DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION INDEX BASED ON MARKOV CHAIN METHOD
Most metropolitan cities and towns in Malaysia are experiencing elevated ground level air pollutants concentration as it had a linked to rapid industrialization and the development of economy. It has become a crucial concerns as it had wide ranging impact from the aspect of public health to national...
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my-utp-utpedia.205272021-08-30T16:29:46Z http://utpedia.utp.edu.my/20527/ DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION INDEX BASED ON MARKOV CHAIN METHOD ZAKARIA, NURUL NNADIAH Q Science (General) Most metropolitan cities and towns in Malaysia are experiencing elevated ground level air pollutants concentration as it had a linked to rapid industrialization and the development of economy. It has become a crucial concerns as it had wide ranging impact from the aspect of public health to national economics. Therefore, it is urgent to forecast and evaluate the air pollutants concentrations for health agencies and local environmental. Due to this issue, this study proposes a forecasting tool to predict the air quality with Markov chain model. The proposed method introduces the Markov chain as an operator to evaluate the distribution of the pollution level in the long term. Markov chain is commonly used in stock market analysis, manpower planning and in many other areas because of its efficiency in prediction for the long run behavior. 2020-09 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20527/1/Nurul%20Nnadiah%20Zakaria_17008262.pdf ZAKARIA, NURUL NNADIAH (2020) DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION INDEX BASED ON MARKOV CHAIN METHOD. Masters thesis, Universiti Teknologi PETRONAS. |
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Q Science (General) ZAKARIA, NURUL NNADIAH DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION INDEX BASED ON MARKOV CHAIN METHOD |
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Most metropolitan cities and towns in Malaysia are experiencing elevated ground level air pollutants concentration as it had a linked to rapid industrialization and the development of economy. It has become a crucial concerns as it had wide ranging impact from the aspect of public health to national economics. Therefore, it is urgent to forecast and evaluate the air pollutants concentrations for health agencies and local
environmental. Due to this issue, this study proposes a forecasting tool to predict the air quality with Markov chain model. The proposed method introduces the Markov
chain as an operator to evaluate the distribution of the pollution level in the long term. Markov chain is commonly used in stock market analysis, manpower planning and in many other areas because of its efficiency in prediction for the long run behavior. |
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Thesis |
author |
ZAKARIA, NURUL NNADIAH |
author_facet |
ZAKARIA, NURUL NNADIAH |
author_sort |
ZAKARIA, NURUL NNADIAH |
title |
DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION
INDEX BASED ON MARKOV CHAIN METHOD |
title_short |
DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION
INDEX BASED ON MARKOV CHAIN METHOD |
title_full |
DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION
INDEX BASED ON MARKOV CHAIN METHOD |
title_fullStr |
DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION
INDEX BASED ON MARKOV CHAIN METHOD |
title_full_unstemmed |
DISSERTATION TITLE: A FORECASTING MODEL OF AIR POLLUTION
INDEX BASED ON MARKOV CHAIN METHOD |
title_sort |
dissertation title: a forecasting model of air pollution
index based on markov chain method |
publishDate |
2020 |
url |
http://utpedia.utp.edu.my/20527/1/Nurul%20Nnadiah%20Zakaria_17008262.pdf http://utpedia.utp.edu.my/20527/ |
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1739832764669100032 |
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13.18916 |