[{"language":[{"iso":"eng"}],"keyword":["Vertical water renewal","Water age","Thermal stratification","Hypoxia","3D hydrodynamic-based age model","Water environmental management"],"date_updated":"2024-12-11T14:03:33Z","date_created":"2024-12-08T19:37:43Z","publication_identifier":{"issn":["0022-1694"],"eissn":["1879-2707"]},"publication":"Journal of Hydrology","status":"public","year":"2024","author":[{"full_name":"Gai, Bo","last_name":"Gai","first_name":"Bo"},{"full_name":"Boehrer, Bertram","last_name":"Boehrer","first_name":"Bertram"},{"last_name":"Sun","full_name":"Sun, Jian","first_name":"Jian"},{"full_name":"Li, Yuanyi","first_name":"Yuanyi","last_name":"Li"},{"full_name":"Lin, Binliang","first_name":"Binliang","last_name":"Lin"},{"orcid":"0000-0002-4520-7916","id":"86424","first_name":"Tom","full_name":"Shatwell, Tom","last_name":"Shatwell"}],"citation":{"ieee":"B. Gai, B. Boehrer, J. Sun, Y. Li, B. Lin, and T. Shatwell, “Vertical water age and water renewal in a large riverine reservoir,” <i>Journal of Hydrology</i>, vol. 631, no. 3, Art. no. 130701, 2024, doi: <a href=\"https://doi.org/10.1016/j.jhydrol.2024.130701\">10.1016/j.jhydrol.2024.130701</a>.","apa":"Gai, B., Boehrer, B., Sun, J., Li, Y., Lin, B., &#38; Shatwell, T. (2024). Vertical water age and water renewal in a large riverine reservoir. <i>Journal of Hydrology</i>, <i>631</i>(3), Article 130701. <a href=\"https://doi.org/10.1016/j.jhydrol.2024.130701\">https://doi.org/10.1016/j.jhydrol.2024.130701</a>","chicago":"Gai, Bo, Bertram Boehrer, Jian Sun, Yuanyi Li, Binliang Lin, and Tom Shatwell. “Vertical Water Age and Water Renewal in a Large Riverine Reservoir.” <i>Journal of Hydrology</i> 631, no. 3 (2024). <a href=\"https://doi.org/10.1016/j.jhydrol.2024.130701\">https://doi.org/10.1016/j.jhydrol.2024.130701</a>.","ama":"Gai B, Boehrer B, Sun J, Li Y, Lin B, Shatwell T. Vertical water age and water renewal in a large riverine reservoir. <i>Journal of Hydrology</i>. 2024;631(3). doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2024.130701\">10.1016/j.jhydrol.2024.130701</a>","van":"Gai B, Boehrer B, Sun J, Li Y, Lin B, Shatwell T. Vertical water age and water renewal in a large riverine reservoir. Journal of Hydrology. 2024;631(3).","mla":"Gai, Bo, et al. “Vertical Water Age and Water Renewal in a Large Riverine Reservoir.” <i>Journal of Hydrology</i>, vol. 631, no. 3, 130701, 2024, <a href=\"https://doi.org/10.1016/j.jhydrol.2024.130701\">https://doi.org/10.1016/j.jhydrol.2024.130701</a>.","bjps":"<b>Gai B <i>et al.</i></b> (2024) Vertical Water Age and Water Renewal in a Large Riverine Reservoir. <i>Journal of Hydrology</i> <b>631</b>.","havard":"B. Gai, B. Boehrer, J. Sun, Y. Li, B. Lin, T. Shatwell, Vertical water age and water renewal in a large riverine reservoir, Journal of Hydrology. 631 (2024).","ufg":"<b>Gai, Bo u. a.</b>: Vertical water age and water renewal in a large riverine reservoir, in: <i>Journal of Hydrology</i> 631 (2024), H. 3.","short":"B. Gai, B. Boehrer, J. Sun, Y. Li, B. Lin, T. Shatwell, Journal of Hydrology 631 (2024).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Gai, Bo</span> ; <span style=\"font-variant:small-caps;\">Boehrer, Bertram</span> ; <span style=\"font-variant:small-caps;\">Sun, Jian</span> ; <span style=\"font-variant:small-caps;\">Li, Yuanyi</span> ; <span style=\"font-variant:small-caps;\">Lin, Binliang</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span>: Vertical water age and water renewal in a large riverine reservoir. In: <i>Journal of Hydrology</i> Bd. 631. Amsterdam, Elsevier BV (2024), Nr. 3","chicago-de":"Gai, Bo, Bertram Boehrer, Jian Sun, Yuanyi Li, Binliang Lin und Tom Shatwell. 2024. Vertical water age and water renewal in a large riverine reservoir. <i>Journal of Hydrology</i> 631, Nr. 3. doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2024.130701\">10.1016/j.jhydrol.2024.130701</a>, ."},"volume":631,"extern":"1","title":"Vertical water age and water renewal in a large riverine reservoir","place":"Amsterdam","article_number":"130701","doi":"10.1016/j.jhydrol.2024.130701","_id":"12212","user_id":"83781","intvolume":"       631","type":"scientific_journal_article","quality_controlled":"1","publisher":"Elsevier BV","department":[{"_id":"DEP8022"}],"issue":"3","abstract":[{"text":"Water quality and hypoxia in lakes and reservoirs are strongly associated with water renewal. Yet vertical water exchange is still not fully understood and challenging to evaluate in highly dynamic systems. Here, we applied a scaling approach using the vertical timescale, vertical water age (VWA), defined as time since a water parcel last touched the water surface. We established a 3D hydrodynamic-based age model to quantify the vertical water renewal in Xiangxi Bay, a tributary bay of the Three Gorges Dam. The integrated effects of hydrodynamic processes like stratification, intruding density currents from the mainstream, and upstream inflow on the vertical renewal were accounted for. Results indicated that the spatial–temporal distribution of VWA in