Juniper Publishers Journal Of Civil Engineering

 Civil Engineering Research Journal- Juniper Publishers   Introduction General Most of the synthetic organic chemicals and naturally occurring substances, enter the aquatic medium in several different ways and, according to their water solubility, can be transported and distributed in the water cycle. The effluents of urban wastewater treatment plants are among the major responsible for the release of this kind of contaminants into the environment. Although conventional biological processes are usually efficient for the degradation of pollutants occurring in wastewater, refractory compounds are not effectively removed. In such cases the use of Advanced Oxidation Processes (AOPs) may improve the overall removal efficiency of such compounds. In the Past two decades, advanced oxidation processes (AOPs) have been proven to be powerful and efficient treatment methods for degrading recalcitrant materials or mineralizing stable, inhibitory, or toxic contaminants. Advanced oxidation processes

 Civil Engineering Research Journal- Juniper Publishers   Abstract Purpose:  Building Information Modeling (BIM) is the best tool to improve construction processes. However, BIM did not implement successfully. So, solving these issue needs a better knowledge about Critical Success Factors (CSFs). Aim:  The aim of this paper is to investigate Critical Success Factors (CSFs) to BIM implementation in construction industry. Design/methodology/approach:  To investigate the research objectives, a quantitative approach was adopted, and a structured questionnaire was designed. A total of sixty-eight copies of questionnaire were distributed and sixty-five of them were satisfactory completed, making the total response rate = 95.58%. Snow-ball sampling method helped to obtain a high rate of response and thus increase accuracy. Findings:  The most important Critical Success Factors (CSFs) to implementing BIM were 4D construction sequencing and simulation, clash detection, support from top manager,

 Civil Engineering Research Journal- Juniper Publishers   Abstract A model that predicts the settlement of pile in the coastal regions of Nigeria (Lekki, Aja, Ikoyi, Victoria Island, Magodo, Ikorodu, Ipakodo and Festac) in Lagos was studied through the use of statistical analysis. Descriptive analysis, parametric test, correlation and regression were used to determine a significant relationship between stress and its settlement. A predictive model describing the relationship between stress and maximum settlement of these piles was generated. The results reveal that the settlement increased by 0.0009mm for every one-point increase in stress. A predictive stress-settlement model was developed with a regression coefficient of 0.8428. The model may be useful in providing settlement information on piles driven within the Lagos. Keywords:  Static pile; Load test; Load settlement response; Predictive model; Coastal region Go to Introduction The steady increase in the rate of urbanization with