STATISTICAL ANALYSIS OF SEASONAL VARIATION OF SOLAR RADIATION AND METEOROLOGICAL PARAMETERS IN HIMALAYAN REGION

2021 ◽  
Vol 3 (4) ◽  
pp. 1
Author(s):  
Mahima Anon ◽  
Indira Karakoti ◽  
Hemwati Nandan ◽  
Amardeep Anon ◽  
P. P. Pathak
Keyword(s):  
Seasonal Variation ◽  
Statistical Analysis ◽  
Solar Radiation ◽  
Meteorological Parameters ◽  
Himalayan Region

scholarly journals Statistical Analysis for Prognosis of a Photochemical Smog Episode

2013 ◽  
Vol 9 (2) ◽  
pp. 20-24
Author(s):  
Camelia Gavrilă ◽  
Florinela Ardelean ◽  
Adriana Coman ◽  
Elena Burchiu
Keyword(s):  
Statistical Analysis ◽  
Solar Radiation ◽  
Prognostic Value ◽  
Meteorological Parameters ◽  
Real Data ◽  
Global Solar Radiation ◽  
Photochemical Smog ◽  
Climatic Parameters ◽  
Essential Information ◽  
Pollutant Concentrations

Abstract In this paper we describe the evaluation of various climatic parameters in establishing their prognostic value in a photochemical smog episode. Our application was validated using real data from the “Cercul Militar National” and “Sos. Mihai Bravu nr. 47-49”, from April 2008 to May 2008. The study was performed on hour averages of pollutant concentrations and meteorological parameters and the statistical analysis was based on multiple regressions. We concluded by using mathematical and statistical methods, [1], that an accurate Global Solar Radiation is one of the most important and essential information in the pollution report.

scholarly journals A Comparative study of Time Series, Empirical Orthogonal Transformation and Descriptive Statistical Analysis on Meteorological Parameters over Ogoja and Maiduguri

2019 ◽  
pp. 1-14
Author(s):  
D. O. Akpootu ◽  
B. I. Tijjani ◽  
U. M. Gana
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Relative Humidity ◽  
Solar Radiation ◽  
Cloud Cover ◽  
Meteorological Parameters ◽  
Orthogonal Transformation ◽  
Global Solar Radiation ◽  
Mean Temperature ◽  
Sunshine Hours

In this study, time series statistical analysis was carried out on the monthly average daily meteorological parameters of global solar radiation, sunshine hours, wind speed, mean temperature, rainfall, cloud cover and relative humidity during the period of thirty one years (1980 – 2010) using IBM SPSS Statistics version 20 with expert modeler to determine the level, trend and seasonal variations for Ogoja and Maiduguri. Seasonal Auto Regressive Integrated Moving Average models were determined for the two locations along with their respective statistical indicators of coefficient of determination, Root Mean Square Error, Mean Absolute Percentage Error and Mean Absolute Error and are found suitable for one step ahead forecast for the studied area. The factor analysis (empirical orthogonal transformation) and descriptive statistical analysis was also carried out for the study areas under investigation. The results indicated that the model type for all the meteorological parameters for Ogoja is simple seasonal while that for Maiduguri is simple seasonal except for rainfall and cloud cover with winter’s additive and ARIMA models respectively. The correlation matrix obtained from the factor analysis for the studied area indicated that the global solar radiation and wind speed are more correlated with the mean temperature. The sunshine hours and mean temperature are more correlated with the global solar radiation. The rainfall is more correlated with the relative humidity; similarly, the relative humidity is more correlated with the rainfall. However, the cloud cover is more correlated to the rainfall for Ogoja while for Maiduguri the cloud cover is more correlated to the relative humidity. The component matrix analysis revealed that two seasons are identified for Ogoja; the rainy and dry seasons while for Maiduguri three seasons are identified; the rainy, cool dry (harmattan) and hot dry seasons. The skewness and kurtosis test for Ogoja indicated that the global solar radiation, sunshine hours, cloud cover and relative humidity are negatively skewed and the wind speed, mean temperature and rainfall are positively skewed while the global solar radiation, sunshine hours, wind speed, cloud cover and relative humidity indicates possibility of a leptokurtic distribution and the mean temperature and rainfall indicates possibility of a platykurtic distribution. The skewness and kurtosis for Maiduguri indicated that the solar radiation, rainfall and relative humidity are positively skewed and the sunshine hours, wind speed, mean temperature and cloud cover are negatively skewed while the global solar radiation, rainfall and cloud cover indicates possibility of a leptokurtic distribution and the sunshine hours, wind speed, mean temperature and relative humidity indicates possibility of a platykurtic distribution.

