Articles | Volume 381
https://doi.org/10.5194/piahs-381-7-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-381-7-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Post-conference publication
| 
01 Aug 2019
Post-conference publication |
| 01 Aug 2019
| 01 Aug 2019
Integrated approach to study river fluxes, water and sediment sources apportionment in sparsely monitored catchment
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Pavel Terskii
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Thomas Pluntke
Technische Universität Dresden, Chair of Meteorology, Dresden,
Germany
Ludmila Efimova
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Vasiliy Efimov
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Vladimir Belyaev
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Anna Terskaia
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Michal Habel
Institute of Geography, Kazimierz Wielki University, Bydgoszcz 85-064, Poland
Daniel Karthe
Engineering Faculty, German-Mongolian Institute for Resources and
Technology, Nalaikh, Mongolia
Christian Bernhofer
Technische Universität Dresden, Chair of Meteorology, Dresden,
Germany
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Ivan Vorobevskii, Rico Kronenberg, and Christian Bernhofer
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Preprint withdrawn
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Ekaterina P. Rets, Viktor V. Popovnin, Pavel A. Toropov, Andrew M. Smirnov, Igor V. Tokarev, Julia N. Chizhova, Nadine A. Budantseva, Yurij K. Vasil'chuk, Maria B. Kireeva, Alexey A. Ekaykin, Arina N. Veres, Alexander A. Aleynikov, Natalia L. Frolova, Anatoly S. Tsyplenkov, Aleksei A. Poliukhov, Sergey R. Chalov, Maria A. Aleshina, and Ekaterina D. Kornilova
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Hydrol. Earth Syst. Sci., 22, 4547–4564, https://doi.org/10.5194/hess-22-4547-2018, https://doi.org/10.5194/hess-22-4547-2018, 2018
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Geosci. Model Dev., 11, 497–519, https://doi.org/10.5194/gmd-11-497-2018, https://doi.org/10.5194/gmd-11-497-2018, 2018
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Northern peatlands store large amount of soil carbon and are vulnerable to climate change. We implemented peatland hydrological and carbon accumulation processes into the ORCHIDEE land surface model. The model was evaluated against EC measurements from 30 northern peatland sites. The model generally well reproduced the spatial gradient and temporal variations in GPP and NEE at these sites. Water table depth was not well predicted but had only small influence on simulated NEE.
Sergey R. Chalov, Varvara O. Bazilova, and Mikhail K. Tarasov
Proc. IAHS, 375, 19–22, https://doi.org/10.5194/piahs-375-19-2017, https://doi.org/10.5194/piahs-375-19-2017, 2017
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The Selenga River is the largest tributary of Baikal Lake, it's delta covers around 600 km2. Suspended sediment concentrations (SSC) in the Selenga river delta were modelled based on LandSat images data. The variability in suspended sediment retention during the period 1989 to 2015 was calculated. The results suggest that SSC storage in the delta is observed during high discharges, whereas export increases under lower flow conditions. The changes in seasonal patterns are explained by wetland.
