Surface water quality deterioration is the impact of anthropogenic activities at the study areas due to rapid industrialization. The study was done to know the spatial variation of the water quality of the Tunggak River and surrounding area because of industrial activities. In-situ parameters and ex-situ data of chemical, bio-chemical parameters and heavy metals were collected monthly to fulfill the objectives. The samples were collected from 10 selected stations and analyses were carried out using standard methods. Heavy metals were determined by using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). SPSS statistical software was used for data analysis. The results of the study revealed that industrial effluents were the major source of pollutants and caused of spatial variation among the stations. Less amount of Dissolved Oxygen (DO) and higher concentration of Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), ammoniacal-nitrogen and heavy metals made the water un-usable except irrigation. Analyzed surface water was classified based on Department of Environment-Water Quality Index (DOE-WQI) Malaysia and found that the maximum stations except lower and uppermost were in class IV (highly polluted). Pollution rate was higher in the middle stations due to large number of industries were located in the middle and they discharged all their effluents in the river stream. Due to tidal interference in the lower stream and minimum industry in the upper stream pollution was less in those stations

In Malaysia, Building Information Modelling (BIM) has recently gained attraction from construction players and some of them have applied it to several projects. By utilising the BIM process, the construction players have the opportunity to plan, coordinate and design in an integrated approach. This is one of the many benefits that they could gain and resulting in increased productivity. Despite these benefits, the implementation of BIM in the Malaysian construction industry is still lagging behind Singapore, for instance. Thus, it warrants a study such as the present to determine what are the actual barriers that hamper its implementation and what are the driving factors that could enhance its pace of implementation in the Malaysian construction industry. In this study, a questionnaire survey based on Convenience Sampling Method was carried out to gather the possible barriers and driving factors for BIM implementation among the Malaysian construction players. Additionally, Relative Importance Indices (RII) were used to analyse the data obtained and to identify those barriers and driving factors for the implementation of BIM in this country. Consequently, results of this study revealed that the main barriers for implementing the BIM are: 1) Lack of knowledge about BIM, 2) Reluctance and/or no insistence shown by the Malaysian construction industry players (Clients, Contractors and Consultants alike) on the use or implementation of BIM. The driving factors, on the other hand, that could lead to the speeding up of the implementation of BIM are: 1) Support and enforcing the implementation of BIM by the Government, 2) promote BIM training program and 3) Initiatives of senior management of the related industry players. In conclusion, for successful wide spread application of BIM in Malaysia, a good push from the government alone is far from enough. All other construction industry players mentioned must assume their roles well in promoting the use of BIM in their construction projects.

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This paper presents an integrated methodology for sustainable development planning to conserve the excess water resources. This developed methodology takes advantage of geographic information systems software to integrate its strength to manage the flood impacts. This approach is of dual purpose: first, to reduce the flash flood hazard of hill torrents; and second, to make use of flood water as a source of irrigation by conserving flood water in an earthen reservoir. The developed integrated methodology works as a decision-making system for selection of best site selection for earthen reservoir. The results for three potential sites for earthen reservoir supports in a decision-making process for best site for reservoir by analysing calculations for storage capacity, earthen works, and lengths of canals from reservoirs to agricultural land. This study investigated that the tools of geoinformatics have the potential to resolve the engineering challenges linked with mitigation of flood hazards. It is evident from the study that practical considerations for future turn the study into an informational tool to mitigate flood.

Pile Capacity prediction by the Stress-wave matching technique uses measured pile top velocity-or force-time signal as an input boundary conditjon. Reliable estimation of the pile capacity largely depends on availability of accurate and quality dynamic measurements of pile. . This paper discusses some dynamic measurements obtained from two instrumented precast concrete piles. Various aspects of measurement techniques and their shortcomings are also highlighted.