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作 者:任可 赵瑞雪 温志丹[2] 宋开山[2] REN Ke;ZHAO Ruixue;WEN Zhidan;SONG Kaishan(School of Geomatics and Prospecting Engineering,Jilin Jianzhu University,Changchun 130118,China;Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,China)
机构地区:[1]吉林建筑大学测绘与勘查工程学院,吉林长春130118 [2]中国科学院东北地理与农业生态研究所,吉林长春130102
出 处:《应用化工》2024年第11期2700-2705,共6页Applied Chemical Industry
基 金:国家自然科学基金面上项目(42071336)。
摘 要:综合分析了中国湖泊碳排放及其影响因素,强调了湖泊在碳循环中的重要作用,分析了湖泊碳排放通量的影响因素。当前中国湖泊水气界面CO_(2)和CH 4年排放通量分别为6.22~8.07 Tg C和1.41 Tg C,总结了当前湖泊碳排放通量估算方法,表明了卫星遥感监测技术在估算湖泊碳排放通量方面有巨大潜力。该领域的未来的研究方向可以侧重于对现有的遥感和地面监测数据进行更深入的分析和整合、提高数据的准确性和可靠性、加强机理模型开发与应用等方面。强调了生态、地理和气象因素在影响湖泊碳排放方面的复杂交互作用,对深入理解湖泊碳循环和湖泊水环境管理具有重要意义。This article comprehensively analyzes the carbon emissions and influencing factors of Chinese lakes,emphasizes the important role of lakes in carbon cycling,and focuses on the research progress of lake carbon emissions.Currently,the annual CO_(2)and CH 4 emissions fluxes of Chinese lakes are 6.22~8.07 Tg C and 1.41 Tg C,respectively.At the same time,the influencing factors of lake carbon emissions fluxes are clarified.This article summarizes the current methods for estimating lake carbon emissions flux,indicating the enormous potential of satellite remote sensing monitoring in estimating lake carbon emissions flux.Key research directions for future remote sensing estimation of lake carbon emissions flux include further analysis and integration of existing remote sensing and ground monitoring data,improving data accuracy and reliability,developing new numerical models,and strengthening the development and application of mechanistic models.This study emphasizes the complex interaction of ecological,geographical,and meteorological factors in influencing lake carbon emissions,which is of great significance for a deeper understanding of lake carbon cycling and management of lake carbon emissions.
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