Ecological risk assessment of regions alongside Qinghai-Xizang highway and railway based on artificial neural network
Zheng Du
2005
英文摘要Concept model of regional ecological risk is built for the characteristics of ecosystems alongside Qinghai-Xizang highway and railway based on MLP (Multilayer percetron) model. Seven indices such as snow hazard, drought hazard and landslide are selected to evaluate the integrated ecological risk of the ecosystems alongside Qinghai-Xizang highway and railway. Results show that Qaidam mountain desert region has the highest average ecological risk value (4.2585), followed by Guoluonaqu alpine scrub meadow region (2.7640) and Qinghai and Qilian mountain steppe region (2.7335) among these ecosystems alongside Qinghai-Xizang highway and railway through six natural regions. As far as land cover types are concerned, the top three ecological risk values appear in the needle-leaved forest (4.3096), desert ecosystem (4.1174) and land without vegetation (3.6182) respectively, which are higher than those in the other seven land cover types in the study site. Although the risk values are influenced by natural factors and human activities, they are more strongly controlled by natural factors. According to the ecological risk characteristics, these ecosystems alongside Qinghai-Xizang highway and railway are subdivided to four subregions, including Chaidam basin high risk region, Xidatan to Dangxiong moderate risk region, and east Qinghai, Qilian and south Qinghai slight risk regions.
出处Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis
41期:4页:586-593
收录类别EI
语种英语
内容类型EI期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/25008]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Zheng Du. Ecological risk assessment of regions alongside Qinghai-Xizang highway and railway based on artificial neural network. 2005.
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