High-frequency multi-solute calibration using an in situ UV–visible sensor

dc.contributor.authorCrespo Sánchez, Patricio Javier
dc.contributor.authorPeña Saltos, Pablo Gabriel
dc.contributor.authorMora Abril, Enmita Lucía
dc.contributor.authorMcDowell, William H.
dc.contributor.authorPesántez Vallejo, Juan Patricio
dc.contributor.authorBirkel, Christian
dc.contributor.authorMosquera Rojas, Giovanny Mauricio
dc.contributor.authorArízaga Idrovo, Viviana Cristina
dc.date.accessioned2022-03-04T15:12:08Z
dc.date.available2022-03-04T15:12:08Z
dc.date.issued2021
dc.description.abstractMonitoring the temporal variation of solute concentrations in streams at high temporal frequency can play an important role in understanding the hydrological and biogeochemical behaviour of catchments. UV–visible spectrometry is a relatively inexpensive and easily used tool to infer those concentrations in streams at high temporal resolution. However, it is not yet clear which solutes can be modelled with such an in-situ sensor. Here, we installed a UV–visible spectrometer probe (200–750 nm) in a high-altitude tropical Páramo stream to record the wavelength absorbance at a 5-min temporal resolution. For calibration, we simultaneously sampled stream water at a 4-h frequency from February 2018 to March 2019 for subsequent laboratory analysis. Absorbance spectra and laboratory-determined solute concentrations were used to identify the best calibration method and to determine which solute concentrations can be effectively inferred using in situ spectrometry through the evaluation of six calibration methods of different mathematical complexity. Based on the Nash–Sutcliffe efficiency (NSE) and Akaike information criterion metrics, our results suggest that multivariate methods always outperformed simpler strategies to infer solute concentrations. Eleven out of 21 studied solutes (Al, DOC, Ca, Cu, K, Mg, N, Na, Rb, Si and Sr) were successfully calibrated (NSE >0.50) and could be inferred using UV–visible spectrometry even with a reduced daily sampling frequency. It is worth noting that most calibrated solutes were correlated with wavelengths (WLs) in the low range of the spectra (i.e., UV range) and showed relatively good correlation with DOC. The latter suggests that estimation of metal concentrations could be possible in other streams with a high organic load (e.g., peat dominated catchments). In situ operation of spectrometers to monitor water quality parameters at high temporal frequency (sub-hourly) can enhance the protection of human water supplies and aquatic ecosystems as well as providing information for assessing catchment hydrological functioning.
dc.identifier.doi10.1002/hyp.14357
dc.identifier.issn0885-6087
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/38300
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85115884168&origin=resultslist&sort=plf-f&src=s&st1=High-frequency+multi-solute+calibration+using+an+in+situ+UV%e2%80%93visible+sensor&sid=bcdd01e61a6fa7b2ff4469571b7a6162&sot=b&sdt=b&sl=89&s=TITLE-ABS-KEY%28High-frequency+multi-solute+calibration+using+an+in+situ+UV%e2%80%93visible+sensor%29&relpos=0&citeCnt=2&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1
dc.language.isoes_ES
dc.sourceHydrological Processes
dc.subjectUV visible spectrometry
dc.subjectWater quality
dc.subjectSolutes
dc.subjectPáramo
dc.subjectHigh frequency monitoring
dc.subjectCalibration
dc.titleHigh-frequency multi-solute calibration using an in situ UV–visible sensor
dc.typeARTÍCULO
dc.ucuenca.afiliacionPesantez, J., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador
dc.ucuenca.afiliacionMosquera, G., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador; Mosquera, G., Universidad San Francisco de Quito, Quito , Ecuador
dc.ucuenca.afiliacionArizaga, V., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador
dc.ucuenca.afiliacionBirkel, C., Universidad de Costa Rica, San José, Costa rica
dc.ucuenca.afiliacionMora, E., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador
dc.ucuenca.afiliacionMcDowell, W., University of New Hampshire, New Hampshire, Estados unidos
dc.ucuenca.afiliacionCrespo, P., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador
dc.ucuenca.afiliacionPeña, P., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador
dc.ucuenca.areaconocimientofrascatiamplio1. Ciencias Naturales y Exactas
dc.ucuenca.areaconocimientofrascatidetallado1.5.10 Recursos Hídricos
dc.ucuenca.areaconocimientofrascatiespecifico1.5 Ciencias de la Tierra y el Ambiente
dc.ucuenca.areaconocimientounescoamplio05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas
dc.ucuenca.areaconocimientounescodetallado0521 - Ciencias Ambientales
dc.ucuenca.areaconocimientounescoespecifico052 - Medio Ambiente
dc.ucuenca.correspondenciaPesantez Vallejo, Juan Patricio, juanp.pesantezv@ucuenca.edu.ec
dc.ucuenca.cuartilQ1
dc.ucuenca.factorimpacto1.222
dc.ucuenca.idautor0102572773
dc.ucuenca.idautor0000-0002-6792-852x
dc.ucuenca.idautor0104450911
dc.ucuenca.idautor0104628672
dc.ucuenca.idautor0102843554
dc.ucuenca.idautor0000-0002-8739-9047
dc.ucuenca.idautor0301546024
dc.ucuenca.idautor0104894530
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.numerocitaciones0
dc.ucuenca.urifuentehttps://onlinelibrary.wiley.com/toc/10991085/2021/35/9
dc.ucuenca.versionVersión publicada
dc.ucuenca.volumenVolumen 35, número 9

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