Title :
The research on eruption peak mutation model of lake and reservoir alga bloom
Author :
Zhao, Xiaoping ; Wang, Xiaoyi ; Liu, Zaiwen ; Dong, Shuoqi ; Zhao, Xing
Author_Institution :
Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
Lake and reservoir alga bloom´s eruption is resulted by multiple factors, and its formation mechanism is rather complicated. A simulation of this eruption has been conducted in sunshine-room laboratory, then analysis the primary factor influencing the alga growth by rough set theory, through mutation theory to determine the critical factors of eruption. On this basis, the peak mutation model featured by potential function of chlorophyll-a is constructed so that the characteristic of alga bloom is able to described. Finally, the simulation is proved that the model is effective and feasibility.
Keywords :
ecology; lakes; microorganisms; reservoirs; rough set theory; water pollution control; alga growth; chlorophyll-a; eruption peak mutation model; formation mechanism; lake; mutation theory; reservoir alga bloom eruption; rough set theory; sunshine-room laboratory; Analytical models; Bifurcation; Biological system modeling; Data models; Lakes; Mathematical model; Reservoirs; Alga bloom; Peak mutation model; Rough set theory;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358375