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| Research progress on the carbon cycle of rivers and lakes |
| DUAN Wei-yan1, HUANG Chang1,2,3 |
1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China;
2. Shanxi key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an 710127, China;
3. Institute of Earth Surface System and Natural Hazards, Northwest University, Xi'an 710127, China |
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Abstract This study focuses on the carbon cycle of rivers and lakes. It first illustrates the migration and transformation processes of various carbon components, such as particulate organic carbon (POC), particulate inorganic carbon (PIC), and dissolved organic carbon (DOC), in different aquatic ecosystems, and then elucidates the key factors affecting the carbon flux of rivers and lakes. After that, it summarizes the instruments and laboratory techniques that can be used to determine the carbon content in water. In particular, this study discusses the application of remote sensing technology in carbon component inversion and estimation. At last, it systematically summarizes the research advances in recent years using remote sensing data to estimate the carbon components of rivers and lakes, such as POC, DOC, colored dissolved organic matter (CDOM) and chlorophyll a (Chla). A comprehensive comparison of the carbon cycle models of inland waters that had been established at home and abroad is conducted. Based on the literature review, it is found that different types of rivers and lakes at different latitudes have different influencing factors on carbon flux and carbon cycle, which is determined by local water cycle and water-atmosphere exchange. Traditional laboratory measurements can measure the carbon components of water bodies accurately, whereas satellite remote sensing is able to monitor carbon components in rivers and lakes, such as CDOM, DOC, POC and phytoplankton, at large scales. It provides an effective means to achieve regional water quality carbon cycle processes monitoring. Constructing carbon cycle model is helpful for analyzing the sources and characteristics of carbon components, and revealing the biogeochemical cycle processes. But further improvement on the applicability and robustness of existing models is required.
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Received: 07 January 2021
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