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Samuel Selvaraj, R.
- Association between Surface Ozone and Solar Activity
Abstract Views :326 |
PDF Views:101
Authors
Affiliations
1 Presidency College, Department of Physics, Chennai-600 005, IN
2 Dhanalakshmi Srinivasan College of Engineering & Technology, Chennai-603 104, IN
1 Presidency College, Department of Physics, Chennai-600 005, IN
2 Dhanalakshmi Srinivasan College of Engineering & Technology, Chennai-603 104, IN
Source
Indian Journal of Science and Technology, Vol 3, No 3 (2010), Pagination: 332-334Abstract
The possible relationship between surface ozone and smoothed sunspot numbers (SSN) has been studied. The sunspot data were collected from Udaipur Solar Observatory for 1996-2004. Surface ozone has been measured at Tranquebar (11°N, 79.9 °E), a tropical rural coastal site on the east coast of southeast India, during the same period. The measurements have shown that there exists a significant diurnal cycle/oscillation of average ozone with a maximum concentrations in the afternoon and average minimum ozone concentration at sunrise. Ozone measurements have also shown that the average higher concentrations [23 ± 9 ppbv] in May and lower concentration (17±7 ppbv) in October at this site. Further, the increase in surface ozone in association with increase in sunspot numbers is observed during May and October.Keywords
Smoothed Sunspot Numbers, Surface Ozone, Significant Diurnal CycleFull Text
References
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- Statistical Relationship between Surface Ozone and Solar Activity in a Tropical Rural Coastal Site, India
Abstract Views :399 |
PDF Views:111
Authors
Affiliations
1 Department of Physics, Presidency College, Chennai- 600 005, IN
1 Department of Physics, Presidency College, Chennai- 600 005, IN
Source
Indian Journal of Science and Technology, Vol 3, No 7 (2010), Pagination: 793-795Abstract
Surface ozone has been measured at Tranquabar (11°N, 79°9'E), a tropical rural site on the east coast of south India, during the years 1996 to 2004. The sunspot data were collected from Udaipur solar observatory during the same period. The relationship between annual mean smoothed sunspot number and annual mean surface ozone levels are studied by Pearson product moment correlation coefficient and that is found to be a high value 0.94. High positive rank correlation coefficients 0.76 and 0.62 obtained for the years 2000 and 2002 indicates the influence of higher solar activity over the surface ozone levels.Keywords
Smoothed Sunspot Numbers, Surface Ozone, Solar ActivityFull Text
References
- Ahrens CD (2000) Meteorology today, an introduction to weather, climate and environment, 6th ed., Brooks/Cole London.
- Debaja SB, Jayakumar SJ, Ganesan K, Jadhav DB and Seetaramayya (2003) Surface ozone measurements at tropical rural coastal station Tranquabar India, Atmos. Environ. (UK). 37, 4911- 4916.
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- Singh N and Sontakke NA (1999) On the variability and prediction of rainfall in the post-monsoon season over India. Int. J. Climatology. 19(3), 309-339.
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- Measurement of Surface Ozone in the Year 2011 at Different Sites over Tamil Nadu, India
Abstract Views :425 |
PDF Views:114
Authors
R. Samuel Selvaraj
1,
B. Milton Boaz
1,
C. P. Sachithananthem
1,
K. Padma
1,
S. Steephen Rajkumar Inbanathan
2,
G. Kanmani Rajaselvi
1,
P. Indira
2,
S. P. Vimalpriya
1
Affiliations
1 Postgraduate Research Department of Physics, Presidency College-600 005, Chennai, IN
2 Postgraduate Research Department, the American College, Madurai-625 002, IN
1 Postgraduate Research Department of Physics, Presidency College-600 005, Chennai, IN
2 Postgraduate Research Department, the American College, Madurai-625 002, IN
Source
Indian Journal of Science and Technology, Vol 5, No 2 (2012), Pagination: 2047-2050Abstract
The Ozone concentration is influenced by the intensity of solar radiation and chemical reaction between oxides of nitrogen (NOx) and volatile organic compounds (VOC) in the presence of sunlight. This study aspires to asses distribution of the surface zone concentration, characteristics of hourly and daily mean surface Ozone with different climatic parameters, such as temperature, relative humidity, and wind speed over Tamil Nadu. Measurement was carried out at 11-stations (except this study no data is made available) having different weather conditions during the period from 8th June to 7th July of the year 2011. We were the first researchers visited most of the district of Tamil Nadu state and measured surface Ozone. We have made an effort to identify areas where there is elevated surface Ozone concentration. Results of this study reveals that hourly and daily mean values of ground level Ozone concentrartion in Tamil nadu was 0.0109ppm and 0.0108ppm respectively. The highest ground level Ozone concentration was in Kanniya kumari district (0.0179 ppm). The lowest was in Cuddalore district (0.0038ppm). During the study period, the concentration of ground level Ozone over Tamil Nadu had never exceeded the prescribed value (0.075ppm). The results of this study show that ground level Ozone concentration has a positive correlation with the temperature and negative correlation with the relative humidity and wind speed.Keywords
Surface Ozone, Diurnal Cycle, Meteorological Parameters, Anthropogenic Sources, VOCs, NoxFull Text
References
- Debaje SB, Johnson Jeyakumar S, Ganesan K, Jadhav DB and Seetaramayya P (2003) Surface Ozone measurements at tropical rural coastal station Tranquebar, India. Atmos. Environ. 37(35), 4911- 4916.
