Combined flooding and water quality monitoring during short extreme events using Sentinel 2: the case study of Gloria storm in Ebro delta

Short extreme events have significant impact on landscape and ecosystems in low-lying and exposed areas such as deltaic systems. In this context, this paper proposes a combined methodology for the mapping and monitoring of the flooding and water quality dynamics of coastal areas under extreme storms from Sentinel 2 imagery. The proposed methodology has been applied in a coastal bay of the Ebro Delta (Catalonia, NE Spain) to evaluate jointly the impact of Gloria storm (January 2020) in land-flooding and water quality. The experimental results show that the Gloria storm had a strong morphological impact and altered the water quality (chl-a) dynamics. The results show a recovery in terms of water quality after some weeks but in contrast the coastal morphology did not show the same degree of resilience. This paper is the first step of an overall goal that is to set the bases in a long term, for a workflow for rapid response and continuous monitoring of storm effects in coastal areas and/or highly valuable ecosystems such as the Ebro Delta.This research was partially funded by the project New-TechAqua (European Union's Programme H2020, GA 862658). J. Soriano-González held a pre-doctoral grant funded by by Agència de Gestió d’Ajuts Universitaris I de Recerca (2020FI_B2 00148)Peer ReviewedObjectius de Desenvolupament Sostenible::14 - Vida SubmarinaObjectius de Desenvolupament Sostenible::13 - Acció per al ClimaPostprint (published version

First results of phytoplankton spatial dynamics in two NW-Mediterranean bays from Chlorophyll-a estimates using Sentinel 2: potential implications for aquaculture

Shellfish aquaculture has a major socioeconomic impact on coastal areas, thus it is necessary to develop support tools for its management. In this sense, phytoplankton monitoring is crucial, as it is the main source of food for shellfish farming. The aim of this study was to assess the applicability of Sentinel 2 multispectral imagery (MSI) to monitor the phytoplankton biomass at Ebro Delta bays and to assess its potential as a tool for shellfish management. In situ chlorophyll-a data from Ebro Delta bays (NE Spain) were coupled with several band combination and band ratio spectral indices derived from Sentinel 2A levels 1C and 2A for time-series mapping. The best results (AIC = 72.17, APD < 10%, and MAE < 0.7 mg/m3) were obtained with a simple blue-to-green ratio applied over Rayleigh corrected images. Sentinel 2–derived maps provided coverage of the farm sites at both bays allowing relating the spatiotemporal distribution of phytoplankton with the environmental forcing under different states of the bays. The applied methodology will be further improved but the results show the potential of using Sentinel 2 MSI imagery as a tool for assessing phytoplankton spatiotemporal dynamics and to encourage better future practices in the management of the aquaculture in Ebro Delta bays.info:eu-repo/semantics/publishedVersio

Sustainable marine ecosystems: deep learning for water quality assessment and forecasting

An appropriate management of the available resources within oceans and coastal regions is vital to guarantee their sustainable development and preservation, where water quality is a key element. Leveraging on a combination of cross-disciplinary technologies including Remote Sensing (RS), Internet of Things (IoT), Big Data, cloud computing, and Artificial Intelligence (AI) is essential to attain this aim. In this paper, we review methodologies and technologies for water quality assessment that contribute to a sustainable management of marine environments. Specifically, we focus on Deep Leaning (DL) strategies for water quality estimation and forecasting. The analyzed literature is classified depending on the type of task, scenario and architecture. Moreover, several applications including coastal management and aquaculture are surveyed. Finally, we discuss open issues still to be addressed and potential research lines where transfer learning, knowledge fusion, reinforcement learning, edge computing and decision-making policies are expected to be the main involved agents.Postprint (published version

Cystic lesion of pectoralis minor muscle: learning from mistakes

Hydatidosis is a frequent infestation in large endemic areas, caused by helminths. Primary localization within the muscle or bone tissues is rare. We report the case of a 52-year-old woman with a cystic lesion located in the right pectoralis minor muscle, who was initially diagnosed with cystic lymphangioma by imaging examination. She was submitted for surgical treatment; in block resection of the tumor along with the involved muscle was performed. The histopathological diagnosis was of hydatid cyst. The contribution of the ancillary lab tests is analyzed for a precise preoperative diagnostic approach. This case well illustrates that the most likely is not always what it appears to be. Facing of a cystic lesion in the lungs, liver or muscle, clinicians should always think on hydatid disease, particularly in endemic areas

Isolation and identification of NAD-independent Avibacterium paragallinarum (serovar C-1) from growing layer hens with infectious coryza

