4篇
您的检索式：作者名="Yaying PAN"
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| 1 | Genetic variations within a collection of anthuriums unraveled by morphological traits and AFLP markers显示文摘 | Yaying Ge Fei Zhang Xiaolan Shen Yongming Yu Xiaoyun Pan Xiaojing Liu Jianxin Liu Gangmin Pan Danqing Tian | 2012 | Biochemical Systematics and Ecology2012，，： | 1 |
| 2 | Study and Application of Evaluation Method for Weather Impact of Traffic Accident on Zhejiang Freeway显示文摘Occurrence degree of the accident on Zhejiang freeway is graded. Evaluation indicator system of weather impact on freeway is established. We use principal component analysis to extract meteorological indicators,and use Logistic regression to establish evaluation model of meteorological indicator,thereby determining evaluation grade of traffic weather impact. Via application test,it is proved that the evaluation on traffic weather condition by the model corresponds with actual situation,which can provide certain decision-making basis for traffic department and the public. | Pan Yaying Zhu Zhanyun Shen Pingyue Luo Yuezhen Gu Tingting | 2014 | Meteorological and Environmental Research2014，5，11： | 0 |
| 3 | A leap by the rise of solid-state electrolytes for Li-air batteries显示文摘Li-air batteries have attracted extensive attention because of their ultrahigh theoretical energy density. However, the potential safety hazard of flammable organic liquid electrolytes hinders their practical applications. Replacing liquid electrolytes with solidstate electrolytes(SSEs) is expected to fundamentally overcome the safety issues. In this work, we focus on the development and challenge of solid-state Li-air batteries(SSLABs). The rise of different types of SSEs, interfacial compatibility and verifiability in SSLABs are presented. The corresponding strategies and prospects of SSLABs are also proposed. In particular, combining machine learning method with experiment and in situ(or operando)techniques is imperative to accelerate the development of SSLABs. | Kecheng Pan Minghui Li Weicheng Wang Shuochao Xing Yaying Dou Shasha Gao Zhang Zhang Zhen Zhou | 2023 | Green Energy & Environment2023，8，4： | 0 |
| 4 | Prediction of Lifespan of Tropical Cyclones Landing at China in Spring:A Case Study of Northward-moving-cluster Tracks显示文摘The recurving cluster of tropical cyclones(TCs)landing at China in spring has the characteristics of high frequency,strong intensity,severe influence and long lifespan,a better understanding of tropical cyclone tracks and their underlying mechanisms and more accurate prediction are thus of great value for the prevention and mitigation of TC-related disasters.Based on the best track dataset of typhoon during 1951-2018 from Shanghai Typhoon Institute(STI)of Chinese Meteorological Administration,the tracks of tropical cyclones landfalling over the Chinese coast during 1951-2018 are grouped into three clusters through finite mixture model.The ENSO index,PDO index and the 74 circulation indices of the National Climate Center are analyzed by the classification and regression tree(CART)algorithm for the first TC cluster(the northward-moving cluster).The prediction model based on the results of CART for spring track lifespan is built by a random sampling of the data during the 50 years(about 75%)as a model of the training set,and the training accuracy is 82.46%.The 17-year(about 25%)remaining data are used for testing,with a prediction accuracy of 75%.This study suggests that the finite mixture model algorithm produces a better classification of the northward-going-cluster tracks of TC landfalling over China.In addition,the CART algorithm,which is used for the classification of track lifespan prediction model,not only shows high accuracy,but also the results are easily explained and understood.It provides a novel idea for forecasting the lifespan of tropical cyclones landing at China. | Junhui LI Dawei SHI Yaying PAN Wei WANG | 2020 | Meteorological and Environmental Research2020，11，2： | 0 |
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