Innovative modelling approaches for predicting Socio-environMentAl evolution in highly anthRopized coasTal LAGOONs

Informazioni relative al progetto

SMARTLAGOON

ID dell’accordo di sovvenzione: 101017861

DOI

10.3030/101017861

Progetto chiuso

Data della firma CE 1 Dicembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 31 Dicembre 2024

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 3 981 907,50

Contributo UE

€ 3 972 313,71

Coordinato da

FUNDACION UNIVERSITARIA SAN ANTONIO
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (19)

Short note summarizing the stakeholder needs for the forecast portal

This deliverable will include a summary of the stakeholder needs for the forecast portal based on the results of enduser workshops held to identify stakeholder expectations wishes and needs

Public Participation Plan

The Public participation plan will detail which stakeholder groups should be addressed how and when they should be engaged as well as what the expected outcome of these activities will be Considering citizens in such a plan we will define which citizen science activities will be employed to capture their attention towards environmental issues in order to look at such issues through scientific eyes

Blueprint for a full-fledged system for environmental intelligence (final version)

By the end of the fourth year of the project, this task will include a Blueprint on Environmental Intelligence, based on the collaboration between the five projects funded under the topic of Environmental Intelligence (I-SEED, RAMONES, RESET, WATCHPLANT and SMARTLAGOON).

Description of BMPs and policies and associated scenarios for water pollution control and flood mitigation measures

The deliverable will map the coupled socioeconomic and environmental dynamics in the Mar Menor identifying potential actions to counteract negative dynamics and draft a conceptual model

Communication, Dissemination & Exploitation Plan

The report will outline and detail the strategy for the different communication activities that will be employed during the project based on the different target audiences addressed in this project The communication strategy includes a project website where to find all public information and news about the project social media campaigns creation of blogs launching specific hashtags communications and press releases communication during academic initiatives open days sciences cafes local science fair and Researchers Night events

Report on the outcomes of the long-term (decades) scenarios of socio-environmental dynamics

This deliverable will show the efficiency of the simulated long-term scenarios of socio-environmental dynamics on the Mar menor lagoon.

Communication, Dissemination and Exploitation Impact Reports

In order to monitor and assess the communication plan, some indicators both qualitative and quantitative will be established to measure the outreach of our strategy and the impact on the different target groups in the Communication Impact Report. The impact of our communication strategy will be measured at different levels: Socio-economic, environment impact, citizenship and institutional.It is foreseen to have an internal periodic version in M18 and M36 before submitting the finished report in M48.

Prototype of remote in-situ IoT infrastructure with edge capabilities

This deliverable will describe two different efficient IoT infrastructures that will be deployed at Mar Menor Lagoon and Segura watershed (Spain) by making recourse to edge computing and advanced artificial intelligence techniques.

Complete GOTM-WET model setup for Mar Menor

This deliverable will demonstrate the complete GOTM-WET model setup for Mar Menor, including a tested coupled watershed - lagoon model for Mar Menor.

Blueprint for a full-fledged system for environmental intelligence (third version)

By the end of the third year of the project, this task will include a Blueprint on Environmental Intelligence, based on the collaboration between the five projects funded under the topic of Environmental Intelligence (I-SEED, RAMONES, RESET, WATCHPLANT and SMARTLAGOON).

Joint Collaboration Task Work Plan

Selected projects funded under the topic of Environmental Intelligence will develop a collaboration plan in M6 including common activities such as a summer school scientific workshop a special issue in a multidisciplinary journal related to environmental issues or Knowledge Transfer Sessions with policymakers and relevant stakeholders This collaboration plan can be updated during the project lifetime

Blueprint for a full-fledged system for environmental intelligence (second version)

By the end of the second year of the project, this task will include a Blueprint on Environmental Intelligence, based on the collaboration between the five projects funded under the topic of Environmental Intelligence (I-SEED, RAMONES, RESET, WATCHPLANT and SMARTLAGOON).

Technical brief on the environmental, economic, social and legislative conditions and constraints of the Mar Menor region and thematic maps to be used in task 3.2

The deliverable will include a review of current legislation influencing the water use and quality in the Mar Menor catchment a targeted document analysis of local and regional strategies and an assembly of historic statistical socioenvironmental data

Report on results of machine learning approaches for flood, algal bloom and hypoxia predictions

This deliverable will check the efficiency of the application of new machine learning algorithms for predicting stream discharge, flood events, algal blooms and hypoxia.

