描述瑞典极端地质电场事件的分布特征

V. Lanabere, Andrew P. Dimmock, L. Rosenqvist, A. Viljanen, L. Juusola, A. Johlander
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摘要

瑞典曾报告过几次与强空间天气事件期间产生的地磁感应电流(GIC)有关的对变压器和输电线路的影响。地磁感应电流由地电场 (E) 驱动,其强度取决于各种因素,包括岩性导电率和地球磁场变化率。本研究的目的是对瑞典六个不同纬度地区的 E 幅值进行极值分析(EVA),并计算出 10 年、50 年和 100 年内可能观测到的最大 E 值。我们分析了瑞典的 10 秒 E 数据,这些数据是从一个一维模型中获得的。该模型结合了来自 IMAGE 网络的 10 秒钟地磁测量数据和从芬诺斯坎迪亚地区三维电导图中提取的瑞典垂直地球地面电导率。极端 E 事件往往在地磁扰动(亚暴和地磁暴)周围集群发生。因此,我们采用了两种不同的方法对数据进行去簇处理。去簇后,对超过 99.5 百分位数的剩余极端事件拟合广义帕累托(GP)分布。EVA 表明,GP 分布的形状参数取决于纬度。这意味着在较高的地理纬度(64.52-68.02°N),该分布比在较低纬度(58.26-62.25°N)更快地趋于零。因此,瑞典中部地区 100 年内的预期最大|E|在 4.0-8.5 V/km 之间,而在较高纬度地区,则在 2.0-2.5 V/km 之间,与 2003 年 10 月万圣节事件期间的模拟地电场值相似。特别是在北纬 60.50°附近,极端事件的分布呈现出最严重的尾部。当我们额外考虑电导率的影响时,北纬 60.50°附近的瑞典西部地区显示出 100 年中最大的预期最大值,约为 8.5 V/km。这比该纬度的最大模型 |E| 大三倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing the distribution of extreme geoelectric field events in Sweden
Historically, Sweden has reported several impacts on transformers and transmission lines related to geomagnetically induced currents (GICs) that develop during strong space weather events. GICs are driven by the geoelectric field (E), and their intensity depends on various factors, including the lithology conductivity and the rate of change of the Earth's magnetic field. The purpose of this study is to perform an extreme value analysis (EVA) of the E magnitude at six different latitudes in Sweden and to express the maximum |E| that might be observed in 10, 50 and 100 years. We analyzed 10-second E data in Sweden, which was obtained from a 1-D model. This model incorporates 10-second geomagnetic measurements from the IMAGE network and the vertical Earth's ground electrical conductivity in Sweden, extracted from a 3-D conductance map for the Fennoscandian region. Extreme E events tend to occur in clusters around geomagnetic disturbances (substorms and geomagnetic storms). Therefore, we applied two different methods to decluster the data. After declustering, Generalized Pareto (GP) distributions were fitted to the remaining extreme events that exceed the 99.5th percentile. The EVA indicates that the shape parameter of the GP distribution depends on latitude. This implies that at higher geographic latitudes (64.52-68.02°N) the distribution decreases faster toward zero than at lower latitudes (58.26-62.25°N). As a result the expected maximum |E| in 100-years in central Sweden ranges between 4.0-8.5 V/km, while at higher latitudes, it ranges between 2.0-2.5 V/km similar to the modeled geoelectric field values during the Halloween event in October 2003. In particular, around 60.50°N the distribution of extreme events exhibits the heaviest tail. When we additionally consider the effect of conductivity, the region of west Sweden around 60.50°N exhibits the largest expected maximum in 100-years with a value around 8.5 V/km. This is three times larger the maximum modeled |E| at that latitude.
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