Influence of Some Environmental Variables on the Zooplankton Community of Aguieira Reservoir (Iberian Peninsula, Portugal): Spatial and Temporal Trends

Geraldes, Ana Maria; Pasupuleti, Rajeev; Silva-Santos, Pedro

doi:10.9734/ajee/2016/30661

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…The surrounding landscape is dominated by eucalyptus, acacias, pines, agricultural soils, moors, and bushes [38,40,41]. The climate of this region is strongly influenced by Mediterranean conditions, being characterized by mild/cold winters and hot summers [36,38,42]. This reservoir presents characteristics of a hot monomictic lake, mixing only once (in the cold periods), as well as sometimes periods of strong thermal stratification regarded in the coldest and hottest periods [36].…”

Section: In Situ Datamentioning

confidence: 99%

Chlorophyll and Suspended Solids Estimation in Portuguese Reservoirs (Aguieira and Alqueva) from Sentinel-2 Imagery

Neves

Pace

Delegido

et al. 2021

Water

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Reservoirs have been subject to anthropogenic stressors, becoming increasingly degraded. The evaluation of ecological potential in reservoirs is remarkably challenging, and consistent and regular monitoring using the traditional in situ methods defined in the WFD is often time- and money-consuming. Alternatively, remote sensing offers a low-cost, high frequency, and practical complement to these methods. This paper proposes a novel approach, using a C2RCC processor to analyze Sentinel-2 imagery data to retrieve information on water quality in two reservoirs of Portugal, Aguieira and Alqueva. We evaluate the temporal and spatial evolution of Chl a and total suspended solids (TSS), between 2018 and 2020, comparing in situ and satellite data. Generally, Alqueva reservoir allowed lower relative (NRMSE = 8.9% for Chl a and NRMSE = 21.9% for TSS) and systematic (NMBE = 1.7% for Chl a and NMBE = 2.0% for TSS) errors than Aguieira, where some fine-tuning would be required. Our paper shows how satellite data can be fundamental for water-quality assessment to support the effective and sustainable management of inland waters. In addition, it proposes solutions for future research in order to improve upon the methods used and solve the challenges faced in this study.

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Section: In Situ Datamentioning

confidence: 99%