全面禁止核试验条约（CTBT）科学技术大会（SnT）的科学议程和地震事件性质识别研究进展

全面禁止核试验条约组织（Comprehensive Nuclear-Test-Ban Treaty Organization，CTBTO）科学技术大会（Science and Technology Conference，SnT）致力于推进禁核试的科技进步，依靠科技创新来加强《全面禁止核试验条约》（Comprehensive Nuclear-Test-Ban Treaty，CTBT）的条约核查制度能力，加快条约生效进程。鉴于地震学是禁核试监测的重要手段以及SnT大会的科学进展有助于检视地震科技的发展，本文系统分析了SnT大会的科学议题设置以及SnT大会中地震事件性质识别等研究进展。分析表明，SnT大会主题中的 “地球复杂系统” 和 “传感器与网络技术” ，以及禁核试监测手段中的地震学手段更受关注。事件性质识别研究始终是与CTBT相关的地震学的核心问题，其在朝鲜系列核试验事件的应用研究也同样是关注的焦点问题，而深度学习和机器学习等新技术在事件性质识别研究中展示了较快的发展趋势。 

Scientific agenda and advances in seismic event discrimination research at the CTBT Science and Technology Conference

Science and Technology Conference (SnT) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) is committed to advancing the scientific and technological progress of the Comprehensive Nuclear-Test-Ban Treaty (CTBT), relying on scientific and technological innovation to strengthen the treaty verification system capabilities of CTBT and accelerating the progress of its entry into force. As seismology is an important means for nuclear-test-ban monitoring, and the scientific advances of the SnT conference is helpful to review the development of earthquake science and technology, this paper systematically analyzes the scientific topic setting and the advances of seismic event discrimination research in the SnT conference. The analysis showed that the themes of “the earth as a complex system” and “advances in sensors, networks and processing”, as well as the seismological approaches of the nuclear-test-ban monitoring, attracted more attention. Seismic event discrimination remains a critical CTBT-related seismology problem, and the same is the focus of attention in the applied research on the North Korean nuclear test series, while new technologies such as deep learning and machine learning have shown a rapid development trend in event discrimination research.