2011T'u Jang T'ung PaoRequires access

Spatial Variability of Soil Salinity under Drip Irrigation Conditions in Orchard of Southern Xinjiang:A case Study on 224 Regiment of 14 Division

Wenming Wang

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Abstract

Soil salinization is one of the main barriers in agricultural production in arid and semi arid areas,especially in southern Xinjiang.Understanding the characteristics of spatial distribution of saline soil is important in establishing strategies for soil salinity management.Geo-statistics,based on the regional variable theory,has been proved to be one of the most effective methods to analyze the spatial distribution and its variation law of soil properties.It is the foundation to well manage the soil and prevent the soil salinization for fully understanding the spatial distribution of soil salinity.In the present study,the spatial variability of soil salinity in different soil layers is studied by means of GPS,GIS,semivariograms of geo-statistics and Kriging method in 224 regiment of 14 division to quantificationally analyze the spatial variation of soil salinity in Experimental Area.The semivariogram of soil salinity 140-180 cm soil layers is best described by the Exponential model,and each layer left is best fitted by the Spherical mode1.Results indicate that soil salinity of each soil layer shows the moderate spatial variability and spatial autocorrelation resulting from compound impact of intrinsic and extrinsic factors,and the autocorrelation distance of each soil layer varies insignificantly.The spatial distribution maps of salt salinity interpolated by Kriging interpolation all show apparently strip and block.The entire plain has been basically free from soil salinization,and the prevention and secondary salinization are essential in farming practice management.

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What this paper is about

Soil salinization is one of the main barriers in agricultural production in arid and semi arid areas,especially in southern Xinjiang.Understanding the characteristics of spatial distribution of saline soil is important in establishing strategies for soil salinity management.Geo-statistics,based on the regional variable theory,has been proved to be one of the most effective methods to analyze the spatial distribution and its variation law of soil properties.It is the foundation to well manage the soil and prevent the soil salinization for fully understanding the spatial distribution of soil salinity.In the present study,the spatial variability of soil salinity in different soil layers is studied by means of GPS,GIS,semivariograms of geo-statistics and Kriging method in 224 regiment of 14 division to quantificationally analyze the spatial variation of soil salinity in Experimental Area.The semivariogram of soil salinity 140-180 cm soil layers is best described by the Exponential model,and each layer left is best fitted by the Spherical mode1.Results indicate that soil salinity of each soil layer shows the moderate spatial variability and spatial autocorrelation resulting from compound impact of intrinsic and extrinsic factors,and the autocorrelation distance of each soil layer varies insignificantly.The spatial distribution maps of salt salinity interpolated by Kriging interpolation all show apparently strip and block.The entire plain has been basically free from soil salinization,and the prevention and secondary salinization are essential in farming practice management.

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Available abstract

Soil salinization is one of the main barriers in agricultural production in arid and semi arid areas,especially in southern Xinjiang.Understanding the characteristics of spatial distribution of saline soil is important in establishing strategies for soil salinity management.Geo-statistics,based on the regional variable theory,has been proved to be one of the most effective methods to analyze the spatial distribution and its variation law of soil properties.It is the foundation to well manage the soil and prevent the soil salinization for fully understanding the spatial distribution of soil salinity.In the present study,the spatial variability of soil salinity in different soil layers is studied by means of GPS,GIS,semivariograms of geo-statistics and Kriging method in 224 regiment of 14 division to quantificationally analyze the spatial variation of soil salinity in Experimental Area.The semivariogram of soil salinity 140-180 cm soil layers is best described by the Exponential model,and each layer left is best fitted by the Spherical mode1.Results indicate that soil salinity of each soil layer shows the moderate spatial variability and spatial autocorrelation resulting from compound impact of intrinsic and extrinsic factors,and the autocorrelation distance of each soil layer varies insignificantly.The spatial distribution maps of salt salinity interpolated by Kriging interpolation all show apparently strip and block.The entire plain has been basically free from soil salinization,and the prevention and secondary salinization are essential in farming practice management.

Key concepts: Soil salinity, Spatial variability, Environmental science, Dryland salinity, Kriging, Hydrology (agriculture), Soil science, Salinity

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Spatial Variability of Soil Salinity under Drip Irrigation Conditions in Orchard of Southern Xinjiang:A case Study on 224 Regiment of 14 Division — Research Paper | ScholarLens