孟长青
时间: 2025-07-19 来源:
姓名:孟长青
职称:副教授、硕士生导师
研究方向(Focus Area):
1.水、火、风、光、蓄、储互补发电与参与电力市场的优化决策;
2.水电站水库群防洪、发电、供水等多目标智慧调度及风险管理;
3.气候变化对水资源的影响响应机制;
4.流域水循环过程模拟与水文预报方法研究。
联系方式:
办公地址:主楼B座507
电子邮箱:els_meng@ncepu.edu.cn
办公电话:010-61771750
一、个人简介及主要荣誉称号
孟长青,女,1988年11月生。2012年于华中科技大学获工学学士学位,2017年于华中科技大学获博士学位,随后在清华大学从事博士后研究。2019年入职华北电力大学,2020年获聘硕士研究生导师。以双聘身份工作于国家怀柔实验室。兼任中国水资源战略研究会会员、全球水伙伴中国委员会会员。
长期从事水风光联合预报与水库调度、流域水循环与水文预报、水旱灾害防灾减灾、气候变化对水资源的影响响应等方向的研究工作。主持国家级科研项目2项,参与横向课题6项,累计培养硕士研究生9名。迄今已发表学术论文20余篇,申请国家发明专利4项。
二、教学与人才培养情况
主讲本科生课程《地理信息系统》、研究生课程《3S技术及其应用》,参与出版《水资源管理》教材,主持研究生慕课《3S技术及其应用》。
三、主要科研项目情况
1、纵向项目:
【1】国家自然科学基金委员会, 青年项目,41901028,2018-2020,26万元
2、横向项目:
【1】福建水口发电集团有限公司, 2022-至今,54万元
【2】中国长江三峡集团, 2015-2017,200万元
四、主要获奖
【1】北京市教育委员会,青年教师教学基本功比赛论文比赛优秀奖,2022年
【2】中国水利教育协会,水利类专业青年教师讲课竞赛三等奖,2022年
【3】中国水利协会,指导学生获得第三届水科学数值模拟创新大赛优胜奖,2022年
五、代表性论著(20篇以内)
[1] Changqing Meng, Keying Liu,Yue Li,Yongqiang Wang,Zhihan Hu,Zijiao Dong,haichun wu,Yuankun Wang*. Identification of Compound Flood-Heatwave Extremes in the Yangtze River Basin and Their Socio-Economic Exposure,Journal of Hydrology.
[2] Changqing Meng, Zijiao Dong, Keying Liu, Yuankun Wang, Yuqing Zhang, Yulong Zhu,Identification and analysis of evolution characteristics of flash drought based on three-dimensional perspective: A case study in the Jialing River basin. Urban Climate, 2024, 53: 101803.
[3]Meng Changqing, Hu Zhihan, Li Yue, et al. The spatiotemporal evolution of dry (wet), cold (hot) and rainstorm whiplash events and their socioeconomic exposure. Urban Climate, 2024, 58: 102185
[4]Meng Changqing, Hu Zhihan, Wang Yuankun, et al. A forecasting method for corrected numerical weather prediction precipitation based on modal decomposition and coupling of multiple intelligent algorithms. Meteorology and Atmospheric Physics, 2024, 136(5): 1-14.
[5] Men, Baohui, Libo Han, and Changqing Meng*. Evaluation and Simulation of Water Security in the Circum-Bohai Sea Region of China. Sustainability. 2021; 13(21).
[6] Changqing Meng, Jianzhong Zhou*, Deyu Zhong, Chao Wang, Jun Guo. An Improved Grid-Xinanjiang Model and Its Application in the Jinshajiang Basin, China. Water, 2018, 10(9), 1265.
[7] Changqing Meng; Jianzhong Zhou*; Minglong Dai; Shuang Zhu; Xiaoming Xue; Lei Ye; Variable infiltration capacity model with BGSA-based wavelet neural network,Stochastic Environmental Research and Risk Assessment, 2017, 31(7):1-15.
[8] Changqing Meng; Jianzhong Zhou*; Muhammad Tayyab; Shuang Zhu; Hairong Zhang; Integrating Artificial Neural Networks into the VIC Model for Rainfall-Runoff Modeling, Water, 2016, 8(9).
[9] Yongyuan Lang, Changqing Meng*; Runoff optimization and control for basin water allocation. Water Supply, 2022, 22 (3): 2630–2643.
[10] Zhu Yulong, Zhou Yang, Xu Xiaorong, et al. Ratio limits of water storage and outflow in a rainfall–runoff process. Hydrology and Earth System Sciences, 2024, 28(17): 4251-4261.