Macroseismic intensities play a key role in the engineering, seismological, and loss modeling communities. However, at present, there is an increasing demand for instrumental data‐based loss estimations that require statistical relationships between intensities and strong‐motion data. In New Zealand, there was an urgent need to update the ground motion to intensity conversion equation (GMICE) from 2007, developed prior to a large number of recent earthquakes including the 2010–2011 Canterbury and 2016 Kaikōura earthquake sequences. Two main factors now provide us with the opportunity to update New Zealand’s GMICE: (1) recent publication of New Zealand’s Strong‐Motion Database, corresponding to 276 New Zealand earthquakes with magnitudes 3.5–7.8 and 4–185 km depths; and (2) recent generation of a community intensity database from GeoNet’s “Felt Classic” (2004–2016) and “Felt Detailed” (2016–2019) questionnaires, corresponding to around 930,000 individual reports. Ground‐motion data types analyzed are peak ground velocity (PGV) and peak ground acceleration (PGA). The intensity database contains 67,572 felt reports from 917 earthquakes, with magnitudes 3.5–8.1, and 1797 recordings from 247 strong‐motion stations (SMSs), with hypocentral distances of 5–345 km. Different regression analyses were tested, and the bilinear regression of binned mean strong‐motion recordings for 0.5 modified Mercalli intensity bins was selected as the most appropriate. Total least squares regression was chosen for reversibility in the conversions. PGV provided the best‐fitting results, with lower standard deviations. The influence of hypocentral distance, earthquake magnitude, and the site effects of local geology, represented by the mean shear‐wave velocity in the first 30 m depth, on the residuals was also explored. A regional correction factor for New Zealand, suitable for adjustment of global relationships, has also been estimated.

中文翻译：

---

新西兰的新地面运动到强度转换方程式（GMICE）

宏观地震烈度在工程，地震学和损失建模领域发挥着关键作用。但是，目前，对基于仪器数据的损失估计的需求不断增加，这些估计需要强度和强运动数据之间的统计关系。在新西兰，迫切需要从2007年开始将地震动转换为强度转换方程（GMICE），该方程是在近期发生大量地震（包括2010-2011年坎特伯雷地震和2016年Kaikōura地震序列）之前开发的。现在，有两个主要因素为我们提供了更新新西兰GMICE的机会：（1）新西兰“强运动数据库”的最新发布，对应于276次新西兰地震，震级为3.5–7.8和4–185 km。（2）从GeoNet的“感觉经典”（2004-2016年）和“感觉详细”（2016-2019年）调查表中生成的最近的社区强度数据库，对应于大约930,000个个人报告。分析的地面运动数据类型为峰值地面速度（PGV）和峰值地面加速度（PGA）。强度数据库包含来自917次地震的67,572份感觉报告，震级为3.5-8.1，以及来自247个强震台（SMS）的1797条记录，震中距为5-345公里。测试了不同的回归分析，并且最合适的是选择0.5个修正的Mercalli强度仓的装箱平均强运动记录的双线性回归。选择总最小二乘回归是为了实现转换的可逆性。PGV提供了最合适的结果，标准偏差更低。还研究了震源距离，地震烈度和局部地质的现场效应（以前30 m深度的平均剪切波速度表示）对残差的影响。还估计了适合调整全球关系的新西兰区域校正系数。