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  • Author(s): Da-Yi Chen, Ting-Li Lin, Hsin-Chih Hsu, Yi-Chen Hsu, and Nai-Chi Hsiao
  • DOI: 10.3319/TAO.2018.12.23.02
  • Keywords: Earthquake Early Warning 0206 Hualien Earthquake Effective Epicenter
  • Citation: Chen, D.-Y., T.-L. Lin, H.-C. Hsu, Y.-C. Hsu, and N.-C. Hsiao, 2019: An approach to improve the performance of the earthquake early warning system for the 2018 Hualien earthquake in Taiwan. Terr. Atmos. Ocean. Sci., 30, 423-433, doi: 10.3319/ TAO.2018.12.23.02

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  • Author(s): Ya-Shien Lin, Ray Y. Chuang, Jiun-Yee Yen, Yi-Chin Chen, Yu-Ting Kuo, Bo-Lin Wu, Shao-Yi Huang, and Ci-Jian Yang
  • DOI: 10.3319/TAO.2018.12.09.02
  • Keywords: UAV Structure from Motion Multi View Stereo Orthoimage Surface ruptures
  • Citation: Lin, Y.-S., R. Y. Chuang, J.-Y. Yen, Y.-C. Chen, Y.-T. Kuo, B.-L. Wu, S.-Y. Huang, and C.-J. Yang, 2019: Mapping surface breakages of the 2018 Hualien earthquake by using UAS photogrammetry. Terr. Atmos. Ocean. Sci., 30, 351-366, doi: 10.3319/ TAO.2018.12.09.02

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  • Author(s): Kuo-Hsin Tseng, Chung-Yen Kuo, Min-Hui Lo, C. K. Shum, Md Mizanur Rahman, Yuanyuan Jia, Ting-Yi Yang, and Po-Hung Shih
  • DOI: 10.3319/TAO.2018.11.15.04
  • Keywords: Bangladesh Flood Remote sensing SRTM Water volume change
  • Citation: Tseng, K.-H., C.-Y. Kuo, M.-H. Lo, C. K. Shum, M. M. Rahman, Y. Jia, T.-Y. Yang, and P.-H. Shih, 2019: Using MODIS/Terra and Landsat imageries to improve surface water quantification in Sylhet, Bangladesh. Terr. Atmos. Ocean. Sci., 30, 111-126, doi: 10.3319/TAO.2018.11.15.04

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  • Author(s): Po-Fei Chen, Yen-Ling Chen, Po-Li Su, Yi-De Peng, and Li-Fan Chen
  • DOI: 10.3319/TAO.2018.11.15.02
  • Keywords: Immediate foreshocks b values Seismicity rates
  • Citation: Chen, P.-F., Y.-L. Chen, P.-L. Su, Y.-D. Peng, and L.-F. Chen, 2019: Understanding the 6 February 2018, Hualien earthquake sequence through catalog compilation. Terr. Atmos. Ocean. Sci., 30, 399-409, doi: 10.3319/ TAO.2018.11.15.02

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  • Author(s): Hao Zhou, Chuang Xu, Zhicai Luo, Zebing Zhou, Bo Zhong, and Jiakuan Wan
  • DOI: 10.3319/TAO.2018.11.02.01
  • Keywords: Gravity field model GRACE GOCE Parametric covariance approach
  • Citation: Zhou, H., C. Xu, Z. Luo, Z. Zhou, B. Zhong, and J. Wan, 2019: HUST-GOGRA2018s: A new gravity field model derived from the combination of GRACE and GOCE data. Terr. Atmos. Ocean. Sci., 30, 97-109, doi: 10.3319/TAO.2018.11.02.01