Xiangxi Bay depended on stratification and forms of intruding density currents. Age was large in spring and summer, and small in autumn and winter, reaching a maximum of 25 days in April. The vertical water renewal was faster during bottom intrusions from the mainstream than during middle and surface intrusions. At times, the epilimnion contained old water due to circulations, and the hypolimnion contained young water due to upstream flushing. In contrast to natural lakes, the bottom water was often younger than overlying intermediate waters. This demonstrated that mixed layer depth was insufficient to fully capture the vertical exchange in riverine systems with significant surface/bottom intrusion. The findings suggested VWA as a quantitative measure of vertical water transport in highly dynamic systems and its usability for environmental water management.","lang":"eng"}],"publication_status":"published"},{"author":[{"full_name":"Mi, Chenxi","first_name":"Chenxi","last_name":"Mi"},{"first_name":"Karsten","full_name":"Rinke, Karsten","last_name":"Rinke"},{"orcid":"0000-0002-4520-7916","id":"86424","full_name":"Shatwell, Tom","last_name":"Shatwell","first_name":"Tom"}],"year":"2024","status":"public","page":"127-139","title":"Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany's largest drinking water reservoir","citation":{"ieee":"C. Mi, K. Rinke, and T. Shatwell, “Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir,” <i>Journal of Environmental Sciences</i>, vol. 146, no. 12, pp. 127–139, 2024, doi: <a href=\"https://doi.org/10.1016/j.jes.2023.06.025\">10.1016/j.jes.2023.06.025</a>.","ama":"Mi C, Rinke K, Shatwell T. Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir. <i>Journal of Environmental Sciences</i>. 2024;146(12):127-139. doi:<a href=\"https://doi.org/10.1016/j.jes.2023.06.025\">10.1016/j.jes.2023.06.025</a>","short":"C. Mi, K. Rinke, T. Shatwell, Journal of Environmental Sciences 146 (2024) 127–139.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Mi, Chenxi</span> ; <span style=\"font-variant:small-caps;\">Rinke, Karsten</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span>: Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir. In: <i>Journal of Environmental Sciences</i> Bd. 146. Amsterdam, Elsevier BV (2024), Nr. 12, S. 127–139","chicago-de":"Mi, Chenxi, Karsten Rinke und Tom Shatwell. 2024. Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir. <i>Journal of Environmental Sciences</i> 146, Nr. 12: 127–139. doi:<a href=\"https://doi.org/10.1016/j.jes.2023.06.025\">10.1016/j.jes.2023.06.025</a>, .","apa":"Mi, C., Rinke, K., &#38; Shatwell, T. (2024). Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir. <i>Journal of Environmental Sciences</i>, <i>146</i>(12), 127–139. <a href=\"https://doi.org/10.1016/j.jes.2023.06.025\">https://doi.org/10.1016/j.jes.2023.06.025</a>","chicago":"Mi, Chenxi, Karsten Rinke, and Tom Shatwell. “Optimizing Selective Withdrawal Strategies to Mitigate Hypoxia under Water-Level Reduction in Germany’s Largest Drinking Water Reservoir.” <i>Journal of Environmental Sciences</i> 146, no. 12 (2024): 127–39. <a href=\"https://doi.org/10.1016/j.jes.2023.06.025\">https://doi.org/10.1016/j.jes.2023.06.025</a>.","van":"Mi C, Rinke K, Shatwell T. Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir. Journal of Environmental Sciences. 2024;146(12):127–39.","bjps":"<b>Mi C, Rinke K and Shatwell T</b> (2024) Optimizing Selective Withdrawal Strategies to Mitigate Hypoxia under Water-Level Reduction in Germany’s Largest Drinking Water Reservoir. <i>Journal of Environmental Sciences</i> <b>146</b>, 127–139.","mla":"Mi, Chenxi, et al. “Optimizing Selective Withdrawal Strategies to Mitigate Hypoxia under Water-Level Reduction in Germany’s Largest Drinking Water Reservoir.” <i>Journal of Environmental Sciences</i>, vol. 146, no. 12, 2024, pp. 127–39, <a href=\"https://doi.org/10.1016/j.jes.2023.06.025\">https://doi.org/10.1016/j.jes.2023.06.025</a>.","havard":"C. Mi, K. Rinke, T. Shatwell, Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir, Journal of Environmental Sciences. 146 (2024) 127–139.","ufg":"<b>Mi, Chenxi/Rinke, Karsten/Shatwell, Tom</b>: Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir, in: <i>Journal of Environmental Sciences</i> 146 (2024), H. 12,  S. 127–139."