Effects of extreme climatic events on the hydrological parameters of the estuarine waters of the Amazon coast

Autor: Ádila Kelly Rodrigues da Costa, Luci Cajueiro Carneiro Pereira, José A. Jiménez, Antonio Rafael Gomes de Oliveira, Manuel de Jesus Flores-Montes, Rauquírio Marinho da Costa
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, Universitat Politècnica de Catalunya. LIM/UPC - Laboratori d'Enginyeria Marítima
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
DOI: 10.1007/s12237-022-01056-y
Popis: The final publication is available at Springer via http://dx.doi.org/10.1007/s12237-022-01056-y Oscillations in rainfall levels are one of the principal factors that determine seasonal shifts in physicochemical and hydrobiological variables, and exceptional climate events can have an enormous effect on the characteristics of small tropical estuaries. Given this, the present study investigated the responses of the physiochemical and hydrobiological variables of a small, shallow, and well-mixed Amazonian estuary with absence of any direct fluvial discharge to different climatic scenarios (typical conditions, and drier events). The study was based on 21 field campaigns conducted between April 2012 and April 2017. During rainy seasons of typical condition, when rainfall levels were higher and salinity lower than 7 (just after a weak La Niña), phytoplankton biomass was affected by increased turbidity (> 400 NTU) of the water, even when nitrogenous compounds were readily available (ammonium: 3.39 ± 1.71 µmol L−1, nitrite 0.90 ± 0.80 µmol L−1, and nitrate (3.91 ± 1.86 µmol L−1). In addition, the absence of any direct fluvial discharge appearance has contributed to the cumulation of phytoplankton biomass (chlorophyll-a > 20 mg m−3) into the estuary during the rainy season of the drier events and typical conditions, when turbidity was lower ( 38), phytoplankton biomass (chlorophyll-a
Databáze: OpenAIRE