Authors: Jiwei Li*, University of Massachusetts - Amherst, Qian Yu, University of Massachusetts Amherst
Topics: Water Resources and Hydrology, Remote Sensing, Biogeography
Keywords: DOC, watershed, CDOM, DOC model, remote sensing, landcover, soil, mesocosm experiment, carbon cycle
Session Type: Paper
Scheduler ID: WED-025-8:00 a.m.
Start / End Time: 8:00 AM / 9:40 AM
Room: Iberville, Marriott, River Tower Elevators, 4th Floor
Estimation of DOC flux from satellite-derived CDOM information need clearly examination in inland lakes and rivers. In this study, we examined multiple forcing factors on the relationship between DOC and CDOM by conducting both the watershed field samplings and mesocosm experiments. Our study is based on 7 years, bi-monthly field samplings of the CDOM and DOC at sub-basin scales for exploring how the landcover types and other watershed biogeography effects regulating DOC/CDOM relationships. Our main findings are DOC/CDOM relationship were dominantly affected by the land cover types, or terrestrial originated carbon sources in watersheds. Linear regressed slope for controlling DOC/CDOM co-variations were 2 times higher in evergreen vegetation sources than deciduous and agricultural sources. Giving by the same CDOM absorption values, the estimated DOC concentrations would be three times broader in evergreen than that of deciduous and agriculture. Contributed by both field samplings results and mesocosm experiments, we established one mathematical model for estimating the DOC variations based on the input of CDOM, landcover types and soil types. The improved understanding of the DOC/CDOM relationships would greatly benefit to the carbon flux monitoring through remote sensing approach.