全球河流水库的甲烷脱气及其对碳预算和可持续水资源管理的影响。

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-12-20 Epub Date: 2024-11-29 DOI:10.1016/j.scitotenv.2024.177623
Yanlai Zhou, Hanbing Xu, Tianyu Xia, Lihua Xiong, Li-Chiu Chang, Fi-John Chang, Chong-Yu Xu
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引用次数: 0

摘要

通过水库水排出的甲烷(CH4)损害了水电的低碳地位,这已成为全球碳动态的一个关键热点。然而,对相关途径的全面了解仍然遥不可及,这阻碍了对全球水库碳预算(排放与埋藏比率)的准确估算。本研究提出了一种整体提升方法来评估全球河流水库的甲烷脱气及其对碳预算的影响。首先,利用机器学习模型来描述气候和人为因素对年水停留时间的影响。其次,利用逐步多元线性回归法计算每个水库的甲烷脱气排放量。最后,为了系统地解决所有不确定性来源,对脱气排放量、面积排放量和有机碳埋藏量的估算分别进行了不确定性分析。通过分析全球 6695 座水库的 30 年数据,我们的评估考虑了水的停留时间、温度、集水面积和水库规模。研究结果表明,水库的水排放对全球二氧化碳排放有重大影响,将碳预算从每年 2.02 TgC 提高到 2.18 TgC,提高了 20%,这突出了之前被低估的甲烷脱气对河流水库碳循环影响的重要性。我们提出了重新定义低碳信用额度的阈值,建议功率密度超过 6.1 兆瓦/平方公里(而非传统的 4 兆瓦/平方公里)的水库应符合条件。这项研究强调了可持续水资源管理和重塑与水电相关的碳动态的必要性。未来的研究可以提倡人工智能(AI)技术,通过多目标优化水库运行来加强水资源管理和减少碳排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methane degassing in global river reservoirs and its impacts on carbon budgets and sustainable water management.

Degassing methane (CH4) through reservoir water compromises hydroelectricity's presumed low-carbon status, which has emerged as a critical hotspot for global carbon dynamics. However, a comprehensive understanding of the involved pathways remains elusive, hindering the accurate estimation of global reservoirs' carbon budget (emission-to-burial ratio). This study presents a holistic upscaling approach to assess methane degassing in global river reservoirs and its impacts on carbon budgets. Firstly, a machine learning model is utilized to characterize the contributions of climate and human factors to annual water residence time. Secondly, the stepwise multiple linear regression method is used to calculate CH4 degassing emissions for each reservoir. Finally, to systematically tackle all sources of uncertainty, separate uncertainty analyses are implemented for the estimates of degassing emissions, areal emissions, and organic carbon burial. Analyzing 30-year data from 6695 reservoirs worldwide, our assessment considers water residence time, temperature, catchment area, and reservoir size. Findings indicate that water releases contribute significantly to global CO2 emissions from reservoirs, elevating the carbon budget by 20 % from 2.02 to 2.18 TgC/year, underscoring the previously underestimated significance of CH4 degassing in shaping the carbon cycle impact of river reservoirs. We propose a redefined threshold for low carbon credits, suggesting that reservoirs with power densities exceeding 6.1 MW/km2, instead of the conventional 4 MW/km2, should qualify. This study underscores the need for sustainable water management and reshaping the carbon dynamics associated with hydroelectricity. Future research can advocate Artificial Intelligence (AI) techniques to enhance water management and mitigate carbon emissions by multi-objectively optimizing reservoir operations.

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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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