},"volume":146,"keyword":["Hypoxia","Water-level reduction","Hypolimnetic water withdrawal","Stratification phenology","Water quality simulation","Sediment oxygen demand"],"language":[{"iso":"eng"}],"publication":"Journal of Environmental Sciences","publication_identifier":{"eissn":["1878-7320"],"issn":["1001-0742"]},"date_created":"2024-12-08T19:42:28Z","date_updated":"2024-12-11T13:49:18Z","department":[{"_id":"DEP8022"}],"abstract":[{"lang":"eng","text":"Water-level reduction frequently occurs in deep reservoirs, but its effect on dissolved oxygen concentration is not well understood. In this study we used a well-established water quality model to illustrate effects of water level dynamics on oxygen concentration in Rappbode Reservoir, Germany. We then systematically elucidated the potential of selective withdrawal to control hypoxia under changing water levels. Our results documented a gradual decrease of hypolimnetic oxygen concentration under decreasing water level, and hypoxia occurred when the initial level was lower than 410 m a.s.l (71 m relative to the reservoir bottom). We also suggested that changes of hypoxic region, under increasing hypolimnetic withdrawal discharge, followed a unimodal trajectory with the maximum hypoxic area projected under the discharge between 3 m3/sec and 4 m3/sec. Besides, our results illustrated the extent of hypoxia was most effectively inhibited if the withdrawal strategy was applied at the end of stratification with the outlet elevation at the deepest part of the reservoir. Moreover, hypoxia can be totally avoided under a hybrid elevation withdrawal strategy using surface withdrawal during early and mid stratification, and deep withdrawal at the end of stratification. We further confirmed the decisive role of thermal structure in the formation of hypoxia under water-level reduction and withdrawal strategies. We believe the conclusions from this study can be applied to many deep waters in the temperate zone, and the results should guide stakeholders to mitigate negative impacts of hypoxia on aquatic ecosystems."}],"issue":"12","publisher":"Elsevier BV","quality_controlled":"1","publication_status":"published","place":"Amsterdam","_id":"12215","doi":"10.1016/j.jes.2023.06.025","type":"scientific_journal_article","user_id":"83781","intvolume":"       146"},{"title":"Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan","extern":"1","volume":81,"citation":{"apa":"Shikhani, M., Mi, C., Gevorgyan, A., Gevorgyan, G., Misakyan, A., Azizyan, L., Barfus, K., Schulze, M., Shatwell, T., &#38; Rinke, K. (2021). Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan. <i>Journal of Limnology</i>, <i>81</i>(s1). <a href=\"https://doi.org/10.4081/jlimnol.2021.2024\">https://doi.org/10.4081/jlimnol.2021.2024</a>","chicago":"Shikhani, Muhammed, Chenxi Mi, Artur Gevorgyan, Gor Gevorgyan, Amalya Misakyan, Levon Azizyan, Klemens Barfus, Martin Schulze, Tom Shatwell, and Karsten Rinke. “Simulating Thermal Dynamics of the Largest Lake in the Caucasus Region: The Mountain Lake Sevan.” <i>Journal of Limnology</i> 81, no. s1 (2021). <a href=\"https://doi.org/10.4081/jlimnol.2021.2024\">https://doi.org/10.4081/jlimnol.2021.2024</a>.","van":"Shikhani M, Mi C, Gevorgyan A, Gevorgyan G, Misakyan A, Azizyan L, et al. Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan. Journal of Limnology. 2021;81(s1).","havard":"M. Shikhani, C. Mi, A. Gevorgyan, G. Gevorgyan, A. Misakyan, L. Azizyan, K. Barfus, M. Schulze, T. Shatwell, K. Rinke, Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan, Journal of Limnology. 81 (2021).","bjps":"<b>Shikhani M <i>et al.</i></b> (2021) Simulating Thermal Dynamics of the Largest Lake in the Caucasus Region: The Mountain Lake Sevan. <i>Journal of Limnology</i> <b>81</b>.","mla":"Shikhani, Muhammed, et al. “Simulating Thermal Dynamics of the Largest Lake in the Caucasus Region: The Mountain Lake Sevan.” <i>Journal of Limnology</i>, vol. 81, no. s1, 2021, <a href=\"https://doi.org/10.4081/jlimnol.2021.2024\">https://doi.org/10.4081/jlimnol.2021.2024</a>.","ufg":"<b>Shikhani, Muhammed u. a.</b>: Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan, in: <i>Journal of Limnology</i> 81 (2021), H. s1.","short":"M. Shikhani, C. Mi, A. Gevorgyan, G. Gevorgyan, A. Misakyan, L. Azizyan, K. Barfus, M. Schulze, T. Shatwell, K. Rinke, Journal of Limnology 81 (2021).","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Shikhani, Muhammed</span> ; <span style=\"font-variant:small-caps;\">Mi, Chenxi</span> ; <span style=\"font-variant:small-caps;\">Gevorgyan, Artur</span> ; <span style=\"font-variant:small-caps;\">Gevorgyan, Gor</span> ; <span style=\"font-variant:small-caps;\">Misakyan, Amalya</span> ; <span style=\"font-variant:small-caps;\">Azizyan, Levon</span> ; <span style=\"font-variant:small-caps;\">Barfus, Klemens</span> ; <span style=\"font-variant:small-caps;\">Schulze, Martin</span> ; u. a.</span>: Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan. In: <i>Journal of Limnology</i> Bd. 81. Verbania , Istituto per lo Studio degli Ecosistemi (Verbania)  (2021), Nr. s1","chicago-de":"Shikhani, Muhammed, Chenxi Mi, Artur Gevorgyan, Gor Gevorgyan, Amalya Misakyan, Levon Azizyan, Klemens Barfus, Martin Schulze, Tom Shatwell und Karsten Rinke. 2021. Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan. <i>Journal of Limnology</i> 81, Nr. s1. doi:<a href=\"https://doi.org/10.4081/jlimnol.2021.2024\">10.4081/jlimnol.2021.2024</a>, .","ieee":"M. Shikhani <i>et al.</i>, “Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan,” <i>Journal of Limnology</i>, vol. 81, no. s1, 2021, doi: <a href=\"https://doi.org/10.4081/jlimnol.2021.2024\">10.4081/jlimnol.2021.2024</a>.","ama":"Shikhani M, Mi C, Gevorgyan A, et al. Simulating thermal dynamics of the largest lake in the Caucasus region: The mountain Lake Sevan. <i>Journal of Limnology</i>. 