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CO 2 emissions from karst cascade hydropower reservoirs

Mechanisms and reservoir effect

Bibliographic Data

ID15550663
AuthorsWanfa Wang (0000-0001-8835-9808, Tianjin University), Si-Liang Li, Si‐Liang Li (0000-0002-0295-9675, Tianjin University, corresponding author), Jun Zhong (0000-0001-9553-0423, Tianjin University), Lichun Wang (0000-0002-0064-6608, Tianjin University), Hong Yang (0000-0003-1416-0526, University of Reading), Huayun Xiao (0000-0002-2369-9809, Tianjin University), Cong‐Qiang Liu (0000-0001-7451-0992, Tianjin University), Cong-Qiang Liu
Year2021
Volume16
Issue4
Pages044013-044013
Publication date2021-02-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/abe962
OpenAlexW3131956983
LanguageEN
References cited61

Carbon dioxide (CO 2 ) emissions from aquatic surface to the atmosphere has been recognized as a significant factor contributing to the global carbon budget and environmental change. The influence of river damming on the CO 2 emissions from reservoirs remains poorly constrained. This is hypothetically due to the change of hydraulic retention time (HRT) and thermal stratification intensity of reservoirs (related to the normal water level, NWL). To test this hypothesis, we quantified CO 2 fluxes and related parameters in eight karst reservoirs on the Wujiang River, Southwest China. Our results showed that there was a significant difference in the values of p CO 2 (mean = 3205.7 μ atm, SD = 2183.4 μ atm) and δ 13 C CO2 (mean = −18.9‰, SD = 1.6‰) in the cascade reservoirs, suggesting that multiple processes regulate CO 2 production. Moreover, the calculated CO 2 fluxes showed obvious spatiotemporal variations, ranging from −9.0 to 2269.3 mmol m −2 d −1 , with an average of 260.1 mmol m −2 d −1 . Interestingly, the CO 2 flux and δ 13 C CO2 from reservoirs of this study and other reservoirs around the world had an exponential function with the reservoir effect index ( R i , HRT/NWL), suggesting the viability of our hypothesis on reservoir CO 2 emission. This empirical function will help to estimate CO 2 emissions from global reservoirs and provide theoretical support for reservoir regulation to mitigate carbon emission

Atmospheric sciences · Carbon cycle · Carbon dioxide · Ecosystem · Flux (metallurgy · Hydrology (agriculture · Hydropower · Karst · Stratification (seeds · Chemistry · Environmental Science · Groundwater and Isotope Geochemistry · Karst Systems and Hydrogeology · Marine and coastal ecosystems · Ecology · Geology

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