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Tarim University (2021)

Selection of Optimization Schemes for the Influence of Different Wells and Canals Combined with Irrigation Modes on Cotton Growth ——Taking the Alar Reclamation Area in Southern Xinjiang as an Example

郭又波

Titre : Selection of Optimization Schemes for the Influence of Different Wells and Canals Combined with Irrigation Modes on Cotton Growth ——Taking the Alar Reclamation Area in Southern Xinjiang as an Example

Auteur : 郭又波

Grade : Master 2021

Université : Tarim University

Résumé partiel
Agriculture,as an important basic industry for the development of the national economy and a national strategic emerging industry,is an important foundation that any developed country and region must rely on for social and national economic development.The sustainable development of agriculture is of decisive significance for the development of our country’s socialist economy.In recent years,with the rapid development of our country’s national economy and the continuous increase in population,the demand for water resources in my country has also increased sharply.In addition,our country’s water pollution is serious,the available fresh water resources are becoming less and less,and the contradiction between supply and demand has become more and more tense,which has severely restricted In order to promote the development of our country’s economy,the rational use and optimal allocation of resources is one of the main ways to solve the contradiction between the supply and demand of water resources in our country.The combination of wells and canals refers to the joint and unified dispatch of groundwater and surface water to achieve the purpose of timely irrigation(water supply)of crops and sustainable use of water resources.Combination of wells and canals can also be called combination of canals and wells.The two express the same irrigation method,but the weight of irrigation water source is different.The former is mainly well irrigation,and canal irrigation is supplementary,while the latter is mainly canal irrigation,supplemented by well irrigation.The problem of combining wells and channels generally optimizes the scheduling parameters of groundwater and surface water,and finally obtains the proportion,time,and distribution of water use.Methods to explore the problem of well-canal integration include operations research methods,numerical simulation methods,and large-scale system decomposition and coordination theory.Alar is located in the territory of Aksu,Xinjiang,from the southern foothills of the Tianshan Mountains in the north to the edge of the Taklimakan Desert in the south.It is located in an arid and semi-arid desert area.In this study,cotton,the main crop in Alar,southern Xinjiang,was used as the research object.Field experiments were used.Field management measures such as farming,weeding,fertilization,chemical control,and maturation were consistent in all experimental plots.The cotton planting method is one membrane,two tubes,4 rows,the row spacing is 30 cm×60 cm×30 cm,the membrane width is 120 cm,and the membrane spacing is 20 cm.The experiment has 5 treatment modes.Through the measurement of soil conductivity,ion concentration and key indicators for evaluating cotton growth under the 5 treatment modes,the 5 ions(respectively K+,Na+,Cl-,CO32-,SO42-)that have the most significant impact on cotton growth are selected.),under the premise of applying wavelet denoising for data cleaning,a regression model is constructed ;through the analysis of soil conductivity,ion concentration and key indicators of crop growth under the five treatment modes The determination rate uses the data of 10 times after 5 kinds of treatments to analyze the fuzzy neural network algorithm to explore the optimal irrigation mode suitable for the growth of cotton to analyze the influence of soil salt content on the growth of cotton under different treatment modes ;Five treatment modes analyzed the effects of different treatment modes in different periods on cotton plant height,plant diameter and soil moisture content,and discussed the optimal irrigation mode suitable for cotton growth.

Mots clés : combination of well and canal ;irrigation mode ;growth influence ;fuzzy neural network ;optimization plan ;

Présentation (CNKI)

Page publiée le 7 novembre 2021