: 121448.

[13] Jiayi Song; Zhiyu Shao; Ziyi Zhan;Lei Chen. State-of-the-Art Techniques for Real-Time Monitoring of Urban Flooding: A Review.Water, 2024, 16(17): 2476.

[14] Mei Xu; Yue Zhi; Zheng Kong; Haiyuan Ma; Zhiyu Shao;Lei Chen; Hong Chen; Yunsong Yuan; Fujian Liu; Yanhong Xu; Qichang Ni; SHihu Hu; Hongxiang Chai. Enhancing nitrogen and phosphorus removal in plant-biochar-pyrite stormwater bioretention systems: Impact of temperature and high-frequency heavy rainfall.Environmental Research, 2024, 262: 119926.

[15] Yuting Ren; Zhiyu Shao; Qi Zhang; Wang Feng; Lei Xu; Huafeng Gong; Scott Yost;Lei Chen; Hongxiang Chai. Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code.International Journal of Disaster Risk Science, 2024, 15(5): 789-802.

[16] Zhengheng Pu; Minghai Chen; Xuanting Ji; Yanfu Fu; Wengchong Tian;Lei Chen; Tao Tao; Kunlun Xin. Intelligent real-time scheduling of water supply network based on deep learning.AQUA—Water Infrastructure, Ecosystems and Society, 2023, 72(12): 2277-2292.

[17] Zhengheng Pu; Jieru Yan;Lei Chen; Zhirong Li; Wenchong Tian; Tao Tao; Kunlun Xin. A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting.Frontiers of Environmental Science & Engineering, 2023, 17(2): 22.

[18] Hanting Wu; Yanrui Huang;Lei Chen; Yingjie Zhu; Huaizheng Li. Shape optimization of egg-shaped sewer pipes based on the nondominated sorting genetic algorithm (NSGA-II).Environmental research, 2022, 204: 111999.

发明专利

[1]一种基于深度神经网络的供水泵站调度方法,ZL202110787051.3

[2] 一种兼顾降雨时空分布不均匀的城市洪涝高精度预测方法,ZL202410603917.4

[3]一种具有脱氮除磷功能的装配式生物滞留池,ZL202411074166.8

[4]一种阶梯形生物滞留设施,ZL202411343526.X

软件著作权

[1]城市节点精细化内涝风险预测系统(2024SR0857353)

[2]河湖库群水资源优化利用研究管理平台(2024SR1026750)

[3]基于深度学习的供水管网用水量预测系统(2024SR0996967)

[4]绿灰蓝基础设施优化和联调系统(2024SR0993310)

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