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Study on Comprehensive Evaluation and Spatial Variability of Soil Fertility on Sanjiang Plain

Author: WangZiLong
Tutor: FuQiang
School: Northeast Agricultural University
Course: Agricultural Soil and Water Engineering
Keywords: Sanjiang Plain Soil fertility Comprehensive Evaluation Spatial variability Geostatistics Management district Attribute Recognition Particle Swarm
CLC: S158
Type: Master's thesis
Year: 2008
Downloads: 339
Quote: 6
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Abstract


Soil fertility in soil science, history, mankind has never stopped exploring its essence. On the basis of the new contemporary theory and advanced technical means, a comprehensive evaluation of soil fertility of the experimental area of ??the Sanjiang Plain, analysis of the structure of the spatial variability of soil fertility elements and draws its spatial distribution map on this basis. The division of soil nutrient management zones. Use of attribute recognition model based on entropy weight to comprehensive evaluation of the Sanjiang Plain Experiment 100 soil samples total nitrogen, organic matter, pH and other of seven soil physical and chemical indicators, and use of ArcGIS software to draw soil fertility spatial distribution map. The results showed that: a higher overall level of experimental zone of soil fertility, more than 90% of the area is fertile, more fertile level; soil nitrogen and organic matter in a downward trend in smaller, pH, soil acidification, soil phosphorus, low potassium . Therefore need to maintain and improve the level of nitrogen and organic matter content, increased phosphate and potassium fertilizer to farmland or straw kelp reasonable farming, improve the soil, prevent soil degradation, to maintain and improve the level of the region's soil fertility. The seven elements of the spatial variability of soil fertility in the experimental area, using classical statistics and geostatistics research in the sampling area using ordinary Kriging spatial interpolation prediction. The coefficient of variation, pH is a weak variation of soil fertility elements belong to the moderate variability. Geostatistical analysis shows that structural factors, such as parent material, topography, groundwater level is related to the main reason for causing all the fertility factor space. Organic matter has a strong spatial correlation, and other medium spatial correlation. All the fertility elements of spatial autocorrelation distance between 146.7 to 868.5m. The experimental semivariance and the fitting of the theoretical model and cross-validation table good Mingkelige method can interpolate all the fertility factor. Therefore, the geostatistical method to accurately evaluate the spatial variability of the experimental zone soil fertility elements. Provide the basis for the division of the soil nutrient management zones for variable rate fertilization technology, precision agriculture an important part of the implementation of variable rate fertilization management. Six nutrients as variable soil nutrient management partition. Determine a reasonable number of partitions used to divide the management partition attribute means clustering based on particle swarm optimization, and the introduction of the three indicators. Calculated, the experimental zone of a reasonable number of partitions for two, one-way ANOVA data on the management partitions actual soil nutrient sampling points, in addition to available phosphorus soil nutrients are in the 99% confidence level with a very significant differences, which partition 2 soil fertility level, a lower partition. The partition results showed that the attribute means clustering algorithm partition results based on particle swarm optimization, suitable for variable rate fertilization management. In summary, a comprehensive evaluation of soil fertility, the law of the spatial variability of soil fertility factor analysis and the partition of the soil nutrient management, not only to a certain extent reflect the real situation of the soil, so that we can better understand the nature of the soil, and for new research methods, variable rate fertilizer management, reasonable farming and farmland scientific experiments reasonable sampling provides a scientific basis.

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CLC: > Agricultural Sciences > Agriculture as the foundation of science > Soil > Soil fertility (soil fertility )
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