Overvåkning av elvemusling i Mølnelva, Bodø kommune. Resultater fra undersøkelser i 2022 med vurdering av hydrologiske og hydrauliske forhold

Autor: Gosselin, Marie-Pierre, Larsen, Bjørn Mejdell, Hedger, Richard

Externí odkaz: https://hdl.handle.net/11250/3073952

High and Low Flow Trends in Norway - co-occurrence and causing factors

Autor: Nordeide, Sunniva

Publikováno v: Nordeide, Sunniva. High and Low Flow Trends in Norway - co-occurrence and causing factors. Master thesis, University of Oslo, 2022

Externí odkaz: http://hdl.handle.net/10852/95722
https://www.duo.uio.no/bitstream/handle/10852/95722/1/High_and_low_flow_trends_in_Norway_cooccurrence_and_causing_factors_Sunniva_Nordeide.pdf

Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting

Autor: Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

Publikováno v: Advances in Civil Engineering. 2023:1-15

With the rapid development of machine learning (ML) models, the artificial neural network (ANN) is being increasingly applied for forecasting hydrological processes. However, researchers have not treated hybrid ML models in much detail. To address th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ad6e9c5923fccf302a34fbef2a9f1b1
https://doi.org/10.1155/2023/9947603

Panta Rhei benchmark dataset

Autor: Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, Philip J. Ward

Publikováno v: Earth System Science Data
Earth System Science Data, 2023, 15, pp.2009-2023. ⟨10.5194/essd-15-2009-2023⟩
Earth System Science Data, 15(5), 2009-2023. Copernicus Publications
Kreibich, H, Schröter, K, Di Baldassarre, G, Van Loon, A F, Mazzoleni, M, Abeshu, G W, Agafonova, S, Aghakouchak, A, Aksoy, H, Alvarez-Garreton, C, Aznar, B, Balkhi, L, Barendrecht, M H, Biancamaria, S, Bos-Burgering, L, Bradley, C, Budiyono, Y, Buytaert, W, Capewell, L, Carlson, H, Cavus, Y, Couasnon, A, Coxon, G, Daliakopoulos, I, De Ruiter, M C, Delus, C, Erfurt, M, Esposito, G, François, D, Frappart, F, Freer, J, Frolova, N, Gain, A K, Grillakis, M, Grima, J O, Guzmán, D A, Huning, L S, Ionita, M, Kharlamov, M, Khoi, D N, Kieboom, N, Kireeva, M, Koutroulis, A, Lavado-Casimiro, W, Li, H Y, Llasat, M C, Macdonald, D, Mård, J, Mathew-Richards, H, Mckenzie, A, Mejia, A, Mendiondo, E M, Mens, M, Mobini, S, Mohor, G S, Nagavciuc, V, Ngo-Duc, T, Nguyen, H T T, Nhi, P T T, Petrucci, O, Quan, N H, Quintana-Seguí, P, Razavi, S, Ridolfi, E, Riegel, J, Sadik, M S, Sairam, N, Savelli, E, Sazonov, A, Sharma, S, Sörensen, J, Souza, F A A, Stahl, K, Steinhausen, M, Stoelzle, M, Szalińska, W, Tang, Q, Tian, F, Tokarczyk, T, Tovar, C, Tran, T V T, Van Huijgevoort, M H J, Van Vliet, M T H, Vorogushyn, S, Wagener, T, Wang, Y, Wendt, D E, Wickham, E, Yang, L, Zambrano-Bigiarini, M & Ward, P J 2023, ' Panta Rhei benchmark dataset : socio-hydrological data of paired events of floods and droughts ', Earth System Science Data, vol. 15, no. 5, pp. 2009-2023 . https://doi.org/10.5194/essd-15-2009-2023

As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a448d4fb89f562ccfab7166c0871da9e
https://doi.org/10.5194/essd-15-2009-2023

Analys av grundvattennivåns avklingning : Hur växters djupa vattenupptag skapar dygnsvariationer i grundvattennivån

Autor: Friberg, Klara

In order to calculate the groundwater level it takes a well-adjusted model and understanding of the processes affecting the groundwater level. The general assumption that all-ready-formed groundwater won’t be affected by water uptake by vegetation

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-533822