- Dovile Laurinavicine (2009) Ground level air pollution in Vinius City. Environ.Res. Engg. & Manage. 3(49), 21-28.
- Elambari K, Chidambarathanu T and Krishna R Sharma (2010) Examining the variations of ground level Ozone and nitrogen dioxide in a rural area in influenced by brick kiln industries. Indian J. Sci. Technol. 3(8), 900-903.
- Elampari K, Chitambarathanu T and Krishnasharma R (2010) Surface one variability in the southern most semi-Urban area, Nagercoil, India. Recent Adv. in space Technol. Ser. & Climate change. (RSTSCC), Issue13, 15 Nov, Pages 45-49.
- Jeannie Allen (2002) The Ozone we breathe, Earth observatory. EOS project sci. office. NASA.
- Londhe AL, Jadhav DB, Buchunde PS and MJ Karatha (2008) Surface Ozone variability in the urban and nearby rural locations of tropical India. Curr. Sci. 95, 12-25.
- Pulikesi M, Basjaralingam P, Elango D, Rayudu VN, Ramurthi V and S Sivanesan (2006) Air quality monitoring in Chennai India in the Summer of 2005. J. Hazardous Materials. 136(3), 589-596.
- Pulikesi M, Rayudu VN, Ramurthi V and Sivanesan S (2009) Weekend? Weekday differences in nearsurface Ozone concentration in Chennai. Int. J. Environ. & Waste Manage. 4, 213-224.
- Samuel J Oltmans and Hiram Levy II (1994) Surface Ozone measurement from a global network. Atmosp. Environ. 28(1), 9-24.
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- Wang T, wu YY, Cheung TF and Lam KS (2001) A study of surface Ozone and the relation to complex wind flow in Hong Kong. Atmosp. Environ. 35(18), 3203-3215.
- Ground Level Ozone Prediction by Adaptive Neuro Fuzzy Inference System.
Abstract Views :628 |
PDF Views:0
Authors
Affiliations
1 Department of Physics, R.L. Institute of Nautical Sciences, Madurai.
2 Department of Physics, Sir Thegaraya College, Chennai., IN
3 Department of Physics, Presidency College, Chennai., IN
1 Department of Physics, R.L. Institute of Nautical Sciences, Madurai.
2 Department of Physics, Sir Thegaraya College, Chennai., IN
3 Department of Physics, Presidency College, Chennai., IN
Source
Indian Journal of Physics and Applications, Vol 1, No 1 (2013), Pagination: 1-10Abstract
Ground-level ozone is a dangerous pollutant for which the prediction of the concentration could be of great importance. The objective of this paper is to describe research on the development of a simplified version of the ozone model using Adaptive Neuro Fuzzy Inference System (ANFIS) rule generation methodology. The model is used to predict the ground level ozone concentration. The inference techniques are generated using the ANFIS method of the Matlab's Fuzzy Logic Toolbox.Keywords
Ground-level Ozone, Fuzzy Models, Anfis
References
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- Tropical Cyclones as a Possible Factor Affecting Seismic Activity
Abstract Views :184 |
PDF Views:0
Authors
Affiliations
1 Bharathi Women’s College, Chennai,, IN
2 Presidency College, Chennai,, IN
1 Bharathi Women’s College, Chennai,, IN
2 Presidency College, Chennai,, IN
Source
International Journal of Environmental Engineering and Management, Vol 3, No 2 (2012), Pagination: 69-71Abstract
The threatening natural disasters such as the most powerful earthquakes and tropical cyclones bringing the colossal human and environmental losses seems to be coupled geophysical phenomena in their origin. The widespread anomalies in deformations (tilts and strains) of the solid earth which are usually preceding to the strongest earthquakes, and which are observed by many authors everywhere in experiments, have a great analogy with barometric forerunners of such extreme Atmospheric events such as storms, typhoons, hurricanes etc., . As a model the research focuses on analysis at the global level using 37 years of historical data on geomagnetic storms and earthquakes collated from national and international resources. As the result of statistical analysis using spearman rank correlation technique the rank correlation coefficient was found to be 0.65.References
- Tropical cyclones as a possible factor affecting seismic activity in the cyclonic zone of the north western pacific M.I. Yarosherich Earth and environmental science Vol 47, Number 7, 636 – 640.
