Assessment of a portable UV-Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data

被引:0
作者
Zhu, Xudan [1 ]
Chen, Liang [1 ]
Pumpanen, Jukka [2 ]
Keinanen, Markku [1 ]
Laudon, Hjalmar [3 ]
Ojala, Anne [4 ,5 ,6 ]
Palviainen, Marjo [7 ]
Kiirikki, Mikko [8 ]
Neitola, Kimmo [9 ]
Berninger, Frank [1 ]
机构
[1] Univ Eastern Finland, Dept Environm & Biol Sci, Joensuu 80101, Finland
[2] Univ Eastern Finland, Dept Environm & Biol Sci, Kuopio 70211, Finland
[3] Swedish Univ Agr Sci, Dept Forest Ecol & Management, S-90183 Umea, Sweden
[4] Univ Helsinki, Fac Biol & Environm Sci, Ecosyst & Environm Res Programme, Niemenkatu 73, Lahti 15140, Finland
[5] Univ Helsinki, Inst Atmospher & Earth Syst Res Forest Sci, Fac Agr & Forestry, Helsinki 00014, Finland
[6] Univ Helsinki, Helsinki Inst Sustainabil Sci, Fac Biol & Environm Sci, Helsinki 00014, Finland
[7] Univ Helsinki, Dept Forest Sci, Helsinki 00014, Finland
[8] Luode Consulting, Sinimaentie 10 B, Espoo 02630, Finland
[9] Univ Helsinki, Inst Atmospher & Earth Syst Res INAR, Helsinki 00014, Finland
基金
瑞典研究理事会; 欧盟地平线“2020”; 芬兰科学院;
关键词
Water quality; UV-Vis spectrophotometer; Spectral absorbance; Dissolved organic matter; Ferric iron; HIGH-FREQUENCY WAVE; ORGANIC-MATTER;
D O I
10.1016/j.dib.2021.106747
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper presents data for the assessment of a portable UV-Vis spectrophotometer's performance on predicting stream water DOC and Fe content. The dataset contains DOC and Fe concentrations by laboratory methods, in-situ and exsitu spectral absorbances, monitoring environmental indexes such as water depth, temperature, turbidity and voltage. The records in Yli-Nuortti river (Cold station, Finland) took place during the hydrological year 2018-2019 and in Krycklan (C4 and C5, Sweden) during the hydrological years 2016-2019. The data analyses were conducted with 'pls' and 'caret' package in R. The correlation coefficient (R), root-mean-square deviation (RMSD), standard deviation (STD) and bias were used to check the performance of the models. This dataset can be combined with datasets from other regions around the world to build more universal models. For discussion and more information of the dataset creation, please refer to the full-length article "Assessment of a portable UV-Vis spectrophotometer's performance for stream water DOC and Fe content monitoring in remote areas"[1]. (C) 2021 The Authors. Published by Elsevier Inc.
引用
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页数:8
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