Fecha/hora: 03/06/2024 04:02:45

Biblioteca(s): | INIA La Estanzuela.
Tipo de la producción científica: | Artículos en Revistas Indexadas Internacionales
Circulación/Nivel: | Internacional - --
Fecha corriente: | 18/12/2020
Fecha de la última actualización: | 21/05/2021
Autoria: | BERETTA-BLANCO, A.; CARRASCO-LETELIER, L.
Afiliación: | ANDRÉS BERETTA-BLANCO, Dirección General de Recursos Naturales, Ministerio de Ganadería Agricultura y Pesca, Uruguay.; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título: | Relevant factors in the eutrophication of the Uruguay River and the Río Negro.
Año de publicación: | 2021
Fuente/Imprenta: | Science of the Total Environment, Volume 761, 20 March 2021, Article number 143299. Doi: https://doi.org/10.1016/j.scitotenv.2020.143299
DOI: | 10.1016/j.scitotenv.2020.143299
Idioma: | Inglés
Notas: | Article history: Article history:Received 10 April 2020/Received in revised form 9 October 2020/Accepted 25 October 2020/Available online 14 November 2020. Corresponding author:E-mail address: lcarrasco@inia.org.uy (L. Carrasco-Letelier).

Contenido:

Abstract: In recent decades, there has been increasing eutrophication of rivers and lagoons in Uruguay and solutions leading to water purification are being sought. The growing pollution has been attributed to nitrogen and phosphorus compounds exported from the river basins with intensification of agricultural production and the absence of tertiary treatment for urban and industrial effluents. Although nitrogen and phosphorus are relevant to eutrophication, there are also other factors that can promote eutrophication and algal blooms. This paper reports a broad analysis of water quality variables recorded over 9 years (2009?2018) at 17 sampling stations on the Uruguay River and 16 sampling stations on the Río Negro, and explores their relationship with the changes of chlorophyll a (Chl-a) concentrations using a generalized linear model and a neural network simulation (NNS). The input variables were total phosphorus; total suspended solids; electrical conductivity of water (ECw); alkalinity; water temperature (T); water pH (pH) and sampling month. The NNS explained 79% of Chl-a variations and showed
the most relevant variables to be T, ECw, and pH. Moreover, the NNS showed that replacement of current land uses by natural prairie would not significantly reduce Chl-a concentrations. The results showed that the main factors that drive Chl-a concentrations (i.e., algae) are not directly linked to agriculture land use.

Palabras-Clave: | CHL-A; EUTROPHICATION; FRESHWATER; NEURAL NETWORK SIMULATIONS.
Categoría del tema: | --
Registro original: | INIA La Estanzuela (LE)
Ejemplares: | LE - (103259-1) - PXI - AP - DD - PP/STE/2021 -  -  - DIS