北京海淀区绿色空间PM2.5滞尘服务模拟

doi:10.13287/j.1001-9332.201608.001

应用生态学报 ›› 2016, Vol. 27 ›› Issue (8): 2580-2586.doi: 10.13287/j.1001-9332.201608.001

北京海淀区绿色空间PM_2.5滞尘服务模拟

刘文平¹, 宇振荣^2*

¹华中农业大学园艺林学学院, 武汉 430070;
²中国农业大学资源与环境学院, 北京 100193

收稿日期:2015-12-01 发布日期:2016-08-18
通讯作者: * E-mail: yuzhr@cau.edu.cn
作者简介:刘文平,男,1987年生,博士,讲师.主要从事地景规划与景观服务研究.E-mail:liuwenping@mail.hzau.edu.cn
基金资助:
本文由国家自然科学基金项目(51508218)、中央高校基本科研业务费专项(2662015QC025,2662015BQ010)和国家科技支撑计划项目(2012BAJ24B05)资助

Simulation on PM_2.5 detention service of green space in Haidian District, Beijing, China.

LIU Wen-ping¹, YU Zhen-rong^2*

¹College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China;
²College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China

Received:2015-12-01 Published:2016-08-18
Contact: * E-mail: yuzhr@cau.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (51508218), the Fundamental Research Funds for the Central Universities (2662015QC025, 2662015BQ010) and National Sci-Tech Support Plan (2012BAJ24B05).

摘要/Abstract

摘要： 绿色空间能够有效吸附空气中的颗粒悬浮物,具有极其重要的PM_2.5滞尘作用.本研究基于植被的PM_2.5滞尘机理,提出了绿色空间的滞尘服务量化方法,并对北京市海淀区绿色空间的PM_2.5单日累积滞尘量,以及不同景观类型冬季、夏季和年滞尘总量进行了空间量化和对比研究.结果表明:海淀区绿色空间冬季的滞尘服务频率和最大单日滞尘量均低于夏季.全年来看,海淀区西部山林景观平均滞尘服务值最高;北部平原区由零散的林地斑块和农田斑块构成的田园景观年滞尘服务总量则最大;而南部城区除几个零星的公园绿地斑块外,大部分区域的滞尘服务是全区的最低水平.PM_2.5滞尘服务模型能够快速定量化绿色空间的滞尘量及其空间分布,对城市绿化建设及PM_2.5大气污染治理具有重要作用.

Abstract: Green space plays an important role in reducing PM_2.5, since it can efficiently absorb suspended particles in the air. A quantificational method of dust detention service of green space was proposed in this study, based on the mechanism of PM_2.5 reduction by plant. Daily, summer, winter and whole year cumulative dust amounts reduced by green space with different landscape types of Haidian District, Beijing, were quantified. The results showed that both of dust reduction frequency and daily cumulative dust amount in winter were considerably lower than those in summer. Mountain woodlands in the west of Haidian District provided the highest average PM_2.5 reduction service, and the fragmented agricultural and forest landscapes in the northern plains provided the highest total dust detention service, while the southern area had the lowest dust detention service except for several parks. PM_2.5 detention service model was very useful to quickly quantify how much dust could be reduced by green space and where were these services, which was very important for the development of urban green space and improvement of air quality.

刘文平, 宇振荣. 北京海淀区绿色空间PM_2.5滞尘服务模拟[J]. 应用生态学报, 2016, 27(8): 2580-2586.

LIU Wen-ping, YU Zhen-rong. Simulation on PM_2.5 detention service of green space in Haidian District, Beijing, China.[J]. Chinese Journal of Applied Ecology, 2016, 27(8): 2580-2586.

