In June 2017, the Chongqing Municipal Govemment and Chinese scientists announced the discovery of a world -class dinosaur assemblage in Pu＇an, a town of Yunyang County, Chongqing. This group of skeletons was buried i...In June 2017, the Chongqing Municipal Govemment and Chinese scientists announced the discovery of a world -class dinosaur assemblage in Pu＇an, a town of Yunyang County, Chongqing. This group of skeletons was buried in the Jurassic Ziliujing Formation Da＇anzhai member and the lower and upper members of the Shaximiao Formation.展开更多
Slope stability prediction plays a significant role in landslide disaster prevention and mitigation.This study develops an ensemble learning-based method to predict the slope stability by introducing the random forest...Slope stability prediction plays a significant role in landslide disaster prevention and mitigation.This study develops an ensemble learning-based method to predict the slope stability by introducing the random forest(RF)and extreme gradient boosting(XGBoost).As an illustration,the proposed approach is applied to the stability prediction of 786 landslide cases in Yunyang County,Chongqing,China.For comparison,the predictive performance of RF,XGBoost,support vector machine(SVM),and logistic regression(LR)is systematically investigated based on the well-established confusion matrix,which contains the known indices of recall rate,precision,and accuracy.Furthermore,the feature importance of the 12 influencing variables is also explored.Results show that the accuracy of the XGBoost and RF for both the training and testing data is superior to that of SVM and LR,revealing the superiority of the ensemble learning models(i.e.XGBoost and RF)in the slope stability prediction of Yunyang County.Among the 12 influencing factors,the profile shape is the most important one.The proposed ensemble learning-based method offers a promising way to rationally capture the slope status.It can be extended to the prediction of slope stability of other landslide-prone areas of interest.展开更多
The 2019 Annual Symposium on Yunyang Dinosaur Fossil Protection and Research was held in Chongqing on December 16,2019.It was proposed in the symposium that the dinosaurs discovered from the early Middle Jurassic Xint...The 2019 Annual Symposium on Yunyang Dinosaur Fossil Protection and Research was held in Chongqing on December 16,2019.It was proposed in the symposium that the dinosaurs discovered from the early Middle Jurassic Xintiangou Formation in Yunyang,Chongqing could represent a new dinosaur fauna.Previously,only a few dinosaurs have been reported from the Xintiangou Formation.Moreover,the Xintiangou dinosaurs are playing an important role in studying the evolutionary sequence of dinosaurs,and have the potential to fill the gaps during the Early-Middle dinosaur turnover.展开更多
Current situation of road landscaping in old districts of mountainous cities was analyzed,renovation design principles and basis were proposed. Pengshui County in Chongqing was taken for example to explore renovation ...Current situation of road landscaping in old districts of mountainous cities was analyzed,renovation design principles and basis were proposed. Pengshui County in Chongqing was taken for example to explore renovation design methods,overall concepts and relevant contents of the road landscaping in old districts of mountainous cities,so as to provide references for the renovation design of road landscaping in old districts of modern mountainous cities.展开更多
文摘In June 2017, the Chongqing Municipal Govemment and Chinese scientists announced the discovery of a world -class dinosaur assemblage in Pu＇an, a town of Yunyang County, Chongqing. This group of skeletons was buried in the Jurassic Ziliujing Formation Da＇anzhai member and the lower and upper members of the Shaximiao Formation.
基金supports from National Natural Science Foundation of China(Grant No.52008058)National Key R&D Program of China(Grant No.2019YFC1509605)High-end Foreign Expert Introduction program(Grant No.G20200022005).
文摘Slope stability prediction plays a significant role in landslide disaster prevention and mitigation.This study develops an ensemble learning-based method to predict the slope stability by introducing the random forest(RF)and extreme gradient boosting(XGBoost).As an illustration,the proposed approach is applied to the stability prediction of 786 landslide cases in Yunyang County,Chongqing,China.For comparison,the predictive performance of RF,XGBoost,support vector machine(SVM),and logistic regression(LR)is systematically investigated based on the well-established confusion matrix,which contains the known indices of recall rate,precision,and accuracy.Furthermore,the feature importance of the 12 influencing variables is also explored.Results show that the accuracy of the XGBoost and RF for both the training and testing data is superior to that of SVM and LR,revealing the superiority of the ensemble learning models(i.e.XGBoost and RF)in the slope stability prediction of Yunyang County.Among the 12 influencing factors,the profile shape is the most important one.The proposed ensemble learning-based method offers a promising way to rationally capture the slope status.It can be extended to the prediction of slope stability of other landslide-prone areas of interest.
基金granted by the Dinosaur Fossil Protection and Research in Pu’an Township,Yunyang County,Chongqing Program(KJ-2018035).
文摘The 2019 Annual Symposium on Yunyang Dinosaur Fossil Protection and Research was held in Chongqing on December 16,2019.It was proposed in the symposium that the dinosaurs discovered from the early Middle Jurassic Xintiangou Formation in Yunyang,Chongqing could represent a new dinosaur fauna.Previously,only a few dinosaurs have been reported from the Xintiangou Formation.Moreover,the Xintiangou dinosaurs are playing an important role in studying the evolutionary sequence of dinosaurs,and have the potential to fill the gaps during the Early-Middle dinosaur turnover.
文摘Current situation of road landscaping in old districts of mountainous cities was analyzed,renovation design principles and basis were proposed. Pengshui County in Chongqing was taken for example to explore renovation design methods,overall concepts and relevant contents of the road landscaping in old districts of mountainous cities,so as to provide references for the renovation design of road landscaping in old districts of modern mountainous cities.
