There are different definitions for multivariate records which are based on component-wise approach. In this paper, a new approach based on the notion of depth is employed for introducing a depth-based record as a different multivariate record. This record is more in line with univariate records, has Markovian property, ascertained marginal and joint distributions, and some other exclusive features compared to other records. The depth-based procedure can recognize records satisfactorily. The performance of which is evaluated through studying the drought in Kermanshah, Iran, and the air pollution in Leeds, England. The outputs confirm the suitable potency of depth-based record procedure.

基于组件方法的多变量记录有不同的定义。在本文中，一种基于深度概念的新方法用于将基于深度的记录引入为不同的多元记录。与其他记录相比，该记录更符合单变量记录，具有马尔可夫性质，确定的边际和联合分布，以及其他一些独有的特征。基于深度的过程可以令人满意地识别记录。其性能是通过研究伊朗克尔曼沙赫的干旱和英国利兹的空气污染来评估的。输出确认了基于深度的记录程序的适当效力。