A comprehensive factor model of growth velocity of green algae and diatoms in local lake area

With rapid development of our society and economy in these years, more and more nutrients flow into those water bodies, providing an excellent base for the various algal blooming breaking out very suddenly, only if environmental conditions are suitable. For water treatment plants using those eutrophication resources as raw water, the existing water quality models or eutrophication models cannot provide much in time and real-time help with a short-term to monitor a special local water area＇s quality of water source. In order to study the correlation between changes of several typical indices and growth regulation, algae were cultivated in an artificial environment. The raw water used in these experiments came from subsurface water at the Dashahe Reservoir in Guangdong Province, China. During the cultivating process, it strictly controlled original indices as trophic factors, ecological factors and topographic factors, and has successfully achieved 64 sets of experiment data, which indicate some suggested conclusions. It has achieved some regulations which can describe how certain factors influence algae growth biomass and velocity, including nutrition factors, ecological factors, and topographic factors. From several interrelated studies, it is known that algae growth velocity is affected mostly by initial trophic status, light intensity and water temperature. In this research, with the help of SPSS software to explore regression analyses, it is proposed that algae growth velocity model should be depicted as a comprehensive model and expressed as： dDdt = kent.

A comprehensive factor model of growth velocity of green algae and diatoms in local lake area