Particulate matter (PM) has been occurring regularly during the dry season in the upper north of Thailand including Lamphun Province that might be influenced by various factors including climatologic and other pollutants. This paper aims to investigate the climatologic and gaseous factors influencing the occurrence of PM₁₀ concentration using Pollution Control Department (PCD) data. The secondary data of 2009 to 2017 obtained from the PCD was used for analysis. We used descriptive statistics, Pearson’s correlation coefficient, multiple regression and graphic presentation using R program (R packages of ‘open air’ and ‘ncdf4’) and Microsoft Excel Spreadsheet®. In addition, the periodic measurement of PM_2.5 and PM₁₀ were investigated to determine the ratio of PM_2.5/PM₁₀. The results indicated that haze episodes (daily PM₁₀ concentration always over the PCD standard) normally occur during the dry season from February to April. The maximum concentration was always found in March. The PM₁₀ concentration was negatively associated with relative humidity and temperature while the PM₁₀ concentration showed a strongly positive association with CO and NO₂ concentration with correlation values of 0.70 and 0.57, respectively. Furthermore, we found CO and PM₁₀ concentration was associated with ozone concentration. This finding will benefit local communities and the public health sector to provide a warning system for preparation and response plans to react to PM₁₀ episodes in their responsible areas.

在泰国北部的旱季，包括南奔府在内的旱季，颗粒物 (PM) 经常出现，可能受到包括气候和其他污染物在内的各种因素的影响。本文旨在利用污染控制部门 (PCD) 数据调查影响 PM ₁₀浓度发生的气候和气体因素。使用从 PCD 获得的 2009 年至 2017 年的二级数据进行分析。我们使用 R 程序（“露天”和“ncdf4”的 R 包）和 Microsoft Excel 电子表格® 使用描述性统计、皮尔逊相关系数、多元回归和图形表示。此外，对 PM _2.5和 PM ₁₀的定期测量进行了调查，以确定 PM 的比率_2.5 / 下午_{10 点}。结果表明，雾霾事件（每日 PM ₁₀浓度始终超过 PCD 标准）通常发生在 2 月至 4 月的旱季。最高浓度总是在三月份。PM ₁₀浓度与相对湿度和温度呈负相关，而PM ₁₀浓度与CO 和NO ₂浓度呈强正相关，相关值分别为0.70 和0.57。此外，我们还发现了 CO 和 PM ₁₀浓度与臭氧浓度有关。这一发现将有利于当地社区和公共卫生部门，为准备和响应计划提供一个预警系统，以应对其负责区域的PM ₁₀事件。