Report on sensing technologies validation at Erken lake

This deliverable will define the environmental variables that should be acquired to improve the management of Mar Menor and compare these when measured by both conventional and unconventional means Data will be available from conventional monitoring and laboratory analysis at Erken lake

Report: Sustainability of the Mar Menor region - A participatory system dynamics conceptual model

This deliverable will show a system dynamics (SD) model capturing coupled socio-environmental dynamics in the Mar Menor catchment using Vensim software.

Report on socio-environmental variables publicly available

This deliverable will show all openly socioenvironmental available data needed for model development in WPs 3 and 4

Blueprint for a full-fledged system for environmental intelligence (first version)

By the end of the first year of the project this task will include a Blueprint on Environmental Intelligence based on the collaboration between the five projects funded under the topic of Environmental Intelligence ISEED RAMONES RESET WATCHPLANT and SMARTLAGOON

Complete SWAT + model setup for Mar Menor

This deliverable will show the complete SWAT model setup for Mar Menor including a complete description of the calibration and validation processes

Demonstrators, pilots, prototypes (1)

Operational digital twin web application for decision making and people awareness

This deliverable will compile previous forecast modules and real-time tracking in a digital twin application for decision-making.

Open Research Data Pilot (1)

Data Management Plan

The deliverable will establish the projects management on how research data and information particularly facts or numbers are collected examined and considered and to serve as a basis for reasoning discussion or calculation and well as how Smartlagoon ensures open access to research data the right to access and reuse digital research data under the terms and conditions set out in the Grant AgreementThe DMP D69 will also include detailed information on data management procedures including detailed explanation about the relevance of all the data targeted and limited to the purposes of the research project in accordance with the data minimisation principle description of the technical and organisational measures that will be implemented to safeguard the rights and freedoms of the data subjectsresearch participants description of the security measures that will be implemented to prevent unauthorised access to personal data or the equipment used for processing description of the anonymysationpseudonymisation techniques that will be implemented in case of further processing of previously collected personal data an explicit confirmation that the beneficiary has lawful basis for the data processing and that the appropriate technical and organizational measures are in place to safeguard the rights of the data subjects

Other (1)

System dynamics model learning tool

This deliverable will show a systems dynamic model tool based on available historic data sets, results from the stakeholder processes, the model run results and the crowdsensing activities.

Pubblicazioni

Peer reviewed articles (19)

Multi‐Model Machine Learning Approach Accurately Predicts Lake Dissolved Oxygen With Multiple Environmental Inputs

Autori: Shuqi Lin, Donald C. Pierson, Robert Ladwig, Benjamin M. Kraemer, Fenjuan R. S. Hu
Pubblicato in: Earth and Space Science, Numero 11, 2024, ISSN 2333-5084
Editore: American Geophysical Union
DOI: 10.1029/2023ea003473

Impact of Climate Change on the Hydrology of the Forested Watershed That Drains to Lake Erken in Sweden: An Analysis Using SWAT+ and CMIP6 Scenarios

Autori: Inmaculada C. Jiménez-Navarro, Patricia Jimeno-Sáez, Adrián López-Ballesteros, Julio Pérez-Sánchez and Javier Senent-Aparicio
Pubblicato in: Forests, Numero 12(12), 2021, ISSN 1999-4907
Editore: MDPI Open Access Publishing
DOI: 10.3390/f12121803

AlLoRa: Empowering environmental intelligence through an advanced LoRa-based IoT solution

Autori: Benjamín Arratia, Erika Rosas, Carlos T. Calafate, Juan-Carlos Cano, José M. Cecilia, Pietro Manzoni
Pubblicato in: Computer Communications, Numero 218, 2024, Pagina/e 44-58, ISSN 0140-3664
Editore: Elsevier BV
DOI: 10.1016/j.comcom.2024.02.014

WATERSensing: A Smart Warning System for Natural Disasters in Spain

Autori: Jose M. Cecilia, Juan-Carlos Cano, Carlos T. Calafate, Pietro Manzoni, Carlos Perinan-Pascual, Francisco Arcas-Tunez, Andres Munoz-Ortega
Pubblicato in: IEEE Consumer Electronics Magazine, Numero 10, 2022, Pagina/e 89-96, ISSN 2162-2256
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/mce.2021.3063703

DSOLMap, a novel high-resolution global digital soil property map for the SWAT+ model: Development and hydrological evaluation

Autori: Adrián López-Ballesteros, Anders Nielsen, Gerardo Castellanos-Osorio, Dennis Trolle, Javier Senent-Aparicio
Pubblicato in: Catena, 2023, ISSN 0341-8162
Editore: Elsevier BV
DOI: 10.1016/j.catena.2023.107339

Extreme Flooding Events in Coastal Lagoons: Seawater Parameters and Rainfall over A Six-Year Period in the Mar Menor (SE Spain)

