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首页> 外文期刊>Environmental Geology >Assessment of karst rocky desertification using the radial basis function network model and GIS technique: a case study of Guizhou Province, China
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Assessment of karst rocky desertification using the radial basis function network model and GIS technique: a case study of Guizhou Province, China

机译:基于径向基函数网络模型和GIS技术的喀斯特石漠化治理评价-以贵州省为例

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摘要

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 reason-ability and applicability of the RBFN model.
机译:中国西南喀斯特地区的喀斯特石漠化是当地可持续发展的障碍。尽管许多研究人员对此问题进行了研究,但本研究利用GIS技术提取了影响荒漠化的各种指标,并提取了空间数据并为贵州省建立了RBFN(径向基函数网络)模型。通过对岩溶石漠化不同程度的样本数据进行标定,建立了模型参数,并对岩溶石漠化进行了评价。结果表明,黔西南县喀斯特石漠化严重,黔北县属中度荒漠化,东南县受轻度影响。结果与其他研究的比较表明,该算法与实际情况相符,证明了RBFN模型的合理性和适用性。

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