TY - JOUR
T1 - Optical properties and compositions of dissolved organic matter (DOM) along trophic gradients
T2 - Implications for a COD proxy in urban lakes
AU - Huang, Xi
AU - Xu, Jincheng
AU - Wang, Yan
AU - Vithanage, Meththika
AU - Vithana, Chamindra L.
AU - Wang, Yang
AU - Yuan, Danni
AU - Li, Siyue
N1 - Publisher Copyright:
© 2025 The Author(s). River published by Wiley-VCH GmbH on behalf of China Institute of Water Resources and Hydropower Research (IWHR).
PY - 2025
Y1 - 2025
N2 - Aiming to control lake eutrophication, proposed methods for convenient and faithworthy lake water quality evaluation are warranted. Optical measurement of dissolved organic matter (DOM) demonstrates great potential for estimating organic matter (OM) composition, and can thus serve as a proxy for conventional chemical oxygen demand (CODMn) measurements, which are considered as imprecise and environmentally unfriendly. Hence, we conducted a field campaign across 30 lakes in Wuhan's metropolitan area, collecting 255 samples from varying trophic states to evaluate the predictive capability of CODMn using DOM optical measurements combined with parallel factor (PARAFAC) analysis. The DOM optical properties and chemical composition exhibited considerable variability across varying trophic state levels (TSLs). Fluorescence components C1-C3 and C5, fluorescence index (FI), and absorption at 254 nm (α254), increased as TSL increased, while the DOM spectral slope (SR) decreased. CODMn was positively and significantly correlated with fluorescence components C1–C3 and C5, freshness index (β/α), autochthonous index (BIX), humification index (HIX), α254, the ratio of α250 to α365 (E2/E3) while being negatively correlated with SR. Parameters α254, C1, C3, C4, FI, β/α, and HIX were identified as key predictors of CODMn. The multiple linear regression model successfully predicted CODMn (r2 = 0.63, p < 0.01, n = 1113) and demonstrated superior performance in mesotrophic lakes. These findings highlight the potential for establishing high-frequency, continuous, and multi-regional COD monitoring programs.
AB - Aiming to control lake eutrophication, proposed methods for convenient and faithworthy lake water quality evaluation are warranted. Optical measurement of dissolved organic matter (DOM) demonstrates great potential for estimating organic matter (OM) composition, and can thus serve as a proxy for conventional chemical oxygen demand (CODMn) measurements, which are considered as imprecise and environmentally unfriendly. Hence, we conducted a field campaign across 30 lakes in Wuhan's metropolitan area, collecting 255 samples from varying trophic states to evaluate the predictive capability of CODMn using DOM optical measurements combined with parallel factor (PARAFAC) analysis. The DOM optical properties and chemical composition exhibited considerable variability across varying trophic state levels (TSLs). Fluorescence components C1-C3 and C5, fluorescence index (FI), and absorption at 254 nm (α254), increased as TSL increased, while the DOM spectral slope (SR) decreased. CODMn was positively and significantly correlated with fluorescence components C1–C3 and C5, freshness index (β/α), autochthonous index (BIX), humification index (HIX), α254, the ratio of α250 to α365 (E2/E3) while being negatively correlated with SR. Parameters α254, C1, C3, C4, FI, β/α, and HIX were identified as key predictors of CODMn. The multiple linear regression model successfully predicted CODMn (r2 = 0.63, p < 0.01, n = 1113) and demonstrated superior performance in mesotrophic lakes. These findings highlight the potential for establishing high-frequency, continuous, and multi-regional COD monitoring programs.
KW - chemical oxygen demand
KW - DOM chemical composition
KW - DOM quality
KW - eutrophication
KW - water quality
UR - https://www.scopus.com/pages/publications/105011942561
U2 - 10.1002/rvr2.70018
DO - 10.1002/rvr2.70018
M3 - Article
AN - SCOPUS:105011942561
SN - 2750-4867
JO - River
JF - River
ER -