Zobrazeno 1 - 10 of 66 pro vyhledávání: '"Fahim Ashkar"'
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Akademický článek
Best-fit probability distribution models for monthly rainfall of Northeastern Brazil
Autor: Patricia de Souza Medeiros Pina Ximenes, Antonio Samuel Alves da Silva, Fahim Ashkar, Tatijana Stosic
Publikováno v: Water Science and Technology, Vol 84, Iss 6, Pp 1541-1556 (2021)
The analysis of precipitation data is extremely important for strategic planning and decision-making in various natural systems, as well as in planning and preparing for a drought period. The drought is responsible for several impacts on the economy
Externí odkaz: https://doaj.org/article/c2170751d38044969c2285171a6d9e05
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2
Best-fit probability distribution models for monthly rainfall of Northeastern Brazil
Autor: Tatijana Stosic, Patricia de Souza Medeiros Pina Ximenes, Antonio Samuel Alves da Silva, Fahim Ashkar
Publikováno v: Water Science and Technology, Vol 84, Iss 6, Pp 1541-1556 (2021)
The analysis of precipitation data is extremely important for strategic planning and decision-making in various natural systems, as well as in planning and preparing for a drought period. The drought is responsible for several impacts on the economy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe09534b62d0e1f42458765ed5e3a1d
http://wst.iwaponline.com/content/84/6/1541
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3
Estimating flood quantiles at ungauged sites using nonparametric regression methods with spatial components
Autor: Shabnam Mostofi Zadeh, Fahim Ashkar, Martin Durocher, Donald H. Burn
Publikováno v: Hydrological Sciences Journal. 64:1056-1070
Prediction of flood quantiles at ungauged sites has been investigated using several nonparametric regression methods including: local regression based on regions of influence, neural networks and generalized additive models (GAM). These methods were
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c001a178ae6f42975ff74ce1eb7689
https://doi.org/10.1080/02626667.2019.1620952
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4
Pooled flood frequency analysis: a comparison based on peaks-over-threshold and annual maximum series
Autor: Donald H. Burn, Martin Durocher, Shabnam Mostofi Zadeh, Fahim Ashkar
Publikováno v: Hydrological Sciences Journal. 64:121-136
Despite some theoretical advantages of peaks-over-threshold (POT) series over annual maximum (AMAX) series, some practical aspects of flood frequency analysis using AMAX or POT series are still sub...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94402449e70a57898d32027e13699dd5
https://doi.org/10.1080/02626667.2019.1577556
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6
Discrimination between a group of three-parameter distributions for hydro-meteorological frequency modeling
Autor: Fahim Ashkar, Ismaila Ba
Publikováno v: Canadian Journal of Civil Engineering. 45:351-365
We recommend methods of discrimination between some three-parameter distributions used in hydro-meteorological frequency modeling. Discriminations are between model pairs belonging to the group (generalized extreme value (GEV), Pearson Type III (P3),
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca54c24f9ff9f43034013617923bccaa
https://doi.org/10.1139/cjce-2017-0416
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7
Selection between the generalized Pareto and kappa distributions in peaks-over-threshold hydrological frequency modelling
Autor: Fahim Ashkar, Ismaila Ba
Publikováno v: Hydrological Sciences Journal. 62:1167-1180
Hydrologists use the generalized Pareto (GP) distribution in peaks-over-threshold (POT) modelling of extremes. A model with similar uses is the two-parameter kappa (KAP) distribution. KAP has had fewer hydrological applications than GP, but some stud
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adc197ddb035d7171148b972c4970777
https://doi.org/10.1080/02626667.2017.1302089
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