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

作　　者：Hiua Daraei Edoardo Bertone John Awad Rodney A.Stewart Christopher W.K.Chow Jinming Duan Amanda Mussared John Van Leeuwen 

机构地区：[1]Sustainable Infrastructure and Resource Management(SIRM),UniSA STEM,University of South Australia,Mawson Lakes,SA 5095,Australia [2]Griffith School of Engineering and Built Environment,Griffith University,Queensland 4222,Australia [3]Cities Research Institute,Griffith University,Parklands Drive,Southport,Queensland 4222,Australia [4]CSIRO Environment,Adelaide,SA 5000,Australia [5]Australian Water Quality Centre,SA Water,250 Victoria Square,Adelaide,SA 5000,Australia [6]Australian Rivers Institute,Griffith University,170 Kessels Road,Nathan,Queensland 4111,Australia [7]Environmental Health Research Centre,Kurdistan University of Medical Sciences,Sanandaj,Kurdistan,Iran

出　　处：《Journal of Environmental Sciences》2024年第12期103-117,共15页环境科学学报（英文版）

基　　金：an Australian Research Council Linkage Project,grant number LP160100217.

摘　　要：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-specificαvalue.Theαvalues derived for each water of the MCEs subset were consistent for each factor model.This indicated generic nature of the fourαvalues 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 compensationmodel(from3.54(60.9%)to 1.28(16.7%)mg/L DOC).These correction models were incorporated into a Mi-crosoft EXCEL-based software termed EXOf-Correct for ready-to-use applications.

关 键 词：Surface waters Online monitoring fDOM probes Fluorescence signal Model-based corrections 

分 类 号：X524[环境科学与工程—环境工程]