Research on soil organic carbon spatial distribution in Qilian Mountain based on geographic information system and spatial analysis technology

Junhua Zhang; Haibin Tong; Gengjun Jiao; Liping Zhao; Guodong Li

doi:10.1117/12.956438

8 June 2012 Research on soil organic carbon spatial distribution in Qilian Mountain based on geographic information system and spatial analysis technology

Junhua Zhang, Haibin Tong, Gengjun Jiao, Liping Zhao, Guodong Li

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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83342O (2012) https://doi.org/10.1117/12.956438
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

Geographic Information System and spatial analysis technology were used, soil organic carbon (SOC) spatial variation and distribution under different vegetation were studied the paper at west, middle and east sections of Qilian Mountain, in cold and humid region of northwest China, Gansu province. In August 2004, 44 surface soil samples (0-20cm) were collected covered with different vegetation in the upper reach of Shiyang River, Heihe River and Shule River, the three inland river basins in the Hexi corridor. The results show the following parts. (a) Mean SOC presents the trend of middle > east > west in Qilian Mountain. Under the control of SOC, soil properties including soil texture, TN, TP, TK and CEC are the same trend as SOC, but soil pH and CaCO₃ are reverse. And it has close relationship between SOC and less than 50μm particle size. (b) SOC content is higher at middle and east sections under different vegetation than that at west. And in the process of vegetation and precipitation, SOC spatial distribution has obvious variation with longitude, latitude and altitude.

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Junhua Zhang, Haibin Tong, Gengjun Jiao, Liping Zhao, and Guodong Li "Research on soil organic carbon spatial distribution in Qilian Mountain based on geographic information system and spatial analysis technology", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342O (8 June 2012); https://doi.org/10.1117/12.956438

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KEYWORDS

System on a chip

Vegetation

Carbon

Geographic information systems

Particles

Spatial analysis

Soil science

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