Abteilung Oberflächengewässer

Gekoppelte physikalische und geochemische Modellierung von Seen


Wir führen numerische Simulationen der physikalischen und geochemischen Prozesse in Seen durch. Die numerischen Modelle nutzen wir, um:

  • die Auswirkungen menschlicher Aktivitäten auf Seen abzuschätzen, mit dem Ziel, Strategien für das Management der Seen zu erarbeiten.
  • Budgets, Quellen, Senken und Aufenthaltszeiten von Substanzen in Seen zu bestimmen, zum Beispiel von Nährstoffen oder gelösten Gasen.
  • geochemische Prozesse in Seen zu untersuchen und deren Prozessraten zu bestimmen.

Zu diesem Zweck verwenden wir unter anderem folgende Modell-Software:

Ausgewählte Publikationen

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   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=23901, pid=124)
      originalId => protected23901 (integer)
      authors => protected'Bärenbold, F.; Kipfer, R.; Schmid, M.' (53 chars)
      title => protected'Dynamic modelling provides new insights into development and maintenance of 
         Lake Kivu's density stratification
' (110 chars) journal => protected'Environmental Modelling and Software' (36 chars) year => protected2022 (integer) volume => protected147 (integer) issue => protected'' (0 chars) startpage => protected'105251 (15 pp.)' (15 chars) otherpage => protected'' (0 chars) categories => protected'Lake Kivu; Simstrat-AED2; 1d modelling; gas accumulation; hydrothermal groun
         dwater
' (82 chars) description => protected'Lake Kivu is a 485 m deep, Central-East African rift lake with huge amounts
         of carbon dioxide and methane dissolved in its stably stratified deep waters
         . In view of future large-scale methane extraction, one-dimensional numerica
         l modelling is an important and computationally inexpensive tool to analyze
         the evolution of stratification and the content of gases in Lake Kivu. For t
         his purpose, we coupled the physical lake model Simstrat to the biogeochemic
         al library AED2. Compared to an earlier modelling approach, this coupled app
         roach offers several key improvements, most importantly the dynamic evaluati
         on of mixing processes over the whole water column, including a parameteriza
         tion for double-diffusive transport, and the density-dependent stratificatio
         n of groundwater inflows. The coupled model successfully reproduces today's
         near steady-state of Lake Kivu, and we demonstrate that a complete mixing ev
         ent ∼2000 years ago is compatible with today's physical and biogeochemical
          state.
' (995 chars) serialnumber => protected'1364-8152' (9 chars) doi => protected'10.1016/j.envsoft.2021.105251' (29 chars) uid => protected23901 (integer) _localizedUid => protected23901 (integer)modified _languageUid => protectedNULL _versionedUid => protected23901 (integer)modified pid => protected124 (integer)
1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=22548, pid=124) originalId => protected22548 (integer) authors => protected'Calamita, E.; Vanzo, D.; Wehrli, B.; Schmid, M.' (67 chars) title => protected'Lake modeling reveals management opportunities for improving water quality d
         ownstream of transboundary tropical dams
' (116 chars) journal => protected'Water Resources Research' (24 chars) year => protected2021 (integer) volume => protected57 (integer) issue => protected'4' (1 chars) startpage => protected'e2020WR027465 (20 pp.)' (22 chars) otherpage => protected'' (0 chars) categories => protected'' (0 chars) description => protected'Water quality in tropical rivers is changing rapidly. The ongoing boom of da
         m construction for hydropower is one of the drivers for this change. In part
         icular, the stratification in tropical reservoirs induces oxygen deficits in
          their deep waters and warmer surface water temperatures, which often transl
         ate into altered thermal and oxygen regimes of downstream river systems, wit
         h cascading consequences for the entire aquatic ecosystem. Operation rules o
         f reservoirs, involving water intakes at different levels, could mitigate th
         e consequences for downstream water quality. However, optimized water manage
         ment of deep reservoirs relies on predictive models for water quality, but s
         uch predictive capability is often lacking for tropical dams. Here we focus
         on the Zambezi River Basin (southern Africa) to address this gap. Using the
         one-dimensional General Lake Model, we reproduced the internal dynamics of t
         he transboundary Lake Kariba, the world’s largest artificial lake by volum
         e, created by damming the Zambezi River at the border between Zambia and Zim
         babwe. Through this modeling approach, we assessed and quantified the therma
         l and oxygen alteration in the Zambezi River downstream of the reservoir. Re
         sults suggest that these alterations depend directly on Kariba’s stratific
         ation dynamics, its water level and the transboundary policies for water wit
         hdrawal from the reservoir. Scenario calculations indicate a large potential
          for mitigating downstream water quality alterations by implementing a hypot
         hetical selective withdrawal technology. However, we show that a different a
         nd cooperative management of the existing infrastructure of Kariba Dam has t
         he potential to mitigate most of the actual water quality alterations.
' (1742 chars) serialnumber => protected'0043-1397' (9 chars) doi => protected'10.1029/2020WR027465' (20 chars) uid => protected22548 (integer) _localizedUid => protected22548 (integer)modified _languageUid => protectedNULL _versionedUid => protected22548 (integer)modified pid => protected124 (integer)
2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=17061, pid=124) originalId => protected17061 (integer) authors => protected'Kobler, U. G.; Wüest, A.; Schmid, M.' (57 chars) title => protected'Effects of lake – reservoir pumped-storage operations on temperature and w
         ater quality
