气溶胶的环境效应(气温)对植被总初级生产力的影响
Environmental Effect Condition (Air Temperature) of Aerosols on Gross Primary Productivity of Vegetation
DOI: 10.12677/IJE.2020.92027, PDF,  被引量   
作者: 高牧原:浙江师范大学,地理与环境科学学院,浙江 金华
关键词: WRF-ChemVPMGPP雾霾WRF-Chem VPM GPP Haze
摘要: 本研究利用WRF-Chem模式,以欧洲中期天气预报中心(ECMWF)的再分析数据作为驱动数据,中国多分辨率排放清单共享平台(MEIC)人为源排放数据作为人为源排放数据,以华北平原作为研究区,研究时间为2016年4月6日,设置一组对比试验,分别模拟有无人为源排放影响下的环境,将有无气溶胶环境的环境因素带入到植被光合作用模型(Vegetation Photosynthesis Model, VPM)模型中获得两者环境下的总初级生产力(Gross primary productivity, GPP)。本文主要研究结果是气溶胶导致研究区内大部分时段平均气温下降,小部分时段因吸热气溶胶原因导致平均气温,轻微上升。从区域尺度分析,气溶胶环境效应与气溶胶的关系,受下行辐射与气溶胶种类影响,导致气温不能随PM 2.5浓度同步变化,在一些区域出现气温升高的现象。白天平均气温均有所下降,下降范围0.350%~2.667%。其环境效应导致2016年4月6日整个研究区平均GPP下降0.03%~2.55%。从区域尺度分析,虽然气溶胶环境效应(气温)总体以降温为主,但存在区域性增温,导致部分地区GPP增加最高增加超过5%,但其地区本身GPP却小于1 g C m−2∙day−1,其变化绝对值却很小。GPP减少绝对值的地区位于山东省,江苏省,河南省,安徽省交界处减少为0.05 g C m−2∙day−1~0.2 g C m−2∙day−1,增加绝对值在苏北地区增加为0.05 g C m−2∙day−1~0.1 g C m−2∙day−1
Abstract: In this study, WRF Chem model is used to drive the reanalysis data of ECMWF, China mul-ti-resolution emission inventory sharing platform (MEIC) anthropogenic emission data is used as anthropogenic emission data, and North China Plain is used as the research area. The research time is April 6, 2016. A group of comparative tests is set up to simulate whether there is anthropogenic emission shadow or not. In response to the environment, the environmental factors with or without aerosol environment are brought into the vegetation photosynthesis model (VPM) to obtain the gross primary productivity (GPP) in both environments. The main result of this paper is that aerosol causes the average temperature to drop in most periods of the study area, and the average temperature to rise slightly in a small part of the study area due to the absorption of hot aerosol. From the analysis of regional scale, the relationship between aerosol environmental effect and aerosol is affected by downward radiation and aerosol species, which results in the temperature can’t change synchronously with PM 2.5 concentration, and the phenomenon of temperature rise appears in some regions. During the day, the average temperature decreased by 0.350%~2.667%. Its environmental effect led to a decrease of 0.03%~2.55% in the average GPP of the whole study area on April 6, 2016. From the regional scale analysis, although the aerosol environmental effect (air temperature) is mainly cooling, there is regional warming, resulting in the highest increase of GPP in some areas by more than 5%, but the GPP in the area itself is less than 1 g C m−2∙day−1, and its absolute value of change is very small. The absolute value of GPP decreased from 0.05 g C m−2∙day−1~0.2 g C m−2∙day−1 in Shandong Province, Jiangsu Province, Henan Province and Anhui Province, and increased from 0.05 g C m−2∙day−1~0.1 g C m−2∙day−1 in Northern Jiangsu Province.
文章引用:高牧原. 气溶胶的环境效应(气温)对植被总初级生产力的影响[J]. 世界生态学, 2020, 9(2): 210-222. https://doi.org/10.12677/IJE.2020.92027

参考文献

[1] 张安定. 遥感原理与应用题解[M]. 北京: 科学出版社, 2016.
