2010-2020年海南省五大自然保护地空气负氧离子浓度与环境因素评价
Evaluation of Negative Oxygen Ion Concentration and Environmental Factors in Five Natural Protected Areas of Hainan Province from 2010 to 2020
李欣起 1陈乔春 1李逸轩 1刘司琪 1王韵欣 1王克廷 1肖莎1
作者信息
- 1. 海南医学院公共卫生学院/海南医学院Heinz Mehlhorn院士工作站,海南 海口 571199
- 折叠
摘要
为探讨海南省五大自然保护地负氧离子浓度与环境因素的相关性,为我国热带地区森林公园的开发利用提供理论参考,利用海南省生态环境厅及各市县政府环境质量公报数据,分析 2010-2020 年间负氧离子浓度与其所在市县的空气质量变化情况,并进行相关性分析.结果表明,其间年均负氧离子浓度呈上升趋势,空气污染物PM2.5、PM10、O3、SO2、NO2、CO等指标总体呈下降趋势;五指山国家级自然保护区负氧离子浓度与SO2 呈现正相关(P＜0.01);五大自然保护地空气中负氧离子浓度整体水平较高,空气质量等级达到一级;负氧离子浓度总体呈现出夏秋季高、春冬季低的季节特征.
Abstract
This study was to explore the correlation between negative oxygen ion concentration and envi-ronmental factors in five major natural protected areas in Hainan Province,and provide theoretical refer-ences for the development and utilization of forest parks in tropical areas in China.The data from the De-partment of Ecology and Environment of Hainan Province and the environmental quality bulletins of mu-nicipal and county governments was used to analyze the changes of negative oxygen ion concentrations in the five major forest parks and the air quality of the cities and counties in which the parks were located from 2010 to 2020.Correlation analysis was conducted.The results showed that the annual average nega-tive oxygen ion concentration showed an increasing trend,and the air pollutants PM2.5,PM10,O3,SO2,NO2,CO and other indicators showed a general decreasing trend.The concentration of negative oxygen i-ons in Wuzhishan National Nature Reserve was positively correlated with SO2(P＜0.01).The overall level of negative oxygen ion concentration in the five major forest parks was good,and the air quality reached the first level.The overall negative oxygen ion concentration showed the seasonal characteristics of high in summer and autumn and low in spring and winter.
关键词
森林公园/负氧离子浓度/空气质量/空气污染物/海南Key words
forest park/negative oxygen ion concentration/air quality/air pollutants/Hainan引用本文复制引用
基金项目
国家自然科学基金(82060603)
海南省自然科学基金高层次人才项目(820RC648)
海南省大学生校级创新创业项目(X202111810101)
出版年
2024
NETL
NSTL
万方数据