Autori: Mariana Machado Toffolo, Federica Grilli, Catia Prandi, Stefano Goffredo, Mauro Marini
Pubblicato in: Journal of Marine Science and Engineering, Numero 10, 2024, Pagina/e 1521, ISSN 2077-1312
Editore: MDPI
DOI: 10.3390/jmse10101521

Low-cost automated GPS, electrical conductivity and temperature sensing device (EC + T Track) and Android platform for water quality monitoring campaigns

Autori: Pablo Blanco-Gómez, José Luis Jiménez-García, Jose M. Cecilia
Pubblicato in: HardwareX, Numero Volume 13, March 2023, e00381, 2022, ISSN 2468-0672
Editore: ELSEVIER
DOI: 10.1016/j.ohx.2022.e00381

Assessment of oceanographic services for the monitoring of highly anthropised coastal lagoons: The Mar Menor case study

Autori: José G. Giménez, Alberto Granero, Javier Senent-Aparicio, Francisco Gómez-Jakobsen, Jesús M. Mercado, Pablo Blanco-Gómez, Juan M. Ruiz, José M. Cecilia
Pubblicato in: Ecological Informatics, Numero 81, 2024, Pagina/e 102554, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/j.ecoinf.2024.102554

Application of an integrated catchment-lake model approach for simulating effects of climate change on lake inputs and biogeochemistry

Autori: Inmaculada C Jiménez-Navarro, Jorrit P Mesman, Don Pierson, Dennis Trolle, Anders Nielsen, Javier Senent-Aparicio
Pubblicato in: Science of the Total Environment, 2023, ISSN 0048-9697
Editore: Elsevier BV
DOI: 10.1016/j.scitotenv.2023.163946

Enhancing shallow water quality monitoring efficiency with deep learning and remote sensing: A case study in Mar Menor

Autori: José G. Giménez, Martín González, Raquel Martínez-España, José M. Cecilia, José J. López-Espín
Pubblicato in: Journal of Ambient Intelligence and Smart Environments, 2024, Pagina/e 1-18, ISSN 1876-1364
Editore: IOS Press
DOI: 10.3233/ais-230461

CPR Algorithm—A new interpolation methodology and QGIS plugin for Colour Pattern Regression between aerial images and raster maps

Autori: Pablo Blanco-Gómez, Constancio Amurrio-Garcia, José Luis Jiménez-García, Jose M. Cecilia
Pubblicato in: SoftwareX, Numero Volume 22, May 2023, 101356, 2023, ISSN 2352-7110
Editore: ELSEVIER
DOI: 10.1016/j.softx.2023.101356

Analysing the Impact of Climate Change on Hydrological Ecosystem Services in Laguna del Sauce (Uruguay) Using the SWAT Model and Remote Sensing Data

Autori: Celina Aznarez; Patricia Jimeno-Sáez; Adrián López-Ballesteros; Juan Pablo Pacheco; Javier Senent-Aparicio
Pubblicato in: Remote Sens, Numero 13(10), 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13102014

Ecological Crisis from Children’s Perspective: Lessons Learned and Their Importance in Shaking Up Social Awareness

Autori: Inmaculada C. Jiménez-Navarro, Catia Prandi, José Giner Pérez de Lucía, José M. Cecilia, Javier Senent-Aparicio
Pubblicato in: Sustainability, Numero 16, 2024, Pagina/e 10824, ISSN 2071-1050
Editore: MDPI Open Access Publishing
DOI: 10.3390/su162410824

In Situ and Crowd-Sensing Techniques for Monitoring Flows in Ephemeral Streams

Autori: José M. Cecilia, Daniel Hernández, Benjamin Arratia, Salvador Peña-Haro, Javier Senent-Aparicio
Pubblicato in: IEEE Network, Numero 37, 2023, Pagina/e 310-317, ISSN 0890-8044
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.005.2200545

Evaluating the Potential of GloFAS-ERA5 River Discharge Reanalysis Data for Calibrating the SWAT Model in the Grande San Miguel River Basin (El Salvador)

Autori: Javier Senent-Aparicio; Pablo Blanco-Gómez; Adrián López-Ballesteros; Patricia Jimeno-Sáez; Julio Pérez-Sánchez
Pubblicato in: Remote Sens, Numero 13(16), 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13163299

A holistic approach for determining the hydrology of the mar menor coastal lagoon by combining hydrological & hydrodynamic models

Autori: Javier Senent-Aparicio, Adrián López-Ballesteros, Anders Nielsen, Dennis Trolle
Pubblicato in: Journal of Hydrology, Numero Volume 603, Part D, December 2021, 127150, 2021, ISSN 0022-1694
Editore: Elsevier BV
DOI: 10.1016/j.jhydrol.2021.127150

