Tracking flood debris using satellite-derived ocean color and particle-tracking modeling SCIE SCOPUS

Cited 9 time in WEB OF SCIENCE Cited 12 time in Scopus
Title
Tracking flood debris using satellite-derived ocean color and particle-tracking modeling
Author(s)
Seo, Seongbong; Park, Young Gyu; Kim, Kwangseok
KIOST Author(s)
Park, Young Gyu(박영규)Kim, Kwang Seok(김광석)
Alternative Author(s)
서성봉; 박영규; 김광석
Publication Year
2020-12
Abstract
Flood debris associated with Typhoon Lionrock from the Tumen River at the border between Russia and North Korea was traced using ocean color and a Lagrangian particle-tracking model. As debris is transported along with discharged water during floods, a means of tracing floodwater should also allow any associated debris to be tracked. By analyzing the anomalous distribution of colored dissolved organic matter (CDOM) and total suspended sediments (TSS) from the Geostationary Ocean Color Imager (GOCI), the southward movement of the floodwater was tracked along the eastern coast of the Korean Peninsula. This movement was driven by the North Korean Cold Current and was consistent with model results. The similarity between the satellite-derived and modeled datasets shows that CDOM and TSS can be used to track flood-derived debris for several hundreds of kilometers and locate hotspots of debris accumulation.
ISSN
0025-326X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/38767
DOI
10.1016/j.marpolbul.2020.111828
Bibliographic Citation
MARINE POLLUTION BULLETIN, v.161, 2020
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Subject
MARINE DEBRIS; RIVER-PLUME; IMAGER GOCI; SEA; SALINITY; TRANSPORT; DYNAMICS; SURFACE; ACCUMULATION; INTENSITY
Keywords
Debris; CDOM; TSS; Lagrangian model; Debris hotspot
Type
Article
Language
English
Document Type
Article
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