2021;81(s1). doi:<a href=\"https://doi.org/10.4081/jlimnol.2021.2024\">10.4081/jlimnol.2021.2024</a>"},"author":[{"id":"87725","first_name":"Muhammed","full_name":"Shikhani, Muhammed","last_name":"Shikhani"},{"full_name":"Mi, Chenxi","first_name":"Chenxi","last_name":"Mi"},{"full_name":"Gevorgyan, Artur","last_name":"Gevorgyan","first_name":"Artur"},{"first_name":"Gor","full_name":"Gevorgyan, Gor","last_name":"Gevorgyan"},{"last_name":"Misakyan","full_name":"Misakyan, Amalya","first_name":"Amalya"},{"full_name":"Azizyan, Levon","first_name":"Levon","last_name":"Azizyan"},{"full_name":"Barfus, Klemens","first_name":"Klemens","last_name":"Barfus"},{"first_name":"Martin","last_name":"Schulze","full_name":"Schulze, Martin"},{"orcid":"0000-0002-4520-7916","last_name":"Shatwell","full_name":"Shatwell, Tom","id":"86424","first_name":"Tom"},{"first_name":"Karsten","last_name":"Rinke","full_name":"Rinke, Karsten"}],"year":"2021","status":"public","publication":"Journal of Limnology","publication_identifier":{"issn":["1129-5767"],"eissn":["1723-8633"]},"date_created":"2024-12-08T19:55:10Z","date_updated":"2024-12-11T13:04:19Z","keyword":["General Lake Model (GLM)","Lake Sevan","temperature stratification","EWEMBI","climate warming"],"language":[{"iso":"eng"}],"publication_status":"published","department":[{"_id":"DEP8022"}],"abstract":[{"lang":"eng","text":"Lake Sevan is the largest freshwater body in the Caucasus region, situated at an altitude of 1,900 m asl. While it is a major water resource in the whole region, Lake Sevan has received little attention in international limnological literature. Although recent studies pointed to algal blooms and negative impacts of climate change and eutrophication, the physical controls on thermal dynamics have not been characterized and model-based assessments of climate change impacts are lacking. We compiled a decade of historical data for meteorological conditions and temperature dynamics in Lake Sevan and used a one-dimensional hydrodynamic model (GLM 3.1) in order to study thermal structure, the stratification phenology and their meteorological drivers in this large mountain lake. We then evaluated the representativeness of meteorological data products covering almost 4 decades (EWEMBI-dataset: 1979-2016) for driving the model and found that these data are well suited to restore long term thermal dynamics in Lake Sevan. This established model setting allowed us to identify major changes in Lake Sevan’s stratification in response to changing meteorological conditions as expected from ongoing climate change. Our results point to a changing mixing type from dimictic to monomictic as Lake Sevan will experience prolonged summer stratification periods and more stable stratification. These projected changes in stratification must be included in long-term management perspectives as they will intensify water quality deteriorations like surface algal blooms or deep water anoxia."}],"issue":"s1","publisher":"Istituto per lo Studio degli Ecosistemi (Verbania) ","quality_controlled":"1","type":"scientific_journal_article","user_id":"83781","intvolume":"        81","place":"Verbania ","_id":"12225","doi":"10.4081/jlimnol.2021.2024"},{"publication_status":"published","department":[{"_id":"DEP8022"}],"abstract":[{"lang":"eng","text":"The modelling community has identified challenges for the integration and assessment of lake models due to the diversity of modelling approaches and lakes. In this study, we develop and assess a one-dimensional lake model and apply it to 32 lakes from a global observatory network. The data set included lakes over broad ranges in latitude, climatic zones, size, residence time, mixing regime and trophic level. Model performance was evaluated using several error assessment metrics, and a sensitivity analysis was conducted for nine parameters that governed the surface heat exchange and mixing efficiency. There was low correlation between input data uncertainty and model performance and predictions of temperature were less sensitive to model parameters than prediction of thermocline depth and Schmidt stability. The study provides guidance to where the general model approach and associated assumptions work, and cases where adjustments to model parameterisations and/or structure are required."}],"issue":"4","quality_controlled":"1","publisher":"Elsevier Science","type":"scientific_journal_article","user_id":"83781","intvolume":"       102","place":"Oxford","doi":"10.1016/j.envsoft.2017.11.016","_id":"12239","extern":"1","title":"A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network","volume":102,"citation":{"short":"L.C. Bruce, M.A. Frassl, G.B. Arhonditsis, G. Gal, D.P. Hamilton, P.C. Hanson, A.L. Hetherington, J.M. Melack, J.S. Read, K. Rinke, A. Rigosi, D. Trolle, L. Winslow, R. Adrian, A.I. Ayala, S.A. Bocaniov, B. Boehrer, C. Boon, J.D. Brookes, T. Bueche, B.D. Busch, D. Copetti, A. Cortés, E. de Eyto, J.A. Elliott, N. Gallina, Y. Gilboa, N. Guyennon, L. Huang, O. Kerimoglu, J.D. Lenters, S. MacIntyre, V. Makler-Pick, C.G. McBride, S. Moreira, D. Özkundakci, M. Pilotti, F.J. Rueda, J.A. Rusak, N.R. Samal, M. Schmid, T. Shatwell, C. Snorthheim, F. Soulignac, G. Valerio, L. van der Linden, M. Vetter, B. Vinçon-Leite, J. Wang, M. Weber, C. Wickramaratne, R.I. Woolway, H. Yao, M.R. Hipsey, Environmental Modelling &#38; Software with Environment Data News  102 (2018) 274–291.