Automated Parameter Selection For Predicting Quality Of River Water:- Elijah, Henry K

ABSTRACT

 Water quality determines the ‘goodness’ of water for particular purposes. Water quality tests will give information about the health ofthe waterway. By testing water over a period oftime, the changes in the quality of the water can be seen. Parameters that may be tested include temperature, ph, turbidity, salinity, nitrates and phosphates. An assessment of the aquatic macro invertebrates can also provide an indication ofwater quality. The problem statement of this research focus on the data that affect water quality and authenticity ofthe limited accuracy of the forecasts, lack of providing a clearer understanding of the structure of predicting selection of a quality ofriver ofwater using a traditional method ofpredicting and evaluating water quality building the models upon an accurate prediction in the limited monitoring data is difficult. The objectives ofthis research are to develop a platform used for parameter Selection for predicting quality ofriver water, design a platform for a sufficient modeling ofwater quality parameters in time series, build a database structure used to store data, design a platform that predict the water quality parameters using historical data collection from various station, create a platform that model system that could be used in feasibility studies of water conservation, design a platform that uses expert system to evaluate the quality and cleanness ofrivers water, create a platform that discuss about the expert system to monitor the quality ofrivers ofwater before venture into resources, design a platform for identifying the growth potential using ICT, create a platform that predict the potential for broad and inclusive impact on the poor quality of river of water. The application was realized through the adoption of Object Oriented Analysis and Design Methodology. In this work, the results are obtained by designing a system using Html and PHP. Database was designed using MySQL