scholarly journals Atmospheric new particle formation at the research station Melpitz, Germany: connection with gaseous precursors and meteorological parameters

2018 ◽  
Vol 18 (3) ◽  
pp. 1835-1861 ◽  
Author(s):  
Johannes Größ ◽  
Amar Hamed ◽  
André Sonntag ◽  
Gerald Spindler ◽  
Hanna Elina Manninen ◽  
...  
Keyword(s):  
Sulfuric Acid ◽  
Solar Radiation ◽  
Gas Phase ◽  
Meteorological Parameters ◽  
Particle Formation ◽  
Number Concentration ◽  
Independent Effect ◽  
Research Station ◽  
New Particle Formation ◽  
Automated Method

Abstract. This paper revisits the atmospheric new particle formation (NPF) process in the polluted Central European troposphere, focusing on the connection with gas-phase precursors and meteorological parameters. Observations were made at the research station Melpitz (former East Germany) between 2008 and 2011 involving a neutral cluster and air ion spectrometer (NAIS). Particle formation events were classified by a new automated method based on the convolution integral of particle number concentration in the diameter interval 2–20 nm. To study the relevance of gaseous sulfuric acid as a precursor for nucleation, a proxy was derived on the basis of direct measurements during a 1-month campaign in May 2008. As a major result, the number concentration of freshly produced particles correlated significantly with the concentration of sulfur dioxide as the main precursor of sulfuric acid. The condensation sink, a factor potentially inhibiting NPF events, played a subordinate role only. The same held for experimentally determined ammonia concentrations. The analysis of meteorological parameters confirmed the absolute need for solar radiation to induce NPF events and demonstrated the presence of significant turbulence during those events. Due to its tight correlation with solar radiation, however, an independent effect of turbulence for NPF could not be established. Based on the diurnal evolution of aerosol, gas-phase, and meteorological parameters near the ground, we further conclude that the particle formation process is likely to start in elevated parts of the boundary layer rather than near ground level.

scholarly journals Occurrence of suicide and seasonal variation

1998 ◽  
Vol 32 (5) ◽  
pp. 408-412 ◽  
Author(s):  
Pedro Retamal C. ◽  
Derek Humphreys
Keyword(s):  
Seasonal Variation ◽  
Statistical Analysis ◽  
Southern Hemisphere ◽  
Suicide Rate ◽  
Seasonal Pattern ◽  
Suicide Rates ◽  
The North ◽  
Political Center

OBJECTIVE: To review the estimated suicide rates for the Region Metropolitan, the main socio-political center in Chile, for the period 1979-1994, and to determine whether they follow a seasonal pattern. METHOD: Data available for the period 1979-94 at the Forensic Services in Chile was analyzed using ANOVA. RESULTS: It was register 5.386 suicides. While the "warm" months (October, November, December & January) concentrated 39.0% of cases, the so called "cold" months reported 28,7%. This contrast is made even clearer by the month-to-month analysis, showing the highest suicide rate in December (10.9%) against the lowest rate in June (7.0%). Further statistical analysis revealed these differences to be significant. CONCLUSION: The study shows that in Chile, representing as it does the Southern Hemisphere, the suicide rates tend to present a seasonal variation as has elsewhere been determined for in the North Hemisphere.