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Bruce, Louise C.</span> ; <span style=\"font-variant:small-caps;\">Frassl, Marieke A.</span> ; <span style=\"font-variant:small-caps;\">Arhonditsis, George B.</span> ; <span style=\"font-variant:small-caps;\">Gal, Gideon</span> ; <span style=\"font-variant:small-caps;\">Hamilton, David P.</span> ; <span style=\"font-variant:small-caps;\">Hanson, Paul C.</span> ; <span style=\"font-variant:small-caps;\">Hetherington, Amy L.</span> ; <span style=\"font-variant:small-caps;\">Melack, John M.</span> ; u. a.</span>: A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. In: <i>Environmental modelling &#38; software with environment data news </i> Bd. 102. Oxford, Elsevier Science (2018), Nr. 4, S. 274–291","chicago-de":"Bruce, Louise C., Marieke A. Frassl, George B. Arhonditsis, Gideon Gal, David P. Hamilton, Paul C. Hanson, Amy L. Hetherington, u. a. 2018. A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. <i>Environmental modelling &#38; software with environment data news </i> 102, Nr. 4: 274–291. doi:<a href=\"https://doi.org/10.1016/j.envsoft.2017.11.016\">10.1016/j.envsoft.2017.11.016</a>, .","apa":"Bruce, L. C., Frassl, M. A., Arhonditsis, G. B., Gal, G., Hamilton, D. P., Hanson, P. C., Hetherington, A. L., Melack, J. M., Read, J. S., Rinke, K., Rigosi, A., Trolle, D., Winslow, L., Adrian, R., Ayala, A. I., Bocaniov, S. A., Boehrer, B., Boon, C., Brookes, J. D., … Hipsey, M. R. (2018). A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. <i>Environmental Modelling &#38; Software with Environment Data News </i>, <i>102</i>(4), 274–291. <a href=\"https://doi.org/10.1016/j.envsoft.2017.11.016\">https://doi.org/10.1016/j.envsoft.2017.11.016</a>","chicago":"Bruce, Louise C., Marieke A. Frassl, George B. Arhonditsis, Gideon Gal, David P. Hamilton, Paul C. Hanson, Amy L. Hetherington, et al. “A Multi-Lake Comparative Analysis of the General Lake Model (GLM): Stress-Testing across a Global Observatory Network.” <i>Environmental Modelling &#38; Software with Environment Data News </i> 102, no. 4 (2018): 274–91. <a href=\"https://doi.org/10.1016/j.envsoft.2017.11.016\">https://doi.org/10.1016/j.envsoft.2017.11.016</a>.","van":"Bruce LC, Frassl MA, Arhonditsis GB, Gal G, Hamilton DP, Hanson PC, et al. A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. Environmental modelling &#38; software with environment data news . 2018;102(4):274–91.","mla":"Bruce, Louise C., et al. “A Multi-Lake Comparative Analysis of the General Lake Model (GLM): Stress-Testing across a Global Observatory Network.” <i>Environmental Modelling &#38; Software with Environment Data News </i>, vol. 102, no. 4, 2018, pp. 274–91, <a href=\"https://doi.org/10.1016/j.envsoft.2017.11.016\">https://doi.org/10.1016/j.envsoft.2017.11.016</a>.","bjps":"<b>Bruce LC <i>et al.</i></b> (2018) A Multi-Lake Comparative Analysis of the General Lake Model (GLM): Stress-Testing across a Global Observatory Network. <i>Environmental modelling &#38; software with environment data news </i> <b>102</b>, 274–291.","havard":"L.C. Bruce, M.A. Frassl, G.B. Arhonditsis, G. Gal, D.P. Hamilton, P.C. Hanson, A.L. Hetherington, J.M. Melack, J.S. Read, K. Rinke, A. Rigosi, D. Trolle, L. Winslow, R. Adrian, A.I. Ayala, S.A. Bocaniov, B. Boehrer, C. Boon, J.D. Brookes, T. Bueche, B.D. Busch, D. Copetti, A. Cortés, E. de Eyto, J.A. Elliott, N. Gallina, Y. Gilboa, N. Guyennon, L. Huang, O. Kerimoglu, J.D. Lenters, S. MacIntyre, V. Makler-Pick, C.G. McBride, S. Moreira, D. Özkundakci, M. Pilotti, F.J. Rueda, J.A. Rusak, N.R. Samal, M. Schmid, T. Shatwell, C. Snorthheim, F. Soulignac, G. Valerio, L. van der Linden, M. Vetter, B. Vinçon-Leite, J. Wang, M. Weber, C. Wickramaratne, R.I. Woolway, H. Yao, M.R. Hipsey, A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network, Environmental Modelling &#38; Software with Environment Data News . 102 (2018) 274–291.","ufg":"<b>Bruce, Louise C. u. a.</b>: A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network, in: <i>Environmental modelling &#38; software with environment data news </i> 102 (2018), H. 4,  S. 274–291.","ieee":"L. C. Bruce <i>et al.</i>, “A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network,” <i>Environmental modelling &#38; software with environment data news </i>, vol. 102, no. 4, pp. 274–291, 2018, doi: <a href=\"https://doi.org/10.1016/j.envsoft.2017.11.016\">10.1016/j.envsoft.2017.11.016</a>.","ama":"Bruce LC, Frassl MA, Arhonditsis GB, et al. A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. <i>Environmental modelling &#38; software with environment data news </i>. 