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Study on Farmland Drainage Index and Optimal Planning of Drainage Project

Author: LiHuiLing
Tutor: WangXiuGui；LuoQiang
School: Wuhan University
Course: Systems Engineering
Keywords: Low-yielding farmland Comprehensive management of waterlogging Farmland drainage Drainage indicators Drainage standards Crop water production function Polder Optimization Model Genetic Algorithms
CLC: S276
Type: Master's thesis
Year: 2005
Downloads: 327
Quote: 0
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Abstract


With the development of China's economy, the process of urbanization is accelerating, coupled with population growth, resulting in per capita arable land declining. According to the survey, China's per capita arable land area of ??only 0.1 hectares, growing food security. Therefore, in the case of limited arable land, how to improve grain yield per unit area is outstanding problems facing our country. It is estimated that China's existing, low-yielding fields of 874.46 million hectares, accounting for 71.3% of the arable land, which due to waterlogging disasters threatened farmland had 10.857 million hectares, accounting for 12.4% of the total area of ??the low-yielding fields in the country. Transformation of low-yielding fields, and effective measures to increase grain yields, improve food production. In this paper, the research projects of the Hubei Provincial Water Resources Department waterlogging disaster defense technology \planning model and its solution. Research status at home and abroad on the farmland drainage standards, drainage, indicators and crop water production function and waterlogging drainage engineering optimization methods in the first chapter summarizes and comments. Chapters 2 and 3 of the first aspect of the problem of a more detailed study, control indicators and drainage standards exist for drainage under the the floods the stains Kaneharu conditions existing measured pit conditions under crops in full growth stages Shoulao stains. Experiment Station in Jingzhou, Hubei, irrigation and drainage cotton for 2 years (2003-2004) and the year of Rape (2004) waterlogging drainage test, waterlogging drainage indicators, and on this basis to establish a multi- stage waterlogged under the influence of crop water production function, according to the test data to determine the parameters of the model, cotton, rapeseed each growth stage of waterlogging sensitive factor on crop growth stages Sort sensitivity of waterlogged , floods and and stains which factors are more sensitive to the problem. Similarly to the test and Rape (2004) Waterlogged drainage test based on the establishment of a model of the relationship of the relative production of waterlogging drainage indicators, test data to determine the parameters of the model. Meanwhile, the basis of a test cell in order to the Hubei Jingzhou four Lake Irrigation and Drainage Experiment Station the cotton test data 2003, under field conditions, natural Shoulao stains when the relative yield of waterlogging integrated drainage standard relational model, and in accordance with The experimental data obtained the respective parameters of the model. Drainage system design approach is to and waterlogging and Paizi separate, for the drawbacks of the existing drainage system design methods, the use of the contents of the previous studies, new drainage indicators specific to the design of the drainage system which The idea of ??the method is to use two software were used to simulate the dynamic process of surface water, groundwater flow, and waterlogging, Paizi a combination of both. Fitting a variety of programs, the largest economic net annual value of the goal to determine the final drainage system specifications. The method proposed provides a new method for the design of the drainage system. In Chapter 4, this article focuses on the second aspect of the content. First Research polder planning optimization model and solving method summarizes and comments. And Southern polder planning

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CLC: > Agricultural Sciences > Agricultural Engineering > Irrigation and water conservancy > Drain
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