参考文献

[1] Nowak DJ, Hirabayashi S, Bodine A, et al. Modeled PM_2.5 removal by trees in ten US cities and associated health effects. Environmental Pollution, 2013, 178: 395-402
[2] Rushdi AI, Al-Mutlaq KF, Al-Otaibi M, et al. Air quality and elemental enrichment factors of aerosol particulate matter in Riyadh City, Saudi Arabia. Arabian Journal of Geosciences, 2013, 6: 585-599
[3] Yang J (杨佳), Wang H-X (王会霞), Xie B-Z (谢滨泽), et al. Accumulation of particulate matter on leaves of nine urban greening plant species with different micromorphological structures in Beijing. Research of Environmental Sciences (环境科学研究), 2015, 28(3): 384-392 (in Chinese)
[4] Harrison RM, Yin J. Particulate matter in the atmosphere: Which particle properties are important for its effects on health? Science of the Total Environment, 2000, 249: 85-101
[5] Brook RD, Rajagopalan S, Pope CAI, et al. Particulate matter air pollution and cardiovascular disease an update to the scientific statement from the American Heart Association. Circulation, 2010, 121: 2331-2378
[6] Freer-Smith PH, El-Khatib AA, Taylor G. Capture of particulate pollution by trees: A comparison of species typical of semi-arid areas (Ficus nitida and Eucalyptus globulus) with European and north American species. Water, Air and Soil Pollution, 2004, 155: 173-187
[7] Guo W (郭伟), Shentu Y-J (申屠雅瑾), Zheng S-Q (郑述强), et al. Research advances on mechanisms and rules of dust retention of the urban green areas. Ecology and Environmental Sciences (生态环境学报), 2010, 19(6): 1465-1470 (in Chinese)
[8] Tallis M, Taylor G, Sinnett D, et al. Estimating the removal of atmospheric particulate pollution by the urban tree canopy of London, under current and future environments. Landscape and Urban Planning, 2011, 103: 129-138
[9] Wang J-H (王建辉), Liu Y-Q (刘奕清), Zou M (邹敏). Dust detaining effect of main urban vegetation in Yongchuan, Chongqing. Chinese Journal of Environmental Engineering (环境工程学报), 2013, 7(3): 1079-1084 (in Chinese)
[10] Liao L-T (廖莉团), Su X (苏欣), Li X-L (李小龙), et al. Review on the purification effects of urban landscape plants and factors affecting detaining dust. Forest Engineering (森林工程), 2014, 30(2): 21-24 (in Chinese)
[11] Beckett KP, Freer-Smith PH, Taylor G. Urban woodlands: Their role in reducing the effects of particulate pollution. Environmental Pollution, 1998, 99: 347-360
[12] Chai Y-X (柴一新), Zhu N (祝宁), Han H-J (韩焕金). Dust removal effect of urban tree species in Harbin. Chinese Journal of Applied Ecology (应用生态学报), 2002, 13(9): 1121-1126 (in Chinese)
[13] Wu Z-P (吴志萍), Wang C (王成), Hou X-J (侯晓静), et al. Variation of air PM_2.5 concentration in six urban green lands. Journal of Anhui Agricultural University (安徽农业大学学报), 2008, 35(4): 494-498 (in Chinese)
[14] Wang L (王蕾), Ha S (哈斯), Liu L-Y (刘连友), et al. Effects of weather condition in spring on particulates density on conifers leaves in Beijing. Chinese Journal of Ecology (生态学杂志), 2006, 25(8): 998-1002 (in Chinese)
[15] Mcdonald AG, Bealey WJ, Fowler D, et al. Quantifying the effect of urban tree planting on concentrations and depositions of PM₁₀ in two UK conurbations. Atmosphe-ric Environment, 2007, 41: 8455-8467
[16] Gao J-H (高金晖),Wang D-M (王冬梅), Zhao L (赵亮), et al. Airborne dust detainment by different plant leaves: Taking Beijing as an example. Journal of Beijing Forestry University (北京林业大学学报), 2007, 29(2): 94-99 (in Chinese)
[17] Su Z-F (粟志峰), Liu Y (刘艳), Peng Q-F (彭倩芳). Study on dust detention functions of the different greenland. Arid Environmental Monitoring (干旱环境监测), 2002, 16(3): 162-163 (in Chinese)
[18] Zhang X-X (张新献), Gu R-Z (古润泽), Chen Z-X (陈自新), et al. Dust removal by green areas in the residential quarters of Beijing. Journal of Beijing Fores-try University (北京林业大学学报), 1997, 19(4): 14-19 (in Chinese)
[19] Yang S-J (杨士军), Luo S-C (罗峙淳), Li K-H (李科煌). A preliminary research on dust intercepting abi-lities of different plants. Shanghai Environmental Sciences (上海环境科学), 2005, 24(1): 43-46 (in Chinese)
[20] Sun P-S (孙鹏森), Liu S-R (刘世荣), Liu J-T (刘京涛), et al. Derivation and validation of leaf area index maps using NDVI data of different resolution sate-llite imageries. Acta Ecologica Sinica (生态学报), 2006, 26(11): 3826-3834 (in Chinese)
[21] Wang J, Endreny TA, Nowak DJ. Mechanistic simulation of tree effects in an urban water balance model. Journal of the American Water Resources Association, 2008, 44: 75-85
[22] Liu WP, Holst J, Yu ZR. Thresholds of landscape change: A new tool of social-economic development for green infrastructure management. Landscape Ecology, 2014, 29: 729-743
[23] Li Y-J (李永杰). Study on the Ecological Benefit of Beijing City about Common Greenery Tree. Master Thesis. Baoding: Agricultural University of Hebei, 2007 (in Chinese)
[24] Liu H-M (刘慧民),Wang D-Q (王大庆), Che Y-S (车艳双), et al. Ecological effect of street greening in Harbin City. Chinese Journal of Ecology (生态学杂志), 2008, 27(6): 894-902 (in Chinese)
[25] Wang H-X (王会霞), Shi H (石辉), Li Y-Y (李秧秧). Relationships between leaf surface characteristics and dust-capturing capability of urban greening plant species. Chinese Journal of Applied Ecology (应用生态学报), 2010, 21(12): 3077-3082 (in Chinese)
[26] Peng Y-D (彭应登). Analysis of the causes of recent Beijing haze pollution and its countermeasures. Journal of Engineering Studies (工程研究), 2013, 5(3): 233-239 (in Chinese)

北京海淀区绿色空间PM_2.5滞尘服务模拟

Simulation on PM_2.5 detention service of green space in Haidian District, Beijing, China.

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价

北京海淀区绿色空间PM2.5滞尘服务模拟

Simulation on PM2.5 detention service of green space in Haidian District, Beijing, China.

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价

北京海淀区绿色空间PM_2.5滞尘服务模拟

Simulation on PM_2.5 detention service of green space in Haidian District, Beijing, China.