Showing 1 - 17 results of 17 for search '"Gaoyao"', query time: 4.61s Refine Results
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    The plastid genome and its implications in barcoding specific-chemotypes of the medicinal herb Pogostemon cablin in China. by Caiyun Zhang, Tongjian Liu, Xun Yuan, Huirun Huang, Gang Yao, Xiaolu Mo, Xue Xue, Haifei Yan

    Published 2019-01-01
    “…P. cablin in China can be divided into three cultivars (Shipai, Gaoyao, and Hainan) and two chemotypes (pogostone-type and patchoulol-type). …”
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    A precipitation forecast method based on transfer learning and Long Short Term Memory by Tianwen HUANG, Fei JIAO, Zhifang WU

    Published 2024-02-01
    “…In this study, the hourly observation data (rainfall, temperature, air pressure, relative humidity, wind direction, wind speed) from 2009 to 2022 of 6 meteorological observation stations in Zhaoqing City is used. The Gaoyao National Meteorological Observatory is selected as the target domain and the other 5 national meteorological observatories as the source domain, and the transfer learning method is used to transfer the source domain and correct missing values in the target domain. …”
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    Remnants of the amalgamation of the east and west Cathaysia blocks revealed by a short-period dense nodal array by He Huang, Xuzhang Shen, Jian Xu, Rui Gao, Wentian Wang, Qiming Zhou, Qiangqiang Huang

    Published 2023-01-01
    “…The Cathaysia block located at the southeast South China block (SCB) is considered formed by the amalgamation of the east and west Cathaysia blocks along the Gaoyao–Huilai and Zhenghe–Dapu deep faults (here referred as GHF and ZDF, respectively). …”
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    Assessment of the Forest Fire Risk and Its Indicating Significances in Zhaoqing City Based on Landsat Time-Series Images by Xia Zhou, Ji Yang, Kunlong Niu, Bishan Zou, Minjian Lu, Chongyang Wang, Jiayi Wei, Wei Liu, Chuanxun Yang, Haoling Huang

    Published 2023-02-01
    “…It was found that the high forest fire risk area was mainly distributed in the valley plains of Huaiji district, Fengkai district and Guangning district, the depressions of the Sihui district, and mountain-edge areas of Dinghu district and Gaoyao district, and accounted for 8.9% on 20 October but expanded to 19.89% on 7 December 2019. …”
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