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Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia

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Title: Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia
Authors: Morozumi, Tomoki Browse this author
Shingubara, Ryo Browse this author
Murase, Jun Browse this author
Nagai, Shin Browse this author
Kobayashi, Hideki Browse this author
Takano, Shinya Browse this author
Tei, Shunsuke Browse this author
Fan, Rong Browse this author
Maximov, Trofim C. Browse this author
Sugimoto, Atsuko Browse this author →KAKEN DB
Keywords: Flooding
Dissolved methane concentration
Arctic
Landsat 8
Issue Date: Sep-2019
Publisher: Elsevier
Journal Title: Polar Science
Volume: 21
Start Page: 186
End Page: 194
Publisher DOI: 10.1016/j.polar.2019.01.005
Abstract: An extreme flooding event occurred from June to July 2017 in the Indigirka River lowland of northeastern Siberia. We used Landsat 8 satellite surface reflectance data to detect the flood inundation area and extract water color for delineating different water sources. We also took direct samples of dissolved methane concentrations in the river water. Relatively high concentrations of dissolved methane (0.7-1.1 mu mol l(-1), or mu M) were observed in four tributary areas in 2017 during the flood's recession, while the values remained low in the main channel (0.2-0.3 mu M). In contrast, the concentrations of dissolved methane were low in both the main channel and tributaries during the non-flood period of 2016 (0.1-0.2 mu M). We then used 2017 satellite reflectance data with an empirical model to estimate the spatial differences of dissolved methane concentration for water sources contributing to the methane-poor main channel and methane-rich tributaries and applied the results to the calculation of riverine methane in the study region (approx. 200 x 300 km). This approach to estimating dissolved methane concentrations using satellite reflectance can provide a new tool for environmental monitoring of flood events in remote areas.
Type: article
URI: http://hdl.handle.net/2115/82573
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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