Abstract. After confirming that impoundment of large reservoirs could cause earthquakes, studies on reservoir-triggered seismicity (RTS) have had a considerable scientific incentive. Most of the studies determined that the vertical load increase due to reservoir load, and the reduction of effective force due to the increase in pore pressure, can modify the stress field in the reservoir region, possibly triggering earthquakes. In addition, the RTS is conditioned by several factors such as pre-existing tectonic stresses, reservoir height/weight, area-specific geological and hydromechanical conditions, constructive interaction between the orientation of seismotectonic forces, and additional load caused by the reservoir. One of the major challenges in studying RTS is to identify and correlate the factors in the area of influence of the reservoir, capable of influencing the RTS process itself. A spatial seismicity-triggered reservoir database was created to facilitate the research in this field, based on the specifications of the national spatial data infrastructure (INDE), and to assemble data pertinent to the RTS study in the area of reservoirs. In this context, this work presents the procedures and results found in the data processing of seismotectonic factors (dam height, reservoir capacity, lithology, and seismicity) and compared first to the dams that triggered earthquakes and secondly to the Brazilian dam list. The list has been updated with four more cases, making a total of 30 cases. The results indicate that the occurrence of RTS increases significantly with dam height since dams less than 50 m high cause only 2 % of earthquakes while those higher than 100 m cause about 54 %. The reservoir volume also plays a role, and it was estimated that RTS occurrence requires a limiting minimum value of 1 × 10 - 4 km 3 . There was no clear correlation between the geology and geological provinces with RTS. The delayed response time of the reservoirs represents 43 % of the total; that is, almost half of them have hydraulic behavior. The highest magnitude, 4.2, was observed at a reservoir with a volume greater than 10 −3 km 3 . As a practical outcome, to assist the analysis by the general community, the web viewer RISBRA (Reservoir Induced Seismicity in Brazil) was developed to serve as an interactive platform for Reservoir-Triggered Seismicity Database (BDSDR) data.

中文翻译：

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巴西水库触发地震活动空间数据库和网站

摘要。在确认大型水库蓄水会引起地震后，水库触发地震活动（RTS）的研究有了相当大的科学动力。大多数研究表明，由于储层荷载引起的垂直荷载增加，以及由于孔隙压力增加引起的有效力降低，可以改变库区的应力场，可能引发地震。此外，RTS 受几个因素的制约，例如预先存在的构造应力、储层高度/重量、特定区域的地质和流体力学条件、地震构造力方向之间的建设性相互作用以及储层引起的附加载荷。研究 RTS 的主要挑战之一是识别和关联储层影响区域的因素，能够影响 RTS 过程本身。根据国家空间数据基础设施（INDE）的规范，建立了空间地震活动触发的储层数据库，以促进该领域的研究，并汇集与储层区域RTS研究相关的数据。在此背景下，这项工作介绍了在地震构造因素（大坝高度、水库容量、岩性和地震活动性）的数据处理中发现的程序和结果，并首先与引发地震的大坝进行了比较，其次与巴西大坝清单进行了比较。该列表已更新了四个案例，总共有 30 个案例。结果表明，RTS 的发生率随大坝高度的增加而显着增加，因为低于 50 m 的大坝仅引起 2% 的地震，而高于 100 m 的大坝引起约 54%。储层体积也有影响，据估计，RTS 发生需要的极限最小值为 1 × 10 - 4 km 3 。地质和地质省与RTS之间没有明显的相关性。蓄水池的延迟响应时间占总数的 43%；也就是说，其中几乎有一半具有水力行为。在体积大于10 -3 km 3 的水库中观察到最高震级4.2。作为实际成果，为了协助一般社区进行分析，开发了网络查看器 RISBRA（巴西水库诱发地震）作为水库触发地震数据库 (BDSDR) 数据的交互式平台。地质和地质省与RTS之间没有明显的相关性。蓄水池的延迟响应时间占总数的 43%；也就是说，其中几乎有一半具有水力行为。在体积大于10 -3 km 3 的水库中观察到最高震级4.2。作为实际成果，为了协助一般社区进行分析，开发了网络查看器 RISBRA（巴西水库诱发地震）作为水库触发地震数据库 (BDSDR) 数据的交互式平台。地质和地质省与RTS之间没有明显的相关性。蓄水池的延迟响应时间占总数的 43%；也就是说，其中几乎有一半具有水力行为。在体积大于10 -3 km 3 的水库中观察到最高震级4.2。作为实际成果，为了协助一般社区进行分析，开发了网络查看器 RISBRA（巴西水库诱发地震）作为水库触发地震数据库 (BDSDR) 数据的交互式平台。