资源环境学院毓秀资环名家讲坛(第十一讲)——dr. heye bogena-凯发app官方网站

 资源环境学院毓秀资环名家讲坛(第十一讲)——dr. heye bogena-凯发app官方网站

学术讲座

资源环境学院毓秀资环名家讲坛(第十一讲)——dr. heye bogena

2021-11-24

应兰州大学资源环境学院、西部环境教育部重点实验室贺缠生教授邀请,德国于利希研究中心高级研究员,德国tereno (terrestrial environmental observatories)国际观测网的负责人dr. heye bogena于2021年11月30日进行学术交流并作线上学术报告,欢迎广大师生参加!


人:dr. heye bogena 德国于利希研究中心高级研究员

题   目:terrestrial environmental observatories and upscaling field observations to watershed/regional scales for hydrological research

人:贺缠生  教授  兰州大学资源环境学院

时   间:2021年11月30日(星期二)19:30-21:30

zoom id920 394 4996;password:123456;link:

专家简介

dr. heye bogena,德国亥姆霍兹联合会于利希研究中心高级研究员,波恩大学博士,主要研究多尺度(土壤颗粒-土柱剖面-坡面-流域)陆地环境因子与水文过程的相互作用及其机理和区域化问题,将小尺度的水文过程信息转换到大尺度研究中。dr. heye bogena开发的soilnet土壤水分无线传感器监测网络是国际通用的土壤水文过程研究的重要手段,自2008年开始是tereno(terrestrial environmental observatories)国际观测网的负责人。dr. heye bogena已发表isi文章超过114篇,h因子为36。他是sensor,frontiers in water及vadose zone journal等多个国际期刊编委,同时是德国多项科研机构的评审人(如dfg-cosmic sense,eu-h2020 atlas,helmholtz-moses)。

introduction

dr. heye bogena gets ph.d degree from university bonn at 2001, and he has been employed as senior scientist at the institute of agrosphere at forschungszentrum jülich since 2005. from 2013-2018 he was guest lecturer at the institute of biogeochemistry and pollutant dynamics, eth zürich. since 2019 he is lecturer (privatdozent) at the faculty of mathematics and natural sciences, university bonn. furthermore, he is principle investigator in numerous third-party funded projects (e.g. dfg-cosmic sense, eu-h2020 atlas, and helmholtz-moses), as well as author and co-author of 114 isi-listed publications (web of science h-index: 36).

since 2008 he is responsible for the coordination of the helmholtz project tereno (terrestrial environmental observatories) and setting up the tereno with the aim to investigate consequences of global change for terrestrial ecosystems and the socioeconomic implications. his research focuses on the following topics. he is keen on developing improved measurement techniques and strategies for integrating environmental data to characterize hydrologic systems at multiple scales and gaining a better understanding of hydrologic processes and to the integral system response to environmental change. finally, he applies and further develop process-based, integrated hydrologic models that account for complex feedbacks between hydrologic compartments to improve prediction of hydrologic processes in watersheds.

兰州大学西部环境教育部重点实验室

兰州大学资源环境学院

2021年11月24日

网站地图