Clostridium perfringens (CP) and sulphite reducing clostridia (SRC) densities in the Selangor River, Bernam River and Tengi River Canal were examined between April 2007 and January 2008. Water samples were taken from two or three locations along each river, using either depth-integration or grab sampling methods. The downstream sampling site of the Selangor River, Rantau Panjang, reported the h...

In Malaysia, rivers are the main source of public water supplies. This study was conducted from 2002 to 2003 to determine the levels of selected organochlorine and organophosphate pesticides in the Selangor River in Malaysia. Surface water samples have been collected seasonally from nine sites along the river. A liquid-liquid extraction followed by gas chromatography-mass spectrometry technique...

Abstract. Tidal data has been used to determine long-term water level alterations. Tides are high-powered and notoriously hard ascertain. analysis prediction need substantial study with the requisite approaches, techniques, tools in conjunction weather parameters natural calamities. TOtal TIde Solution (TOTIS) software, which is rooted harmonic analysis, one of most often software Malaysia. Thi...

This is the authors’ draft manuscript. Please cite the manuscript as Leong, K. H., Benjamin, T. L. L., Mustafa, M. A. (2007) Contamination levels of selected organochlorine and organophosphate pesticides in the Selangor river, Malaysia between 2002 to 2003. Chemosphere. 66: 11531159. The full version of the paper is available at the publisher’s website through the following link: http://www.sci...

Successful river flow forecasting is a major goal and an essential procedure that is necessary in water resource planning and management. There are many forecasting techniques used for river flow forecasting. This study proposed a hybrid model based on a combination of two methods: Self Organizing Map (SOM) and Least Squares Support Vector Machine (LSSVM) model, referred to as the SOM-LSSVM mod...

This case study uses several univariate and multivariate statistical techniques to evaluate and interpret a water quality data set obtained from the Klang River basin located within the state of Selangor and the Federal Territory of Kuala Lumpur, Malaysia. The river drains an area of 1,288 km(2), from the steep mountain rainforests of the main Central Range along Peninsular Malaysia to the rive...

Radial Basis Probabilistic Neural Network (RBPNN) demonstrates broader and much more generalized capabilities which have been successfully applied to different fields. In this paper, the RBPNN is extended by calculating the Euclidean distance of each data point based on a kernel-induced distance instead of the conventional sum-of squares distance. The kernel function is a generalization of the ...

A. R. Sarmani Wireless and Photonics Network Research Center, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia R. Zamiri Department of Physics, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia M. H. Abu Bakar Wireless and Photonics Network Research Center, Faculty of Engineering, University Putra Malaysia, 43400 UPM Ser...