Large CO2 effluxes at night and during synoptic weather events significantly contribute to CO2 emissions from a reservoir. (24th May 2016)

• Record Type: Journal Article
• Authors: Liu, Heping; Zhang, Qianyu; Katul, Gabriel G; Cole, Jonathan J; Chapin, F Stuart; MacIntyre, Sally
• Is Part Of: Environmental research letters. Volume 11:Number 6(2016:Jun.)
• Publication Date: 2016-05-24
• Subjects: carbon emissions from lakes -- eddy covariance flux of CO2 -- wind-based gas transfer -- lake-atmosphere interactions; Environmental sciences -- Periodicals; Human ecology -- Research -- Periodicals; Environmental health -- Periodicals; 333.7
• DOI: 10.1088/1748-9326/11/6/064001
• Languages: English
• ISSNs: 1748-9326

Abstract

Abstract: CO2 emissions from inland waters are commonly determined by indirect methods that are based on the product of a gas transfer coefficient and the concentration gradient at the air water interface (e.g., wind-based gas transfer models). The measurements of concentration gradient are typically collected during the day in fair weather throughout the course of a year. Direct measurements of eddy covariance CO2 fluxes from a large inland water body (Ross Barnett reservoir, Mississippi, USA) show that CO2 effluxes at night are approximately 70% greater than those during the day. At longer time scales, frequent synoptic weather events associated with extratropical cyclones induce CO2 flux pulses, resulting in further increase in annual CO2 effluxes by 16%. Therefore, CO2 emission rates from this reservoir, if these diel and synoptic processes are under-sampled, are likely to be underestimated by approximately 40%. Our results also indicate that the CO2 emission rates from global inland waters reported in the literature, when based on indirect methods, are likely underestimated. Field samplings and indirect modeling frameworks that estimate CO2 emissions should account for both daytime–nighttime efflux difference and enhanced emissions during synoptic weather events. The analysis here can guide carbon emission sampling to improve regional carbon estimates.