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Proceedings Paper

A case study on the relationship between soil geochemical components and salinization in the western Jilin Province of China
Author(s): Yingbo Zhu; Quansheng Ge; Jiyuan Liu; Yunxuan Zhou; Zhiqiang Gao; Siqing Chen
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Paper Abstract

In this paper, we conducted a case study on the relationship between the soil geochemical components and the occurrence of soil salinization in the west of Jilin Province in China employing the GIS technologies and statistical analysis. We found that (i) the geochemical components are closely correlated with soil salinization and (ii) the selected eighteen geochemical components, S, K, Be, Cu, MgO, CaO, Na2O, Ph, Eh, Ba, Sb, F, Tl, Sr, Th, Pb, Se, Ge, were characterized with hierarchy and could be restructured into ten determinant factors after a CLUSTER and FACTOR analyses. In addition, this paper developed a binary logistic model with the occurrence or without occurrence of soil salinization as the dependent variable while the soil geochemical components as independent variables, which can be employed to diagnose and assess the current or potential soil salinization. A surface interpolation was conducted to validate and check the robustness of the models. We found that the classical statistical methods combining the surface interpolation constituted an effective and efficient framework to identify the relationship between soil geochemical components and the salinization and make an assessment on the soil salinization.

Paper Details

Date Published: 9 November 2004
PDF: 8 pages
Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); doi: 10.1117/12.559269
Show Author Affiliations
Yingbo Zhu, Institute of Geographical Sciences and Natural Resources Research, CAS (China)
Quansheng Ge, Institute of Geographical Sciences and Natural Resources Research, CAS (China)
Jiyuan Liu, Institute of Geographical Sciences and Natural Resources Research, CAS (China)
Yunxuan Zhou, East China Normal Univ. (China)
Zhiqiang Gao, Institute of Geographical Sciences and Natural Resources Research, CAS (China)
Siqing Chen, Institute of Geographical Sciences and Natural Resources Research, CAS (China)


Published in SPIE Proceedings Vol. 5544:
Remote Sensing and Modeling of Ecosystems for Sustainability
Wei Gao; David R. Shaw, Editor(s)

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