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Based On The Statistics Of Wheat Field Soil Nutrient Spatial Characteristics Research

Posted on:2019-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:L H YueFull Text:PDF
GTID:2393330572460667Subject:Agriculture
Abstract/Summary:PDF Full Text Request
The spatial variation of soil is related to a variety of factors,mainly natural factors and human factors.Soil nutrients show different properties with different locations.The study of soil nutrient space characteristics can help to scientifically fertilize the soil and provide scientific and reasonable guidance for agricultural workers.The rational use of chemical fertilizer can protect the environment,maintain soil quality and increase crop yield and quality.This is also an important way to achieve "precision agriculture"Traditional statistics,has the advantage of simple calculation,easy to use,to statistical advantage on a particular piece of regional spatial structure analysis,simulation and spatial interpolation,the advantage of GIS is spatial display and query,according to the actual situation through traditional statistical methods to simple processing of the data,using statistical methods,through the statistical analysis of ArcGIS software to function and spatial analysis function of hongtong county,linfen city,Shanxi Province,soil nutrient spatial variation analysis,is of great significance for rational planting and scientific fertilizationBased on the traditional analysis method,and the statistical analysis method combined with GIS technology in hongtong county,linfen city,Shanxi Province,organic matter,alkali-hydro nitrogen,effective phosphorus,available potassium,zinc,effectively effective effective copper,iron,manganese,effectively effective boron nine spatial variation characteristics of soil nutrient research,the results are as follows:Traditional analytic method to the analysis results show that hongtong county,linfen city,Shanxi Province,there are 9 kinds of nutrient elements in soil of different degrees of variation,the variation coefficient between 0.19 0.6,organic matter,alkaline hydrolysis n,available p,available k,effective zinc,effective effective copper,iron,manganese,effectively boron these nutrient elements effectively is belonged to medium variation,one of the effective manganese minimum variation coefficient is 0.19,the variation coefficient of effective phosphorus is 0.6.Organic matter,alkali-free nitrogen,effective phosphorus,quick-acting potassium,effective zinc,effective iron,effective manganese,effective copper,and effective boron nine nutrients are all tested in normal distribution.The spatial autocorrelation of all kinds of nutrients is large,the change range of effective copper is 22354 meters,and the change range of the available potassium is 7,280 meters.Basal effect of organic matter,the smallest is 6.74%,effective zinc base bottom effect maximum 73.65%,organic matter,alkali-hydro nitrogen,effective copper base effect value is less than 25%,the other 6 kinds of nutrient elements basal effect value between 25%and 75%.It is indicated that organic matter,alkali-soluble nitrogen and effective iron are influenced by structural factors,and other elements are caused by the combination of structural factors and random factors.Ordinary kriging interpolation method is used to generate the interpolation of figure,according to display the results found that the distribution of organic matter in the Middle East is given priority to,very few northwest and southeast direction,organic matter content in the most area of 28.1%,the area of the content of at least 1.08%;The content of alkali nitrogen content is more than that in the east,the north and the south are less,and the area with the most nitrogen content is 20.26%,and the area with the least amount is 2.45%.In general,the spatial distribution of effective phosphorus was less than that of east dossier,with the area with the highest effective phosphorus content of 21.72%,and the area with the least content was 2.01%.The spatial distribution of the available potassium is more than that of the west and north of hongtong county.The proportion of the area with the highest potassium content is 19.4%,and the area with the least content is 0.01%.The effective zinc content is less in the north and south of hongtong county,the central area is more,the area with the most effective zinc content is 24.85,and the area with the least effective zinc content is 2.05%.The distribution of effective iron is less in the middle,and relatively few in the southeast and northwest,the area with the most effective iron content is 15.56%,and the area with the least effective iron content is 2.81%.The effective manganese space distribution is more than the southeast,northwest and middle.The area with the most effective manganese content is 20.89%,and the area with the least effective manganese content is 3.28%.The area with the most effective copper content is 18.99%,and the area with the least effective copper content is 0.02%.The effective boron content is relatively small in the north,the distribution content is relatively high in the south,the area with the most effective boron content is 17.12%,and the area with the least effective boron content is 1.41%.In this paper,by adopting the technology of ArcGIS,using traditional statistical method and statistical method to analyze the hongtong county soil nutrient data,hongtong county,using ordinary kriging interpolation method to get nine kinds of spatial distribution of soil nutrients,for the scientific and reasonable cultivation and scientific fertilization is of great significance.
Keywords/Search Tags:Statistics, GIS, Soil nutrients, Spatial variation
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