Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

Autor: H. Kreibich, K. Schröter, G. Di Baldassarre, A. F. Van Loon, M. Mazzoleni, G. W. Abeshu, S. Agafonova, A. AghaKouchak, H. Aksoy, C. Alvarez-Garreton, B. Aznar, L. Balkhi, M. H. Barendrecht, S. Biancamaria, L. Bos-Burgering, C. Bradley, Y. Budiyono, W. Buytaert, L. Capewell, H. Carlson, Y. Cavus, A. Couasnon, G. Coxon, I. Daliakopoulos, M. C. de Ruiter, C. Delus, M. Erfurt, G. Esposito, D. François, F. Frappart, J. Freer, N. Frolova, A. K. Gain, M. Grillakis, J. O. Grima, D. A. Guzmán, L. S. Huning, M. Ionita, M. Kharlamov, D. N. Khoi, N. Kieboom, M. Kireeva, A. Koutroulis, W. Lavado-Casimiro, H.-Y. Li, M. C. LLasat, D. Macdonald, J. Mård, H. Mathew-Richards, A. McKenzie, A. Mejia, E. M. Mendiondo, M. Mens, S. Mobini, G. S. Mohor, V. Nagavciuc, T. Ngo-Duc, H. T. T. Nguyen, P. T. T. Nhi, O. Petrucci, N. H. Quan, P. Quintana-Seguí, S. Razavi, E. Ridolfi, J. Riegel, M. S. Sadik, N. Sairam, E. Savelli, A. Sazonov, S. Sharma, J. Sörensen, F. A. A. Souza, K. Stahl, M. Steinhausen, M. Stoelzle, W. Szalińska, Q. Tang, F. Tian, T. Tokarczyk, C. Tovar, T. V. T. Tran, M. H. J. van Huijgevoort, M. T. H. van Vliet, S. Vorogushyn, T. Wagener, Y. Wang, D. E. Wendt, E. Wickham, L. Yang, M. Zambrano-Bigiarini, P. J. Ward

Publikováno v: Earth System Science Data, Vol 15, Pp 2009-2023 (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://doaj.org/article/36aa2c1316c0428fbdfc70d7aba48b34

Impact database application for natural and technological risk management

Autor: N. Frolova, V. Larionov, J. Bonnin, S. Suchshev, A. Ugarov, N. Malaeva

Publikováno v: Natural Hazards and Earth System Sciences, Vol 20, Pp 95-106 (2020)

Impact database development and application for risk analysis and management promote the usage of self-learning computer systems with elements of artificial intelligence. Such system learning could be successful when the databases store the complete

Externí odkaz: https://doaj.org/article/a9156c1d582447f0b6ae09b88e921803

EVALUATION OF GLACIER MELT CONTRIBUTION TO RUNOFF IN THE NORTH CAUCASUS ALPINE CATCHMENTS USING ISOTOPIC METHODS AND ENERGY BALANCE MODELING

Autor: E. Rets, J. Chizhova, N. Budantseva, N. Frolova, M. Kireeva, N. Loshakova, I. Tokarev, Yu. Vasil’chuk

Publikováno v: Geography, Environment, Sustainability, Vol 10, Iss 3, Pp 4-19 (2017)

Frequency and intensity of river floods rise observed in the North Caucasus during last decades is considered to be driven by recent climate change. In order to predict possible future trends in extreme hydrological events in the context of climate c

Externí odkaz: https://doaj.org/article/5fe5bc083e0849119c2fdf3446cb928c

In vitro activity of cefepime / sulbactam and biapenem against Enterobacterales and Pseudomonas aeruginosa isolated from blood culture from patients with hematological diseases: results of a multicenter study

Autor: G. A. Klyasova, A. V. Fedorova, S. A. Khrulnova, I. N. Frolova, A. V. Vetokhina, I. V. Molchanova, O. Yu. Kutsevalova

Publikováno v: Oncohematology. 18:87-99

Background. Activity against Gram negative bacteria, including Pseudomonas aeruginosa, is required for first line antibiotic therapy in patients with febrile neutropenia.Aim. To study in vitro activity of cefepime / sulbactam and biapenem against Ent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d89c453f321921064c2ec8226a7c096d
https://doi.org/10.17650/1818-8346-2023-18-2-87-99

Energy-Efficient Drying System for Thermally Unstable Disperse Materials

Autor: V. N. Vasilenko, L. N. Frolova, I. V. Dragan, I. Yu. Kochkin, I. D. Eremin

Publikováno v: Russian Engineering Research. 42:913-915

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b7676818adea2d43e81a7c2a93d3936
https://doi.org/10.3103/s1068798x22090258