Statistical analysis and temporal trend of annual maximum temperatures of Abadan in Southwestern of Iran

2015 ◽  
Vol 8 (10) ◽  
pp. 8219-8228
Author(s):  
Yousef Ghavidel Rahimi ◽  
Mahmoud Ahmadi
Keyword(s):  
Statistical Analysis ◽  
Temporal Trend ◽  
Annual Maximum ◽  
Maximum Temperatures

scholarly journals Precipitation Regime and Temporal Changes in the Central Danubian Lowland Region

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dana Halmova ◽  
Pavla Pekarova ◽  
Juraj Olbrimek ◽  
Pavol Miklanek ◽  
Jan Pekar
Keyword(s):  
Spectral Analysis ◽  
Statistical Analysis ◽  
Daily Precipitation ◽  
Point Of View ◽  
Annual Precipitation ◽  
Annual Maximum ◽  
Precipitation Regime ◽  
Initial Hypothesis ◽  
Frequency Curves

The aim of this paper is to investigate the statistical aspects of multiannual variability of precipitation at the Hurbanovo station, Slovakia, over 140 years (1872–2011). We compare the long-term variability of annual precipitation for Hurbanovo (Slovakia), Brno (Czech Republic), Vienna (Austria), and Mosonmagyarovar (Hungary) stations using autocorrelation and spectral analysis methods. From the long-term point of view, there is no consistent trend in the annual precipitation; only a multiannual variability has been detected. Consequently we identify changes in the distribution of annual maximum daily precipitation for Hurbanovo during different periods for winter-spring and summer-autumn seasons using histograms, empirical exceedance curves, and frequency curves of daily precipitation. Next, we calculate the periods of days without precipitation exceeding 29 days between 1872 and 2011. The longest period of days without precipitation was 83 days in 1947. The statistical analysis does not confirm our initial hypothesis that neither high daily precipitation (over 51.2 mm per day) nor long dry periods (more than 50 days without precipitation) would occur more frequently nowadays. We assume that the decrease in annual precipitation over the period 1942–2011 (compared to 1872–1941) is caused by the less frequent occurrence of daily precipitation between 0.4 and 25.6 mm.

scholarly journals An analysis of influenza outbreaks in institutions and enclosed societies

2013 ◽  
Vol 142 (1) ◽  
pp. 107-113 ◽  
Author(s):  
T. J. R. FINNIE ◽  
V. R. COPLEY ◽  
I. M. HALL ◽  
S. LEACH
Keyword(s):  
Statistical Analysis ◽  
Military Personnel ◽  
Temporal Trend ◽  
Care Home ◽  
Home School ◽  
Community Size ◽  
Influenza Outbreaks ◽  
Adjusted Model

SUMMARYThis paper considers the reported attack ratio arising from outbreaks of influenza in enclosed societies. These societies are isolated from the wider community and have greater opportunities for contact between members which would aid the spread of disease. While the particular kind of society (prison, care home, school, barracks, etc.) was not a significant factor in an adjusted model of attack ratio, a person's occupation within the society was. In particular, children and military personnel suffer a greater attack ratio than other occupational types (staff, prisoners, etc.). There was no temporal trend in final attack ratio nor, with the exception of 1918, do pandemic years show abnormal attack ratios. We also observed that as community size increases, the attack ratio undergoes steep nonlinear decline. This statistical analysis draws attention to how the organization of such societies, their size and the occupations of individuals within them affect the final attack ratio.

scholarly journals Identification of Flood-Rich and Flood-Poor Periods by Using Annual Maximum Series of Floods in Spain

Proceedings ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Luis Mediero
Keyword(s):  
Trend Analysis ◽  
Large Scale ◽  
Temporal Trend ◽  
Annual Maximum ◽  
Peak Over Threshold ◽  
Multi Temporal ◽  
In The Beginning ◽  
General Concern ◽  
Stationary Behaviour ◽  
Annual Maximum Series

Currently, there is general concern about the non-stationary behaviour of flood series. Consequently, several studies have been conducted to identify large-scale patterns of change in such flood series. In Spain, a general decreasing trend was found in the period 1959–2009. However, a multi-temporal trend analysis, with varying starting and ending years, showed that trend signs depended on the period considered. Flood oscillations could influence the results, especially when flood-rich and flood-poor periods are located at the beginning or end of the series. In Spain, a flood- rich period in 1950–1970 seemed to lead to the generalised decreasing trend, as it was located at the beginning of the flood series. Nevertheless, the multi-temporal test can only find potential flood- rich and flood-poor periods qualitatively. A methodology has been developed to identify statistically significant flood-rich and flood-poor periods. The expected variability of floods under the stationarity assumption is compared with the variability of floods in observed flood series. The methodology is applied to the longest streamflow series available in Spain. Seven gauging stations located in near-natural catchments, with continuous observations in the period 1942–2014, are selected. Both annual maximum and peak-over-threshold series are considered. Flood-rich and flood-poor periods in terms of flood magnitudes and the annual count of exceedances over a given threshold are identified. A flood-rich period in the beginning of the series and a flood-poor period at its end are identified in most of the selected sites. Accordingly, a flood-rich period placed at the beginning of the series, followed by a flood-poor period, influence the generalised decreasing trend in the flood series previously found in Spain.

scholarly journals Statistical Analysis of Australian Temperature Data

1956 ◽  
Vol 9 (4) ◽  
pp. 542
Author(s):  
SC Das
Keyword(s):  
Statistical Analysis ◽  
Temperature Data ◽  
Summer Maximum ◽  
The Mean ◽  
Maximum Temperatures

The mean summer maximum temperatures of five Australian inland localities for a period of 65 years from 1891 to 1955 are analysed and it is shown that the temperatures have an overall parabolic trend.

scholarly journals Variabilité Temporelle Des Températures Annuelles Et Saisonnières Dans l'Est Algérien

2016 ◽  
Vol 12 (14) ◽  
pp. 45
Author(s):  
Laala Ahmed ◽  
Alatou Djamel
Keyword(s):  
Temporal Variability ◽  
Thermal Anomaly ◽  
Maximum Temperature ◽  
Spatial And Temporal Variability ◽  
Annual Maximum ◽  
The Past ◽  
Maximum Temperatures ◽  
C 30 ◽  
Eastern Algeria ◽  
Thermal Variability

In this study, we tried to characterize the tendency of some thermal variables and their annual fluctuations over a period of 30 years (1982-2011). The results show a spatial and temporal variability of the anomaly to the minimum and maximum temperatures. Cold years represent a percentage ranging from 40 to 57% of the years studied, while hot are estimated at 63% for the years analyzed. Thus, the analysis of long series of minimum and maximum temperature reveals statistically significant trends which present spatial variability for annual and spatiotemporal temperatures to seasonal temperatures. An evolution of annual maximum temperatures to a warming has been recorded for the majority of the provinces of eastern Algeria with notable increases up to + 3°C/30years for the wilaya of Batna. However, the minimum temperatures have downward trends in the range of -1.5°C and - 2°C/30years respectively in Jijel and Setif and upward trends varying between 0.5 and 1.7 °C/30 years. After this study, calculates the thermal anomaly and mapping trends can create a regional picture of the evolution of the temperature in eastern Algeria that shows a significant warming of this region over the past decades especially for the wilaya of Batna. This study includes a reference to define strategies to adapt to thermal variability in eastern Algeria.

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