Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies

Autor: M. Batalini de Macedo, N. K. Mangukiya, M. C. Fava, A. Sharma, R. Fray da Silva, A. Agarwal, M. T. Razzolini, E. M. Mendiondo, N. K. Goel, M. Kurian, A. C. Nardocci

Publikováno v: Proceedings of the International Association of Hydrological Sciences, Vol 386, Pp 41-46 (2024)

Megacities in developing countries are commonly affected by flooding events. The use of flood models can contribute to an evidence-based decision-making process. For a good representation, these models require physical data for catchment parameteriza

Externí odkaz: https://doaj.org/article/e8afd355961f4555854fe6c08f32cf2c

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

Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty

Autor: A. Shrestha, F. A. A. Souza, S. Park, C. Cherry, M. Garcia, D. J. Yu, E. M. Mendiondo

Publikováno v: Hydrology and Earth System Sciences, Vol 26, Pp 4893-4917 (2022)

The Columbia River Treaty (CRT) signed between the United States and Canada in 1961 is known as one of the most successful transboundary water treaties. Under continued cooperation, both countries equitably share collective responsibilities of reserv

Externí odkaz: https://doaj.org/article/a6bb769f040146b8a437eb7b4e993594

Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system, Brazil

Autor: D. Taffarello, R. Srinivasan, G. S. Mohor, J. L. B. Guimarães, M. do Carmo Calijuri, E. M. Mendiondo

Publikováno v: Hydrology and Earth System Sciences, Vol 22, Pp 4699-4723 (2018)

Although hydrologic models provide hypothesis testing of complex dynamics occurring at catchments, freshwater quality modeling is still incipient at many subtropical headwaters. In Brazil, a few modeling studies assess freshwater nutrients, limiti

Externí odkaz: https://doaj.org/article/863c4cb84963446dbb609d8f719d8b89

Traditional and Novel Methods of Rainfall Observation and Measurement: A Review.

Autor: Wang, Xing¹ (AUTHOR) shisy01@radi.ac.cn, Shi, Shuaiyi² (AUTHOR) jwangxing0719@163.com, Zhu, Litao³ (AUTHOR), Nie, Yunfeng⁴ (AUTHOR), Lai, Guojun⁵ (AUTHOR)

Publikováno v: Journal of Hydrometeorology. Dec2023, Vol. 24 Issue 12, p2153-2176. 24p.