يعرض 1 - 20 نتائج من 123 نتيجة بحث عن '"statistical hydrology"', وقت الاستعلام: 0.59s تنقيح النتائج
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    المصدر: Brazilian Journal of Physical Geography; v. 16, n. 2 (2023): Revista Brasileira de Geografia Fisica; 837-846 ; Revista Brasileira de Geografia Física; v. 16, n. 2 (2023): Revista Brasileira de Geografia Fisica; 837-846 ; 1984-2295

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    Relation: https://periodicos.ufpe.br/revistas/rbgfe/article/view/255061/43640; https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/255061/41789; https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/255061/41790; https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/255061/41791; https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/255061/41792; Abida, H.; Ellouze, M., 2008. Probability distribution of flood flows in Tunisia. Hydrology and Earth System Sciences 12, 703–714. Agarwal, A.; Maheswaran, R.; Kurths, J.; Khosa, R., 2016. Wavelet spectrum and self-organizing maps-based approach for hydrologic regionalization – a case study in the western United States. Water Resources Management 30, 4399-4413. Ahmad, I.; Fawad, M.; Mahmood, I., 2015. At-Site Flood Frequency Analysis of Annual Maximum Stream Flows in Pakistan Using Robust Estimation Methods. Polish Journal of Environmental Studies, 24. Ávila, L. F.; Mello, C. R. D.; YanagI, S. D. N. M.; SACRAMENTO, O. B., 2014. Tendências de temperaturas mínimas e máximas do ar no Estado de Minas Gerais. Pesquisa Agropecuária Brasileira 49, 247-256. Beskow, S.; Caldeira, T. L.; Mello, C. R.; Faria, L. C.; Guedes, A. S., 2015. Multiparameter probability for heavy rainfall modeling in extreme southern Brazil. Journal of Hydrology: Regional Studies 4, 123-133. Beskow, S.; Mello, C. R. de; Vargas, M. M.; Corrêa, L. de L.; Caldeira, T. L.; Durães, M. S. F. et al., 2016. Artificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions. Journal of Hydrology, 541, 1406-1419. Burn, D. H.; Whitfield, P. H., 2016. Changes in floods and flood regimes in Canada. Canadian Water Resources Journal/Revue canadienne des ressources hydriques 41, 139-150. Cassalho, F.; Beskow, S.; de Mello, C. R.; de Moura, M. M.; de Oliveira, L. F.,2019. Artificial intelligence for identifying hydrologically homogeneous regions: A state‐of‐the‐art regional flood frequency analysis. Hydrological Processes 33, 1101-1116. Chen, M., Papadikis, K., & Jun, C., 2021. An investigation on the non-stationarity of flood frequency across the UK. Journal of Hydrology, 597, 126309. Ciupak, M.; Ozga-Zieli ´nski, B.; Tokarczyk, T.; Adamowski, J., 2021. A Probabilistic Model for Maximum Rainfall Frequency Analysis. Water [online] 13. https://doi.org/ 10.3390/w13192688. Coelho, M., Fernandes, C.V.S. & Detzel, D.H.M., 2019. Uncertainty analysis in the detection of trends, cycles, and shifts in water resources time series. Water Resour Manage [online] 33. https://doi.org/10.1007/s11269-019-02210-1. Coopersmith, E. J.; Minsker, B. S.; Sivapalan, M., 2014. Patterns of regional hydroclimatic shifts: An analysis of changing hydrologic regimes. Water Resources Research, 50, 1960-1983. Cunderlik, J. M.; Ourda, T. B. M. J., 2009. Trends in the timing and magnitude of floods in Canada. Journal of Hydrology 375, 471-480. Do Vale Moreira, J. G.; Aquino, A. P. V.; Mesquita, A. A.; Muniz, M. A.; Serrano, R. O. P., 2019. Stationarity in Annual Daily Maximum Streamflow Series in the Hydrographic Basin of the Upper Juruá River, Western Amazon. Revista Brasileira de Geografia Física 12, 705-713. Faulkner, D.; Warren, S.; Burn, D., 2016. Design floods for all of Canada. Canadian Water Resources Journal/Revue canadienne des ressources hydriques 41, 398-411. François, B., Schlef, K. E., Wi, S., & Brown, C. M., 2019. Design considerations for riverine floods in a changing climate–a review. Journal of Hydrology, 574, 557-573. Hassan, M. U.; Hayat, O.; Noreen, Z., 2019. Selecting the best probability distribution for at-site flood frequency analysis; a study of Torne River. Sn Applied Sciences, 1, 1-10. Heidarpour, B.; Saghafian, B.; Yazdi, J.; Azamathulla, H. M., 2017. Effect of extraordinary large floods on at-site flood frequency. Water Resources Management, 31, 4187-4205. Hodgkins, G. A.; Whitfield, P. H.; Burn, D. H., 2017. Climate-driven variability in the occurrence of major floods across North America and Eutorpe. Journal of Hydrolog 552, 704-717. Hosking, J. R. M.; Wallis, J. R., 1997. Regional Frequency Analysis – An Approach Based on L-Moments. Cambridge: Ed. Cambridge University Press. Hu, L., Nikolopoulos, E. I., Marra, F., & Anagnostou, E. N, 2020. Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States. Journal of Flood Risk Management, 13(1), e12580. Jehanzaib, M., Shah, S. A., Yoo, J., & Kim, T. W., 2020. Investigating the impacts of climate change and human activities on hydrological drought using non-stationary approaches. Journal of Hydrology, 588, 125052. Joseph, J. F.; Falcon, H. E.; Sharif, H. O., 2013. Hydrologic trends and correlations in south Texas River basins: 1950–2009. Journal of Hydrologic Engineering 18, 1653-1662. Lawrence, D., 2020. Uncertainty introduced by flood frequency analysis in projections for changes in flood magnitudes under a future climate in Norway. Journal of Hydrology: Regional Studies, 28, 100675. Li, Q.; Zeng, H.; Liu, P.; Li, Z.; Yu, W.; Zhou, H., 2022. Bivariate Nonstationary Extreme Flood Risk Estimation Using Mixture Distribution and Copula Function for the Longmen Reservoir, North China. https://doi.org/ 10.3390/w14040604. Mello, C. R.; Silva, A. M.; Beskow, S., 2020. Hidrologia de superfície: princípios e aplicações. 2. ed. Lavras: UFLA 531p Merz, B.; Kreibich, H.; Schwarze, R.; Thieken, A., 2010. Review article “assessmentof economic flood damage”. Natural Hazards and Earth System Sciences 10, 1697-1724. Mediero, L. et al., 2015. Identification of coherent flood regions across Europe by using the longest streamflow records. Journal of Hydrology 528, 341-360. Naghettini, M (Ed.)., 2017. Fundamentals of statistical hydrology. Switzerland: Springer International Publishing. Oudin, L.; Kay A.; Andréassian V.; PERRIN C., 2010. Are seemingly physically similar catchments truly hydrologically similar?. Water Resources Research 46. DOI:10.1029/2009WR008887. Penereiro, J. C.; Orlando, D. V., 2013. Análises de tendências em séries temporais anuais de dados climáticos e hidrológicos na bacia do Rio Parnaíba entre os estados do Maranhão e Piauí/Brasil. Revista Geográfica Acadêmica 7, 5-21. Salviano, M. F.; Groppo, J. D.; Pellegrino, G. Q., 2016. Análise de tendência em dados de precipitação e temperatura no Brasil. Revista Brasileira de Meteorologia 31, 64-73. Santos, C. A.; Lima, A. M. M.; Farias, M. H. C. S.; Aires, U. R. V.; Serrão, E. A. O., 2016. Análise estatística da não estacionariedade de séries temporais de vazão máxima anual diária na bacia hidrográfica do rio Pardo. Holos 7, 179-193. Tang Q., 2020. Global change hydrology: Terrestrial water cycle and global change. Science China Earth Sciences, 63. https://doi.org/ 10.1007/s11430-019-9559-9.; Uliana, E. M.; SilvA, D. D. D.; Uliana, E. M.; Rodrigues, B. S.; Corrêdo, L. D. P., 2015. Análise de tendência em séries históricas de vazão e precipitação: uso de teste estatístico não paramétrico. Revista Ambiente & Água. UNISDR. Making Development Sustainable: The Future of Disaster Risk Management. 10, 82-88. Wang, J., Xu, Y., Wang, Y., Yuan, J., Wang, Q., & Xiang, J., 2019. Non-stationarity analysis of extreme water level in response to climate change and urbanization in the Taihu Basin, China. Stochastic Environmental Research and Risk Assessment, 33(3), 891-904. Wright, D. B., Yu, G., & England, J. F., 2020. Six decades of rainfall and flood frequency analysis using stochastic storm transposition: Review, progress, and prospects. Journal of Hydrology, 585, 124816. WMO n° 100, 2011. Guide to Climatological Practices. Secretariat of the World Meteorological Organization, Geneva. Yu, G., Wright, D. B., Zhu, Z., Smith, C., & Holman, K. D., 2019. Process-based flood frequency analysis in an agricultural watershed exhibiting nonstationary flood seasonality. Hydrology and Earth System Sciences, 23(5), 2225-2243. Yue, S.; Pilon, P.; Phinney, B.; Cavadias, G., 2002. The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrological Processes 16, 1807-1829. Zhang, Z.; Stadnyk, T. A.; Burn, D. H., 2019. Identification of a preferred statistical distribution for at-site flood frequency analysis in Canada. Canadian Water Resources Journal/Revue canadienne des ressources hydriquesn 45, 43-58.; https://periodicos.ufpe.br/revistas/rbgfe/article/view/255061

