Zobrazeno 1 - 10
of 69
pro vyhledávání: '"ALAMGIR KHALIL"'
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 3 (2024)
Droughts significantly impact water resources and agriculture, leading to economic losses and potential human fatalities. This study aims to predict droughts by analysing changes in the Standardised Precipitation Evapotranspiration Index (SPEI) for t
Externí odkaz:
https://doaj.org/article/a7f27d09e866497a80dc7db524882b76
Autor:
Alamgir Khalil
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 12, Pp 4642-4668 (2023)
The main purpose of this paper was to investigate the monthly, seasonal, and annual rainfall variability in the Mae Klong River Basin in Thailand using the Mann–Kendall (MK) test, Sen's slope method, Spearman's Rho (SR) test, and the innovative tre
Externí odkaz:
https://doaj.org/article/a8298ead94e4463e820a511a28e931f4
Autor:
Alamgir Khalil
Publikováno v:
Water Supply, Vol 23, Iss 5, Pp 1885-1902 (2023)
Mean monthly streamflow records of ten gauging stations in the Mae Klong River Basin, Thailand, were analyzed for trends using non-parametric approaches for the period 2000–2015. The statistical significance of trends was tested on monthly, seasona
Externí odkaz:
https://doaj.org/article/6716d05420ab48dd805eebb94b0c2b3d
Autor:
Alamgir Khalil
Publikováno v:
Water Supply, Vol 22, Iss 9, Pp 7352-7374 (2022)
Drought is a slow-onset natural hazard that has major social, economic, and environmental consequences. This study examined the temporal and spatial characteristics of meteorological droughts in the Mae Klong River Basin, Thailand, during 1971–2015
Externí odkaz:
https://doaj.org/article/acbd2dee363e448baec9c21c038a0bb9
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Outlying observations have a large influence on the linear model selection process. In this article, we present a novel approach to robust model selection in linear regression to accommodate the situations where outliers are present in the d
Externí odkaz:
https://doaj.org/article/4b852032ce694dd59b5de25c4081ec69
Autor:
Bawar Iftikhar, Sophia C. Alih, Mohammadreza Vafaei, Raid Alrowais, Muhammad Tariq Bashir, Alamgir Khalil, Muhammad Rizwan, Muhammad Faisal Javed, Muhammad Faisal Rehman, Abdullah Mohamed
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e14457- (2023)
The purpose of this research was to conduct a scientometric evaluation of the literature pertaining to plastic sand in order to evaluate its many aspects. Conventional review studies have several limitations when it comes to their capacity to complet
Externí odkaz:
https://doaj.org/article/32724d6baf354267ad8d96cd3a82da23
Autor:
Alamgir Khalil
Publikováno v:
Applied Water Science, Vol 11, Iss 9, Pp 1-11 (2021)
Abstract An accurate and complete rainfall record is prerequisite for climate studies. The purpose of this research study was to evaluate the homogeneity of the rainfall series for the Mae Klong River Basin in Thailand. Monthly rainfall data of eight
Externí odkaz:
https://doaj.org/article/0810de4277b24766a59a0aed59b82bc2
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 42, Iss 5, Pp 1125-1134 (2020)
In this paper, a new probability model is produced, which is actually a modification of the Lomax distribution, called Flexible Lomax (FL). The Flexible Lomax performs better than Lomax and its other invariants. The statistical properties of the Fl
Externí odkaz:
https://doaj.org/article/0bad0b8aca3444e4a59f3c257bb91326
Autor:
Alamgir Khalil
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 42, Iss 4, Pp 879-888 (2020)
This paper examined seasonal and annual rainfall trends of the Mae Klong River Basin in Thailand. Monthly rainfall data of eight stations were used for the period 1971‒2015. The non-parametric Mann-Kendall test was used to detect trends whereas t
Externí odkaz:
https://doaj.org/article/c5fa513601c041a89176f09bfbcc3f85
Publikováno v:
Modelling and Simulation in Engineering, Vol 2022 (2022)
The Rayleigh flexible Weibull extension (RFWE) distribution, a new three-parameter model introduced in this paper, is a generalization of the flexible Weibull extension. This model produces best fit for failure time of electronic device obtained from
Externí odkaz:
https://doaj.org/article/c4fa294cadd345b499c578a2a0505bab