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Journal of Integrative Agriculture  2012, Vol. 12 Issue (8): 1365-1376    DOI: 10.1016/S1671-2927(00)8667
SOIL & FERTILIZER · AGRI-ECOLOGY & ENVIRONMENT Advanced Online Publication | Current Issue | Archive | Adv Search |
Spatio-Temporal Changes of Soil Salinity in Arid Areas of South Xinjiang Using Electromagnetic Induction
 LI Xiao-ming, YANG Jing-song, LIU Mei-xian, LIU Guang-ming,  YU Mei
1.State Key Laboratory of Soil and Sustainable Agriculture/Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, P.R.China
2.Engineering Research Center for Land Consolidation, Shaanxi Province/Shaanxi Estate Development Service Corporation, Xi’an 710075,P.R.China
3.Water Conservancy Bureau of Yuhuatai, Nanjing 210012, P.R.China
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摘要  The aim of this paper was to research the spatio-temporal changes in total soluble salt content (TS) in a typical arid region of South Xinjiang, China, where the climate is arid and soil salinization happens easily. The total soluble salt content was interpreted by measurements made in the horizontal mode with EM38 and EM31. The electromagnetic induction (EM) surveys were made three times with the apparent soil electrical conductivity (ECa) measurements taken at 3 873 locations in Nov. 2008, 4807 locations in Apr. 2009 and 6 324 locations in Nov. 2009, respectively. For interpreting the ECa measurements into total soluble salt content, calibtion sites were needed for EM survey of each time, e.g., 66 sites were selected in Nov. 2008 to measure ECa, and soils-core samples were taken by different depth layers of 0-10, 10-20 and 20-40 cm at the same time. On every time duplicate samples were taken at five sites to allevaite the local-scale variability, and soil temperatures in different layers through the profiles were also measured. Factors including TS, pH, water content, bulk density were analyzed by lab experiments. ECa calibration equations were obtained by linear regression analysis, which indicated that soil salinity was one primary concern to ECa with a determination coefficient of 0.792 in 0-10 cm layer, 0.711 in 10-20 cm layer and 0.544 in 20-40 cm layer, respectively. The maps of spatial distribution were predicted by Kriging interpolation, which showed that the high soil salinity was located near the drainage canal, which validated the trend effect caused by the irrigation canal and the drainage canal. And by comparing the soil salinity in different layers, the soluble salt accumulated to the top soil surface only in the area where the soil salinization was serious, and in the other areas, the soil salinity trended to increase from the top soil surface to 40 cm depth. Temporal changes showed that the soil salinity in November was higher than that in April, and the soil salinization trended to aggravate, especially in the top soil layer of 0- 10 cm.

Abstract  The aim of this paper was to research the spatio-temporal changes in total soluble salt content (TS) in a typical arid region of South Xinjiang, China, where the climate is arid and soil salinization happens easily. The total soluble salt content was interpreted by measurements made in the horizontal mode with EM38 and EM31. The electromagnetic induction (EM) surveys were made three times with the apparent soil electrical conductivity (ECa) measurements taken at 3 873 locations in Nov. 2008, 4807 locations in Apr. 2009 and 6 324 locations in Nov. 2009, respectively. For interpreting the ECa measurements into total soluble salt content, calibtion sites were needed for EM survey of each time, e.g., 66 sites were selected in Nov. 2008 to measure ECa, and soils-core samples were taken by different depth layers of 0-10, 10-20 and 20-40 cm at the same time. On every time duplicate samples were taken at five sites to allevaite the local-scale variability, and soil temperatures in different layers through the profiles were also measured. Factors including TS, pH, water content, bulk density were analyzed by lab experiments. ECa calibration equations were obtained by linear regression analysis, which indicated that soil salinity was one primary concern to ECa with a determination coefficient of 0.792 in 0-10 cm layer, 0.711 in 10-20 cm layer and 0.544 in 20-40 cm layer, respectively. The maps of spatial distribution were predicted by Kriging interpolation, which showed that the high soil salinity was located near the drainage canal, which validated the trend effect caused by the irrigation canal and the drainage canal. And by comparing the soil salinity in different layers, the soluble salt accumulated to the top soil surface only in the area where the soil salinization was serious, and in the other areas, the soil salinity trended to increase from the top soil surface to 40 cm depth. Temporal changes showed that the soil salinity in November was higher than that in April, and the soil salinization trended to aggravate, especially in the top soil layer of 0- 10 cm.
Keywords:  spatio-temporal changes      soil salinity      South Xinjiang      electromagnetic induction (EM)      Kriging  
Received: 24 May 2011   Accepted:
Fund: 

The study was supported by the Special Fund of Industrial (Agriculture) Research for Public Welfare of China (200903001), the Special Fund of Industrial (Marine) Research for Public Welfare of China (201105020-3 and 201105020-4), the Science and Technology Support Program of Jiangsu Province, China (BE2010313), the Knowledge Innovation Program of the Chinese Academy of Sci ences (KZCX2-YW-359), and the National Natural Science Foundation of China (41171181).ences (KZCX2-YW-359), and the National Natural Science Foundation of China (41171181).

Corresponding Authors:  Corresponednce YANG Jing-song, Tel: +86-25-86881222, E-mail: jsyang@issas.ac.cn     E-mail:  jsyang@issas.ac.cn

Cite this article: 

LI Xiao-ming, YANG Jing-song, LIU Mei-xian, LIU Guang-ming, YU Mei. 2012. Spatio-Temporal Changes of Soil Salinity in Arid Areas of South Xinjiang Using Electromagnetic Induction. Journal of Integrative Agriculture, 12(8): 1365-1376.

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