' (88 chars) journal => protected'Sustainability' (14 chars) year => protected2018 (integer) volume => protected10 (integer) issue => protected'6' (1 chars) startpage => protected'1968 (15 pp.)' (13 chars) otherpage => protected'' (0 chars) categories => protected'hydropower; stratification; reservoir modeling; recommissioning' (63 chars) description => protected'Pumped-storage (PS) hydropower plants are expected to make an important cont
         ribution to energy storage in the next decades with growing market shares of
          new renewable electricity. PS operations affect the water quality of the co
         nnected water bodies by exchanging water between them but also by deep water
          withdrawal from the upper water body. Here, we assess the importance of the
         se two processes in the context of recommissioning a PS hydropower plant by
         simulating different scenarios with the numerical hydrodynamic and water qua
         lity model CE-QUAL-W2. For extended PS operations, the results show signific
         ant impacts of the water exchange between the two water bodies on the season
         al dynamics of temperatures, stratification, nutrients, and ice cover, espec
         ially in the smaller upper reservoir. Deep water withdrawal was shown to str
         ongly decrease the strength of summer stratification in the upper reservoir,
          shortening its duration by ~1.5 months, consequently improving oxygen avail
         ability, and reducing the accumulation of nutrients in the hypolimnion. Thes
         e findings highlight the importance of assessing the effects of different op
         tions for water withdrawal depths in the design of PS hydropower plants, as
         well as the relevance of defining a reference state when a PS facility is to
          be recommissioned.
' (1311 chars) serialnumber => protected'' (0 chars) doi => protected'10.3390/su10061968' (18 chars) uid => protected17061 (integer) _localizedUid => protected17061 (integer)modified _languageUid => protectedNULL _versionedUid => protected17061 (integer)modified pid => protected124 (integer)
3 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=14433, pid=124) originalId => protected14433 (integer) authors => protected'Schmid, M.; Ostrovsky, I.; McGinnis, D. F.' (62 chars) title => protected'Role of gas ebullition in the methane budget of a deep subtropical lake: Wha
         t can we learn from process-based modeling?
' (119 chars) journal => protected'Limnology and Oceanography' (26 chars) year => protected2017 (integer) volume => protected62 (integer) issue => protected'6' (1 chars) startpage => protected'2674' (4 chars) otherpage => protected'2698' (4 chars) categories => protected'' (0 chars) description => protected'We analyzed the processes affecting the methane (CH<sub>4</sub>) budget in L
         ake Kinneret, a deep subtropical lake, using a suite of three models: (1) a
         bubble model to determine the fate of CH<sub>4</sub> bubbles released from t
         he sediment; (2) the one-dimensional physical lake model Simstrat to calcula
         te the mixing dynamics; and (3) a biogeochemical model implemented in Aquasi
         m to quantify the CH<sub>4</sub> sources and sinks. The key pathways modeled
          include diffusive and bubble release of CH<sub>4</sub> from the sediment, a
         erobic CH<sub>4</sub> oxidation, and atmospheric gas exchange. The temporal
         and spatial dynamics of dissolved CH<sub>4</sub> concentrations observed in
         the lake during 3 years could be well represented by the combined models. Re
         markably, the relative contributions of ebullition and diffusive transport t
         o the accumulation of CH<sub>4</sub> in the hypolimnion during the stratifie
         d period could not be accurately constrained based only on the observed evol
         ution of CH<sub>4</sub> concentrations in the water column. Importantly, how
         ever, our analysis showed that most (∼99%) of the CH<sub>4</sub> supplied
         to the water column by bubble dissolution and diffusive transport from the s
         ediment is aerobically oxidized, whereas a substantial fraction (∼60%) of
         the sediment-released bubble CH<sub>4</sub> is directly transported to the a
         tmosphere. Ebullition is thus responsible for the bulk of the emissions from
          Lake Kinneret to the atmosphere. Therefore, as in all freshwaters, ebulliti
         on quantification is crucial for accurately assessing CH<sub>4</sub> emissio
         ns to the atmosphere. This task remains challenging due to high spatio-tempo
         ral variability, but combining in situ measurements with a process-based mod
         eling can help to better constrain flux estimates.
' (1798 chars) serialnumber => protected'0024-3590' (9 chars) doi => protected'10.1002/lno.10598' (17 chars) uid => protected14433 (integer) _localizedUid => protected14433 (integer)modified _languageUid => protectedNULL _versionedUid => protected14433 (integer)modified pid => protected124 (integer)
Bärenbold, F.; Kipfer, R.; Schmid, M. (2022) Dynamic modelling provides new insights into development and maintenance of Lake Kivu's density stratification, Environmental Modelling and Software, 147, 105251 (15 pp.), doi:10.1016/j.envsoft.2021.105251, Institutional Repository
Calamita, E.; Vanzo, D.; Wehrli, B.; Schmid, M. (2021) Lake modeling reveals management opportunities for improving water quality downstream of transboundary tropical dams, Water Resources Research, 57(4), e2020WR027465 (20 pp.), doi:10.1029/2020WR027465, Institutional Repository
Kobler, U. G.; Wüest, A.; Schmid, M. (2018) Effects of lake – reservoir pumped-storage operations on temperature and water quality, Sustainability, 10(6), 1968 (15 pp.), doi:10.3390/su10061968, Institutional Repository
Schmid, M.; Ostrovsky, I.; McGinnis, D. F. (2017) Role of gas ebullition in the methane budget of a deep subtropical lake: What can we learn from process-based modeling?, Limnology and Oceanography, 62(6), 2674-2698, doi:10.1002/lno.10598, Institutional Repository