Physical Controls on Coastal Hypoxia: Insights from a Novel Dual-Model Framework
Zheng Chen1, Liuqian Yu1, Jiying Li2
1Earth, Ocean and Atmospheric Sciences Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China.
Environmental Science & Technology
|June 8, 2026
Summary
Coastal hypoxia management needs to separate physical and biogeochemical factors. Our dual-model framework reveals physical transport amplifies hypoxia, with nutrient loading variability modulating these effects.
Area of Science:
- * Marine science
- * Estuarine oceanography
- * Biogeochemistry
Background:
- * Coastal hypoxia is a growing environmental concern.
- * Managing hypoxia requires understanding physical and biogeochemical drivers.
- * Existing models often struggle to isolate these complex interactions.
Purpose of the Study:
- * To develop and apply a novel dual-model framework to disentangle physical and biogeochemical drivers of coastal hypoxia.
- * To quantitatively separate the influence of stratification and substance transport on hypoxia.
- * To investigate how nutrient loading variability modulates physical controls on hypoxia in the Pearl River Estuary.
Main Methods:
- * Developed a dual-model framework pairing a physical-biogeochemical model with a simplified oxygen model.
- * Utilized satellite chlorophyll climatology to prescribe fixed biogeochemical rates in the simplified model.
- * Compared model responses to identical forcing perturbations to isolate physical controls.
Main Results:
- * Physical transport amplifies stratification-driven hypoxia changes, contributing 54-70% of wind-induced hypoxic area variability.
- * Nutrient loading variability can amplify or counteract hypoxia changes depending on loading scenarios.
- * Nonpoint-source-dominated systems show amplified hypoxia responses (approx. 4-fold) compared to point-source-dominated systems.
Conclusions:
- * Physical transport and stratification interact synergistically to control coastal hypoxia.
- * Nutrient loading variability significantly modulates the physical controls on hypoxia.
- * The developed framework offers a portable and accessible methodology for hypoxia attribution and simulation.
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