PELE

PELE数据集是由新西兰梅西大学农业与环境研究所的火山风险解决方案团队创建，用于模拟和测量大规模火山碎屑流实验。该数据集包含124公斤的天然火山颗粒，通过控制重力坍塌产生实验性火山碎屑密度流。数据集创建过程中使用了高速和高分辨率摄像机以及热红外摄像机来捕捉流动过程，同时收集了流动速度、温度、固体质量分数和颗粒大小分布等数据。该数据集主要应用于火山碎屑流的数值模型基准测试，旨在解决火山碎屑流模拟中的复杂流动结构和传输行为问题。

The PELE dataset was created by the Volcanic Risk Solutions team from the Institute of Agriculture and Environment, Massey University, New Zealand, for simulating and measuring large-scale pyroclastic flow experiments. This dataset contains 124 kg of natural volcanic particles, with experimental pyroclastic density currents generated via controlled gravitational collapse of the particles. During the dataset's development, high-speed and high-resolution cameras as well as thermal infrared cameras were used to capture the flow processes, while data including flow velocity, temperature, solid mass fraction and particle size distribution were collected. This dataset is primarily utilized for benchmarking numerical models of pyroclastic flows, aiming to address the complex flow structures and transport behaviors in pyroclastic flow simulations.