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Journal ArticleDOI

The potential impacts of anthropogenic and climate changes factors on surface water ecosystem deterioration at Kenyir Lake, Malaysia

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TLDR
In this paper, the water quality status as stated in NWQS is categorized as Class I on dry season and Class II on wet sea-son, the major pollutants in Kenyir Lake are Total Suspended Solids (TSS), Chemical Oxygen Demand (COD), Dissolve Oxygen and pH which are contributed largely by untreated or partially treated sewage from tourism development and construction activities around the basin.
Abstract
Water ecosystem deterioration can be affected by various factors of either natural environment or physical changes in the river basin. Data observation were made during dry season (April 2017) and wet season (December 2017). 21 sampling stations were selected along Kenyir Lake Basin. Overall, the water quality status as stated in NWQS is categorized as Class I on dry season and Class II on wet sea-son. The major pollutants in Kenyir Lake are Total Suspended Solids (TSS), Chemical Oxygen Demand (COD), Dissolve Oxygen and pH which are contributed largely by untreated or partially treated sewage from tourism development and construction activities around the basin. The sedimentation problem level in the Kenyir Lake Basin is not in critically stage but the flow rate of water and land use ac-tivities (development around basin) will be contributed to the increasing levels of sedimentation. The good site management such as the implementation of proper site practice measures to control and treat run-off prior to discharge will ensure that the construction works will not affect the quality and quantity of the receiving waters or have significant impact upon the receiving waters.

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Journal ArticleDOI

Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

TL;DR: In this article, a comparative study was conducted focusing on developing and comparing several Machine Learning (ML) models, evaluating different scenarios and time horizon, and forecasting rainfall using two types of methods.
Journal ArticleDOI

Sedimentation and water quality deterioration problems at Terengganu River Basin, Terengganu, Malaysia

TL;DR: In this paper, a study was implemented to prove the sedimentation problem especially the formation of total suspended solid (TSS) and annual sediment load (SL) and the technique of analysis of primary data obtained which determine according with the procedure TSS and SL.
Journal ArticleDOI

Assessments of lake profiling on temperature, Total Suspended Solid (TSS) and turbidity in the Kenyir Lake, Terengganu, Malaysia

TL;DR: In this paper, a study archived data from the Kenyir Lake using spatial interpolation of inverse distance weighting (IDW), which incorporates output from a process-based regression model.
Journal ArticleDOI

Evolution of river geomorphology to water quality impact using remote sensing and GIS technique.

TL;DR: In this paper, the authors focused on the processes of the river plan change using geographic information system (GIS), remote sensing, and water quality analysis using water quality index (WQI) parameters.
Journal ArticleDOI

Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

TL;DR: In this article, the authors reviewed the previous studies of the spatiotemporal LULC changes from 2011 to 2017 and found that these articles have overall accuracy assessment ranges from 75% to 95% validations.
References
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Journal ArticleDOI

Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques.

TL;DR: It is concluded that the application of environmetric methods can reveal meaningful information on the spatial variability of a large and complex river water quality data.
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Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors.

TL;DR: The modeling efforts showed that the optimal network architecture was 23-34-1 and that the best WQI predictions were associated with the quick propagation (QP) training algorithm; a learning rate of 0.06; and a QP coefficient of 1.75.
Journal ArticleDOI

Urbanization, land use, and water quality in Shanghai 1947-1996

TL;DR: The results reveal that rapid urbanization corresponds with rapid degradation of water quality and that urban land uses are positively correlated with the decline in water quality.
Journal ArticleDOI

Water quality assessment of Ogun river, South West Nigeria

TL;DR: Pollution of Ogun river water along its course is evidenced by the high concentrations of pollution indicators, nutrients and trace metals above the acceptable limit, which poses a health risk to several rural communities who rely on the river primarily as their source of domestic water.
Journal ArticleDOI

Water Quality Assessment of the Semenyih River, Selangor, Malaysia

TL;DR: In this article, the Semenyih River water quality was determined based on physicochemical and biological parameters, and the results showed that the river was slightly polluted with NH3-N, TSS, COD, and NO3, whereas it is extremely contaminated with PO4 and FC.
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