A review on nitrogen and organics removal mechanisms in subsurface flow constructed wetlands: dependency on environmental parameters, operating conditions and supporting media.

Cadmium toxicity in plants: Impacts and remediation strategies.

Soil Genesis and Classification

Application of GIS based data driven evidential belief function model to predict groundwater potential zonation

Application of constructed wetlands for wastewater treatment in developing countries--a review of recent developments (2000-2013).

This study investigates the spatial water quality pattern of seven stations located along the main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster analysis (HACA), the discriminant analysis (DA), the principal component analysis (PCA), and the factor analysis (FA), were used to study the spatial variations of the most significant water quality variables and to determine the origin of pollution sources. Twenty-three water quality parameters were initially selected and analyzed. Three spatial clusters were formed based on HACA. These clusters are designated as downstream of Langat river, middle stream of Langat river, and upstream of Langat River regions. Forward and backward stepwise DA managed to discriminate six and seven water quality variables, respectively, from the original 23 variables. PCA and FA (varimax functionality) were used to investigate the origin of each water quality variable due to land use activities based on the three clustered regions. Seven principal components (PCs) were obtained with 81% total variation for the high-pollution source (HPS) region, while six PCs with 71% and 79% total variances were obtained for the moderate-pollution source (MPS) and low-pollution source (LPS) regions, respectively. The pollution sources for the HPS and MPS are of anthropogenic sources (industrial, municipal waste, and agricultural runoff). For the LPS region, the domestic and agricultural runoffs are the main sources of pollution. From this study, we can conclude that the application of environmetric methods can reveal meaningful information on the spatial variability of a large and complex river water quality data.

/pdf/spatial-water-quality-assessment-of-langat-river-basin-1st8apys04.pdf

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

Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors.

Nutrient removal in a pilot and full scale constructed wetland, Putrajaya city, Malaysia.

This paper presents an overview of the use of lineaments in landslide hazard mapping. The lineaments are normally derived either from aerial photographs or satellite imagery. The relative advantages and disadvantages of digital image processing and manual (visual) lineament interpretation are discussed. Most researchers prefer the manual technique, despite the fact it is more time-consuming and subjective, as it allows a higher degree of operator control. Ways of increasing objectivity in the interpretation are suggested. It is hoped that lineament mapping will increasingly be incorporated in landslide hazard assessment hence the paper emphasizes the need for care and a proper understanding of these methods and their limitations.

/pdf/lineament-mapping-and-its-application-in-landslide-hazard-zr3ssf6s56.pdf

Mohd Kamil Yusoff

Papers

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

Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors.

Nutrient removal in a pilot and full scale constructed wetland, Putrajaya city, Malaysia.

Lineament mapping and its application in landslide hazard assessment: a review

Characterization of spatial patterns in river water quality using chemometric pattern recognition techniques.