2014Advanced materials researchRequires access

Study on Dynamic Changes of Soil Salinity in Southern Area of Laizhou Bay

Wen Quan Liu, Hong Yu, Xing Yong Xu

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Abstract

Soil salinization problem was serious in Southern area of Laizhou Bay under the influence of shallow underground brine. In this patter, the dynamic changes of soil salinity in summer and fall were analyzed by using classical statistics and geo-statistics. Results indicated that soil salinity of each 1ayer shows great variability. The layers of 0~30cm, 30cm~60cm in summer and 30cm~60cmlayer in autumn showed moderate spatial autocorrelation, while the other layers showed strong spatial autocorrelation. The spatial distribution maps of soil salinity interpolated by Kriging method indicated that the spatial distribution of soil salinity of different layers were similar, the salt content decreased from the coastal area to inland and presented zonal distribution.

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What this paper is about

Soil salinization problem was serious in Southern area of Laizhou Bay under the influence of shallow underground brine. In this patter, the dynamic changes of soil salinity in summer and fall were analyzed by using classical statistics and geo-statistics. Results indicated that soil salinity of each 1ayer shows great variability. The layers of 0~30cm, 30cm~60cm in summer and 30cm~60cmlayer in autumn showed moderate spatial autocorrelation, while the other layers showed strong spatial autocorrelation. The spatial distribution maps of soil salinity interpolated by Kriging method indicated that the spatial distribution of soil salinity of different layers were similar, the salt content decreased from the coastal area to inland and presented zonal distribution.

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Available abstract

Soil salinization problem was serious in Southern area of Laizhou Bay under the influence of shallow underground brine. In this patter, the dynamic changes of soil salinity in summer and fall were analyzed by using classical statistics and geo-statistics. Results indicated that soil salinity of each 1ayer shows great variability. The layers of 0~30cm, 30cm~60cm in summer and 30cm~60cmlayer in autumn showed moderate spatial autocorrelation, while the other layers showed strong spatial autocorrelation. The spatial distribution maps of soil salinity interpolated by Kriging method indicated that the spatial distribution of soil salinity of different layers were similar, the salt content decreased from the coastal area to inland and presented zonal distribution.

Key concepts: Soil salinity, Salinity, Bay, Spatial distribution, Environmental science, Kriging, Soil science, Autocorrelation

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