Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration

______________________________________________________________ The rapid development along with increased population and transportation usage has deteriorated air quality status in Malaysia. The purpose of this research is to predict and modelling the casual relationship between circular and line...

Full description

Saved in:

Bibliographic Details
Main Author:	Zinol, Noorain
Format:	Thesis
Language:	English
Published:	2017
Subjects:	T Technology
Online Access:	http://eprints.usm.my/46469/1/Circular%20Statistical%20Analysis%20Of%20Wind%20Direction%20And%20Wind%20Speed%20On%20Ozone%20Concentration.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.46469
record_format	uketd_dc
spelling	my-usm-ep.464692021-11-17T03:42:15Z Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration 2017-08-01 Zinol, Noorain T Technology TA1-2040 Engineering (General). Civil engineering (General) ______________________________________________________________ The rapid development along with increased population and transportation usage has deteriorated air quality status in Malaysia. The purpose of this research is to predict and modelling the casual relationship between circular and linear variables using probability density functions and regression analysis. The observations were made at Shah Alam, Prai, Pasir Gudang and Jerantut station over ten years period from 2004 until 2013 respectively. Mean values for O3 concentrations at all locations did not exceed MAAQG level limit. Circular density and wind rose plot were used to describe the characteristics of wind direction including mean direction, mean resultant length and concentration. This study suggested the presence of prominent wind that were blowing from north and south direction of Peninsular Malaysia due to southwest monsoon and northeast monsoon. Four distributions function were fitted to the wind direction data and it was found that wrapped Cauchy fit the data very well based on mean chord length. The analysis was further conducted with circular-linear correlation, circular-linear regression and multi linear regression model. Most of positive correlations were found between wind direction and O3 concentration in all stations during daytime and nightime. From the circular – linear regression, O3 concentration were predicted from wind direction and the results showed that few values in Shah Alam station exceeded the permissible limit by MAAQG (0.06 ppm). Prediction model were continued with multi linear regression by including the sine and cosine of wind direction as independent variables as well as wind speed variable. It was found that nighttime models provide better accuracy than daytime. 2017-08 Thesis http://eprints.usm.my/46469/ http://eprints.usm.my/46469/1/Circular%20Statistical%20Analysis%20Of%20Wind%20Direction%20And%20Wind%20Speed%20On%20Ozone%20Concentration.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Awam
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T Technology T Technology
spellingShingle	T Technology T Technology Zinol, Noorain Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration
description	______________________________________________________________ The rapid development along with increased population and transportation usage has deteriorated air quality status in Malaysia. The purpose of this research is to predict and modelling the casual relationship between circular and linear variables using probability density functions and regression analysis. The observations were made at Shah Alam, Prai, Pasir Gudang and Jerantut station over ten years period from 2004 until 2013 respectively. Mean values for O3 concentrations at all locations did not exceed MAAQG level limit. Circular density and wind rose plot were used to describe the characteristics of wind direction including mean direction, mean resultant length and concentration. This study suggested the presence of prominent wind that were blowing from north and south direction of Peninsular Malaysia due to southwest monsoon and northeast monsoon. Four distributions function were fitted to the wind direction data and it was found that wrapped Cauchy fit the data very well based on mean chord length. The analysis was further conducted with circular-linear correlation, circular-linear regression and multi linear regression model. Most of positive correlations were found between wind direction and O3 concentration in all stations during daytime and nightime. From the circular – linear regression, O3 concentration were predicted from wind direction and the results showed that few values in Shah Alam station exceeded the permissible limit by MAAQG (0.06 ppm). Prediction model were continued with multi linear regression by including the sine and cosine of wind direction as independent variables as well as wind speed variable. It was found that nighttime models provide better accuracy than daytime.
format	Thesis
qualification_level	Master's degree
author	Zinol, Noorain
author_facet	Zinol, Noorain
author_sort	Zinol, Noorain
title	Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration
title_short	Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration
title_full	Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration
title_fullStr	Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration
title_full_unstemmed	Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration
title_sort	circular statistical analysis of wind direction and wind speed on ozone concentration
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Awam
publishDate	2017
url	http://eprints.usm.my/46469/1/Circular%20Statistical%20Analysis%20Of%20Wind%20Direction%20And%20Wind%20Speed%20On%20Ozone%20Concentration.pdf
_version_	1747821678107295744

Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration

Similar Items