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: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024
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| Subjects: | |
| 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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| Summary: | 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 |
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