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Study oil Optimization of Pipeline Irrigation Area of the Lower Yellow River Irrigation Project

Author: CaoSanHai
Tutor: ZhangQingHua
School: Shandong Agricultural University
Course: Agricultural Soil and Water Engineering
Keywords: Low-pressure Pipe Irrigation Irrigated Areas Optimization Model Genetic Algorithm
CLC: S274.1
Type: Master's thesis
Year: 2013
Downloads: 15
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Abstract


With the sustained and rapid development of China’s agriculture, water consumption isincreasing. Agriculture has always been a major water users, but at the same time there is alow production capacity per unit of water, water use efficiency is not high, a serious waste ofphenomena. In response to this situation, in order to improve water use efficiency, increasethe irrigation efficiency of the irrigation district. Conducted in-depth analysis of the factorsaffecting the aqueduct irrigation costs from an economic point of view, building irrigationrun-depth study. In this thesis, the main contents and results are as follows:Analysis an integral part of the aqueduct irrigation, against the actual situation of thelower reaches of the Yellow River irrigated areas,analyzes factors affecting buildingirrigation are pipe network layout form of water distribution pipes, irrigation area, economicfactors, characteristics of water and sediment. These factors impact on the irrigation areaplays a key role to play, affecting the overall efficiency of irrigation area. Yellow RiverIrrigation water contains large amounts of sediment, the use of years of observational data, theuse of statistical analysis approach, focusing on the lower reaches of the Yellow River waterdiversion, the maximum amount of water, sediment, maximum sediment concentration inparticle size, particle size distribution of the water and sediment. Analytical data of the water,have a direct impact on some of the irrigation district scale pipe network hydraulic calculationfor essential parameters.Analysis of the cost components of the irrigation project and the characteristics of each.Based on the function of project investment, project annual operating cost function,engineering benefit function, established of the annual net present value of the optimizationmodel of the target. According to the characteristics of the optimization model which relatesto the parameters of the model constraints, important constraints include: the irrigated area,the pipeline flow velocities, water available, funding conditions.Some important parameters in the optimization model calculation method, including thecalculation of irrigation water, irrigation water calculation is based on the utilization coefficient of irrigation water, irrigation, irrigation cycle parameters. Choice of silt flow rateis calculated based on a few of the more commonly used at this stage based on the calculatedthe silt flow rate experience formula diversion sediment data, has been built in irrigated areasas a parameter to compare and analyze the existing formula, too the empirical formula used tocalculate the irrigated areas of silt flow rate, the pipeline investment statistics to determine thecoefficients will be piped price diameter of the important parameters, the use of regressionanalysis, summarized, arriving at the pipeline price formula funds condition.In the solution of the model, the comparison of the advantages and disadvantages of thetraditional method and genetic algorithm. Discusses the origin of the development andapplication of genetic algorithm, described the calculation principle and procedure of thegenetic algorithm analysis described some of the parameters set in the optimization process.

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CLC: > Agricultural Sciences > Agricultural Engineering > Irrigation and water conservancy > Irrigation system and management > Irrigation System
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