导师介绍

朱文彬

个人简况: 

  男,山东青岛人,理学博士,中国科学院地理科学与资源研究所副研究员,硕士生导师,水资源研究室副主任,中科院青年创新促进会会员。主要从事遥感水文与水资源管理研究,主持国家自然科学基金两项(青年基金“时空二维特征空间框架下土壤含水量和蒸散发的遥感估算方法研究”、面上项目“大尺度土壤含水量与陆面蒸散发耦合优化模拟研究”),担任国家重点研发计划专项“国家水资源承载力评价与战略配置”、中科院重点部署项目“城市生态水文与水资源安全研究”等项目专题负责人,参与国家自然科学基金面上项目“基于径流的山区降水估算方法研究”和国家自然科学基金西南河流重大研究计划培育项目“变化环境下澜沧江流域径流演化规律及其驱动机制研究”。已发表学术论文50余篇,其中SCI论文30余篇。    

代表性学术论文:  

[1] Zhu, W., Wei, J., Xiu, H., et al. Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework. Journal of Hydrology, 2021, 592, 128527. 

[2] Zhu, W., Jia, S., Lall, U., et al. An observation-driven optimization method for continuous estimation of evaporative fraction over large heterogeneous areas. Remote Sensing of Environment, 2020, 247, 111887. 

[3] Zhu, W., Jia, S., Devineni, N., et al. Evaluating China’s water security for food production: The role of rainfall and irrigation. Geophysical Research Letters, 46, 11155-11166. 

[4] Zhu, W., Jia, S., Lall, U., et al. Relative contribution of climate variability and human activities on the water loss of the Chari/Logone River discharge into Lake Chad: A conceptual and statistical approach. Journal of Hydrology, 2019, 569, 519-531.   

[5] Zhu, W., Lv, A., Jia, S., et al. Retrieval of all-weather daytime air temperature from MODIS products. Remote Sensing of Environment, 2017, 189, 152-163.  

[6] Zhu, W., Jia, S., Lv, A. A time domain solution of the Modified Temperature Vegetation Dryness Index (MTVDI) for continuous soil moisture monitoring. Remote Sensing of Environment, 2017, 200, 1-17. 

[7] Zhu, W., Jia, S., Lv, A. A universal Ts-VI triangle method for the continuous retrieval of evaporative fraction from MODIS products. Journal of Geophysical Research: Atmospheres, 2017, 122, 2017JD026964. 

[8] Zhu, W., Lv, A., Jia, S., Sun, L. Development and evaluation of the MTVDI for soil moisture monitoring. Journal of Geophysical Research: Atmospheres, 2017, 122, 5533-5555. 

[9] Zhu, W., Lv, A., Jia, S. Estimating of daily maximum and minimum air temperature using MODIS land surface temperature products. Remote Sensing of Environment, 2013, 130, 62-73. 

招生专业:自然地理学 

招生方向:水文水资源   

联系方式:电话:010-64880762Email: zhuwb@igsnrr.ac.cn   

 

更新日期:2021年5月31日