| publications-2221 |
Peer reviewed articles |
2019 |
Maria Vittoria Barbieri, Cristina Postigo, Luis Simón Monllor-Alcaraz, Damià Barceló, Miren López de Alda |
A reliable LC-MS/MS-based method for trace level determination of 50 medium to highly polar pesticide residues in sediments and ecological risk assessment |
Analytical and Bioanalytical Chemistry |
10.1007/s00216-019-02188-0 |
AI & Machine Learning |
Natural Water Bodies |
|
No abstract available |
727450 |
|
|
|
| publications-2222 |
Peer reviewed articles |
2021 |
Cristina Postigo, Antoni Ginebreda, Maria Vittoria Barbieri, Damià Barceló, Jordi Martín-Alonso, Agustina de la Cal, Maria Rosa Boleda, Neus Otero, Raul Carrey, Vinyet Solà, Enric Queralt, Elena Isla, Anna Casanovas, Gemma Frances, Miren López de Alda |
Investigative monitoring of pesticide and nitrogen pollution sources in a complex multi-stressed catchment: The lower Llobregat River basin case study (Barcelona, Spain) |
Science of The Total Environment |
10.1016/j.scitotenv.2020.142377 |
Hydrological modeling |
Precipitation & Ecological Systems |
|
No abstract available |
727450 |
|
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|
| publications-2223 |
Peer reviewed articles |
2019 |
Phoebe A. Morton, Chris Fennell, Rachel Cassidy, Donnacha Doody, Owen Fenton, Per‐Erik Mellander, Phil Jordan |
A review of the pesticide MCPA in the land‐water environment and emerging research needs |
WIREs Water |
10.1002/wat2.1402 |
Hydrological modeling |
River Basins |
|
AbstractDue to its high solubility and poor adsorption to the soil matrix, the post‐emergence herbicide 2‐methyl‐4‐chlorophenoxyacetic acid (MCPA) is susceptible to transport into surface and groundwater bodies, where it can result in compromised water quality and breaches of legislative standards. However, there is still poor understanding of catchment scale dynamics and transport, particularly across heterogeneous hydrogeological settings. While it is known that MCPA degrades under aerobic conditions, negligible breakdown can occur in anaerobic environments, potentially creating a legacy in saturated soils. Fast runoff pathways post application are likely transport routes, but the relative contribution from the mobilization of legacy MCPA from anaerobic zones has yet to be quantified, making the delineation of MCPA sources encountered during monitoring programs challenging. While ecotoxicological effects have been examined, little is known about the interaction of MCPA (and its degradation products) with other pesticides, with nutrients or with colloids, and how this combines with environmental conditions to contribute to multiple stressor effects. We examine the state of MCPA knowledge, using case study examples from Ireland, and consider the implications of its widespread detection in waterbodies and drinking water supplies. Research themes required to ensure the sustainable and safe use of MCPA in an evolving agricultural, social and political landscape are identified here. These include the need to identify mitigation measures and/or alternative treatments, to gain insights into the conditions governing mobilization and attenuation, to map pathways of migration and to identify direct, synergistic and antagonistic ecotoxicological effects.This article is categorized under: Water and Life > Stresses and Pressures on Ecosystems Science of Water > Water Quality |
727450 |
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| publications-2224 |
Peer reviewed articles |
2020 |
Majid Ali Khan, Fabiola Barros Costa, Owen Fenton, Phil Jordan, Chris Fennell, Per-Erik Mellander |
Using a multi-dimensional approach for catchment scale herbicide pollution assessments |
Science of The Total Environment |
10.1016/j.scitotenv.2020.141232 |
Hydrological modeling |
River Basins |
|
No abstract available |
727450 |
|
|
|
| publications-2225 |
Peer reviewed articles |
2019 |
Jordi Quintana, Agustina de la Cal, M. Rosa Boleda |
Monitoring the complex occurrence of pesticides in the Llobregat basin, natural and drinking waters in Barcelona metropolitan area (Catalonia, NE Spain) by a validated multi-residue online analytical method |
Science of The Total Environment |
10.1016/j.scitotenv.2019.07.317 |
Simulation & Modeling |
Groundwater |
|
No abstract available |
727450 |
|