[2] Hsu, N.-C., Gautam, R., Sayer, A.-M., et al. (2012) Global and Regional Trends of Aerosol Optical Depth over Land and Ocean Using SeaWiFS Measurements from 1997 to 2010. Atmospheric Chemistry and Physics, 12, 8037-8053. [Google Scholar] [CrossRef
[3] Yoon, J., Burrows, J.-P., Vountas, M., et al. (2014) Changes in Atmospheric Aerosol Loading Retrieved from Space-Based Measurements during the Past Decade. Atmospheric Chemistry and Physics, 14, 6881-6902. [Google Scholar] [CrossRef
[4] Hu, T., Sun, Z.B. and Li, Z.X. (2011) Features of Aerosol Optical Depth and Its Relation to Extreme Temperatures in China during 1980-2001. Acta Oceanologica Sinica, 30, 33-45. [Google Scholar] [CrossRef
[5] Gu, L.H., Baldocchi, D., Verma, S.B., et al. (2002) Advantages of Diffuse Radiation for Terrestrial Ecosystem Productivity. Journal of Geophysical Research Atmospheres, 107, 1-2. [Google Scholar] [CrossRef
[6] Mercado, L.M., Bellouin, N., Sitch, S., et al. (2009) Impact of Changes in Diffuse Radiation on the Global Land Carbon Sink. Nature, 458, 1014-1017. [Google Scholar] [CrossRef] [PubMed]
[7] Cohan, D.S., Xu, J., Greenwald, R., et al. (2002) Impact of Atmospheric Aerosol Light Scattering and Absorption on Terrestrial Net Primary Productivity. Global Biogeochemical Cycles, 16, 31-37. [Google Scholar] [CrossRef
[8] Knohl, A. and Baldocchi, D.D. (2008) Effects of Diffuse Radiation on Canopy Gas Exchange Processes in a Forest Ecosystem. Journal of Geophysical Research: Biogeosciences, 113, Article ID: G02023. [Google Scholar] [CrossRef
[9] Hansen, J., Nazarenko, L., Ruedy, R., et al. (2005) Earth’s Energy Imbalance: Confirmation and Implications. Science, 308, 1431-1435. [Google Scholar] [CrossRef] [PubMed]
[10] Liepert, B.G., Feichter, J., Lohmann, U., et al. (2004) Can Aerosols Spin Down the Water Cycle in a Warmer and Moister World? Geophysical Research Letters, 31, Article ID: L06207. [Google Scholar] [CrossRef
[11] Ramanathan, V., Crutzen, P.-J., Kiehl, J.-T., et al. (2001) Aerosols, Climate, and the Hydrological Cycle. Science, 294, 2119-2124. [Google Scholar] [CrossRef] [PubMed]
[12] Lohmann, U. and Feichter, J. (2005) Global Indirect Aerosol Effects: A Review. Atmospheric Chemistry & Physics, 5, 715-737. [Google Scholar] [CrossRef
[13] Natalie, M. (2011) Aerosol Indirect Effect on Biogeochemical Cycles and Climate. Science, 334, 794-796. [Google Scholar] [CrossRef] [PubMed]
[14] Mahowald, N.-M., Engelstaedter, S., Luo, C., et al. (2009) Atmos-pheric Iron Deposition: Global Distribution, Variability, and Human Perturbations. Ann Rev Mar Sci, 1, 245-278. [Google Scholar] [CrossRef] [PubMed]
[15] Rosenfeld, D., Lohmann, U., Raga, G.B., et al. (2008) Flood or Drought: How do Aerosols Affect Precipitation? Science, 321, 1309-1313. [Google Scholar] [CrossRef] [PubMed]
[16] Osborne, J.-M. and Lambert, F.-H. (2013) The Response of Northern Hemisphere Mid-Latitude Precipitation to Aerosol Forcing.
[17] Parry, M.L. (2007) Climate Change 2007, Working Group II Contribution to the Fourth Assessment Report of the IPCC Intergovernmental Panel on Climate Change.
[18] Novakov, T., Kirchstetter, T.-W., Menon, S., et al. (2008) Response of California Temperature to Re-gional Anthropogenic Aerosol Changes. Geophysical Research Letters, 35, 116-122. [Google Scholar] [CrossRef
[19] Song, F.F., Zhou, T.J. and Qian, Y. (2014) Responses of East Asian Summer Monsoon to Natural and Anthropogenic Forcings in the 17 Latest CMIP5 Models. Geophysical Research Let-ters, 41, 596-603. [Google Scholar] [CrossRef
[20] Zhang, H., Wang, Z.L., Wang, Z.Z., et al. (2012) Simulation of Direct Radiative Forcing of Aerosols and Their Effects on East Asian Climate Using an Interactive AGCM-Aerosol Coupled System. Climate Dynamics, 38, 1675-1693. [Google Scholar] [CrossRef
[21] Arden, G. and Liu, Y.M. (2006) Effect of Smoke and Clouds on the Transmissivity of Photosynthetically Active Radiation inside the Canopy. Atmospheric Chemistry & Physics Dis-cussions, 6, 5909-5934. [Google Scholar] [CrossRef
[22] Min, Q.L. (2005) Impacts of Aerosols and Clouds on For-est-Atmosphere Carbon Exchange. Journal of Geophysical Research Atmospheres, 110, Article ID: D06203. [Google Scholar] [CrossRef
[23] 赵晶晶, 刘良云, 徐自为, 等. 华北平原冬小麦总初级生产力的遥感监测[J]. 农业工程学报, 2011, 27(S1): 346-351.
