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作 者:李超 王先华[1,2,3] 叶函函 吴时超[1,3] 施海亮 李大成[1,3] 孙二昌 安源[1,2,3] Li Chao;Wang Xianhua;Ye Hanhan;Wu Shichao;Shi Hailiang;Li Dacheng;Sun Erchang;An Yuan(Anhui Institute of Optics and Fine Mechanics,Hefei Institute of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui,China;University of Science and Technology of China,Hefei 230026,Anhui,China;Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences,Hefei 230031,Anhui,China)
机构地区:[1]中国科学院合肥物质科学研究院安徽光学精密机械研究所,安徽合肥230031 [2]中国科学技术大学,安徽合肥230026 [3]中国科学院通用光学定标与表征技术重点实验室,安徽合肥230031
出 处:《光学学报》2024年第12期71-83,共13页Acta Optica Sinica
基 金:国家重点研发计划(2021YFE0118000);国家自然科学基金青年基金(42205146)。
摘 要:对卫星成像遥感的分辨能力开展理论分析,基于拉格朗日粒子扩散理论的CALPUFF模型得到点源大气CO_(2)排放烟羽分布结果,设计可探测像元统计和排放强度估算方法,以1×10^(-6)和4×10^(-6)的卫星反演精度和现有CO_(2)排放强度估算误差为标准,分析不同排放强度和气象条件下监测点源CO_(2)排放所需的最低空间分辨率。理论分析表明:空间分辨率越高,探测到的CO_(2)烟羽越完整,CO_(2)排放强度定量精度越高,对气象和排放强度因素的适应范围越广。探测分辨能力与排放强度成正比,与500 t/h排放强度对应所需的空间分辨率2.0 km相比,3000 t/h排放强度所需的空间分辨率提高至4.5 km;探测分辨能力与风速成反比,静风(风速为0)条件对应所需的空间分辨率为3.0 km,在10.0 m/s风速条件下,所需的空间分辨率为1.0 km。分析成像卫星的分辨能力并说明其适用场景,为未来成像探测数据的CO_(2)排放分辨能力分析和信息解译方法提供理论基础。Objective With the escalating concerns about global climate change and the intensification of the greenhouse effect,the increase in atmospheric CO_(2) concentration is considered one of the primary driving factors.To effectively manage and mitigate these emissions,the accurate and real-time monitoring of atmospheric CO_(2) concentrations becomes particularly crucial.Monitoring atmospheric CO_(2) not only provides scientists with valuable information on current emission levels and changing trends but also offers policymakers a basis for decision-making to formulate or revise relevant environmental and climate policies.Moreover,by continually and accurately monitoring atmospheric CO_(2),we can gain a better understanding of its interactions with other climate parameters,thus supplying more accurate input data for global climate models.In recent years,satellite remote sensing technology has become a vital tool for monitoring atmospheric CO_(2),especially in vast or inaccessible regions.However,point source emissions,such as those from factories and power plants,tend to be highly concentrated spatially.For these small yet concentrated emission sources,traditional satellite remote sensing technologies may encounter challenges related to insufficient resolution.To address this challenge,this paper delves into a profound theoretical analysis of the spatial resolution capabilities of the next generation of imaging satellite remote sensing in monitoring atmospheric point source CO_(2) emissions.It quantifies the resolution capabilities and applicable scenarios of imaging satellites,laying a theoretical foundation for the resolution capability analysis and information interpretation methods of future imaging detection data for CO_(2) emissions,drawing from specialized backgrounds.Methods To explore the enhancement of point source CO_(2) emission monitoring capabilities by the spatial detection capabilities of satellite imaging remote sensing,this study is based on the CALPUFF Lagrangian particle dispersion model to investi
关 键 词:大气光学 CO_(2)烟羽 排放强度 卫星成像遥感 空间分辨率 扩散模型
分 类 号:P407[天文地球—大气科学及气象学]
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