Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes

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 (CODMn) and biochemical oxygen...

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Main Authors: Xuan Yang, Yongqiang Zhou, Xiaoying Yang, Yunlin Zhang, Robert G.M. Spencer, Justin D. Brookes, Erik Jeppesen, Hucai Zhang, Qichao Zhou
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Environmental Science and Ecotechnology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666498423000911
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author Xuan Yang
Yongqiang Zhou
Xiaoying Yang
Yunlin Zhang
Robert G.M. Spencer
Justin D. Brookes
Erik Jeppesen
Hucai Zhang
Qichao Zhou
author_facet Xuan Yang
Yongqiang Zhou
Xiaoying Yang
Yunlin Zhang
Robert G.M. Spencer
Justin D. Brookes
Erik Jeppesen
Hucai Zhang
Qichao Zhou
author_sort Xuan Yang
collection DOAJ
description 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 (CODMn) and biochemical oxygen demand (BOD5), 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 CODMn and BOD5 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 CODMn and BOD5 variations across the entire plateau (68 lakes, n = 271, R2 > 0.8, P < 0.0001). Notably, DOM optical indices yielded superior estimates (higher R2) of CODMn and BOD5 during the rainy season compared to the dry season and demonstrated increased accuracy (R2 > 0.9) in mesotrophic lakes compared to oligotrophic and eutrophic lakes. This study underscores the utility of MLR-based DOM indices for inferring CODMn and BOD5 variability in plateau lakes and highlights the potential of integrating in situ and remote sensing platforms for water pollution early warning.
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spelling doaj.art-282499d3f0af4754a8725dec3925b13e2023-12-31T04:28:08ZengElsevierEnvironmental Science and Ecotechnology2666-49842024-05-0119100326Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakesXuan Yang0Yongqiang Zhou1Xiaoying Yang2Yunlin Zhang3Robert G.M. Spencer4Justin D. Brookes5Erik Jeppesen6Hucai Zhang7Qichao Zhou8Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, China; Institute of International River and Eco-security, Yunnan University, Kunming, 650500, China; Zhejiang College of Security Technology, Wenzhou, 325016, ChinaTaihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; Corresponding author.Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, China; Institute of International River and Eco-security, Yunnan University, Kunming, 650500, ChinaTaihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, ChinaDepartment of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, 32306, United StatesWater Research Centre, School of Biological Science, The University of Adelaide, Adelaide, 5005, AustraliaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, China; Department of Ecoscience, Aarhus University, Aarhus, 8000, Denmark; Sino-Danish Centre for Education and Research, Chinese Academy of Sciences, Beijing, 100101, China; Limnology Laboratory, Department of Biological Sciences and Centre for Ecosystem Research and Implementation, Middle East Technical University, Ankara, 06800, Turkey; Institute of Marine Sciences, Middle East Technical University, Erdemli, Mersin, 33731, TurkeyInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, China; Yunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed, Yunnan Research Academy of Eco-environmental Sciences, Kunming, 650034, China; Corresponding author. Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, China.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 (CODMn) and biochemical oxygen demand (BOD5), 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 CODMn and BOD5 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 CODMn and BOD5 variations across the entire plateau (68 lakes, n = 271, R2 > 0.8, P < 0.0001). Notably, DOM optical indices yielded superior estimates (higher R2) of CODMn and BOD5 during the rainy season compared to the dry season and demonstrated increased accuracy (R2 > 0.9) in mesotrophic lakes compared to oligotrophic and eutrophic lakes. This study underscores the utility of MLR-based DOM indices for inferring CODMn and BOD5 variability in plateau lakes and highlights the potential of integrating in situ and remote sensing platforms for water pollution early warning.http://www.sciencedirect.com/science/article/pii/S2666498423000911Dissolved organic matterChemical oxygen demandBiochemical oxygen demandWater qualityYungui plateau lakes
spellingShingle Xuan Yang
Yongqiang Zhou
Xiaoying Yang
Yunlin Zhang
Robert G.M. Spencer
Justin D. Brookes
Erik Jeppesen
Hucai Zhang
Qichao Zhou
Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes
Environmental Science and Ecotechnology
Dissolved organic matter
Chemical oxygen demand
Biochemical oxygen demand
Water quality
Yungui plateau lakes
title Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes
title_full Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes
title_fullStr Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes
title_full_unstemmed Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes
title_short Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes
title_sort optical measurements of dissolved organic matter as proxies for codmn and bod5 in plateau lakes
topic Dissolved organic matter
Chemical oxygen demand
Biochemical oxygen demand
Water quality
Yungui plateau lakes
url http://www.sciencedirect.com/science/article/pii/S2666498423000911
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