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2017 , Vol. 0 >Issue 6: 131 - 136

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2017.06.023

科学研究

清源山风景区大气颗粒物浓度变化特征分析

  • 王敏华 ,
  • 傅伟聪 ,
  • 黄淑萍 ,
  • 朱志鹏 ,
  • 陈梓茹 ,
  • 董建文
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  • 1.福建农林大学 艺术学院&园林学院,福州 350002
    2.国家林业局森林公园工程技术研究中心,福州 350002
王敏华(1977-),女,福建福州人,讲师,硕士,研究方向为为美丽城镇景观规划设计。

收稿日期: 2017-11-29

  修回日期: 2017-12-07

  网络出版日期: 2020-09-28

基金资助

福建省林业科学研究项目“森林公园风景游憩林生态功能评价指标体系”(KLB17001A);国家林业公益性行业科研专项美丽城镇森林景观的构建技术研究与示范(201404301);国家林业公益性行业科研专项森林公园绿色名录与森林风景资源培育技术(201404315)

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Variation and Characteristics of Atmospheric Particulates in Qingyuan Mountain Scenic Spots

  • Minhua WANG ,
  • Weicong FU ,
  • Shuping HUANG ,
  • Zhipeng ZHU ,
  • Ziru CHEN ,
  • Jianwen DONG
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  • 1. College of Landscape and Architecture,Fujian Agriculture and Forestry University Fuzhou,Fujian 350002,China
    2. State Forestry Administration National Forest Park Engineering Research Center,Fuzhou,Fujian 350002,China

Received date: 2017-11-29

  Revised date: 2017-12-07

  Online published: 2020-09-28

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摘要

基于2015—2016年的监测数据,分析福建省泉州清源山大气颗粒物(PMs)浓度的变化规律,探究大气污染物(SO2,NO2,CO,O3)及气象因子(风速、温度、相对湿度)对PMs的影响。结果表明:1)清源山空气质量处于较高水平;2)大气颗粒物浓度年变化规律呈春冬季高,夏秋低的变化特征;3)不同季节、不同月份、不同污染程度及不同天气条件下的日变化特征变现不同;4)气象因子、其它污染物浓度与大气颗粒物浓度具有很强的相关性。研究结果可作为景区引导旅客游览以及管理建设提供参考。

关键词： 低山丘陵区; 大气颗粒物; 大气污染物; 气象因子

本文引用格式

王敏华 , 傅伟聪 , 黄淑萍 , 朱志鹏 , 陈梓茹 , 董建文 . 清源山风景区大气颗粒物浓度变化特征分析[J]. 林草资源研究, 2017 , 0(6) : 131 -136 . DOI: 10.13466/j.cnki.lyzygl.2017.06.023

Abstract

This study analyzed the characteristics of atmospheric particulate matters (PMs) and their influencing factors (e.g. other pollutants: SO2,NO2,CO,O3 and meteorological factors:wind speed,temperature,relative humidity) during 2015—2016 (2 years). The result showed that 1) The air quality of Qingyuan Mountain Scenic Area was at a high level;2) The annual variation of PMs concentration was showed temporal,high in spring and winter,low in summer and autumn;3) The daily variations showed different characteristics in different seasons,different months,and the days with different levels of pollution;4) Meteorological factors,other pollutant concentrations and PMs concentration have a strong correlation. The results can be used as a data base for managers to guide tourists and management.

Key words： hilly area; atmospheric particulate matter; air pollutant; meteorological factor; Quanzhou

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