The presence of organic matter in lakes profoundly impacts drinking water supplies,yet treatment processes involving coagulants and disinfectants can yield carcinogenic disinfection by-products.Traditional assessments...The presence of organic matter in lakes profoundly impacts drinking water supplies,yet treatment processes involving coagulants and disinfectants can yield carcinogenic disinfection by-products.Traditional assessments of organic matter,such as chemical oxygen demand(COD_(Mn))and biochemical oxygen demand(BOD_(5)),are often time-consuming.Alternatively,optical measurements of dissolved organic matter(DOM)offer a rapid and reliable means of obtaining organic matter composition data.Here we employed DOM optical measurements in conjunction with parallel factor analysis to scrutinize COD_(Mn)and BOD_(5)variability.Validation was performed using an independent dataset encompassing six lakes on the Yungui Plateau from 2014 to 2016(n=256).Leveraging multiple linear regressions(MLRs)applied to DOM absorbance at 254 nm(a254)and fluorescence components C1-C5,we successfully traced COD_(Mn)and BOD_(5)variations across the entire plateau(68 lakes,n=271,R^(2)>0.8,P<0.0001).Notably,DOM optical indices yielded superior estimates(higher R^(2))of COD_(Mn)and BOD_(5)during the rainy season compared to the dry season and demonstrated increased accuracy(R^(2)>0.9)in mesotrophic lakes compared to oligotrophic and eutrophic lakes.This study underscores the utility of MLR-based DOM indices for inferring COD_(Mn)and BOD_(5)variability in plateau lakes and highlights the potential of integrating in situ and remote sensing platforms for water pollution early warning.展开更多
基金the support of the Science and Technology Project of Yunnan Province(No.202103AC100001)the National Natural Science Foundation of China(Nos.42322104 and 42071131)+3 种基金the National Key Research and Development Programof China(No.2017YFA0605202)the Youth Innovation Promotion Association CAS(No.2021312)the Provincial Natural Science Foundation of Jiangsu(No.BK20220162)the TÜBITAK program BIDEB2232(project 118C250).
文摘The presence of organic matter in lakes profoundly impacts drinking water supplies,yet treatment processes involving coagulants and disinfectants can yield carcinogenic disinfection by-products.Traditional assessments of organic matter,such as chemical oxygen demand(COD_(Mn))and biochemical oxygen demand(BOD_(5)),are often time-consuming.Alternatively,optical measurements of dissolved organic matter(DOM)offer a rapid and reliable means of obtaining organic matter composition data.Here we employed DOM optical measurements in conjunction with parallel factor analysis to scrutinize COD_(Mn)and BOD_(5)variability.Validation was performed using an independent dataset encompassing six lakes on the Yungui Plateau from 2014 to 2016(n=256).Leveraging multiple linear regressions(MLRs)applied to DOM absorbance at 254 nm(a254)and fluorescence components C1-C5,we successfully traced COD_(Mn)and BOD_(5)variations across the entire plateau(68 lakes,n=271,R^(2)>0.8,P<0.0001).Notably,DOM optical indices yielded superior estimates(higher R^(2))of COD_(Mn)and BOD_(5)during the rainy season compared to the dry season and demonstrated increased accuracy(R^(2)>0.9)in mesotrophic lakes compared to oligotrophic and eutrophic lakes.This study underscores the utility of MLR-based DOM indices for inferring COD_(Mn)and BOD_(5)variability in plateau lakes and highlights the potential of integrating in situ and remote sensing platforms for water pollution early warning.
