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

Informations projet

SMARTLAGOON

N° de convention de subvention: 101017861

DOI

10.3030/101017861

Projet clôturé

Date de signature de la CE 1 Decembre 2020

Date de début 1 Janvier 2021

Date de fin 31 Decembre 2024

Financé au titre de

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Coût total

€ 3 981 907,50

Contribution de l’UE

€ 3 972 313,71

Coordonné par

FUNDACION UNIVERSITARIA SAN ANTONIO
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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.

Publications

Peer reviewed articles (19)

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

Auteurs: Shuqi Lin, Donald C. Pierson, Robert Ladwig, Benjamin M. Kraemer, Fenjuan R. S. Hu
Publié dans: Earth and Space Science, Numéro 11, 2024, ISSN 2333-5084
Éditeur: 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

Auteurs: Inmaculada C. Jiménez-Navarro, Patricia Jimeno-Sáez, Adrián López-Ballesteros, Julio Pérez-Sánchez and Javier Senent-Aparicio
Publié dans: Forests, Numéro 12(12), 2021, ISSN 1999-4907
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/f12121803

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

Auteurs: Benjamín Arratia, Erika Rosas, Carlos T. Calafate, Juan-Carlos Cano, José M. Cecilia, Pietro Manzoni
Publié dans: Computer Communications, Numéro 218, 2024, Page(s) 44-58, ISSN 0140-3664
Éditeur: Elsevier BV
DOI: 10.1016/j.comcom.2024.02.014

WATERSensing: A Smart Warning System for Natural Disasters in Spain

Auteurs: Jose M. Cecilia, Juan-Carlos Cano, Carlos T. Calafate, Pietro Manzoni, Carlos Perinan-Pascual, Francisco Arcas-Tunez, Andres Munoz-Ortega
Publié dans: IEEE Consumer Electronics Magazine, Numéro 10, 2022, Page(s) 89-96, ISSN 2162-2256
Éditeur: 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

Auteurs: Adrián López-Ballesteros, Anders Nielsen, Gerardo Castellanos-Osorio, Dennis Trolle, Javier Senent-Aparicio
Publié dans: Catena, 2023, ISSN 0341-8162
Éditeur: 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)

Auteurs: Mariana Machado Toffolo, Federica Grilli, Catia Prandi, Stefano Goffredo, Mauro Marini
Publié dans: Journal of Marine Science and Engineering, Numéro 10, 2024, Page(s) 1521, ISSN 2077-1312
Éditeur: 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

Auteurs: Pablo Blanco-Gómez, José Luis Jiménez-García, Jose M. Cecilia
Publié dans: HardwareX, Numéro Volume 13, March 2023, e00381, 2022, ISSN 2468-0672
Éditeur: 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

Auteurs: José G. Giménez, Alberto Granero, Javier Senent-Aparicio, Francisco Gómez-Jakobsen, Jesús M. Mercado, Pablo Blanco-Gómez, Juan M. Ruiz, José M. Cecilia
Publié dans: Ecological Informatics, Numéro 81, 2024, Page(s) 102554, ISSN 1574-9541
Éditeur: 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

Auteurs: Inmaculada C Jiménez-Navarro, Jorrit P Mesman, Don Pierson, Dennis Trolle, Anders Nielsen, Javier Senent-Aparicio
Publié dans: Science of the Total Environment, 2023, ISSN 0048-9697
Éditeur: 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

Auteurs: José G. Giménez, Martín González, Raquel Martínez-España, José M. Cecilia, José J. López-Espín
Publié dans: Journal of Ambient Intelligence and Smart Environments, 2024, Page(s) 1-18, ISSN 1876-1364
Éditeur: 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

Auteurs: Pablo Blanco-Gómez, Constancio Amurrio-Garcia, José Luis Jiménez-García, Jose M. Cecilia
Publié dans: SoftwareX, Numéro Volume 22, May 2023, 101356, 2023, ISSN 2352-7110
Éditeur: 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