2018;102(4):274-291. doi:<a href=\"https://doi.org/10.1016/j.envsoft.2017.11.016\">10.1016/j.envsoft.2017.11.016</a>"},"year":"2018","main_file_link":[{"url":"https://doi.org/10.1016/j.envsoft.2017.11.016"}],"author":[{"first_name":"Louise C.","full_name":"Bruce, Louise C.","last_name":"Bruce"},{"first_name":"Marieke A.","last_name":"Frassl","full_name":"Frassl, Marieke A."},{"last_name":"Arhonditsis","first_name":"George B.","full_name":"Arhonditsis, George B."},{"first_name":"Gideon","full_name":"Gal, Gideon","last_name":"Gal"},{"first_name":"David P.","last_name":"Hamilton","full_name":"Hamilton, David P."},{"first_name":"Paul C.","last_name":"Hanson","full_name":"Hanson, Paul C."},{"full_name":"Hetherington, Amy L.","last_name":"Hetherington","first_name":"Amy L."},{"first_name":"John M.","full_name":"Melack, John M.","last_name":"Melack"},{"last_name":"Read","first_name":"Jordan S.","full_name":"Read, Jordan S."},{"last_name":"Rinke","first_name":"Karsten","full_name":"Rinke, Karsten"},{"last_name":"Rigosi","full_name":"Rigosi, Anna","first_name":"Anna"},{"last_name":"Trolle","first_name":"Dennis","full_name":"Trolle, Dennis"},{"first_name":"Luke","full_name":"Winslow, Luke","last_name":"Winslow"},{"first_name":"Rita","last_name":"Adrian","full_name":"Adrian, Rita"},{"last_name":"Ayala","first_name":"Ana I.","full_name":"Ayala, Ana I."},{"first_name":"Serghei A.","last_name":"Bocaniov","full_name":"Bocaniov, Serghei A."},{"first_name":"Bertram","last_name":"Boehrer","full_name":"Boehrer, Bertram"},{"last_name":"Boon","first_name":"Casper","full_name":"Boon, Casper"},{"full_name":"Brookes, Justin D.","first_name":"Justin D.","last_name":"Brookes"},{"first_name":"Thomas","last_name":"Bueche","full_name":"Bueche, Thomas"},{"full_name":"Busch, Brendan D.","last_name":"Busch","first_name":"Brendan D."},{"last_name":"Copetti","first_name":"Diego","full_name":"Copetti, Diego"},{"first_name":"Alicia","full_name":"Cortés, Alicia","last_name":"Cortés"},{"full_name":"de Eyto, Elvira","last_name":"de Eyto","first_name":"Elvira"},{"first_name":"J. Alex","last_name":"Elliott","full_name":"Elliott, J. Alex"},{"full_name":"Gallina, Nicole","first_name":"Nicole","last_name":"Gallina"},{"last_name":"Gilboa","full_name":"Gilboa, Yael","first_name":"Yael"},{"last_name":"Guyennon","full_name":"Guyennon, Nicolas","first_name":"Nicolas"},{"last_name":"Huang","full_name":"Huang, Lei","first_name":"Lei"},{"first_name":"Onur","full_name":"Kerimoglu, Onur","last_name":"Kerimoglu"},{"last_name":"Lenters","first_name":"John D.","full_name":"Lenters, John D."},{"first_name":"Sally","full_name":"MacIntyre, Sally","last_name":"MacIntyre"},{"last_name":"Makler-Pick","first_name":"Vardit","full_name":"Makler-Pick, Vardit"},{"last_name":"McBride","full_name":"McBride, Chris G.","first_name":"Chris G."},{"full_name":"Moreira, Santiago","last_name":"Moreira","first_name":"Santiago"},{"first_name":"Deniz","last_name":"Özkundakci","full_name":"Özkundakci, Deniz"},{"full_name":"Pilotti, Marco","last_name":"Pilotti","first_name":"Marco"},{"last_name":"Rueda","first_name":"Francisco J.","full_name":"Rueda, Francisco J."},{"full_name":"Rusak, James A.","first_name":"James A.","last_name":"Rusak"},{"first_name":"Nihar R.","full_name":"Samal, Nihar R.","last_name":"Samal"},{"full_name":"Schmid, Martin","last_name":"Schmid","first_name":"Martin"},{"orcid":"0000-0002-4520-7916","first_name":"Tom","last_name":"Shatwell","id":"86424","full_name":"Shatwell, Tom"},{"last_name":"Snorthheim","full_name":"Snorthheim, Craig","first_name":"Craig"},{"first_name":"Frédéric","last_name":"Soulignac","full_name":"Soulignac, Frédéric"},{"first_name":"Giulia","last_name":"Valerio","full_name":"Valerio, Giulia"},{"first_name":"Leon","last_name":"van der Linden","full_name":"van der Linden, Leon"},{"full_name":"Vetter, Mark","first_name":"Mark","last_name":"Vetter"},{"last_name":"Vinçon-Leite","full_name":"Vinçon-Leite, Brigitte","first_name":"Brigitte"},{"full_name":"Wang, Junbo","last_name":"Wang","first_name":"Junbo"},{"first_name":"Michael","last_name":"Weber","full_name":"Weber, Michael"},{"full_name":"Wickramaratne, Chaturangi","last_name":"Wickramaratne","first_name":"Chaturangi"},{"full_name":"Woolway, R. Iestyn","last_name":"Woolway","first_name":"R. Iestyn"},{"last_name":"Yao","first_name":"Huaxia","full_name":"Yao, Huaxia"},{"first_name":"Matthew R.","full_name":"Hipsey, Matthew R.","last_name":"Hipsey"}],"page":"274-291","status":"public","date_created":"2024-12-08T20:32:07Z","publication_identifier":{"eissn":["1873-6726"],"issn":["1364-8152"]},"publication":"Environmental modelling & software with environment data news ","date_updated":"2024-12-09T10:13:47Z","language":[{"iso":"eng"}],"keyword":["Lake model","Stratification","GLM","Model assessment","Global observatory data","Network science"]},{"title":"Generalized scaling of seasonal thermal stratification in lakes","extern":"1","citation":{"chicago":"Kirillin, G., and Tom Shatwell. “Generalized Scaling of Seasonal Thermal Stratification in Lakes.” <i>Earth-Science Reviews</i> 161 (2016): 179–90. <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">https://doi.org/10.1016/j.earscirev.2016.08.008</a>.","apa":"Kirillin, G., &#38; Shatwell, T. (2016). Generalized scaling of seasonal thermal stratification in lakes. <i>Earth-Science Reviews</i>, <i>161</i>, 179–190. <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">https://doi.org/10.1016/j.earscirev.2016.08.008</a>","ufg":"<b>Kirillin, G./Shatwell, Tom</b>: Generalized scaling of seasonal thermal stratification in lakes, in: <i>Earth-Science Reviews</i> 161 (2016),  S. 179–190.","havard":"G. Kirillin, T. Shatwell, Generalized scaling of seasonal thermal stratification in lakes, Earth-Science Reviews. 