Hanna K. Lappalainen, Veli-Matti Kerminen, Tuukka Petäjä, Theo Kurten, Aleksander Baklanov, Anatoly Shvidenko, Jaana Bäck, Timo Vihma, Pavel Alekseychik, Meinrat O. Andreae, Stephen R. Arnold, Mikhail Arshinov, Eija Asmi, Boris Belan, Leonid Bobylev, Sergey Chalov, Yafang Cheng, Natalia Chubarova, Gerrit de Leeuw, Aijun Ding, Sergey Dobrolyubov, Sergei Dubtsov, Egor Dyukarev, Nikolai Elansky, Kostas Eleftheriadis, Igor Esau, Nikolay Filatov, Mikhail Flint, Congbin Fu, Olga Glezer, Aleksander Gliko, Martin Heimann, Albert A. M. Holtslag, Urmas Hõrrak, Juha Janhunen, Sirkku Juhola, Leena Järvi, Heikki Järvinen, Anna Kanukhina, Pavel Konstantinov, Vladimir Kotlyakov, Antti-Jussi Kieloaho, Alexander S. Komarov, Joni Kujansuu, Ilmo Kukkonen, Ella-Maria Duplissy, Ari Laaksonen, Tuomas Laurila, Heikki Lihavainen, Alexander Lisitzin, Alexsander Mahura, Alexander Makshtas, Evgeny Mareev, Stephany Mazon, Dmitry Matishov, Vladimir Melnikov, Eugene Mikhailov, Dmitri Moisseev, Robert Nigmatulin, Steffen M. Noe, Anne Ojala, Mari Pihlatie, Olga Popovicheva, Jukka Pumpanen, Tatjana Regerand, Irina Repina, Aleksei Shcherbinin, Vladimir Shevchenko, Mikko Sipilä, Andrey Skorokhod, Dominick V. Spracklen, Hang Su, Dmitry A. Subetto, Junying Sun, Arkady Y. Terzhevik, Yuri Timofeyev, Yuliya Troitskaya, Veli-Pekka Tynkkynen, Viacheslav I. Kharuk, Nina Zaytseva, Jiahua Zhang, Yrjö Viisanen, Timo Vesala, Pertti Hari, Hans Christen Hansson, Gennady G. Matvienko, Nikolai S. Kasimov, Huadong Guo, Valery Bondur, Sergej Zilitinkevich, and Markku Kulmala
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After kick off in 2012, the Pan-Eurasian Experiment (PEEX) program has expanded fast and today the multi-disciplinary research community covers ca. 80 institutes and a network of ca. 500 scientists from Europe, Russia, and China. Here we introduce scientific topics relevant in this context. This is one of the first multi-disciplinary overviews crossing scientific boundaries, from atmospheric sciences to socio-economics and social sciences.
X. Wu, N. Vuichard, P. Ciais, N. Viovy, N. de Noblet-Ducoudré, X. Wang, V. Magliulo, M. Wattenbach, L. Vitale, P. Di Tommasi, E. J. Moors, W. Jans, J. Elbers, E. Ceschia, T. Tallec, C. Bernhofer, T. Grünwald, C. Moureaux, T. Manise, A. Ligne, P. Cellier, B. Loubet, E. Larmanou, and D. Ripoche
Geosci. Model Dev., 9, 857–873, https://doi.org/10.5194/gmd-9-857-2016, https://doi.org/10.5194/gmd-9-857-2016, 2016
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The response of crops to changing climate and atmospheric CO2 could have large effects on food production, terrestrial carbon, water, energy fluxes and the climate feedbacks. We developed a new process-oriented terrestrial biogeochemical model named ORCHIDEE-CROP (v0), which integrates a generic crop phenology and harvest module into the land surface model ORCHIDEE. Our model has good ability to capture the spatial gradients of crop phenology, carbon and energy-related variables across Europe.
F. Richter, C. Döring, M. Jansen, O. Panferov, U. Spank, and C. Bernhofer
Hydrol. Earth Syst. Sci., 19, 3457–3474, https://doi.org/10.5194/hess-19-3457-2015, https://doi.org/10.5194/hess-19-3457-2015, 2015
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Predicting hydrological effects of land use change, e.g. enhanced cultivation of short rotation coppices, requires an adequate parameterisation. Measurements and modelling results show that leaf area index, stomatal resistance and in particular start and length of growing season are most sensitive to soil hydrological quantities, like ground water recharge (GWR). Only simulations over 30 years, reflecting long-term climate variability, show even zero GWR, especially in succeeding dry years.
M. Renner, K. Brust, K. Schwärzel, M. Volk, and C. Bernhofer
Hydrol. Earth Syst. Sci., 18, 389–405, https://doi.org/10.5194/hess-18-389-2014, https://doi.org/10.5194/hess-18-389-2014, 2014
D. Lisniak, J. Franke, and C. Bernhofer
Hydrol. Earth Syst. Sci., 17, 2487–2500, https://doi.org/10.5194/hess-17-2487-2013, https://doi.org/10.5194/hess-17-2487-2013, 2013
Cited articles
Abbaspour, K. C., Vejdani, M., and Haghighat, S.: SWAT-CUP calibration and
uncertainty programs for SWAT, Proc. Intl. Congress on Modelling and
Simulation (MODSIM'07), 73, 1603–1609, 2007.
