Abstract
Karst rocky desertification in karst areas of Southwest China is an obstacle for the sustainable development of the locality. While many researchers have studied this issue, this study quantified the various indicators affecting desertification, using GIS technology to extract spatial data and to construct a RBFN (radial basis function network) model for Guizhou province. By calibrating sample data of the different levels of karst rocky desertification, the model parameters were established, and then the assessment of karst rocky desertification. Results show that in counties of Southwestern Guizhou Province karst rocky desertification is severe, counties in northern Guizhou have moderate desertification, and southeastern counties are affected lightly. Comparison of the results with other research shows conformity with actual conditions, proving the reasonability and applicability of the RBFN model.
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Acknowledgements
The research was supported by the Key Project of National Natural Science Foundation of China (40335046). The authors are grateful to Dr. Li Shuncheng and the anonymous reviewer for their comments and suggestions. However, any errors or shortcomings in the paper are our responsibility.
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Qiu-hao, H., Yun-long, C. Assessment of karst rocky desertification using the radial basis function network model and GIS technique: a case study of Guizhou Province, China. Environ Geol 49, 1173–1179 (2006). https://doi.org/10.1007/s00254-005-0162-4
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DOI: https://doi.org/10.1007/s00254-005-0162-4