| 引用本文: | 康满春,刘流,刘佳,肖尚斌.湖、库水体CH4冒泡排放研究进展.湖泊科学,2024,36(2):339-352. DOI:10.18307/2024.0201 |
| Kang Manchun,Liu Liu,Liu Jia,Xiao Shangbin.Methane ebullition from lakes and reservoirs: A review. J. Lake Sci.2024,36(2):339-352. DOI:10.18307/2024.0201 |
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| 湖、库水体CH4冒泡排放研究进展 |
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康满春1,2, 刘流3, 刘佳1,2, 肖尚斌1,2
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1.三峡大学三峡库区生态环境教育部工程研究中心, 宜昌 443002;2.三峡水库生态系统湖北省野外科学观测研究站, 宜昌 443002;3.云南师范大学高原地理过程与环境变化云南省重点实验室, 昆明 650500
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| 摘要: |
| 冒泡排放是湖、库水体CH4排放的主要方式之一,其排放通量和占CH4总排放量比例均具有极其显著的时空差异性,是当前水体CH4排放估算不确定性的主要来源之一。然而,目前关于湖、库水体CH4冒泡排放通量监测、时空分布规律、过程机制和模型模拟的系统梳理鲜有报道。本研究对比了目前水体CH4冒泡的监测方法技术的适用性及优缺点,分析总结湖、库水体CH4冒泡排放及通量的时空分布特征,梳理CH4气泡在沉积物-水体中的产生-成长-迁移-释放的过程、影响因素及模型,并提出了水体CH4冒泡过程模型框架。最后,本研究提出未来研究应基于湖、库水体分类、设备开发和改进来构建适应性的湖、库水体CH4冒泡排放监测标准体系,开发基于过程的CH4冒泡机理模型,为认识变化环境下湖、库水体CH4冒泡过程和准确估算CH4排放量提供支撑。 |
| 关键词: 甲烷 冒泡排放 湖泊 水库 气泡模型 |
| DOI：10.18307/2024.0201 |
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| 基金项目:国家自然科学基金项目(51809149,51979148)、湖北省自然科学基金创新发展联合基金(2022CFD032)和国家留学基金委资助项目(留金项［2019］44号)联合资助。 |
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| Methane ebullition from lakes and reservoirs: A review |
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Kang Manchun1,2, Liu Liu3, Liu Jia1,2, Xiao Shangbin1,2
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1.Engineering Research Center of Eco-environment in Three Gorges Reservoir Region, Ministry of Education, China Three Gorges University, Yichang 443002, P.R. China;2.Hubei Field Observation and Scientific Research Stations for Water Ecosystem in Three Gorges Reservoir, Yichang 443002, P.R. China;3.Yunnan Key Laboratory of Plateau Geographical Processes and Environmental Changes, Faculty of Geography, Yunnan Normal University, Kunming 650500, P.R. China
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| Abstract: |
| Ebullition is an important pathway for methane (CH4) emission from lakes and reservoirs. It is a main cause of uncertainty in estimating CH4 emission owing to the large spatiotemporal variabilities of ebullition. However, a systematic synthesis on CH4 ebullition monitoring methods, spatiotemporal variabilities, bubble release mechanisms and model simulations is currently lacking. This study summarizes the popular monitoring methods, the spatiotemporal characteristics of CH4 ebullitive flux from lakes and reservoirs, the processes of CH4 bubble growth and release in sediment-water continuum, the impact factors and available models. In the end, a conceptional scheme for future model development is proposed. To reduce uncertainties in estimating CH4 fluxes from lakes and reservoirs under changing environment, an adaptive monitoring strategy should be adopted. This includes classifying lakes and reservoirs according to their respective physiochemical properties and upgrading the measurement devices. Moreover, development of process-based CH4 ebullition models is urgently needed. |
| Key words: Methane ebullition/bubbling reservoir lake bubble model |
