厦门市陆地生态系统空气负离子服务能力评估

杨春艳; 马雯思; 张林波; 高艳妮; 贾振宇; 李付杰

doi:10.13198/j.issn.1001-6929.2019.06.02

厦门市陆地生态系统空气负离子服务能力评估

doi: 10.13198/j.issn.1001-6929.2019.06.02

杨春艳^{1, 2,},
马雯思^{1, 4},
张林波^3, ,,
高艳妮^{1, 2},
贾振宇^{1, 2},
李付杰^{1, 2}

1.
中国环境科学研究院, 国家环境保护区域生态过程与功能评估重点实验室, 北京 100012
2.
中国环境科学研究院, 环境基准与风险评估国家重点实验室, 北京 100012
3.
山东大学, 生态环境损害鉴定研究院, 山东青岛 266237
4.
中国科学院西北生态环境资源研究院, 冰冻圈科学国家重点实验室青藏高原冰冻圈观测研究站, 甘肃兰州 730000

基金项目:

国家重点研发计划项目 2016YFC0500205

国家自然科学基金青年科学基金项目 41501381

国家生态文明试验区（福建）项目

详细信息

作者简介:
杨春艳(1992-), 女, 四川平昌人, yangcy@craes.org.cn

通讯作者:
张林波(1969-), 男, 山东日照人, 研究员, 博士, 博导, 主要从事生态资产核算研究, zhanglb@craes.org.cn

中图分类号: X826
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- 被引次数: 0
出版历程
- 收稿日期: 2018-08-27
- 修回日期: 2019-05-13
- 刊出日期: 2019-12-25

Service Capacity of Negative Air Ions in the Terrestrial Ecosystem of Xiamen City

YANG Chunyan^{1, 2
,},
MA Wensi^{1, 4},
ZHANG Linbo^{3
, ,},
GAO Yanni^{1, 2},
JIA Zhenyu^{1, 2},
LI Fujie^{1, 2}

1.
State Environment Protection Key Laboratory of Regional Eco-Process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
2.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
3.
Institute of Eco-Environmental Forensics of Shandong University, Qingdao 266237, China
4.
Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryosphere Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

Funds:

National Key Research and Development Program of China 2016YFC0500205

National Natural Science Foundation of China 41501381

National Ecological Civilization Pilot Zone (Fujian) Program, China

摘要

摘要: 为探讨厦门市陆地生态系统负离子的服务能力及其影响因素，以生态系统产生的有益于人类身心健康的空气负离子个数为表征指标，改进了空气负离子服务评估方法，基于空气负离子监测数据计算了厦门市空气负离子服务功能量，并分析了厦门市空气负离子的时空变化规律及其影响因子.结果表明：厦门市2015年空气负离子服务功能量为1.37×10²⁵个，单位面积负离子服务功能量为0.8×10¹⁶个/m².从行政分区来看，同安区空气负离子服务功能量最大，约占厦门市总量的56.5%；从生态系统类型上看，森林生态系统空气负离子服务功能量最大，约占厦门市总量的86.6%.厦门市空气负离子日浓度存在明显的"波峰"与"波谷"，波峰主要分布01：00-07：00之间，波谷主要分布在12：00左右；厦门市空气负离子浓度存在明显的季节性变化特征，夏季生态系统空气负离子平均浓度为2 437个/cm³，约为春季的2倍；不同生态系统空气负离子浓度存在明显差异，如森林远大于草地、耕地等生态系统；对于大多数生态系统类型而言，空气负离子浓度主要受到温度和湿度的影响，表现为随着温度的升高而降低、随着湿度的升高而增加.研究显示，厦门市森林生态系统的空气负离子服务能力最强，乔木绿地空气负离子服务能力大于灌木、草本绿地，城市森林、乔木绿地面积越大，为人类提供的空气负离子服务越大.
- 空气负离子 /
- 服务功能量 /
- 浓度 /
- 影响因子 /
- 厦门市
Abstract: To explore the service capacity of negative air ions and the factors affecting it in Xiamen terrestrial ecosystems, this study took the data of air negative ions generated by the ecosystem that are beneficial to human physical and mental health as the indicator, improved the service evaluation method of negative air ions, based on negative air ion monitoring data, calculated their service function, and analyzed their spatiotemporal dynamic variations and influential factors. The results indicate that the service capacity of negative air ions in Xiamen City was 1.37×10²⁵ ions in 2015, and the service capacity distribution of negative air ions was 0.8×10¹⁶ ions/m². Tong'an contributed the largest proportion of negative air ions of any district within Xiamen City, with a rate of 56.5%. Forestland was the main ecosystem contributor of negative air ions in Xiamen City, with a rate of 86.6%. The daily concentration of negative air ions exhibited prominent peaks and valleys, with peaks primarily distributed from 01:00-07:00, and valleys distributed around 12:00. Seasonal change was significant:the summertime concentration of negative air ions was 2437 ions/cm³, which is twice that of the springtime level. The concentrations of negative air ions for different ecosystems were markedly different. Forests displayed higher concentrations than other ecosystems, such as grassland and farmland. The main factors affecting negative air ions were found to be temperature and humidity. Negative air ion concentration decreased with increasing temperature and increased with increasing humidity. This study revealed that the forest ecosystem has the strongest service capacity of negative air ions. In addition, the service capacity of arbor greenbelts is greater than that of shrub and herb greenbelts. In urban centers, the greater the area of forests and arbor greenbelts, the greater the service capacity of negative air ions.
- negative air ions /
- service capacity /
- concentration /
- impact factor /
- Xiamen City