Timing of spring events changes under modelled future climate scenarios in a mesotrophic lake

Autori: Jorrit P. Mesman, Inmaculada C. Jiménez-Navarro, Ana I. Ayala, Javier Senent-Aparicio, Dennis Trolle, Don C. Pierson
Pubblicato in: Hydrology and Earth System Sciences, Numero 28, 2024, Pagina/e 1791-1802, ISSN 1607-7938
Editore: European Geophysical Union
DOI: 10.5194/hess-28-1791-2024

Assessing the effectiveness of potential best management practices for science-informed decision support at the watershed scale: The case of the Mar Menor coastal lagoon, Spain

Autori: Adrián López-Ballesteros, Dennis Trolle, Raghavan Srinivasan, Javier Senent-Aparicio
Pubblicato in: Science of the Total Environment, 2023, ISSN 0048-9697
Editore: Elsevier BV
DOI: 10.1016/j.scitotenv.2022.160144

Prediction of algal blooms via data-driven machine learning models: an evaluation using data from a well-monitored mesotrophic lake.

Autori: Lin, S., Pierson, D. C., & Mesman, J. P.
Pubblicato in: Geoscientific Model Development, 2023, ISSN 1991-959X
Editore: Copernicus Gesellschaft mbH
DOI: 10.5194/gmd-16-35-2023

Conference proceedings (8)

A modular and mesh-capable LoRa based Content Transfer Protocol for Environmental Sensing

Autori: Benjamín Arratia, Pedro García-Guillamón, Carlos T. Calafate, Juan-Carlos Cano, José M. Cecilia, Pietro Manzoni
Pubblicato in: 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 2024, Pagina/e 378-383
Editore: IEEE
DOI: 10.1109/ccnc51644.2023.10060496

Evaluating the use of machine learning algorithms in environmental sensing for energy saving

Autori: Giovanni Delnevo, Gianni Tumedei, Vittorio Ghini, Catia Prandi
Pubblicato in: NET4us '23: Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society, 2023
Editore: ACM
DOI: 10.1145/3615991.3616402

Chlorophyll-A Time Series Study on a Saline Mediterranean Lagoon: The Mar Menor Case

Autori: Arnau Garcá-i-Cucó, José Gellida-Bayarri, Beatriz Chafer-Dolz, Juan-Carlos Cano, José M. Cecilia
Pubblicato in: The 10th International Conference on Time Series and Forecasting, 2024, Pagina/e 65
Editore: MDPI
DOI: 10.3390/engproc2024068065

SMARTLAGOON: Innovative modelling approaches for predicting socio-environmental evolution in highly anthropized coastal lagoons

Autori: José M Cecilia, Pietro Manzoni, Dennis Trolle, Anders Nielsen, Pablo Blanco, Catia Prandi, Salvador Peña-Haro, Line Barkved, Don Pierson, Javier Senent
Pubblicato in: Proceedings of the Conference on Information Technology for Social Good, 2021, ISBN 978-1-4503-8478-0
Editore: ACM
DOI: 10.1145/3462203.3475925

Mirando a los ríos desde el mar. Viejos y nuevos debates para una transición hídrica justa

Autori: Pablo Blanco-Gómez, José M. Cecilia, William Colom-Montero
Pubblicato in: XII Congreso Ibérico de Gestión y Planificación del Agua, 2023
Editore: Universidad de Murcia
DOI: 10.6018/editum.3003

On integrating intelligent infrastructure and participatory monitoring for environmental modelling: the SMARTLAGOON approach

Autori: Catia Prandi, José M. Cecilia, Pietro Manzoni, Salvador Peña-Haro, Don Pierson, William Colom Montero, Pablo Blanco, Constancio Amurrio Garcìa, Inmaculada Jiménez Navarro, Javier Senent
Pubblicato in: Proceedings of the Conference on Information Technology for Social Good, 2022
Editore: ACM
DOI: 10.1145/3524458.3547228

Toward a Digital Twin: Combining Sensing, Machine Learning, and Data Visualization for the Effective Management of a Coastal Lagoon Environment

Autori: Giovanni Delnevo, Gianni Tumedei, Vittorio Ghini, Catia Prandi
Pubblicato in: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/ccnc51664.2024.10454647

Site identification and discharge measurements through Mobile Crowdsensing in the Mar Menor region

Autori: Salvador Peña-Haro, José M. Cecilia, Pablo Blanco-Gómez, Catia Prandi, and Javier Senent-Aparicio
Pubblicato in: IAHS-AISH Scientific Assembly 2022, 2022
Editore: IAHS
DOI: 10.5194/iahs2022-196