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Updated: Jan 25, 2026

Production and Measurement of Organic Particulate Matter in the Harvard Environmental Chamber
Published on: November 18, 2018
Quantifying environmental controls on estuarine dissolved organic matter transformation: Integrated insights from
Haeseong Oh1, Suhyeon Jang1, Kyung-Hoon Shin2
1Department of Environment and Energy, Center for Earth and Environment Research (CEER), Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, South Korea.
Abstract:
Estuaries represent dynamic interfaces where dissolved organic matter (DOM) undergoes significant transformation through intertwined biogeochemical processes. However, disentangling and quantifying the relative influence of key environmental drivers remains a persistent challenge due to their concurrent and often synergistic nature. This study applied an integrated approach combining seasonal field observations along a dam-affected estuary (the Yeongsan River estuary, South Korea), controlled laboratory simulations, and optical-tracer-based end-member mixing analysis (EMMA) to assess the respective roles of salinity, biodegradation, and photodegradation in shaping DOM composition. Surface water samples were collected from five stations spanning a 26.7 km estuarine gradient under both monsoon and non-monsoon regimes. Laboratory experiments simulating salinity-induced flocculation, microbial degradation, and photochemical transformation were used to derive process-specific end-members. Among various optical indices, specific UV absorbance (SUVA) and dissolved organic carbon-normalized fluorescence regional integration in region 5 emerged as the most responsive and discriminating tracers. Quantitative EMMA results revealed shifting dominance of environmental drivers across space and season: photodegradation accounted for 60.4-91.8% of DOM transformation attributable to the three processes at mid-estuarine sites (YSR2-YSR3) during the non-monsoon period, while biodegradation became influential under monsoonal conditions (up to 47.2% at YSR2), and salinity influence increased to 28.2-33.9% at marine-influenced sites (YSR4-YSR5). Collectively, these results extend the application of EMMA beyond conventional source apportionment to quantitatively resolve process-level controls on DOM transformation. This framework provides a robust basis for improving DOM monitoring, modeling, and ecosystem management in estuarine systems subject to hydrological regulation and climate-driven variability.
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