China University of Geoscicnces

Beijing, China

China University of Geoscicnces

Beijing, China
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Yang X.,China University of Geoscicnces | Liu J.,China University of Geoscicnces | Han S.,China University of Geoscicnces | Zhang H.,China University of Geoscicnces | And 3 more authors.
Acta Petrologica Sinica | Year: 2011

The Yangla copper deposit, situated in the middle section of Jinshajiang joint belt between Zhongza-Zhongdian plate and Changdu-Simao plate, is a representative and giant copper deposit that has been discovered in Jinshajiang-Lancangjiang-Nujiang region in recent years. There are coupled relationship between Linong granodiorite and copper mineralization in the Yangla copper deposit. LA-ICP-SB zircon U-Pb dating has revealed that the ages of two samples from the Linong granodiorites are 234. 1 ± 1. 2Ma ( MSWD = 0. 66) and 235. 6 + 1. 2Ma (MSWD =0. 66) , respectively. Molybdenite Re-Os model age for the KT2 ore body in Linong ore block is 230. 9 ± 3. 2Ma. The former represents the diagenetic age of the Linong granodiorite, the latter represents the metallogenic age of the Yangla copper deposit, the result shows that the metallogenic age is close to diagenetic age, but a little later. It is the significance for finding out genetic type of the Yangla copper deposit and prospecting.


Cheng X.,China University of Geoscicnces | Cheng X.,CAS Institute of Remote Sensing | Shen Z.,CAS Institute of Remote Sensing | Xing T.,China University of Geoscicnces | Dong W.,CAS Institute of Remote Sensing
Journal of Natural Disasters | Year: 2016

In this study, disaster estimation for the Ludian region was conducted based on post-disaster UAV( unmanned aerial vehicle) aerophotographic images. By using the mean shift and the C5. 0 decision tree algorithms, damaged buildings were extracted, the damaged building proportion was calculated, and the seismic intensity of study area was assessed. The verification results from visual interpretation and comparison with official data showed that, the relative error of damaged building proportion is less than 5 percent and the seismic intensity is the same as the official data. In addition, by calculating the ratio of the practical damaged building area to the classification re-sults of the damaged building area, a damaged building area evaluation model was proposed under the precondition that different areas are suffered from the same earthquake and have similar landform and building distribution. By verification, the minimum relative error of this model is 5. 31 percent. The model proposed in this study can help to estimate damaged building area rapidly with high accuracy.

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