MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA

Episodic trans-boundary haze events had happens caused higher particulate matter (PM10) concentration in Malaysia's atmosphere. The high concentration of PM10 had exceeded the New Malaysia Ambient Air Quality Standard (NMAAQS) and caused a higher Air Pollutant Index (API) reading. Hence, thi...

Full description

Saved in:

Bibliographic Details
Main Author:	NUR NAZMI LIYANA MOHD NAPI
Format:	Thesis
Language:	English
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/15729/1/ABSTRACT.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/15729/2/FULL%20THESIS-%20NUR%20NAZMI%20LIYANA%20MOHD%20NAPI.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-umt-ir.-15729
record_format	uketd_dc
spelling	my-umt-ir.-157292022-01-17T08:32:55Z MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA NUR NAZMI LIYANA MOHD NAPI Episodic trans-boundary haze events had happens caused higher particulate matter (PM10) concentration in Malaysia's atmosphere. The high concentration of PM10 had exceeded the New Malaysia Ambient Air Quality Standard (NMAAQS) and caused a higher Air Pollutant Index (API) reading. Hence, this situation prompts an adverse impact on human health and also the country's economic sector. All the meteorological factors (ambient temperature, relative humidity, and wind speed) data and other gaseous pollutants (carbon monoxide, sulphur dioxide, nitrogen oxide, nitrogen dioxide, and ozone) that involved in this study were acquired from the Department of Environment Malaysia from the year 2005 until 2014 based on the haze chronology information. Thus, the correlation among the influenced factors led to multicollinearity problems, especially in model development. The aim of this study is to develop Multiple Linear Regression (MLR) and Principal Component Regression (PCR) models. The multicollinearity problem has occurred among the independent variables, and the Principal Component Analysis (PCA) has been introducing in the PCR model. UNIVERSITI MALAYSIA TERENGGANU 2021-04 Thesis en http://umt-ir.umt.edu.my:8080/handle/123456789/15729 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/15729/1/ABSTRACT.pdf 80a7b17be4792abb06a9fa0ff3b705fc http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/15729/2/FULL%20THESIS-%20NUR%20NAZMI%20LIYANA%20MOHD%20NAPI.pdf 8db14a598a07764ed5572abde0130d91 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/15729/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
description	Episodic trans-boundary haze events had happens caused higher particulate matter (PM10) concentration in Malaysia's atmosphere. The high concentration of PM10 had exceeded the New Malaysia Ambient Air Quality Standard (NMAAQS) and caused a higher Air Pollutant Index (API) reading. Hence, this situation prompts an adverse impact on human health and also the country's economic sector. All the meteorological factors (ambient temperature, relative humidity, and wind speed) data and other gaseous pollutants (carbon monoxide, sulphur dioxide, nitrogen oxide, nitrogen dioxide, and ozone) that involved in this study were acquired from the Department of Environment Malaysia from the year 2005 until 2014 based on the haze chronology information. Thus, the correlation among the influenced factors led to multicollinearity problems, especially in model development. The aim of this study is to develop Multiple Linear Regression (MLR) and Principal Component Regression (PCR) models. The multicollinearity problem has occurred among the independent variables, and the Principal Component Analysis (PCA) has been introducing in the PCR model.
format	Thesis
author	NUR NAZMI LIYANA MOHD NAPI
spellingShingle	NUR NAZMI LIYANA MOHD NAPI MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA
author_facet	NUR NAZMI LIYANA MOHD NAPI
author_sort	NUR NAZMI LIYANA MOHD NAPI
title	MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA
title_short	MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA
title_full	MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA
title_fullStr	MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA
title_full_unstemmed	MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA
title_sort	multivariate statistical analysis for next hour pm10 concentration forecasting during episodic trans-boundary haze events in malaysia
granting_institution	UNIVERSITI MALAYSIA TERENGGANU
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/15729/1/ABSTRACT.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/15729/2/FULL%20THESIS-%20NUR%20NAZMI%20LIYANA%20MOHD%20NAPI.pdf
_version_	1747835773070082048

MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA

Similar Items