[24] Zhang, R.Y., Wang, L., Khalizov, A.-F., et al. (2009) For-mation of Nanoparticles of Blue Haze Enhanced by Anthropogenic Pollution. Proceedings of the National Academy of Sciences, 106, 17650-17654. [Google Scholar] [CrossRef] [PubMed]
[25] Huete, A.R., Liu, H.Q., Batchily, K. and van Leeuwena, W. (1997) A Comparison of Vegetation Indices over a Global Set of TM Images for EOS-MODIS. Remote Sensing of Environment, 59, 440-451. [Google Scholar] [CrossRef
[26] Xiao, X., Boles, S., Frolking, S., et al. (2010) Observation of Flooding and Rice Transplanting of Paddy Rice Fields at the Site to Landscape Scales in China Using VEGETATION Sensor Data. International Journal of Remote Sensing, 23, 3009-3022. [Google Scholar] [CrossRef
[27] Loveland, T.R., Reed, B.C., Brown, J.F., et al. (2000) Devel-opment of a Global Land Cover Characteristics Database and IGBP DIS Cover from 1 km AVHRR Data. International Journal of Remote Sensing, 21, 1303-1330. [Google Scholar] [CrossRef
[28] 周允华, 项月琴, 栾禄凯. 光合有效量子通量密度的气候学计算[J]. 气象学报, 1996(4): 447-455.
[29] Grell, G.A., Peckham, S.E., Schmitz, R., et al. (2005) Fully Coupled “Online” Chemistry within the WRF Model. Atmospheric Environment, 39, 6957-6975. [Google Scholar] [CrossRef
[30] Xiao, X.M., Zhang, Q.Y., Braswell, B., et al. (2004) Mod-eling Gross Primary Production of Temperate Deciduous Broadleaf Forest Using Satellite Images and Climate Data. Remote Sensing of Environment, 91, 256-270. [Google Scholar] [CrossRef
[31] Xiao, X.M., Hollinger, D., Aber, J., et al. (2004) Satellite-Based Modeling of Gross Primary Production in an Evergreen Needleleaf Forest. Remote Sensing of Environment, 89, 519-534. [Google Scholar] [CrossRef
[32] 贾文晓, 刘敏, 尹才, 等. 基于FLUXNET观测数据与VPM模型的森林生态系统光合作用关键参数优化及验证[J]. 应用生态学报, 2016, 27(4): 1095-1102.
[33] Raich, J.-W., Rastetter, E.-B., Melillo, J.-M., et al. (1991) Potential Net Primary Productivity in South America: Application of a Global Model. Ecological Applications, 1, 399-429. [Google Scholar] [CrossRef] [PubMed]
[34] Running, S.-W., Nemani, R.-R., Heinsch, F.-A., et al. (2004) A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production. Bioscience, 54, 547-560. [Google Scholar] [CrossRef
[35] Zhang, Y. and Xiao, X.M., Jin, C., et al. (2016) Consistency between Sun-Induced Chlorophyll Fluorescence and Gross Primary Production of Vegetation in North America. Remote Sensing of Environment, 183, 154-169. [Google Scholar] [CrossRef
[36] Ackerman, A.-S., Toon, O.-B., Stevens, D.-E., et al. (2000) Reduc-tion of Tropical Cloudiness by Soot. Science, 288, 1042-1047. [Google Scholar] [CrossRef] [PubMed]
[37] Kristjánsson, J.-E. (2002) Studies of the Aerosol Indirect Effect from Sulfate and Black Carbon Aerosols. Journal of Geophysical Research: Atmospheres, 107, 1. [Google Scholar] [CrossRef
[38] Highwood, E.-J. and Kinnersley, R.-P. (2006) When Smoke Gets in Our Eyes: The Multiple Impacts of Atmospheric Black Carbon on Climate, Air Quality and Health. Environment In-ternational, 32, 560-566. [Google Scholar] [CrossRef] [PubMed]
[39] Bond, T.C., Doherty, S.J., Fahey, D.W., et al. (2013) Bounding the Role of Black Carbon in the Climate System: A Scientific Assessment. Journal of Geophysical Research: Atmos-pheres, 118, 5380-5552. [Google Scholar] [CrossRef
[40] 龙鑫. 基于卫星遥感观测和WRF-Dust/Chem的空气质量模拟[D]: [博士学位论文]. 北京: 中国科学院研究生院(地球环境研究所), 2016.
[41] Xu, Y., Unger, N., Harper, K., et al. (2017) Ozone and Haze Pollution Weakens Net Primary Productivity in China. Atmospheric Chemistry and Physics, 17, 6073-6089. [Google Scholar] [CrossRef
[42] Novakov, T., Kirchstetter, T.W., Menon, S., et al. (2008) Response of California Temperature to Regional Anthropogenic Aerosol Changes. Geophysical Research Letters, 35, L19808. [Google Scholar] [CrossRef