Zobrazeno 1 - 10
of 476
pro vyhledávání: '"F. Heße"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 357-374 (2024)
The geostatistical characterization of the subsurface is confronted with the double challenge of large uncertainties and high exploration costs. Making use of all available data sources is consequently very important. Bayesian inference is able to mi
Externí odkaz:
https://doaj.org/article/b94c172368214831b0a9af72939e1a0b
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 3161-3182 (2022)
Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in many applications of, for example, earth sciences. Valuable information can be extracted from these correlations, also helping to address the often encount
Externí odkaz:
https://doaj.org/article/e23b5dfc92964d119a93e36015ed9915
Publikováno v:
Biogeosciences, Vol 19, Pp 665-688 (2022)
The subsurface is a temporally dynamic and spatially heterogeneous compartment of the Earth's critical zone, and biogeochemical transformations taking place in this compartment are crucial for the cycling of nutrients. The impact of spatial heterogen
Externí odkaz:
https://doaj.org/article/768557ab85094acdb76458f1dd1a0667
Autor:
R. Kumar, F. Heße, P. S. C. Rao, A. Musolff, J. W. Jawitz, F. Sarrazin, L. Samaniego, J. H. Fleckenstein, O. Rakovec, S. Thober, S. Attinger
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Excess fertilizer use causes subsurface contamination. Here, the authors conduct an assessment of water quality vulnerability across Europe, finding that 75% of agricultural regions are susceptible to nitrate contamination for least one-third of the
Externí odkaz:
https://doaj.org/article/b818ad8d408945abbd52f4488e7bd5ea
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 1511-1526 (2020)
Groundwater is the biggest single source of high-quality freshwater worldwide, which is also continuously threatened by the changing climate. In this paper, we investigate the response of the regional groundwater system to climate change under three
Externí odkaz:
https://doaj.org/article/fcb9733f7b8946de825e77518efdcd3a
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 171-190 (2019)
Groundwater travel time distributions (TTDs) provide a robust description of the subsurface mixing behavior and hydrological response of a subsurface system. Lagrangian particle tracking is often used to derive the groundwater TTDs. The reliability o
Externí odkaz:
https://doaj.org/article/0105e3c0891a477e9c46e220e2007603
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 5675-5695 (2018)
This paper considers questions related to the adoption of stochastic methods in hydrogeology. It looks at factors affecting the adoption of stochastic methods including environmental regulations, financial incentives, higher education, and the col
Externí odkaz:
https://doaj.org/article/6521a9d5eef24a7a86a21b3ac8628a2f
Autor:
M. Jing, F. Heße, R. Kumar, W. Wang, T. Fischer, M. Walther, M. Zink, A. Zech, L. Samaniego, O. Kolditz, S. Attinger
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 1989-2007 (2018)
Most large-scale hydrologic models fall short in reproducing groundwater head dynamics and simulating transport process due to their oversimplified representation of groundwater flow. In this study, we aim to extend the applicability of the mesosc
Externí odkaz:
https://doaj.org/article/575522ebb9794037b1802c29577c01f7
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Iss 1, Pp 549-570 (2017)
Travel-time distributions are a comprehensive tool for the characterization of hydrological system dynamics. Unlike the streamflow hydrograph, they describe the movement and storage of water within and throughout the hydrological system. Until recent
Externí odkaz:
https://doaj.org/article/f27a0d424d3f41d1b671841ecc20db48
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