161 (2016) 179–190.","bjps":"<b>Kirillin G and Shatwell T</b> (2016) Generalized Scaling of Seasonal Thermal Stratification in Lakes. <i>Earth-Science Reviews</i> <b>161</b>, 179–190.","mla":"Kirillin, G., and Tom Shatwell. “Generalized Scaling of Seasonal Thermal Stratification in Lakes.” <i>Earth-Science Reviews</i>, vol. 161, 2016, pp. 179–90, <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">https://doi.org/10.1016/j.earscirev.2016.08.008</a>.","van":"Kirillin G, Shatwell T. Generalized scaling of seasonal thermal stratification in lakes. Earth-Science Reviews. 2016;161:179–90.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Kirillin, G.</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span>: Generalized scaling of seasonal thermal stratification in lakes. In: <i>Earth-Science Reviews</i> Bd. 161, Elsevier BV (2016), S. 179–190","chicago-de":"Kirillin, G. und Tom Shatwell. 2016. Generalized scaling of seasonal thermal stratification in lakes. <i>Earth-Science Reviews</i> 161: 179–190. doi:<a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">10.1016/j.earscirev.2016.08.008</a>, .","short":"G. Kirillin, T. Shatwell, Earth-Science Reviews 161 (2016) 179–190.","ieee":"G. Kirillin and T. Shatwell, “Generalized scaling of seasonal thermal stratification in lakes,” <i>Earth-Science Reviews</i>, vol. 161, pp. 179–190, 2016, doi: <a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">10.1016/j.earscirev.2016.08.008</a>.","ama":"Kirillin G, Shatwell T. Generalized scaling of seasonal thermal stratification in lakes. <i>Earth-Science Reviews</i>. 2016;161:179-190. doi:<a href=\"https://doi.org/10.1016/j.earscirev.2016.08.008\">10.1016/j.earscirev.2016.08.008</a>"},"volume":161,"year":"2016","author":[{"last_name":"Kirillin","first_name":"G.","full_name":"Kirillin, G."},{"first_name":"Tom","id":"86424","full_name":"Shatwell, Tom","last_name":"Shatwell","orcid":"0000-0002-4520-7916"}],"main_file_link":[{"url":"https://doi.org/10.1016/j.earscirev.2016.08.008"}],"status":"public","page":"179-190","publication_identifier":{"issn":["0012-8252"]},"publication":"Earth-Science Reviews","date_created":"2024-12-08T20:35:50Z","date_updated":"2024-12-09T10:04:30Z","keyword":["Richardson number","Lake classification","Seasonal stratification","Dimixis","Polymixis","Water transparency","Lake databases","Lake modeling","Secchi depth"],"language":[{"iso":"eng"}],"publication_status":"published","department":[{"_id":"DEP8022"}],"abstract":[{"lang":"eng","text":"Hutchinson and Löffler's (1956) classification of lakes based on the seasonal thermal mixing regime has become a cornerstone of any analysis of lakes as elements of the earth surface. Until now however the lake classification has lacked a physically sound quantitative criterion distinguishing between two fundamental lake types: thermally stratified during a large portion of the year (mono- and dimictic) and predominantly mixed to the bottom (polymictic). Using the mechanistic balance between potential and kinetic energy we review the different formulations of the Richardson number to derive a generalized scaling for seasonal stratification in a closed lake basin. The scaling parameter is the critical mean basin depth, Hcrit, that delineates lakes that mix regularly from those that stratify seasonally based on lake water transparency, lake length, and an annual mean estimate for the Monin-Obukhov length. We validate the scaling on available data of lakes worldwide using logistic regression. The scaling criterion consistently described the mixing regime significantly better than either the conventional unbounded basin scaling or a simple depth threshold. Thus, the generalized scaling is universal for freshwater lakes and allows the seasonal mixing regime to be estimated without numerically solving the heat transport equations."