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Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia

The land use/land cover pattern of a region is an outcome of natural and socioeconomic factors and the utilisation by humans in time and space. This study aims to model the marine water quality using the relative impact of land use on marine water quality of selected river estuary between 2006-2013,...

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Main Authors:	Samsudin, Mohd Saiful, Azid, Azman, Zaudi, Muhammad Amar, Adam, Mohd Ridhwan, Abdullah Sani, Muhamad Shirwan, Saharuddin, Shazlyn Millenana, Ibrahim, Aminu, Mohd Nasir, Mohd Fahmi, Tan, Mou Leong, Mohd Ali, Nurul Izzati
Format:	Article
Language:	English
Published:	Springer Nature 2024
Subjects:	QD Chemistry
Online Access:	http://irep.iium.edu.my/112827/3/112827_Analyzing%20agricultural%20land%20use%20with%20cellular%20automata.pdf http://irep.iium.edu.my/112827/ https://link.springer.com/article/10.1007/s11270-024-07277-0
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id	my.iium.irep.112827
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spelling	my.iium.irep.1128272024-07-02T01:16:08Z http://irep.iium.edu.my/112827/ Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia Samsudin, Mohd Saiful Azid, Azman Zaudi, Muhammad Amar Adam, Mohd Ridhwan Abdullah Sani, Muhamad Shirwan Saharuddin, Shazlyn Millenana Ibrahim, Aminu Mohd Nasir, Mohd Fahmi Tan, Mou Leong Mohd Ali, Nurul Izzati QD Chemistry The land use/land cover pattern of a region is an outcome of natural and socioeconomic factors and the utilisation by humans in time and space. This study aims to model the marine water quality using the relative impact of land use on marine water quality of selected river estuary between 2006-2013, Geographical Information System (GIS) and Cellular Automata (CA)-Markov method as a planning tool in evaluating Marine Water Quality Index (MWQI) were applied. The CA-Markov model revealed agricultural land use changes from 2006-2013 using land use land cover (LULC) in GIS as Setiu and Semerak River basins have 5.72% and 2.75%, respectively. The result indicated the impact of agricultural lands on MWQI, which is very low, according to projections of land use in 2020. Thus, the MWQI value in 2020 (Setiu 76.27 and Semerak 67.64) will be higher than MWQI mean value for 2006-2013 Springer Nature 2024-06-28 Article PeerReviewed application/pdf en http://irep.iium.edu.my/112827/3/112827_Analyzing%20agricultural%20land%20use%20with%20cellular%20automata.pdf Samsudin, Mohd Saiful and Azid, Azman and Zaudi, Muhammad Amar and Adam, Mohd Ridhwan and Abdullah Sani, Muhamad Shirwan and Saharuddin, Shazlyn Millenana and Ibrahim, Aminu and Mohd Nasir, Mohd Fahmi and Tan, Mou Leong and Mohd Ali, Nurul Izzati (2024) Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia. Water, Air, & Soil Pollution, 235. pp. 1-20. ISSN 0049-6979 E-ISSN 1573-2932 https://link.springer.com/article/10.1007/s11270-024-07277-0
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English
topic	QD Chemistry
spellingShingle	QD Chemistry Samsudin, Mohd Saiful Azid, Azman Zaudi, Muhammad Amar Adam, Mohd Ridhwan Abdullah Sani, Muhamad Shirwan Saharuddin, Shazlyn Millenana Ibrahim, Aminu Mohd Nasir, Mohd Fahmi Tan, Mou Leong Mohd Ali, Nurul Izzati Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia
description	The land use/land cover pattern of a region is an outcome of natural and socioeconomic factors and the utilisation by humans in time and space. This study aims to model the marine water quality using the relative impact of land use on marine water quality of selected river estuary between 2006-2013, Geographical Information System (GIS) and Cellular Automata (CA)-Markov method as a planning tool in evaluating Marine Water Quality Index (MWQI) were applied. The CA-Markov model revealed agricultural land use changes from 2006-2013 using land use land cover (LULC) in GIS as Setiu and Semerak River basins have 5.72% and 2.75%, respectively. The result indicated the impact of agricultural lands on MWQI, which is very low, according to projections of land use in 2020. Thus, the MWQI value in 2020 (Setiu 76.27 and Semerak 67.64) will be higher than MWQI mean value for 2006-2013
format	Article
author	Samsudin, Mohd Saiful Azid, Azman Zaudi, Muhammad Amar Adam, Mohd Ridhwan Abdullah Sani, Muhamad Shirwan Saharuddin, Shazlyn Millenana Ibrahim, Aminu Mohd Nasir, Mohd Fahmi Tan, Mou Leong Mohd Ali, Nurul Izzati
author_facet	Samsudin, Mohd Saiful Azid, Azman Zaudi, Muhammad Amar Adam, Mohd Ridhwan Abdullah Sani, Muhamad Shirwan Saharuddin, Shazlyn Millenana Ibrahim, Aminu Mohd Nasir, Mohd Fahmi Tan, Mou Leong Mohd Ali, Nurul Izzati
author_sort	Samsudin, Mohd Saiful
title	Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia
title_short	Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia
title_full	Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia
title_fullStr	Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia
title_full_unstemmed	Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia
title_sort	analyzing agricultural land use with cellular automata ‑ marcov and forecasting future marine water quality index: a case study in east coast peninsular malaysia
publisher	Springer Nature
publishDate	2024
url	http://irep.iium.edu.my/112827/3/112827_Analyzing%20agricultural%20land%20use%20with%20cellular%20automata.pdf http://irep.iium.edu.my/112827/ https://link.springer.com/article/10.1007/s11270-024-07277-0
_version_	1804063184078766080
score	13.211869

Analyzing agricultural land use with cellular automata ‑ MARCOV and forecasting future marine water quality index: a case study in east coast peninsular Malaysia

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