Study On The Dynamic Water Production Function And The Optimal Irrigation Schedule Of Artificial Glassland In The West Of Jilin Province

The west of Jilin Province is one of the important bases of animal husbandry in our country. as great grazing pasture and mowing pasture with flat grassland and richness plant species. especially famous chinensis.In recent years.due to rapid growth of people and livestock and to cost the resources and environment under extensive operating and mismanagement. grassland seriously degrades:the environment of grassland deteriorates extremely. seriously affecting the local economy development and social construction. Domestic and foreign advanced experience and practice of years have proved. the establishment of high quality artificial grassland is the management of grassland degradation and improve grassland productivity. improve agricultural ecological environment and realize the importance of measures to balance livestock. Irrigation system is important for establishing artificial grassland. but the west of Jilin Province is semi-arid area.which is lack of water for irrigating artificial grassland. Therefore, the save-irrigation should be realized and the irrigation system should be established, which is important for artificial grassland in the west of Jilin Province.This thesis studied the important herbage——chinensis in west area of Jilin Province as the breakthrough point. Firstly. based on the data of the experimentation of limited irrigation of chinensis. we established empirical dynamic model of water production function in west area of Jilin Province for the first time.Then we established optimization model of irrigation schedule for chinensis, and presented solution method for the model. At last we got the optimization of irrigation schedule of artificial grassland in the west Jilin Province by simulated annealing algorithm (SA) and chaos optimization algorithm (CA).The concrete study contents are as follows:1. Because the water saving mechanism and the optimal irrigation schedule about chinensis artificial grassland in Baicheng area of Jilin Province is the key study object. we developed the experimentation of limited irrigation of chinensis in the Sanjiazi pasture of Baicheng area in Jilin Province. Through the experimentation and observation in 2010. we got the firsthand data for the study of water demand and consumption rules of chinensis.2. Based on the data of the experimentation. we got increased coefficient of dry matter in all growth stages of chinensis and influence function of water deficit. We got the conclusions as follow:(1) The increased coefficient of dry matter in all growth stages of chinensis are as follow:1.24,1.74,3.83,1.23,1.14. The number of above show that chinensis jointing is the most important phase of dry matter accumulation. tillering and heading, followed by at least turning green and maturity. (2) The five influence functions of water deficit in five growth stages in chinensis reflect the growth of chinensis water water consumption objectively. Water requirements of each stage of growth showed:Jointing> tillering> heading> greenup> maturity.3. Rainfall is an important supply items to the hydrology and water resources system. to be an important indxt about regional water resources.and also a basic source of water supply for soil root zone.the text couples to the Mente-carlo method and the Nearest Neighbor Bootstrap Regressive model through the rainfall data of by 56 years. considering the randomness and statistical regularity and statistical similarity of rainfall.Mode is proved rationality and applicability by texting.4. This thesis based on the solution characteristics of dynamic programming to establish the corresponding optimization model for irrigation system.and gaves two intelligence optimum algorithms to got the Solution of the model.There are simulated annealing algorithm (SA) and chaos optimization algorithm (CA). SA. which accepts the optimal value by probability. increases agility of its searching process and avoid local optimized solution. CA. which searches optimal solution in the solution space by using chaos variables based on chaotic motion rule, can avoid local optimized solution with high searching efficiency.5. Based on the established optimization model and its solution methods. this thesis developed software about the optimal design of irrigation schedule. and used this software to strike the optimal irrigation schedule according to the data of the experimentation in the grassland station of Sanjiazi pasture of Baicheng area in Jilin Province in 2010. optimization of irrigation schedule shows that Jointing stage, tillering and heading stage is the critical period of water demand, water allocation can be occupied by more than 70%of the total water. to obtain higher yield under irrigation quota. irrigation allocation should first ensure that the three stages of water demand.