}],"publisher":"Elsevier BV","quality_controlled":"1","type":"scientific_journal_article","user_id":"83781","intvolume":"       161","_id":"12242","doi":"10.1016/j.earscirev.2016.08.008"},{"type":"scientific_journal_article","user_id":"83781","intvolume":"       496","place":"Amsterdam","_id":"12249","doi":"10.1016/j.jhydrol.2013.05.023","publication_status":"published","department":[{"_id":"DEP8022"}],"issue":"7","abstract":[{"lang":"eng","text":"We investigated the combined effects of thermal pollution from a nuclear power plant (NPP) and regional climate warming on the thermal regime of a lake. For this purpose, we used the lake model FLake and analyzed 50 years of temperature data from Lake Stechlin, Germany, which served as the cooling water reservoir for the Rheinsberg NPP from 1966 until 1990. Both modeling and statistical data analysis revealed a strong influence of the NPP cooling water discharge on the lake water temperatures and the vertical stability of the water column. A remarkable effect of thermal pollution consisted of strong vertical mixing in winter produced by the discharge of warm water into the lake when ambient water temperatures were below 4 °C. This effect caused a significant increase in the deep hypolimnion temperatures and a corresponding decrease of the vertical stability in the summer. In turn, climate warming had the opposite effect on the summer stability by increasing lake surface temperatures. Both the thermal pollution and climate change increased the duration of the summer stratification period. Our results suggest that industrial thermal pollution in temperate lakes during winter is stored in the deep water column until the next winter, whereas heat added in the summer dissipates relatively rapidly into the atmosphere. Accordingly, the winter thermal pollution could have a long-lasting effect on the lake ecology by affecting benthic biogeochemical processes."}],"publisher":"Elsevier BV","quality_controlled":"1","publication_identifier":{"issn":["0022-1694"],"eissn":["1879-2707"]},"publication":"Journal of Hydrology","date_created":"2024-12-08T20:44:14Z","date_updated":"2024-12-09T09:02:37Z","keyword":["Industrial thermal pollution","Global warming","Lake stratification","FLake model"],"language":[{"iso":"eng"}],"title":"Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime","extern":"1","citation":{"ieee":"G. Kirillin, T. Shatwell, and P. Kasprzak, “Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime,” <i>Journal of Hydrology</i>, vol. 496, no. 7, pp. 47–56, 2013, doi: <a href=\"https://doi.org/10.1016/j.jhydrol.2013.05.023\">10.1016/j.jhydrol.2013.05.023</a>.","ama":"Kirillin G, Shatwell T, Kasprzak P. Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime. <i>Journal of Hydrology</i>. 2013;496(7):47-56. doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2013.05.023\">10.1016/j.jhydrol.2013.05.023</a>","apa":"Kirillin, G., Shatwell, T., &#38; Kasprzak, P. (2013). Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime. <i>Journal of Hydrology</i>, <i>496</i>(7), 47–56. <a href=\"https://doi.org/10.1016/j.jhydrol.2013.05.023\">https://doi.org/10.1016/j.jhydrol.2013.05.023</a>","chicago":"Kirillin, Georgiy, Tom Shatwell, and Peter Kasprzak. “Consequences of Thermal Pollution from a Nuclear Plant on Lake Temperature and Mixing Regime.” <i>Journal of Hydrology</i> 496, no. 7 (2013): 47–56. <a href=\"https://doi.org/10.1016/j.jhydrol.2013.05.023\">https://doi.org/10.1016/j.jhydrol.2013.05.023</a>.","van":"Kirillin G, Shatwell T, Kasprzak P. Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime. Journal of Hydrology. 2013;496(7):47–56.","ufg":"<b>Kirillin, Georgiy/Shatwell, Tom/Kasprzak, Peter</b>: Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime, in: <i>Journal of Hydrology</i> 496 (2013), H. 7,  S. 47–56.","havard":"G. Kirillin, T. Shatwell, P. Kasprzak, Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime, Journal of Hydrology. 496 (2013) 47–56.","bjps":"<b>Kirillin G, Shatwell T and Kasprzak P</b> (2013) Consequences of Thermal Pollution from a Nuclear Plant on Lake Temperature and Mixing Regime. <i>Journal of Hydrology</i> <b>496</b>, 47–56.","mla":"Kirillin, Georgiy, et al. “Consequences of Thermal Pollution from a Nuclear Plant on Lake Temperature and Mixing Regime.” <i>Journal of Hydrology</i>, vol. 496, no. 7, 2013, pp. 47–56, <a href=\"https://doi.org/10.1016/j.jhydrol.2013.05.023\">https://doi.org/10.1016/j.jhydrol.2013.05.023</a>.","short":"G. Kirillin, T. Shatwell, P. Kasprzak, Journal of Hydrology 496 (2013) 47–56.","chicago-de":"Kirillin, Georgiy, Tom Shatwell und Peter Kasprzak. 2013. Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime. <i>Journal of Hydrology</i> 496, Nr. 7: 47–56. doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2013.05.023\">10.1016/j.jhydrol.2013.05.023</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Kirillin, Georgiy</span> ; <span style=\"font-variant:small-caps;\">Shatwell, Tom</span> ; <span style=\"font-variant:small-caps;\">Kasprzak, Peter</span>: Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime. In: <i>Journal of Hydrology</i> Bd. 496. Amsterdam, Elsevier BV (2013), Nr. 7, S. 47–56"},"volume":496,"main_file_link":[{"url":"https://doi.org/10.1016/j.jhydrol.2013.05.023"}],"year":"2013","author":[{"last_name":"Kirillin","full_name":"Kirillin, Georgiy","first_name":"Georgiy"},{"full_name":"Shatwell, Tom","first_name":"Tom","id":"86424","last_name":"Shatwell","orcid":"0000-0002-4520-7916"},{"last_name":"Kasprzak","full_name":"Kasprzak, Peter","first_name":"Peter"}],"status":"public","page":"47-56"}]