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Wyszukujesz frazę "rainfall distribution" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Causes of periodical rainfall distribution and long-term forecast of precipitation for Lankaran, Azerbaijan
Autorzy:
Mammadov, A.
Rajabov, R.
Casanova, N.
Powiązania:
https://bibliotekanauki.pl/articles/108455.pdf
Data publikacji:
2018
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
rainfall distribution
synoptic processes
atmospheric forces
harmonic analysis
baric gradient
opady
rozkład opadów
prognoza długoterminowa
Azerbejdżan
Opis:
Irregular rainfall distribution is receiving considerable attention. The amount of rainfall for one region can account for 500-600 mm, sometimes 1000 mm. For example, in the year 1985, Zagtala in Azerbaijan received 716 mm of rainfall, while in 1988, 2004 and 2008 - 1151, 1306 and 661 mm, respectively, were measured. In Lankaran 2061 mm were measured in 1982 and 470 mm in 1999. Generally, rainfall distribution differs across the Republic of Azerbaijan. In this study, the physical side of such variations was clarified. In relation to that, the movement speed of the atmosphere in regard of the rotation of the Earth was analyzed, showing that the difference in rainfall distribution, according to the time structure, is connected to the direction change of the atmospheric movement. Generally, the reasons for atmospheric movements cannot be identified as the rotation movement of the earth, mainly because both environments show different activities. While the processes happening in the atmosphere often change, influenced by the pressure gradient, the rotation movement of the earth is more stationary. We also evaluated the rainfall forecast method for the region Lankaran. Taking into account its simplicity, the Shuster method was used. Observation data was divided into stationary and casual elements. Selection of periodicals was determined by separation of long term meteorological data into harmonic functions. By accepting the variation, the coefficient casual item was added.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2018, 6, 2; 39-43
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimation of standard duration maximum rainfall by using regression models
Autorzy:
Yerdelen, Cahit
Asikoglu, Ömer Levend
Abdelkader, Mohamed
Eris, Ebru
Powiązania:
https://bibliotekanauki.pl/articles/1841938.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
Eastern Black Sea Region
Marmara Region
regression model
standard duration maximum rainfall
temporal distribution of maximum daily rainfall
Opis:
Gauging stations of meteorological networks generally record rainfall on a daily basis. However, sub-daily rainfall observations are required for modelling flood control structures, or urban drainage systems. In this respect, determination of temporal distribution of daily rainfall, and estimation of standard duration of rainfall are significant in hydrological studies. Although sub-daily rainfall gauges are present at meteorological networks, especially in the developing countries, their number is very low compared to the gauges that record daily rainfall. This study aims at developing a method for estimating temporal distribution of maximum daily rainfall, and hence for generating maximum rainfall envelope curves. For this purpose, the standard duration of rainfall was examined. Among various regression methods, it was determined that the temporal distribution of 24-hour rainfall successfully fits the logarithmic model. The logarithmic model’s regression coefficients (named a and b) were then linked to the geographic and meteorological characteristics of the gauging stations. The developed model was applied to 47 stations located at two distinct geographical regions: the Marmara Sea Region and Eastern Black Sea Region, Turkey. Various statistical criteria were used to test the method's accuracy, and the proposed model provided successful results. For instance, the RMSE values of the regression coefficients a and b in Marmara Regions are 0.004 and 0.027. On the other hand, RMSE values are 0.007 and 0.02 for Eastern Black Sea Region.
Źródło:
Journal of Water and Land Development; 2021, 50; 281-288
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin
Autorzy:
Wdowikowski, M.
Kaźmierczak, B.
Ledvinka, O.
Powiązania:
https://bibliotekanauki.pl/articles/108530.pdf
Data publikacji:
2016
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
trend analysis
Mann-Kendall test
meteorological data
maximum rainfall
GED
Lusatian Neisse
IMWM-NRI
probabilistic distribution
Opis:
The scope of this study was to assess the usefulness of top probability distributions to describe maximum rainfall data in the Lusatian Neisse River basin, based on eight IMWM-NRI meteorological stations. The research material was composed of 50-year precipitation series of daily totals from 1961 to 2010. Misssing measurement data were estimated using a weighted average method. Homogeneity for refilled data were investigated by precipitation double aggregation curve. Correlation between the measurement data varied from 96 to 99% and did not indicate a violation of the homogeneity of rainfall data series. Variability of recorded daily precipitation maxima were studied by linear regression and non-parametric Mann-Kendall tests. Long-term period changes at maximum rainfalls for four stations remained statistically insignificant, and for the other four were significant, although the structure of maximums was relatively similar. To describe the measured data, there were used the Fréchet, Gamma, Generalized Exponential Distribution (GED), Gumbel, Log-normal and Weibull distributions. Particular distribution parameters were estimated using the maximum likelihood method. The conformity of the analyzed theoretical distributions with measured data was inspected using the Schwarz Bayesian information criterion (BIC) and also by the relative residual mean square error (RRMSE). Among others, the Gamma, GED, and Weibull distributions fulfilled the compliance criterion for each meteorological station respectively. The BIC criterion indicated GED as the best; however differences were minor between GED on the one hand and the Gamma and Weibull distributions on the other. After conducting the RRMSE analysis it was found that, in comparison to the other distributions, GED best describes the measured maximum rainfall data.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 53-63
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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