- Power Law distribution of Tornadoes and cyclones and relation to Gutenbery Richter law of earth quakes. Lisa schielicke and peter Nevir. Institute for meterology, Frcie university Berlin.
- Vinnik 1971, ostrovslait and Rykunor 1982, Tabul evich 1986, Monakhar 1956 Bowen et al 2003 and many others
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- Forecasting Daily Maximum Temperature of Chennai using Nonlinear Prediction Approach
Abstract Views :248 |
PDF Views:0
Authors
Affiliations
1 The Research and Development Centre, Bharathiar University, Coimbatore - 641046, Tamil Nadu, IN
2 Postgraduate Research Department, The American College, Madurai - 625002, Tamil Nadu, IN
3 Department of physics, Presidency College, Chennai - 600005, Tamil Nadu, IN
1 The Research and Development Centre, Bharathiar University, Coimbatore - 641046, Tamil Nadu, IN
2 Postgraduate Research Department, The American College, Madurai - 625002, Tamil Nadu, IN
3 Department of physics, Presidency College, Chennai - 600005, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 39 (2016), Pagination:Abstract
In recent years numerous research were made to are expecting the weather especially the most temperature of a location. The urban regions are the maximum vulnerable regions which can be tormented by the increase in the temperature. The prevailing paper is geared toward quantifying the trade inside the surface air temperature at the most populated metropolitan town Chennai. The town has experienced rapid urbanization in the latest beyond. The principle objective of the paper is to broaden a forecast model for max temperature of the metropolis. The nonlinear nature of the temperature time series is analysed the usage of the lyapunov exponent. The effects of lyapunov exponent shows that there is chaos present inside the time collection facts. This gives a terrific foundation for the choosing reasonable forecasting version along with the segment area reconstruction strategies proposed via farmer forecast the temperature all through the summer season months.Keywords
Chaos, Lyapunov Exponent, Phase Space Reconstruction.Full Text
- Stochastic Modeling of Daily Rainfall at Aduthurai
Abstract Views :157 |
PDF Views:0
Authors
Affiliations
1 Presidency College, Department of Physics, Chennai, IN
2 Dhanalakshmi Srinivasan College of Engineering and Technology, Mamallapuram, Chennai, IN
1 Presidency College, Department of Physics, Chennai, IN
2 Dhanalakshmi Srinivasan College of Engineering and Technology, Mamallapuram, Chennai, IN
Source
Research Journal of Science and Technology, Vol 3, No 2 (2011), Pagination: 80-84Abstract
An application of stochastic process for describing and analysing the daily rainfall pattern at Aduthurai is presented. A model based on the first-order Markov chain was developed. The model used in this study consists of rainfall occurrence model and rainfall magnitude model. Results of the study suggests that first order Markov chaining with two parameters gamma distributions were found to be adequate to generate daily rainfall sequences at Aduthurai.Keywords
Daily Rainfall, First Order Markov Chain, Rainfall Occurrence Model, Rainfall Magnitude Model.- Possibility of Predicting Solar Activity Using Fractal Analysis
Abstract Views :176 |
PDF Views:0
Authors
Affiliations
1 Department of Physics, Presidency College, Chennai, IN
2 Department of Physics, Dhanalakshmi Srinivasan College of Engineering and Technology, Chennai, IN
1 Department of Physics, Presidency College, Chennai, IN
2 Department of Physics, Dhanalakshmi Srinivasan College of Engineering and Technology, Chennai, IN
Source
Research Journal of Science and Technology, Vol 3, No 1 (2011), Pagination: 26-28Abstract
The study of solar activity and solar terrestrial relations, the sunspot number has always been taken as the main indicator of the intensity of solar activity. Various new techniques like neural networks, learning nonlinear dynamics and others are used by researchers to predict solar activity. But we are yet to obtain reasonably good results. This is mainly because the reason of the variation of solar activity is still unknown. Hence it is important to analyze the characteristics of the data. This paper considers sunspot as the index of solar activity and fractal analysis is used to examine the predictability of solar activity. For the period 1994 to 2008, the average fractal dimension for periods of 10 days or less was about 1.49. But during the same period, the average fractal dimension was 1.92 for periods longer than 10 days. Hence the result is encouraging for short-term prediction (i.e.) within about 10 days, but discouraging for medium-term prediction ( longer than 10 days ).Keywords
Solar Activity, Neural Networks, Nonlinear Dynamics, Fractal Analysis, Fractal Dimension.- A Study on Influence of A Index and Southwest Monsoon Over Northeast Monsoon Using Back Propagation Neural Network
Abstract Views :161 |
PDF Views:1
Authors
Affiliations
1 Department of Physics, Presidency College, Chennai, IN
2 Dept. of Physics, Dhanalakshmi Srinivasan College of Engineering and Technology, Mamallapuram,, IN
1 Department of Physics, Presidency College, Chennai, IN
2 Dept. of Physics, Dhanalakshmi Srinivasan College of Engineering and Technology, Mamallapuram,, IN