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| publications-2226 |
Peer reviewed articles |
2018 |
Luca Roffia, Paolo Azzoni, Cristiano Aguzzi, Fabio Viola, Francesco Antoniazzi, Tullio Salmon Cinotti |
Dynamic Linked Data: A SPARQL Event Processing Architecture |
Future Internet |
10.3390/fi10040036 |
Uncategorized |
Precipitation & Ecological Systems |
|
This paper presents a decentralized Web-based architecture designed to support the development of distributed, dynamic, context-aware and interoperable services and applications. The architecture enables the detection and notification of changes over the Web of Data by means of a content-based publish-subscribe mechanism where the W3C SPARQL 1.1 Update and Query languages are fully supported and used respectively by publishers and subscribers. The architecture is built on top of the W3C SPARQL 1.1 Protocol and introduces the SPARQL 1.1 Secure Event protocol and the SPARQL 1.1 Subscribe Language as a means for conveying and expressing subscription requests and notifications. The reference implementation of the architecture offers to developers a design pattern for a modular, scalable and effective application development. |
777112 |
|
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| publications-2227 |
Peer reviewed articles |
2020 |
Ivan Zyrianoff, Alexandre Heideker, Dener Silva, João Kleinschmidt, Juha-Pekka Soininen, Tullio Salmon Cinotti, Carlos Kamienski |
Architecting and Deploying IoT Smart Applications: A Performance–Oriented Approach |
Sensors |
10.3390/s20010084 |
AI & Machine Learning |
Natural Water Bodies |
|
Layered internet of things (IoT) architectures have been proposed over the last years as they facilitate understanding the roles of different networking, hardware, and software components of smart applications. These are inherently distributed, spanning from devices installed in the field up to a cloud datacenter and further to a user smartphone, passing by intermediary stages at different levels of fog computing infrastructure. However, IoT architectures provide almost no hints on where components should be deployed. IoT Software Platforms derived from the layered architectures are expected to adapt to scenarios with different characteristics, requirements, and constraints from stakeholders and applications. In such a complex environment, a one-size-fits-all approach does not adapt well to varying demands and may hinder the adoption of IoT Smart Applications. In this paper, we propose a 5-layer IoT Architecture and a 5-stage IoT Computing Continuum, as well as provide insights on the mapping of software components of the former into physical locations of the latter. Also, we conduct a performance analysis study with six configurations where components are deployed into different stages. Our results show that different deployment configurations of layered components into staged locations generate bottlenecks that affect system performance and scalability. Based on that, policies for static deployment and dynamic migration of layered components into staged locations can be identified. |
777112 |
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| publications-2228 |
Peer reviewed articles |
2020 |
Sergio Monteleone , Edmilson Alves de Moraes, Brenno Tondato de Faria, Plinio Thomaz Aquino Junior, Rodrigo Filev Maia, André Torre Neto, Attilio Toscano |
Exploring the adoption of Precision Agriculture for irrigation in the context of Agriculture 4.0: the key role of Internet of Things |
Sensors |
|
Uncategorized |
Uncategorized |
|
No abstract available |
777112 |
|
|
|
| publications-2229 |
Peer reviewed articles |
2019 |
Francesco Antoniazzi, Fabio Viola |
Building the Semantic Web of Things Through a Dynamic Ontology |
IEEE Internet of Things Journal |
10.1109/jiot.2019.2939882 |
Uncategorized |
Uncategorized |
|
No abstract available |
777112 |
|
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| publications-2230 |
Peer reviewed articles |
2019 |
Rodrigo Togneri; Carlos Kamienski; Ramide Dantas; Ronaldo Prati; Attilio Toscano; Juha-Pekka Soininen; Tullio Salmon Cinotti |
Advancing IoT-Based Smart Irrigation |
IEEE Internet of Things Magazine |
10.1109/iotm.0001.1900046 |
IoT & Sensors |
Water Distribution Networks |
|
No abstract available |
777112 |
|
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