Abstract-To verify the effect of artificial flow on the improvement of local DO(dissolved oxygen) imbalance distribution, Lake Jing in Guangxi University was taken as the experimental area, five groups of experiments were designed, pump with different flow rate and different nozzle were used to push flow in experimental area, RBF Neural Network which is widely used in geographic information prediction was used to fitting the spatial distribution of dissolved oxygen and the dispersion coefficient was taken as the equilibrium index of DO horizontal distribution to analysis the effect of flow. The result shows that100 m 3 /min, 130 m 3 /min, 180 m 3 /min pump with circular nozzle and 130L/min pump with duckbill nozzle respectively need 1.5 hour, 1.0 hour, 0.5 hour, 1.5 hour to decrease the DO dispersion coefficient from 0.3 to 0.05, witch prove push flow has obvious effect on improving the DO balance and the effect is related with flow rate and nozzle, a larger flow pump and circular nozzle is preferred.

Abstract-In this paper, The kinematics and dynamics model of autonomous surface vessels (ASV) is established for the trajectory tracking control of ASV. A trajectory tracking control law is proposed by the sliding mode variable structure control method. Through theoretic analysis, the control law can guarantee the asymptotic stability of the trajectory tracking of ASV. The simulation results show that the proposed method is effective.

No abstract

The chlorophyll a (Chl-a)can express algae biomass, it is one indicator of the degree of eutrophication. In this paper, we take the Mirror Lake locate in Guangxi University as research object, and we fit the relationship between Ch1-a with every ecological factors in water by multivariate regression models,BP neural network, BP based onGenetic Algorithms and Support Vector Machines(SVM) to evaluate the eutrophication. Using BP neural network prediction model for the evaluation of eutrophication has good results which provide a theoretical basis for the landscape eutrophication's prevention and cure.