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Jonas Bauer

Researcher at Karlsruhe Institute of Technology

Publications -  9
Citations -  42

Jonas Bauer is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Geology & Aerosol. The author has an hindex of 1, co-authored 2 publications receiving 9 citations.

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Indications that weathering of evaporite minerals affects groundwater salinity and As mobilization in aquifers of the northwestern Hetao Basin, China

TL;DR: In this paper, the influence of evaporite minerals weathering on groundwater salinity and As mobilization were investigated by lithological and mineralogical analysis of sediments from two boreholes in combination with groundwater hydrogeochemical characteristics analysis in the northwestern Hetao Basin.
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Geochemistry and evolution of groundwater resources in the context of salinization and freshening in the southernmost Mekong Delta, Vietnam

TL;DR: In this paper , a comprehensive groundwater investigation was conducted to evaluate its composition in the context of Quaternary marine transgression and regression cycles, geochemical processes as well as groundwater extraction.
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Variations of PM2.5 sources in the context of meteorology and seasonality at an urban street canyon in Southwest Germany

TL;DR: In this paper , the authors characterized fine particulate matter (PM2.5) at an urban street canyon in southwest Germany, in summer 2019 and winter 2020, in order to assess the factors controlling urban air pollution.
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An Improved Groundwater Model Framework for Aquifer Structures of the Quaternary-Formed Sediment Body in the Southernmost Parts of the Mekong Delta, Vietnam

TL;DR: In this paper , the authors used a finite element groundwater model with boundary expansion to the sea, and updated the latest data on hydrogeological profiles, groundwater levels, and exploitation.
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Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir

TL;DR: An integrated novel framework containing three modules remote sensing technology, cruise monitoring technology, and deep learning to achieve a robust performance for environmental monitoring and the subsequent assessment of the Qingcaosha Reservoir was developed.