A novel mathematical template for developing fDOM probe fluorescence signal correction models for freshwaters.

Autor: Daraei H; Sustainable Infrastructure and Resource Management (SIRM), UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia; Environmental Health Research Centre, Kurdistan University of Medical Sciences, Sanandaj, Kurdistan, Iran., Bertone E; Griffith School of Engineering and Built Environment, Griffith University, Queensland 4222, Australia; Cities Research Institute, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia; Australian Rivers Institute, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia. Electronic address: e.bertone@griffith.edu.au., Awad J; Sustainable Infrastructure and Resource Management (SIRM), UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia; CSIRO Environment, Adelaide, SA 5000, Australia., Stewart RA; Griffith School of Engineering and Built Environment, Griffith University, Queensland 4222, Australia; Cities Research Institute, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia., Chow CWK; Sustainable Infrastructure and Resource Management (SIRM), UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia., Duan J; Sustainable Infrastructure and Resource Management (SIRM), UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia., Mussared A; Australian Water Quality Centre, SA Water, 250 Victoria Square, Adelaide, SA 5000, Australia., Van Leeuwen J; Sustainable Infrastructure and Resource Management (SIRM), UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia.
Jazyk: angličtina
Zdroj: Journal of environmental sciences (China) [J Environ Sci (China)] 2024 Dec; Vol. 146, pp. 103-117. Date of Electronic Publication: 2023 Jun 15.
DOI: 10.1016/j.jes.2023.06.011
Abstrakt: The reliable application of field deployable fluorescent dissolved organic matter (fDOM) probes is hindered by several influencing factors which need to be compensated. This manuscript describes the corrections of temperature, pH, turbidity and inner filter effect on fluorescence signal of a commercial fDOM probe (fDOM s ). For this, Australian waters with wide ranging qualities were selected, e.g. dissolved organic carbon (DOC) ranging from ∼1 to ∼30 mg/L, specific UV absorbance at 254 nm from ∼1 to ∼6 L/m/mg and turbidity from ∼1 to ∼ 350 FNU. Laboratory-based model calibration experiments (MCEs) were performed. A model template was developed and used for the development of the correction models. For each factor, data generated through MCEs were used to determine model coefficient (α) values by fitting the generated model to the experimental data. Four discrete factor models were generated by determination of a factor-specific α value. The α values derived for each water of the MCEs subset were consistent for each factor model. This indicated generic nature of the four α values across wide-ranging water qualities. High correlation between fDOM s and DOC were achieved after applying the four-factor compensation models to new data (r, 0.96, p < 0.05). Also, average biases (and %) between DOC predicted through fDOM s and actual DOC were decreased by applying the four-factor compensation model (from 3.54 (60.9%) to 1.28 (16.7%) mg/L DOC). These correction models were incorporated into a Microsoft EXCEL-based software termed EXOf-Correct for ready-to-use applications.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023. Published by Elsevier B.V.)
Databáze: MEDLINE
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