侯雪伟,吕鑫,魏蕾.正交与斜交旋转主成分分析法在气象因子影响细颗粒物研究中的应用[J].环境科学学报,2021,41(7):2598-2606
正交与斜交旋转主成分分析法在气象因子影响细颗粒物研究中的应用
- Application of orthogonal and oblique rotation principal component analysis in the influence of meteorological factors on fine particles
- 基金项目：国家重点研发计划重点专项（No.2016YFA0602003）；国家自然科学基金（No.41605096，41705119）
- 侯雪伟
- 南京信息工程大学大气物理学院, 气象灾害预报预警与评估协同创新中心, 南京 210044
- 吕鑫
- 南京信息工程大学大气物理学院, 气象灾害预报预警与评估协同创新中心, 南京 210044
- 魏蕾
- 北京市人工影响天气办公室, 北京 100089
- 摘要：基于cost733模型及大量再分析资料、观测资料，对2013—2019年冬季海平面气压及近地面风场进行正交和斜交旋转主成分分析，讨论这两种分型方法及不同分型数量下我国天气形势、降水及细颗粒物（PM2.5）的差异.结果表明，斜交旋转主成分分析法相比于正交方法，划分的天气形势更具代表性，其中，划分为4类天气形势最具代表性，即西伯利亚冷高压影响范围最广、出现频率最高的Type1；西伯利亚冷高压强度最弱、出现频率最低、重度污染站点比例最大、污染最重的Type2；京津冀等地容易出现锋面天气、降水强度最大、清洁站点比例最大、污染最轻的Type3；受东北部深厚冷低压影响、重污染较少的Type 4.
- Abstract：Based on cost733 model, reanalysis data and observation data, the sea level pressure and near surface wind field in winter from 2013 to 2019 are analyzed by orthogonal and oblique rotation principal component methods in this study. The differences of weather situation, precipitation and fine particles (PM2.5) in China were discussed. The results show that the weather classification under the oblique method is more representative than under the orthogonal method, and four types of weather situations are identified. The four types are Type 1 with the highest occurrence frequency and the widest range of Siberian cold high; Type 2 with the lowest occurrence frequency, weakest Siberian cold high, the largest number of heavy pollution sites and the most serious pollution; Type 3 with the largest precipitation, the largest number of clean stations, and the lightest pollution; Type 4 with deep cold cyclone located in Northeast China and the least number of heavy pollutions.
