2018
DOI: 10.37134/ejsmt.vol5.1.5.2018
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Spatial Assessment of Water Quality Patterns using Environmetric Techniques: A Case Study in Muda River Basin (Malaysia)

Abstract: River pollution impact human health, environment and the sustainable development. This study was conducted to identify spatial patterns and the main parameters affecting the water pollution within nine monitoring stations in the Muda River basin (Malaysia) over a 16-year database (1998-2013). Environmetric techniques were applied to the dataset. These combined Cluster Analysis, Discriminant Analysis, and Multiple Linear Regression. The Cluster Analysis showed that the monitoring stations divided into two separ… Show more

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Cited by 4 publications
(8 citation statements)
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“…The result is in line with previous findings which suggested that the percentage of agriculture at the watershed scale is the primary predictor of nitrogen [10,11] whereas, lower levels of NH3-N and NO3-N were associated with the forest areas [28]. The use of fertilizers in agriculture activities contributes to the increase of NO3-N in the MRB agricultural land use areas [40]. While, analysis of the effect of forest area on Ca in stream water uncovered that there is a positive and low in strength association between forests and Ca within the 2000 m buffer width (0.10 <R 2 < 0.17, p< 0.05).…”
Section: Relationships Between Water Quality Variables and Land Usessupporting
confidence: 91%
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“…The result is in line with previous findings which suggested that the percentage of agriculture at the watershed scale is the primary predictor of nitrogen [10,11] whereas, lower levels of NH3-N and NO3-N were associated with the forest areas [28]. The use of fertilizers in agriculture activities contributes to the increase of NO3-N in the MRB agricultural land use areas [40]. While, analysis of the effect of forest area on Ca in stream water uncovered that there is a positive and low in strength association between forests and Ca within the 2000 m buffer width (0.10 <R 2 < 0.17, p< 0.05).…”
Section: Relationships Between Water Quality Variables and Land Usessupporting
confidence: 91%
“…While, analysis of the effect of forest area on Ca in stream water uncovered that there is a positive and low in strength association between forests and Ca within the 2000 m buffer width (0.10 <R 2 < 0.17, p< 0.05). The presence of Ca in the river water in MRB is a result of the natural carbonate dissolution process from the limestone hills near the forest area [40]. The watersheds with natural forests are almost always characterized by better water quality [22,23,24] due to an extensive root network and an excellent ability to generate porously and filtering soils [45,46].…”
Section: Relationships Between Water Quality Variables and Land Usesmentioning
confidence: 99%
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