Causative impact of air pollution on evapotranspiration in the North China Plain
文献类型:期刊论文
作者 | Yao, Ling1,2 |
刊名 | ENVIRONMENTAL RESEARCH
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出版日期 | 2017-10-01 |
卷号 | 158页码:436-442 |
关键词 | PM2.5 concentration Reference evapotranspiration Causality detection Correlation analysis Agricultural irrigation |
ISSN号 | 0013-9351 |
DOI | 10.1016/j.envres.2017.07.007 |
通讯作者 | Yao, Ling(yaoling@lreis.ac.cn) |
英文摘要 | Atmospheric dispersion conditions strongly impact air pollution under identical surface emissions. The degree of air pollution in the Jing-Jin-Ji region is so severe that it may impose feedback on local climate. Reference evapotranspiration (ET0) plays a significant role in the estimation of crop water requirements, as well as in studies on climate variation and change. Since the traditional correlation analysis cannot capture the causality, we apply the convergent cross mapping method (CCM) in this study to observationally investigate whether the air pollution impacts ET0. The results indicate that southwest regions of Jing-Jin-Ji always suffer higher PM2.5 concentration than north regions through the whole year, and correlation analysis suggests that PM2.5 concentration has a significant negative effect on ET in most cities. The causality detection with CCM quantitatively demonstrates the significantly causative influence of PM2.5 concentration on ET0, higher PM2.5 concentration decreasing ET0. However, CCM analysis suggests that PM2.5 concentration has a relatively weak causal influence on ET while the correlation analysis gives the near zero correlation coefficient in Zhangjiakou city, indicating that the causative influence of PM2.5 concentration on ET is better revealed with CCM method than the correlation analysis. Considering that ET0 is strongly associated with crop water requirement, the amount of water for agricultural irrigation could be reduced at high PM2.5 concentrations. These findings can be utilized to improve the efficiency of water resources utilization, and reduce the exploiting amount of groundwater in the Jing-Jin-Ji region, although PM2.5 is detrimental to human health. |
WOS关键词 | METEOROLOGICAL PARAMETERS ; SOURCE APPORTIONMENT ; PM2.5 ; AEROSOL ; CITIES ; ECOSYSTEMS ; POLLUTANTS ; MORTALITY ; CAUSALITY ; ERROR |
资助项目 | National Earth System Science Data Sharing Infrastructure[2005DKA32300] ; National Science & Technology Infrastructure of China[CKCEST-2016-1-10] ; National Earth System Science Data Sharing Infrastructure ; National Natural Science Foundation of China[41301380] ; Young Talents Training Fund of State Key Laboratory of Resources and Environment Information System of China[O8R8B6E0YA] ; National Science & Technology Infrastructure of China |
WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
语种 | 英语 |
WOS记录号 | WOS:000408184700048 |
出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
资助机构 | National Earth System Science Data Sharing Infrastructure ; National Science & Technology Infrastructure of China ; National Earth System Science Data Sharing Infrastructure ; National Natural Science Foundation of China ; Young Talents Training Fund of State Key Laboratory of Resources and Environment Information System of China ; National Science & Technology Infrastructure of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/61585] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Yao, Ling |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Yao, Ling. Causative impact of air pollution on evapotranspiration in the North China Plain[J]. ENVIRONMENTAL RESEARCH,2017,158:436-442. |
APA | Yao, Ling.(2017).Causative impact of air pollution on evapotranspiration in the North China Plain.ENVIRONMENTAL RESEARCH,158,436-442. |
MLA | Yao, Ling."Causative impact of air pollution on evapotranspiration in the North China Plain".ENVIRONMENTAL RESEARCH 158(2017):436-442. |
入库方式: OAI收割
来源:地理科学与资源研究所
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