Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Wendy Ling Shinyie"'
Autor:
Zun Liang Chuan, Wan Nur Syahidah Wan Yusoff, Azlyna Senawi, Mohd Romlay Mohd Akramin, Soo-Fen Fam, Wendy Ling Shinyie, Tan Lit Ken
Publikováno v:
Pertanika Journal of Science and Technology. 30:319-342
Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. However, previous studies employed regionalisation algorithms, namely agglomerative hierarchica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ceb716231ff1201d3f805f626a354ef
https://doi.org/10.47836/pjst.30.1.18
https://doi.org/10.47836/pjst.30.1.18
Publikováno v:
Pertanika Journal of Science and Technology. 29
As the climate change is likely to be adversely affecting the yield of paddy production, thence it has brought a limelight of the probable challenges on human particularly regional food security issues. This paper aims to fit multivariate time series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf5a69afa3dc22977afc47f5291c2bda
https://doi.org/10.47836/pjst.29.1.15
https://doi.org/10.47836/pjst.29.1.15
Publikováno v:
Water Resources Management. 28:3489-3514
Analysis of extreme rainfall events can be performed using two main approaches; fitting Generalized Extreme Value distribution to the yearly peaks of events in the observation period or the annual maximum series, and fitting Generalized Pareto distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70fdb14d47968ff33187e1ea0a9e01dd
https://doi.org/10.1007/s11269-014-0684-1
https://doi.org/10.1007/s11269-014-0684-1
Publikováno v:
Water Resources Management. 27:2325-2352
The two primary approaches of extreme events analysis are annual maximum series (AMS), which fits Generalized Extreme Value (GEV) distribution to the yearly peaks of events in the observation period, and partial duration series (PDS), which fits Gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af9b424ddef56251659fe6ef3c0a06b3
https://doi.org/10.1007/s11269-013-0290-7
https://doi.org/10.1007/s11269-013-0290-7
Autor:
Soo-Fen Fam, Tan Lit Ken, Noriszura Ismail, Wan Nur Syahidah Wan Yusoff, Azlyna Senawi, Zun Liang Chuan, Wendy Ling Shinyie
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 342:012070
Due to the limited of historical precipitation records, agglomerative hierarchical clustering algorithms widely used to extrapolate information from gauged to ungauged precipitation catchments in yielding a more reliable projection of extreme hydro-m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c55e811a0df777e5a5b37871c8daed4f
https://doi.org/10.1088/1757-899x/342/1/012070
https://doi.org/10.1088/1757-899x/342/1/012070
Publikováno v:
AIP Conference Proceedings.
In this study, two series of data for extreme rainfall events are generated based on Annual Maximum and Partial Duration Methods, derived from 102 rain-gauge stations in Peninsular from 1982-2012. To determine the optimal threshold for each station,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25797b0df45ad467bdcbc989edbb7ba8
https://doi.org/10.1063/1.4907461
https://doi.org/10.1063/1.4907461
Autor:
Zun Liang Chuan, Noriszura Ismail, Wendy Ling Shinyie, Tan Lit Ken, Soo-Fen Fam, Azlyna Senawi, Wan Nur Syahidah Wan Yusoff
Publikováno v:
IOP Conference Series: Materials Science & Engineering; Apr2018, Vol. 342 Issue 1, p1-1, 1p