Optimal Study Of Irrigation On RCSU In Huaibei Hilly Area In Jiangsu Province

With the global scarcity of water resources and the birth of rainwater resources, more and more people become to accept the fact that the research of rainwater-collection-storage-utilization (RCSU) has been a new growing branch of the water resources subject. Recently in many areas, especially in some hilly areas, rainwater utilization has been an effective measure to compensate for water shortage and improve people's living standards. According to the present situation of RCSU research, the theoretical analysis of RCSU needs discussing and perfecting further. In connection with the RCSU planning in the hilly area in Xinyi City, the following paper puts forward an optimization study on the project scale and the regulation of RCSU for the first time, the analysis of the calculation results shows that the selected method and the model are feasible and effective in practice.On the aspect of optimal scale, regarded the maximum of mean annual net benefits of water sources project as an optimization standard, an optimal method and its concrete steps are presented in this paper. The results determine the optimal irrigation design probability and the corresponding optimal storage volume per mu. In addition, this paper also proposes a self-optimization simulation model that is applied to the optimal regulation analysis of RCSU irrigation. In order to take full advantage of rainwater in different design frequencies, the paper selects the minimum of water-discharging quantity into the outside of the planning area as the objective function. Simultaneously, under the following restraint conditions, such as reservoir's optimal operation lines, water balance, the maximum of water-supply quantity, the minimum of water-diversion quantity from the outside and so on, the system objective can converge in decisions step by step through automatic on-line-identifications, judgments, feedbacks and modifications. With such repeated decisions and replacements in cycles, the simulation decision variables reach optimal solutions finally, that is, the optimal regulation processes of irrigation sub-districts are realized. Meanwhile, the program of self-optimization simulation supplies a shortcut for the calculation of the optimal regulation in irrigation districts.