Routine river monitoring often evaluates water quality separately from greenhouse-gas disequilibrium, limiting its use for integrated carbon assessment. We investigated dissolved CO 2 and CH 4 at 16 sites across the Liao River during July and December 2024, a wetter-than-normal sampling year, and related their patterns to hydrochemistry, EEM-PARAFAC-derived dissolved organic matter (DOM) descriptors, and 16S rRNA-based microbial attributes. CO 2 was supersaturated at all sites, indicating persistent source potential across the river network, whereas CH 4 was predominantly undersaturated, with 27 of 32 observations below atmospheric equilibrium and only localized positive patches. CO 2 supersaturation was most closely associated with an oxidizable loading–DOM optical quality gradient: COD Mn provided the clearest water-quality signal, while HIX, BIX, and ureolysis further reflected DOM processing conditions. The CO 2 response increased most strongly within the observed COD Mn range of approximately 2.4–4.5 mg L −1 and remained elevated above ∼5 mg L −1 . In contrast, CH 4 sink strength was most strongly associated with seasonal temperature structure, with BIX and dissolved oxygen representing related DOM freshness and oxygen-background dimensions. Most microbial diversity and FAPROTAX-inferred functional signals covaried with the same thermal–DOM–oxygen background, except for the selective CO 2 -related signal of ureolysis. These results indicate that routine COD Mn monitoring and DOM optical diagnostics can help identify reaches associated with elevated CO 2 supersaturation, whereas CH 4 assessment requires seasonally resolved monitoring and targeted evaluation of localized source-like conditions.
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