A Promising style of growth velocity model of green algae and diatoms in local lake area

A serious and difficult problem confronting those water plants which use reservoirs as water resources is how to predict the time when algae bloom would happen. A series of experiments have been designed and finished after efforts of nearly one year, and achieved some important and useful regulations which can do great help to the problem. 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 of these experiments came from subsurface water at the Dashahe Reservoir in Guangdong Province, China. During the cultivating process, it strictly controlled original indexes as trophic factors, ecological factors and topographic factors, and has successfully achieved 64 sets of experiment data, which indicate some suggested conclusions. Water temperature and light intensity are the prime inducements of algae bloom when water environment is nutritionally sufficient. It has proved that original trophic status, light intensity and water temperature have important effects on algae growth velocity. It has analyzed different algae growth velocities due to different original total nitrogen and total phosphorus, as well as light intensity, and used the data of algae biomass in lag phase and log phase to study the correlation between time and algal biomass with SPSS software. Results indicated that both under different original nutritional conditions and under different light intensities, the relationship between algae biomass and time matches an exponential function very well. So, it proposes a very promising style algal growing velocity model, which can be expressed as：dDdt = kent. According to the model, original trophic status, light intensity and water temperature will affect the concrete values of variants k and n.

A Promising style of growth velocity model of green algae and diatoms in local lake area