Selection Of Optimization Schemes For The Influence Of Different Wells And Canals Combined With Irrigation Modes On Cotton Growth

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^-,CO₃^2-,SO₄^2-)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.Analyze the comparison of the results of different processing modes under different modeling methods to screen out the optimal processing mode.The main research conclusions are as follows:（1）Through the determination of soil conductivity,ion concentration and key indicators for evaluating cotton growth in the five treatment modes,the five ions that have the most significant impact on cotton growth(respectively K⁺,Na⁺,Cl^-,CO₃^2-,SO₄^2-),and on the premise of applying wavelet denoising for data cleaning,a regression model was constructed;the results showed that too high concentrations of SO₄^2-and Cl^-would inhibit cotton growth.Mode 4,among the 5 processing modes,is not only saving water,but also ensures that the concentration of SO₄^2-and Cl^-in the soil is within a reasonable concentration range.The overall effect of this treatment mode is the best.（2）Through the determination of soil conductivity,ion concentration and key indicators depicting crop growth under different irrigation modes,10 sample data under 5 irrigation modes were obtained respectively,and the sample data was processed by fuzzy neural network algorithm.Analyze and discuss the optimal irrigation mode suitable for cotton fields in southern Xinjiang.The results show that among the5 irrigation modes,the overall effect of mode 4 is the best,that is,the irrigation mode that uses a mixture of1/4 well water and 3/4 canal water has the best irrigation effect.（3）Through comparative analysis of the plant height and plant diameter of cotton in different soil layers under different treatment modes in different periods,the final result shows that treatment mode 4 has the greatest impact on cotton growth.（4）By comparing and analyzing the water content of different soil layers in different periods and different treatment modes,the final result shows that treatment mode 4 has the greatest effect on soil water and salt transport.（5）The final results based on the regression model and the fuzzy neural network algorithm show that among the five irrigation modes,the overall effect of mode 4 is the best.Therefore,the irrigation mode of1/4 well water and 3/4 canal water is used for irrigation.It not only saves water,but also ensures that the concentration of SO₄^2-and Cl^-in the soil is within a reasonable concentration range.The overall effect of this treatment mode is the best.