一种用于开发淡水fDOM探针荧光信号校正模型的新型数学模板
A novel mathematical template for developing fDOM probe fluorescence signal correction models for freshwaters
Hiua Daraei, Edoardo Bertone*, John Awad, Rodney A. Stewart, Christopher W.K. Chow, Jinming Duan, Amanda Mussared, John Van Leeuwen
https://doi.org/10.1016/j.jes.2023.06.011
Abstract
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 (fDOMs). 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 fDOMs 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 fDOMs 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.
作者简介
Edoardo Bertone博士, 澳大利亚格里菲斯大学（Griffith University）工程与建筑环境学院高级讲师，城市研究院（Cities Research Institute）和澳大利亚河流研究院（Australian Rivers Institute）成员。研究方向为数据驱动建模、贝叶斯网络和系统动力学建模在水资源管理中的应用（如优化水处理和降低成本）、水-能源关系、环境健康以及气候变化适应领域。他在意大利都灵理工大学获得了土木工程学士和硕士学位，并在格里菲斯大学获得了水资源工程博士学位。
原文链接
https://www.sciencedirect.com/science/article/pii/S1001074223002644
引用格式
Hiua Daraei, Edoardo Bertone, John Awad, Rodney A. Stewart, Christopher W.K. Chow, Jinming Duan, Amanda Mussared, John Van Leeuwen, 2024. A novel mathematical template for developing fDOM probe fluorescence signal correction models for freshwaters. J. Environ. Sci. 146, 103-117.