Auteurs: Celina Aznarez; Patricia Jimeno-Sáez; Adrián López-Ballesteros; Juan Pablo Pacheco; Javier Senent-Aparicio
Publié dans: Remote Sens, Numéro 13(10), 2021, ISSN 2072-4292
Éditeur: 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

Auteurs: Inmaculada C. Jiménez-Navarro, Catia Prandi, José Giner Pérez de Lucía, José M. Cecilia, Javier Senent-Aparicio
Publié dans: Sustainability, Numéro 16, 2024, Page(s) 10824, ISSN 2071-1050
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/su162410824

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

Auteurs: José M. Cecilia, Daniel Hernández, Benjamin Arratia, Salvador Peña-Haro, Javier Senent-Aparicio
Publié dans: IEEE Network, Numéro 37, 2023, Page(s) 310-317, ISSN 0890-8044
Éditeur: 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)

Auteurs: Javier Senent-Aparicio; Pablo Blanco-Gómez; Adrián López-Ballesteros; Patricia Jimeno-Sáez; Julio Pérez-Sánchez
Publié dans: Remote Sens, Numéro 13(16), 2021, ISSN 2072-4292
Éditeur: 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

Auteurs: Javier Senent-Aparicio, Adrián López-Ballesteros, Anders Nielsen, Dennis Trolle
Publié dans: Journal of Hydrology, Numéro Volume 603, Part D, December 2021, 127150, 2021, ISSN 0022-1694
Éditeur: Elsevier BV
DOI: 10.1016/j.jhydrol.2021.127150

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

Auteurs: Jorrit P. Mesman, Inmaculada C. Jiménez-Navarro, Ana I. Ayala, Javier Senent-Aparicio, Dennis Trolle, Don C. Pierson
Publié dans: Hydrology and Earth System Sciences, Numéro 28, 2024, Page(s) 1791-1802, ISSN 1607-7938
Éditeur: 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

Auteurs: Adrián López-Ballesteros, Dennis Trolle, Raghavan Srinivasan, Javier Senent-Aparicio
Publié dans: Science of the Total Environment, 2023, ISSN 0048-9697
Éditeur: 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.

Auteurs: Lin, S., Pierson, D. C., & Mesman, J. P.
Publié dans: Geoscientific Model Development, 2023, ISSN 1991-959X
Éditeur: 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

Auteurs: Benjamín Arratia, Pedro García-Guillamón, Carlos T. Calafate, Juan-Carlos Cano, José M. Cecilia, Pietro Manzoni
Publié dans: 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 2024, Page(s) 378-383
Éditeur: IEEE
DOI: 10.1109/ccnc51644.2023.10060496

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

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

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

Auteurs: Arnau Garcá-i-Cucó, José Gellida-Bayarri, Beatriz Chafer-Dolz, Juan-Carlos Cano, José M. Cecilia
Publié dans: The 10th International Conference on Time Series and Forecasting, 2024, Page(s) 65
Éditeur: MDPI
DOI: 10.3390/engproc2024068065

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

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

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

Auteurs: Pablo Blanco-Gómez, José M. Cecilia, William Colom-Montero
Publié dans: XII Congreso Ibérico de Gestión y Planificación del Agua, 2023
Éditeur: Universidad de Murcia
DOI: 10.6018/editum.3003

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

Auteurs: 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
Publié dans: Proceedings of the Conference on Information Technology for Social Good, 2022
Éditeur: 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

Auteurs: Giovanni Delnevo, Gianni Tumedei, Vittorio Ghini, Catia Prandi
Publié dans: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024, Page(s) 1-6
Éditeur: IEEE
DOI: 10.1109/ccnc51664.2024.10454647

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

Auteurs: Salvador Peña-Haro, José M. Cecilia, Pablo Blanco-Gómez, Catia Prandi, and Javier Senent-Aparicio
Publié dans: IAHS-AISH Scientific Assembly 2022, 2022
Éditeur: IAHS
DOI: 10.5194/iahs2022-196