A new concept for the selection of rational construction and engineering parameters for the building of large deep-set edifices is set out for an environment where the requirements on preservation of historical sites and rational usage of land in big cities and growing more taxing. Based on the proposed geotechnical model, and the assessment of the results of quantitative modelling, research and experiments, a number of techniques have been developed intended to optimise the technological modes of construction under adverse urban conditions involving hard-to-handel soils and constrained urban ambience.

Yenagoa, capital city of Bayelsa State, lies in floodplain and surrounded by freshwater swamp and tributaries of the Nun River, Ekole and Epie Creeks, lakes and other natural drainage paths. But the City is annually inundated most times of the year. The goal of this research is to assess and recommend an effective storm water management system in the city. Objectives of the study include: assessing the challenges posed by storm water, identify climatic and hydrological settings of the study area, (c) develop an effective management strategy to mitigate the problem. Multi-stage sampling procedure was adopted and purposively select 6 communities from 22 identified communities, 95 questionnaires were administered. Spearman Rank Correlation was used to test the relationship between adequacy of drains and annual flooding incidence. The study found that; extensive uncontrolled development on wetlands fuelled rapid urbanisation, lack of drainage in many communities and the major roads in the city, development along natural drainage paths and poor waste management practices, thus blocking the natural paths of storm water flow and storm water challenges have caused environmental, health, economic and social problems for the residents. The study recommends that the 2004 Yenagoa Master be implemented and adopt the modified 2002 Model of Urban Storm water Improvement Conceptualisation (MUSIC) framework. Communities should be planned and appropriately laid out before development commences. Drainages should be provided with roads and linked to the natural discharge points. Natural drainage paths and wetlands should be cleared with adequate storm water infrastructure provided.

The high hardness of ground water causes some problems in household and industrial use. Therefore, this research was carried out. Several parameters have an impact on the adsorption behavior of Ca2+ and Mg2+ onto clay mineral from aqueous solution, i.e. pH, exchange time, original ions concentration, and temperature. All factors were carried out through batch technique. Optimum pH for Ca2+ and Mg2+ adsorption was found to be 6.0. As well as some thermodynamic parameters were calculated ?G, ?S and ?H indicating adsorption was spontaneous, wantonness and endothermic. The isotherm modeling was investigated, and the results were showed that Freundlich isotherm model more fitted than Langmuir, indicating the presence of heterogeneous sites for Ca2+ and Mg2+adsorption.

Water uniformity is affected by sprinklers in a self-propelled center-pivot irrigation system. Thus sprinklers acceptability is very important in water management of such systems. In this paper the objective was focused on the applications of data mining algorithms for selecting a sprinkler based on calculated performance indicators like coefficient of uniformity, distribution uniformity in the low quarter of center pivot irrigation system, application efficiency, application efficiency in the low quarter, gross depth of water applied and the average of weighted depth in low quarter of caught water applied from a center pivot irrigation system. The tested sprinkler types were NelsonD3000 Sprayhead-3TN, Nelson R3000 Rotator-3TN, Nelson S3000 Spinner-3TN, Senninger i-Wob and Senninger LDN. Various data mining classification techniques such as J48, Random tree and Naïve Bayes were utilized. The classification was done by using Weka open source tool. The results were analyzed using training and testing data sets. Random tree gives the highest correctly classified percentage of 100%. Meanwhile, J48 and Naive Bayes give correctly classified percentage of 80% and 60%, respectively for testing data set. This study concludes that the irrigation data mining classification technique become highly active research to select sprayers in a center pivot irrigation system.

The environmental implications and applications of engineered nanomaterials (ENMs), like buckminsterfullerene (C60), have received considerable interest from stakeholders. Much of this interest is attributed to the belief that ENMs will demonstrate unique behaviors in environmental media, with particular concern paid to nanoparticle mobility (exposure) in aqueous systems. The objective of this study was to compare and contrast the mobility of C60 ENMs to that of three differently sized nanospheres having well-defined surface chemistries. The inherent goal was to evaluate the ability of media filtration to remove nanomaterials from aqueous streams. Like the nanospheres, C60 mobility was a complex function of size and solution chemistry, and the latter’s impact on particle interfacial behavior. Under favorable deposition/attachment conditions C60 and nanosphere retention increased with particle size. Nanoparticle mobility in saturated porous media generally followed expectations based on colloid filtration theory until a particle size of approximately 20 nm was reached. Nanoparticles smaller than this critical size demonstrated unique mobility behaviors, which were attributed to the so called nano-effect.