Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression

In this study we develop a novel approach to quantify the relative importance of hydro-meteorological (HM) conditions on the trophic state index (TSI) of a water reservoir (San Roque, Córdoba, Argentina). Seven HM variables measured at four reservoir sites and different depths over a time period of...

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Detalles Bibliográficos
Autores principales: Andreoni, Pablo F., Ruiz, Marcia Andrea, Rodríguez, María Inés, Ruibal-Conti, Ana Laura
Formato: Artículo
Lenguaje:Español
Publicado: Springer Science and Business Media B.V. 2022
Materias:
QD Química
Acceso en línea:http://pa.bibdigital.ucc.edu.ar/3382/1/A_Andreoni_Ruiz_Rodriguez.pdf
Aporte de:
Producción Académica Universidad Católica de Córdoba (UCCor) de Universidad Católica de Córdoba
id I38-R144-3382
record_format dspace
institution Universidad Católica de Córdoba
institution_str I-38
repository_str R-144
collection Producción Académica Universidad Católica de Córdoba (UCCor)
language Español
orig_language_str_mv spa
topic QD Química
spellingShingle QD Química
Andreoni, Pablo F.
Ruiz, Marcia Andrea
Rodríguez, María Inés
Ruibal-Conti, Ana Laura
Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression
topic_facet QD Química
description In this study we develop a novel approach to quantify the relative importance of hydro-meteorological (HM) conditions on the trophic state index (TSI) of a water reservoir (San Roque, Córdoba, Argentina). Seven HM variables measured at four reservoir sites and different depths over a time period of near 2 decades are used. We propose a dynamic regression model to predict the TSI from these variables aggregated over a range of time lags, which has not been applied in such a complex setting so far. By performing coefficient analysis, we quantify the relative importance of these variables on the TSI, as well as the time duration over which they have significant impact (lagged effect). Additionally, the analysis of the autoregressive and moving average (ARIMA) terms reveals the impact of the residual effects of previous trophic states on the current trophic state. We find that surface temperature and precipitation have the largest direct relationship to the TSI in the short-term, while the reservoir water level is inversely related to the TSI in the short- to mid-term. Also, the residual effects of the trophic state impact from 1 month (generally) up to 2 years (exceptionally). This approach can be applied to other water bodies affected by similar eutrophication phenomena. Graphical abstract: [Figure not available: see fulltext.]
format Artículo
Artículo
author Andreoni, Pablo F.
Ruiz, Marcia Andrea
Rodríguez, María Inés
Ruibal-Conti, Ana Laura
author_facet Andreoni, Pablo F.
Ruiz, Marcia Andrea
Rodríguez, María Inés
Ruibal-Conti, Ana Laura
author_sort Andreoni, Pablo F.
title Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression
title_short Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression
title_full Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression
title_fullStr Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression
title_full_unstemmed Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression
title_sort unraveling the lagged effect of hydro-meteorological conditions on the trophic state of a reservoir by applying dynamic regression
publisher Springer Science and Business Media B.V.
publishDate 2022
url http://pa.bibdigital.ucc.edu.ar/3382/1/A_Andreoni_Ruiz_Rodriguez.pdf
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