HTML全文

图 1 2015年厦门市空气负离子监测站点分布

Figure 1. Distribution of negative air ion monitoring stations in Xiamen City in 2015

下载: 全尺寸图片幻灯片

图 2 2015年厦门市空气负离子服务能力空间分布

Figure 2. Distribution of negative air ion service capacity in Xiamen City in 2015

下载: 全尺寸图片幻灯片

图 3 2015年厦门市各行政区空气负离子服务功能量对比

Figure 3. Negative air ion service capacity of each district in Xiamen City in 2015

下载: 全尺寸图片幻灯片

图 4 2015年厦门市空气负离子日浓度与温度、湿度的变化趋势

Figure 4. Daily trend of negative air ions concentration, temperature and humidity in Xiamen City in 2015

下载: 全尺寸图片幻灯片

表 1 2015年厦门市监测站点空气负离子浓度

Table 1. Negative air ion concentrations from air ion monitoring stations in Xiamen City in 2015

监测站点位置	生态系统类型	空气负离子浓度/(个/cm³)
监测站点位置	生态系统类型	春季	夏季
河溪林场	针叶林	2 000	5 545
北辰山	阔叶林	1 755	3 758
翔安区田中央村	针阔混交林	1 865	3 785
天竺山	乔木绿地	1 866	3 732
狐尾山	灌木绿地	1 255	2 510
南湖公园	草本绿地	908	1 816
白鹭洲	水体	1 216	2 432
鼓浪屿	农田	248	497

下载: 导出CSV

表 2 2015年厦门市各生态系统及单位面积空气负离子服务功能量

Table 2. Negative air ion service capacity of different ecosystem types and its concentration per square meter in Xiamen City in 2015

生态系统类型	空气负离子功能量/(10²²个)	单位面积空气负离子功能量/(10¹⁶个/m²)
针叶林	852	3.17
阔叶林	193	2.17
针阔混交林	137	2.22
乔木绿地	161	0.88
灌木绿地	4	0.20
草本绿地	2	0.09
水体	7	0.09
农田	4	0.02

下载: 导出CSV

表 3 2015年厦门市空气负离子浓度与温度、湿度、风速、太阳辐射量的相关性

Table 3. Correlation analysis of negative air ion concentration with temperature, humidity, wind speed, and solar radiation in Xiamen City in 2015

影响因素	统计值	针叶林	阔叶林	针阔混交林	水体	农田	乔木绿地	灌木绿地	草本绿地
温度	R	-0.430^**	0.523^**	-0.873^**	0.111	-0.371^**	-0.744^**	-0.431^**	-0.471^**
温度	P	0.002	0	0	0.452	0.009	0	0.002	0.001
湿度	R	0.257	-0.483^**	0.705^**	-0.162	0.389^**	0.385^**	0.513^**	0.479^**
湿度	P	0.078	0.001	0	0.271	0.006	0.007	0	0.001
风速	R	-0.186	0.288^*	-0.572^**	-0.024	-0.275	-0.435^**	-0.244	-0.617^**
风速	P	0.206	0.047	0	0.870	0.058	0.002	0.094	0
太阳辐射量	R	-0.459^**	0.258	-0.553^**	0.223	-0.175	-0.380^**	-0.194	-0.338^*
太阳辐射量	P	0.001	0.076	0	0.128	0.235	0.008	0.186	0.019
注：*表示在P < 0.01上显著；表示在P < 0.05上显著.

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