Hoseung Jung

Hoseung Jung
Humboldt-Universität zu Berlin | HU Berlin · Geography Institute

Master of Science

About

6
Publications
658
Reads
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45
Citations
Citations since 2017
6 Research Items
45 Citations
2017201820192020202120222023051015
2017201820192020202120222023051015
2017201820192020202120222023051015
2017201820192020202120222023051015
Additional affiliations
January 2017 - January 2017
Humboldt-Universität zu Berlin
Position
  • PhD Student
February 2016 - December 2016
Korea Environment Institute
Position
  • Researcher
April 2015 - December 2015
Leibniz-Institute of Freshwater Ecology and Inland Fisheries
Position
  • Student
Description
  • Master thesis Nitrogen dynamics under intermittent flow regimes in an urban stream: a microcosm study
Education
April 2014 - December 2015
Technische Universität Hamburg
Field of study
  • Environmental engineering
May 2005 - February 2013
Korea University
Field of study
  • Environmental science & ecological engineering

Publications

Publications (6)
Article
River water quality monitoring at limited temporal resolution can lead to imprecise and inaccurate classification of physicochemical status due to sampling error. Bayesian inference allows for the quantification of this uncertainty, which can assist decision-making. However, implicit assumptions of Bayesian methods can cause further uncertainty in...
Article
Full-text available
The ecosystem function of vegetation to attenuate export of nutrients is of substantial importance for securing water quality. This ecosystem function is at risk of deterioration due to an increasing risk of large-scale forest dieback under climate change. The present study explores the response of the nitrogen (N) cycle of a forest catchment in th...
Article
Full-text available
River water quality monitoring at limited temporal resolution can lead to imprecise and inaccurate classification of physicochemical status due to sampling error. Bayesian inference allows for the quantification of this uncertainty, which can assist decision-making. However, implicit assumptions of Bayesian methods can cause further uncertainty in...
Article
Full-text available
Non-flow periods in fluvial ecosystems are a global phenomenon. Streambed drying and rewetting by sporadic rainfalls could drive considerable changes in the microbial communities that govern stream nitrogen (N) availability at different temporal and spatial scales. We performed a microcosm-based experiment to investigate how dry period duration (DP...

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