scholarly journals Analysis of soil radon data in earthquake precursory studies

2014 ◽  
Vol 57 (5) ◽  
Author(s):  
Hari Prasad Jaishi ◽  
Sanjay Singh ◽  
Raghavendra Prasad Tiwari ◽  
Ramesh Chandra Tiwari
Keyword(s):  
Statistical Analysis ◽  
Multiple Regression ◽  
Radon Concentration ◽  
Seismic Activity ◽  
Meteorological Parameters ◽  
Regression Method ◽  
Seismic Zone ◽  
Type Ii ◽  
Soil Radon ◽  
Multiple Regression Method

<p>Soil radon data were recorded at two selected sites along Mat fault in Mizoram (India), which lies in the highest seismic zone in India. The study was carried out during July 2011 to May 2013 using LR-115 Type II films. Precursory changes in radon concentration were observed prior to some earthquakes that occurred around the measuring sites. Positive correlation was found between the measured radon data and the seismic activity in the region. Statistical analysis of the radon data together with the meteorological parameters was done using Multiple Regression Method. Results obtained show that the method employed was useful for removing the effect of meteorological parameters and to identify radon maxima possibly caused by seismic activity.</p>

scholarly journals A study of improving thermal environment of external louver through establishment of test bed

2018 ◽  
Vol 7 (3.3) ◽  
pp. 373
Author(s):  
Sun Pil Kwon ◽  
Jae Jun Jung ◽  
Byoung Jo Jung
Keyword(s):  
Statistical Analysis ◽  
Solar Radiation ◽  
Thermal Effect ◽  
Thermal Load ◽  
Thermal Environment ◽  
Direct Solar Radiation ◽  
Maximum Temperature ◽  
Test Bed ◽  
Solar Insolation ◽  
Maximum Temperature Difference

Background/Objectives: To improve a thermal load by increasing internal thermal effect of a building from direct solar radiation through an increase of glass windows.Methods/Statistical analysis: Through the establishment of test beds of the same size, the data of temperature, humidity, solar insolation and PMV of each test bed with or without external louver are acquired to analyze thermal environmental with the simulation.Findings: For the analysis of thermal environment, the amount of energy consumption has been analyzed through the simulation and the data of temperature, humidity, solar insolation and PMV have been acquired for the analysis. With the simulation, about 20% energy saving has been confirmed and the daily averages of temperature and humidity between 8AM to 7PM have been calculated to calculate the maximum temperature difference to be 9.4℃. The solar insolation between 9AM and 7PM was 300W/m2 or below.Improvements/Applications: The improvement of thermal effect with an external louver has been confirmed. It may be applied to the louver system to improve building thermal environment, awning to control direct solar radiation, blind to improve uniformity of illumination intensity toward building during daytime, external blind and ceiling louver system. 

The Negev Radiation Survey

2004 ◽  
Vol 126 (3) ◽  
pp. 906-914 ◽  
Author(s):  
David Faiman ◽  
Daniel Feuermann ◽  
Peter Ibbetson ◽  
Bryan Medwed ◽  
Amos Zemel ◽  
...  
Keyword(s):  
Power Plant ◽  
Solar Radiation ◽  
Site Selection ◽  
Thermal Power Plant ◽  
Meteorological Parameters ◽  
Thermal Power ◽  
Beam Radiation ◽  
Large Variability ◽  
Solar Thermal Power ◽  
Selection For

We present a summary of the principal findings in an ongoing, multiyear, survey of the solar radiation resource and associated meteorological parameters in Israel’s Negev Desert. The summary addresses calibration and monitoring issues, the format in which the annual results are published, availability of the data, and some of the more interesting results observed to date. In particular, we quantify the large variability observed in the direct beam radiation across neighboring sites. The year-to-year variation in this radiation component is also considerable. The variation in the global horizontal radiation is much smaller. Two practical examples are given of uses to which the Negev Radiation Survey has been put: Site selection for a proposed 500 MW solar-thermal power plant; and an estimation of the potential photovoltaic value of rooftops in the major cities.

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