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张伟，工学博士，副教授，研究生导师，毕业于同济大学环境工程专业，北京建筑大学金字塔计划“建大英才”，主讲《城市雨水工程》、《城市雨水与水环境系统工程》等本科和研究生课程，获得北京建筑大学第十二届校级青年教师教学基本功比赛二等奖和最佳教学演示奖，指导研究生获研究生国家奖学金。
近年来，主要从事海绵城市建设、城市雨水管理、径流污染控制与模拟等方面研究工作。主持国家自然科学基金等科研和技术服务项目10余项，发表学术期刊论文40余篇，研发的多项城市雨水控制利用技术获国家发明专利授权，研究成果获上海市优秀工程咨询成果一等奖、全国绿色建筑创新奖一等奖、北京高校青年教师优秀社会调研成果二等奖等。作为主要起草人员参编《海绵城市建设评价标准》、《低影响开发雨水控制利用 设施分类》等国家标准。长期担任Environmental Science and Pollution Research、Science of the Total Environment、Journal of Environmental Management、Environmental Pollution、Water Resources Management等近10余个SCI期刊特邀审稿人。

联系方式
E-mail: zhangwei@bucea.edu.cn

主持科研项目
2017-2019，主持国家自然科学基金“源头径流控制土壤渗透设施水量-水质耦合模型不确定性研究”；
2019-2020，主持北京市教委科技计划一般项目“合流制管道沉积物利用的生物滞留设施磷强化去除和转归行为及模拟研究”；
2019-2020，主持“示范工程第三方监测数据分析与模型模拟分析”
2019-2020，主持“常州饮用水水源地周边城市雨水径流及应急备用水源水质监测”；
2018-2019，主持固原海绵城市建设及运营关键技术研究项目“固原生态滞留设施对典型非点源污染物削减效果优化研究”；
2018-2019，主持大连庄河海绵城市研究课题“庄河黑臭河道疏浚底泥污染特征和资源化利用潜力研究”；
2018-2019，主持大连庄河海绵城市研究课题“基于海绵城市建设与黑臭水体治理耦合的生物滞留设施径流污染控制技术研发与示范”；
2018-2019，主持国家标准委国家标准编制项目“《低影响开发雨水控制利用 设施分类》国家标准研制”；
2018-2019，主持市属高校基本科研业务费项目“基于Pseudo-Bayesian的绿色屋顶雨水渗蓄过程模拟的可靠性研究”；
2018-2019，主持企业委托课题“海绵厂区雨水管理案例模拟分析”；
2016-2018，主持北京建筑大学金字塔人才—建大英才项目

发表学术论文（部分）
Zhang, W*, Dai, J., Che, W., Sun, H. (2020). Runoff quality and quantity after usage of layered or mixed substrate green roofs a laboratory study. Desalination and Water Treatment, 178, 396-404.
Sang, M., Huang, M., Zhang. W.*, Che, W. & Sun, H. (2019). A pilot bioretention system with commercial activated carbon and river sediment-derived biochar for enhanced nutrient removal from stormwater. Water Science and Technology, 84(4), 707-716.
Cun, C., Zhang, W.*, Che, W., & Sun, H. (2019). Review of urban drainage and stormwater management in ancient China. Landscape and Urban Planning, 190, 103600.
Zhang, W.*, Sang, M., Che, W., & Sun, H. (2019). Nutrient removal from urban stormwater runoff by an up-flow and mixed-flow bioretention system. Environmental Science and Pollution Research, 26:17731–17739.
Zhang W.*, Zhong Xi., Che W., Sun H., Zhang H. (2019). Removal of nutrients in a bioretention system using media amended with river sediment: a laboratory study, Desalination and Water Treatment, 147, 203-210.
Zhang, W.*, Zhong, X., Che, W., Sun, H., & Zhang, H. (2018). A laboratory study to determine the use of polluted river sediment as a substrate for extensive green roofs. Water Science and Technology, 78(11), 2247-2255.
Zhang, W.*, Zhong, X., & Che, W. (2018). Nutrient leaching from extensive green roofs with different substrate compositions: a laboratory study. Water Science and Technology, 77(4), 1007-1014.
Zhang, W., Li, T., & Dai, M. (2016). Uncertainty assessment of deterministic water quality model for a combined sewer system with the GLUE method. Desalination and Water Treatment, 57(32), 14888-14896.
Zhang, W., Li, T., & Dai, M. (2015). Influence of rainfall characteristics on pollutant wash-off for road catchments in urban Shanghai. Ecological Engineering, 81, 102-106.
Zhang, W., & Li, T. (2015). Particle size distributions in combined sewer overflows in a high-intensity urban catchment in Shanghai, China. Desalination and Water Treatment, 56(3), 655-664.
Zhang, W., Li, T., & Dai, M. (2015). Uncertainty assessment of water quality modeling for a small-scale urban catchment using the GLUE methodology: a case study in Shanghai, China. Environmental Science and Pollution Research, 22(12), 9241-9249.
Zhang, W., & Li, T. (2015). The influence of objective function and acceptability threshold on uncertainty assessment of an urban drainage hydraulic model with generalized likelihood uncertainty estimation methodology. Water Resources Management, 29(6), 2059-2072.
Zhang, W., Che, W., Liu, D. K., Gan, Y. P., & Lv, F. F. (2012). Characterization of runoff from various urban catchments at different spatial scales in Beijing, China. Water Science and Technology, 66(1), 21-27.
Li, T., Zhang, W., Feng, C., & Shen, J. (2014). Performance assessment of separate and combined sewer systems in metropolitan areas in southern China. Water Science and Technology, 69(2), 422-429.
Zhang K, Che W, Zhang W, et al. Discussion about initial runoff and volume capture ratio of annual rainfall. Water Science and Technology, 2016, 74(8): 1764-1772.