The isolation of V-factor (NAD)-independent, serovar C-1 of Avibacterium paragallinarum from growing layer hens with infec- tious coryza, is reported for the first time. Av. paragallinarum serovar C-1 isolates were PCR confirmed and shared a unique genetic profile. Isolation of Av. paragallinarum NAD-independent biovar, serotyping and genotyping of isolates at the avian diagnostic laboratories are discussed

Towards the Combination of C2RCC Processors for Improving Water Quality Retrieval in Inland and Coastal Areas

Sentinel-2 offers great potential for monitoring water quality in inland and coastal waters. However, atmospheric correction in these waters is challenging, and there is no standardized approach yet, but different methods coexist under constant development. The atmospheric correction Case 2 Regional Coast Colour (C2RCC) processor has been recently updated with the C2X-COMPLEX (C2XC). This study is one of the first attempts at exploring its performance, in comparison with C2RCC and C2X, in inland and coastal waters in the east of the Iberian Peninsula, in retrieving water surface reflectance and estimating chlorophyll-a ([Chl-a]), total suspended matter ([TSM]), and Secchi disk depth (ZSD). The relationship between in situ ZSD and Kd_z90max product (i.e., the depth of the water column from which 90% of the water-leaving irradiance is derived) of the C2RCC processors demonstrated the potential of this product for estimating water clarity (r > 0.75). However, [TSM] and [Chl-a] derived from the different processors with default calibration factors were not suitable within the targeted scenarios, requiring recalibration based on optical water types or a shift to dynamic algorithm blending approaches. This would benefit from switching between C2RCC and C2XC, which extends the potential for improving surface reflectance estimates to a wide range of scenarios and suggests a promising future for C2-Nets in operational monitoring of water quality.info:eu-repo/semantics/publishedVersio

Monitoring coastal storms’ effects on the Trabucador barrier beach (Ebro Delta) through Sentinel-2 derived shorelines

The vulnerable Trabucador barrier beach has recently suffered significant storm-induced geomorphological changes. This study presents the monitoring of its shoreline during storm events for assessing their effects on beach dynamics. After fine-tuning the CoastSat tool (i.e. optimal NDWI threshold) for shoreline extraction from Sentinel-2 imagery (S2), results were validated with GNSS-RTK reference shorelines (RMSE = 6.8 m). Shorelines were extracted from Dec-2019 to Feb-2021, encompassing 11 storms (Hs > 2m; duration = 24h), including Gloria (Jan-2020). Results showed that S2 imagery provides enough temporal and spatial resolution to capture the storm effects on the site. The shoreline timeseries gave relevant information about the geomorphological processes occurring during storm events (barrier breaching, erosion, washover), allowing the assessment of their cumulative effects. These results might be important for coastal management, in a site suffering from chronic flooding.Peer ReviewedPostprint (author's final draft

Momento Económico (33)

En este número Temas de hoy, 2/ La apertura comercial en 1987, hacia una evaluación preliminar Arturo Ortiz Wadgyrnar, 3/ El presupuesto para 1988: ¿Hasta cuando el peso de la Deuda? Constantino Pérez Morales, 6/ Los bonos cupón cero: una opción fuera de tiempo, Jesús Rivera de la Rosa, 10/ El transporte de la ciudad: retos actuales y futuros Bernardo Navarro Benítez, 12/ La economía mexicana en el final de un sexenio de crisis Raúl González Soriano, 13/ Canasta alimenticia del trabajador universitario Magdalena Alba, Ana Luisa González, María Eugenia Santillan y otras, 15

Health literacy and its relation to continuing with breastfeeding at six months post-partum in a sample of Spanish women

Aim To explore the relation between health literacy (HL) and continuing breastfeeding (BF) at 6 months post-partum. Design Observational, longitudinal and prospective study between December 2018–May 2019. The STROBE checklist was used. Methods 114 mother/baby pairings from a Spanish Hospital were included. Mothers’ health literacy was studied with the Newest Vital Sign and Short Assessment of Health Literacy for Spanish Adults 50 (SAHLSA-50). Before hospital discharge, BF efficiency was studied using the LATCH BF score and BF continuity was followed for 6 months. Survival analysis and Cox regression were done. Results Health literacy levels and BF effectiveness were adequate before hospital discharge. At 6 months post-partum, less than half the sample still exclusively breastfed. The main reason for early exclusive BF cessation was lower than the recommended newborn weight gain. The HL level acted as a protective factor against abandonment of BF