期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
华北大气本底微量气体与颗粒物的长期变化 被引量:4
1
作者 白建辉 吴翼美 +2 位作者 柴文海 王普才 王庚辰 《地球科学前沿(汉斯)》 2015年第3期248-263,共16页
2005年5月22日~2015年1月31日,在中国科学院大气本底观测网兴隆站开展了对微量气体(NOx、SO2、O3)、颗粒物(PM2.5)的连续观测,获得了它们的长期变化特征。近10年,兴隆大气中气体和颗粒物(NOx、SO2、O3、PM2.5)的浓度表现出明显的月、季... 2005年5月22日~2015年1月31日,在中国科学院大气本底观测网兴隆站开展了对微量气体(NOx、SO2、O3)、颗粒物(PM2.5)的连续观测,获得了它们的长期变化特征。近10年,兴隆大气中气体和颗粒物(NOx、SO2、O3、PM2.5)的浓度表现出明显的月、季节、年际变化特征;NO2和SO2浓度表现出下降的趋势,它们的年减少率分别为3.37%、0.78%。但是,近10年来O3却表现出增长的趋势,其年增长率为1.71%;在2009~2014年,PM2.5也表现出增长趋势,其年增长率为0.91%。兴隆气体、颗粒物、能见度的变化特征揭示了大气中气液固相物质经化学和光化学过程生成高浓度O3和细颗粒物PM2.5的机制。根据对测量数据的综合分析,控制北京以及华北大气污染应该考虑:1) 首要控制各类人为挥发性有机物的源排放,2) 其次,继续加大控制各类NOx和SO2的源排放。从而减少参与大气光化学反应的反应物以及由光化学过程产生的二次污染物(O3和PM2.5)的生成。PM2.5与O3 &#215;NO2 &#215;SO2月均值之间表现出有较好的一致性,这表明控制各类污染物(包括一次和二次污染物)对于控制颗粒物PM2.5的产生来说都是必不可少的,而且还要考虑同步控制O3光化学污染。 展开更多
关键词 氮氧化物 二氧化硫 臭氧 颗粒物 兴隆站
下载PDF
Towards seamless environmental prediction-development of Pan-Eurasian EXperiment(PEEX)modelling platform
2
作者 Alexander Mahura Alexander Baklanov +46 位作者 Risto Makkonen Michael Boy Tuukka Petäjä Hanna KLappalainen Roman Nuterman Veli-Matti Kerminen Stephen R.Arnold Markus Jochum Anatoly Shvidenko Igor Esau Mikhail Sofiev Andreas Stohl Tuula Aalto jianhui bai Chuchu Chen Yafang Cheng Oxana Drofa Mei Huang Leena Järvi Harri Kokkola Rostislav Kouznetsov Tingting Li Piero Malguzzi Sarah Monks Mads Bruun Poulsen Steffen M.Noe Yuliia Palamarchuk Benjamin Foreback Petri Clusiu Till Andreas Soya Rasmussen Jun She Jens Havskov Sørensen Dominick Spracklen Hang Su Juha Tonttila Siwen Wang Jiandong Wang Tobias Wolf-Grosse Yongqiang Yu Qing Zhang Wei Zhang Wen Zhang Xunhua Zheng Siqi Li Yong Li Putian Zhou Markku Kulmala 《Big Earth Data》 EI CSCD 2024年第2期189-230,共42页
The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research Programme.The PEEX MP has more than 30 models and is directed towards seamless envir-onmental prediction.The main fo... The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research Programme.The PEEX MP has more than 30 models and is directed towards seamless envir-onmental prediction.The main focus area is the Arctic-boreal regions and China.The models used in PEEX-MP cover several main components of the Earth’s system,such as the atmosphere,hydrosphere,pedosphere and biosphere,and resolve the physicalchemicalbiological processes at different spatial and temporal scales and resolutions.This paper introduces and discusses PEEX MP multi-scale modelling concept for the Earth system,online integrated,forward/inverse,and socioeconomical modelling,and other approaches with a particular focus on applications in the PEEX geographical domain.The employed high-performance com-puting facilities,capabilities,and PEEX dataflow for modelling results are described.Several virtual research platforms(PEEXView,Virtual Research Environment,Web-based Atlas)for handling PEEX modelling and observational results are introduced.The over-all approach allows us to understand better physical-chemicalbiological processes,Earth’s system interactions and feedbacks and to provide valuable information for assessment studies on evaluating risks,impact,consequences,etc.for population,envir-onment and climate in the PEEX domain.This work was also one of the last projects of Prof.Sergej Zilitinkevich,who passed away on 15 February 2021.Since the finalization took time,the paper was actually submitted in 2023 and we could not argue that the final paper text was agreed with him. 展开更多
关键词 Multi-scale and-processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部