Alekseevskii, N., Zavadskii, A., Krivushin, M., and Chalov, S.: Hydrological Monitoring at International Rivers and Basins, Water Resour., 42, 747–757, 2015
Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M.
J., Srinivasan, C., Santhi, R., Harmel, D., Van Griensven, A., Van Liew, M.
W., Kannan, N., and Jha, M. K.: SWAT: Model use, calibration, and
validation, T. ASABE, 55, 1491–1508, https://doi.org/10.13031/2013.42256, 2012.
Chalov, S., Golosov, V., Tsyplenkov, A., Theuring, P., Zakerinejad, R., Märker, M., and Samokhin, M. A.: toolbox for sediment budget research in small catchments, Geogr. Environ. Sustain., 10, 43–68, https://doi.org/10.24057/2071-9388-2017-10-4-43-68, 2017a.
Chalov, S., Pluntke, T., Nabyvanets, Y., Kruhlov, I., Helm, B., Terskii, P.,
Krengel, F., Osadcha, N., Habel, M., Osadchyi, V., Reeh, T., Karthe, D., and
Bernhofer, C.: Report on WP A – Assessment of the status quo in the three
investigated basins, Interim Report of the Volkswagenstiftung project
“Management of Transboundary Rivers between Ukraine, Russia and the EU …”, 10 pp.,
2017b.
Heininen, L.: Arctic geopolitics from classical to critical approach – importance of immaterial factors, Geogr. Environ. Sustain., 11, 171–186, 2018.
Hooper, R. P., Christophersen, N., and Peters, N. E.: Modelling streamwater
chemistry as a mixture of soilwater end-members – an application to the
Panola Mountain catchment, Georgia, USA J. Hydrol., 116, 321–343 https://doi.org/10.1016/0022-1694(90)90131-G, 1990.
Krengel, F., Bernhofer, C., Chalov, S., Efimov, V., Efimova, L., Gorbachova,
L, Habel, M., Helm, H., Kruhlov, I., Nabyvanets, Y., Osadcha, N., Osadchyi,
V., Pluntke, T., Reeh, T., Terskii, P., and Karthe, D.: Challenges for
transboundary river management in Eastern Europe-Three case studies, Die
Erde, 149, 157–172 https://doi.org/10.12854/erde-2018-389, 2018.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D.,
and Veith, T. L.: Model evaluation guidelines for systematic quantification of
accuracy in watershed simulations, Am. Soc. Agr. Biol. Eng., 50,
885–900, 2007.
Runkel, R. L., Crawford, C. G., and Cohn, T. A.: Load Estimator (LOADEST): A
FORTRAN Program for Estimating Constituent Loads in Streams and Rivers: US
Geological Survey Techniques and Methods Book 4, chap. A5, 69 pp., 2004.
Theuring, P., Rode, M., Behrens, S., Kirchner, G., and Jha, A.:
Identification of fluvial sediment sources in the Kharaa River catchment,
Northern Mongolia, Hydrol. Process., 27, 845–856, https://doi.org/10.1002/hyp.9684, 2013.
Theuring, P., Collins, A. L., and Rode, M.: Source identification of
fine-grained suspended sediment in the Kharaa River basin, northern
Mongolia, Sci. Total Environ., 526, 77–87, https://doi.org/10.1016/j.scitotenv.2015.03.134, 2015.
Vogelmann, J. E., Howard, S. M., Yang, L., Larson, C. R., Wylie, B. K., and
Van Driel, N.: Completion of the 1990s National Land Cover Data Set for the
conterminous United States from Landsat Thematic Mapper data and ancillary
data sources, Photogramm. Eng. Rem. S., 67, 650–662, 2001.
Williams, J. R. and Berndt, H. D.: Sediment yield computed with universal
equation, J. Hydraul. Div., 98, 2087–2098, 1972.
Wischmeier, W. H. and Smith, D. D.: A universal soil-loss equation to guide
conservation farm planning, Trans 7th int Congr. Soil Sci., 1, 418–425, 1960.
WMO: World Meteorological Organization Guide to Hydrological Practices: Volume I
Hydrology – From Measurement to Hydrological Information, 6th Edn.,
Geneva, Switzerland, World Meteorological Organization Publication No. 168, 296 pp.,
2008.
