2022
DOI: 10.1039/d1ew00416f
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AbspectroscoPY, a Python toolbox for absorbance-based sensor data in water quality monitoring

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.

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Cited by 7 publications
(7 citation statements)
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“…The streamPULSE platform facilitates stream metabolism modeling through providing consistent approaches to sensor data collection and protocols for data quality assurance and control and stream metabolism modeling. 26 Additionally, several freely available toolboxes designed to analyze high-frequency water data have been released in the past years, including the R packages oddwater developed to detect outliers in WQ data from in situ sensors, 183 waterData which calculates and plots anomalies, ensemble hydrograph separation scripts, 175 and EndSplit for end-member splitting analysis 184 and Python packages AbspectroscoPY to analyze UV–vis sensor data 185 and pyhydroqc for automating detection and correction of anomalies in sensor data. 169 …”
Section: Exploring the Full Potential Of High-frequency Water Quality...mentioning
confidence: 99%
“…The streamPULSE platform facilitates stream metabolism modeling through providing consistent approaches to sensor data collection and protocols for data quality assurance and control and stream metabolism modeling. 26 Additionally, several freely available toolboxes designed to analyze high-frequency water data have been released in the past years, including the R packages oddwater developed to detect outliers in WQ data from in situ sensors, 183 waterData which calculates and plots anomalies, ensemble hydrograph separation scripts, 175 and EndSplit for end-member splitting analysis 184 and Python packages AbspectroscoPY to analyze UV–vis sensor data 185 and pyhydroqc for automating detection and correction of anomalies in sensor data. 169 …”
Section: Exploring the Full Potential Of High-frequency Water Quality...mentioning
confidence: 99%
“…170 Moreover, deploying advanced sensors and data processing algorithms becomes vital to furnish precise and timely information about the performance of infrastructure components. 83,171 Real-time monitoring and control can augment the capabilities of failure detection and diagnosis and enable swift response and reorganization of individual components without disrupting the overall system. 80 Furthermore, the incorporation of emerging technologies such as artificial intelligence (AI) and MLA can foster the development of predictive maintenance strategies.…”
Section: Challenges and Future Perspectives In Next-generation Decent...mentioning
confidence: 99%
“…This sensing principle is commonly used in chemical, biological, and environmental fields to detect and analyze the presence of chemicals or other specific targets in a sample. 5,43,44 As light of a specific wavelength travels through a sample, molecules or atoms in the sample may absorb the light energy. The absorbed photons excite the electrons of the molecules or atoms, causing them to jump to a higher energy level.…”
Section: Nimentioning
confidence: 99%
“…Absorption spectroscopy optical fiber sensing is a technique used to gather information about a target substance by measuring the degree to which the substance absorbs light at a specific wavelength. This sensing principle is commonly used in chemical, biological, and environmental fields to detect and analyze the presence of chemicals or other specific targets in a sample 5 , 43 , 44 . As light of a specific wavelength travels through a sample, molecules or atoms in the sample may absorb the light energy.…”
Section: Classification and Basic Principles Of Optical Fiber Sensormentioning
confidence: 99%