AbspectroscoPY, a Python toolbox for absorbance-based sensor data in water quality monitoring-Reference-Cited by-同舟云学术

AbspectroscoPY, a Python toolbox for absorbance-based sensor data in water quality monitoring

Published:2022 Issue:4 Volume:8 Page:836-848
ISSN:2053-1400
Container-title:Environmental Science: Water Research & Technology
language:en
Short-container-title:Environ. Sci.: Water Res. Technol.

Author:

Cascone C.¹^ORCID,Murphy K. R.²^ORCID,Markensten H.¹^ORCID,Kern J. S.³^ORCID,Schleich C.⁴,Keucken A.⁴⁵,Köhler S. J.¹⁶^ORCID

Affiliation:

1. Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, SLU, SE 750 07 Uppsala, Sweden

2. Department of Architecture and Civil Engineering, Division of Water Environment Technology, Chalmers University of Technology, SE 412 96 Gothenburg, Sweden

3. Department of Engineering Mechanics, Royal Institute of Technology, KTH, SE 100 44 Stockholm, Sweden

4. Vatten & Miljö i Väst AB, SE 311 22 Falkenberg, Sweden

5. Department of Building and Environmental Technology, Division of Water Resources Engineering, Lund University, SE 221 00 Lund, Sweden

6. Norrvatten AB, Skogsbacken 6, SE 172 41 Sundbyberg, Sweden

Abstract

Absorbance-based sensors produce large raw attenuation datasets. We developed AbspectroscoPY, an open-source Python toolbox to implement semi-automated processing of these data and explore the full potential of high-frequency measurements.

Funder

Svenska Forskningsrådet Formas

Svenskt Vatten

Sveriges Lantbruksuniversitet

Publisher

Royal Society of Chemistry (RSC)

Subject

Water Science and Technology,Environmental Engineering

Link

http://pubs.rsc.org/en/content/articlepdf/2022/EW/D1EW00416F

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