当前位置: X-MOL首页全球导师 国内导师 › 孟珊珊

个人简介

孟珊珊,山东滨州人,中共党员,北京师范大学地图学与地理信息系统博士,2020年 4 月入职地理与环境学院,讲师。 参与课题 1. 参与“削减分布式水文模拟不确定性的多源数据同化方法”(2012-2014),国家自然科学基金(青年基金,51009001) 2. 参与“三北防护林生态系统水文过程演变归因及生态脆弱性研究”(2014-2018), 国家自然科学基金(面上基金,41471019); 3. 参与“基于定量遥感和数据同化的区域作物监测与评价研究”(2016-2019),国家自然科学基金(中英国际合作项目 61661136006); 4. 参与“水循环关键过程的动态监测与响应分析”(2016-2020),国家重点研发计划(2016YFA0600104); 5. 参与“中小河流域洪水高精度实时预报系统研究”(2016-2017),北京市朝阳区协同创新项目。

研究领域

生态水文

生态水文模拟不确定性与数据同化;不同尺度陆面水分循环及与植被变化的相互作用;遥感应用与生态环境监测

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1. Meng S, Xie X, Liang S. Assimilation of soil moisture and streamflow observations to improve flood forecasting with considering runoff routing lags. Journal of Hydrology, 2017, 550:568-579. (SCI, 2 区 Top ) 2. Meng S, Xie X, Yu X. Tracing Temporal Changes of Model Parameters in Rainfall-Runoff Modeling via a Real-Time Data Assimilation. Water, 2016, 8(1):19. (SCI,3 区) 3. Xie X.*, Meng S., Liang S., and Yao Y. Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy, Hydrology and Earth System Science, 2014, 18(10), 3923-3936. (SCI, 2 区 Top ) 4. Yu X, Xie X, Meng S. Modeling the Responses of Water and Sediment Discharge to Climate Change in the Upper Yellow River Basin, China. Journal of HydrologicEngineering, 2017, 22(12): 05017026. (SCI 3 区) 5. Yao Y, Xie X, Meng S, Zhu B, Zhang K, Wang Y. Extended Dependence of the Hydrological Regime on the Land Cover Change in the Three-North Region of China: An Evaluation under Future Climate Conditions. Remote Sensing, 2019, 11(1). (SCI, 2 区) 6. Zhang K, Xie X, Zhu B, Meng S, Yao Y. Unexpected groundwater recovery with decreasing agricultural irrigation in the Yellow River Basin, Agricultural Water Management, 2019, 213:858-867. (SCI, 1 区 Top )

推荐链接
down
wechat
bug