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    المصدر: RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 4 No. 9 (2023): CLICK HERE TO ACCESS THE ARTICLES; e494118 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 4 Núm. 9 (2023): HAGA CLIC AQUÍ PARA ACCEDER A LOS ARTÍCULOS; e494118 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; v. 4 n. 9 (2023): CLIQUE AQUI PARA ACESSAR OS ARTIGOS; e494118 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 4 N.º 9 (2023): CLIQUE AQUI PARA ACESSAR OS ARTIGOS; e494118 ; 2675-6218

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    المساهمون: Hesarkazzazi, Sina, Arabzadeh, Rezgar, Hajibabaei, Mohsen, Rauch, Wolfgang, Kjeldsen, Thomas R., Prosdocimi, Ilaria, Castellarin, Attilio, Sitzenfrei, Robert

    Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000630317300001; volume:Ahead of Print; firstpage:1; lastpage:16; numberofpages:16; journal:HYDROLOGICAL SCIENCES JOURNAL; http://hdl.handle.net/10278/3737855; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102925885

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    المصدر: Proceedings of the National Academy of Sciences of the United States of America, 2015 Oct . 112(41), 12621-12626.

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    المصدر: Water; Volume 11; Issue 7; Pages: 1433

    جغرافية الموضوع: agris

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    Relation: Water and Climate Change; https://dx.doi.org/10.3390/w11071433

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