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

Objective

Coastal lagoons are ecosystems with great environmental and socioeconomic value. However, these natural systems are especially vulnerable to climatic and anthropogenic pressures, such as intensive agriculture and extensive urbanization as a consequence of the tourist development. Despite the vulnerability and complexity of these ecosystems, there has been limited development of novel techniques which can provide real-time monitoring, analysis and management of these critical resources. Beyond being useful for policy-making procedures at multiple levels of granularity, these tools can increase local and citizen awareness of environmental impacts. SMARTLAGOON project intends to develop a digital twin to build a systemic understanding of the socio-environmental inter-relationships affecting costal lagoons and their ecosystem. It will digitally replicate the policy-making procedure of these complex socio-environmental systems by combining, analyzing and interpreting data from different sources; including efficient in-situ IoT infrastructures with edge computing capabilities that reduce the overall system’s carbon footprint, remote sensing technologies, social media sensing, open-data repositories and data from human behavior, economics and the social sciences, by making recourse to advanced AI, NLP, physically-based and citizen science models. As a case study, SMARTLAGOON focuses on the Europe’s largest salt water coastal lagoon, i.e., Mar Menor (Murcia, Spain), which has suffered serious environmental degradation due to several socio/environmental reasons. We will jointly develop our tool with citizens, stakeholders and policy-makers of this area to address their needs and requirements, following an agile methodology to ensure practical and useful results for this particular scenario in the first instance and extend to other coastal lagoons in the second instance.

Field of science

  • /social sciences
  • /natural sciences/biological sciences/ecology/ecosystems
  • /engineering and technology/environmental engineering/remote sensing

Call for proposal

H2020-FETPROACT-2020-2
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Funding Scheme

RIA - Research and Innovation action

Coordinator

FUNDACION UNIVERSITARIA SAN ANTONIO
Address
Avda Jeronimos Campus Universi S/n Universidad Catolica San Antonio
30107 Murcia
Spain
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 687 875

Participants (7)

UNIVERSITAT POLITECNICA DE VALENCIA
Spain
EU contribution
€ 537 212,46
Address
Camino De Vera Sn Edificio 3A
46022 Valencia
Activity type
Higher or Secondary Education Establishments
WATERITECH APS
Denmark
EU contribution
€ 566 155
Address
Krakesvej 53
8660 Skanderborg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UPPSALA UNIVERSITET
Sweden
EU contribution
€ 418 783,75
Address
Von Kraemers Alle 4
751 05 Uppsala
Activity type
Higher or Secondary Education Establishments
NORSK INSTITUTT FOR VANNFORSKNING
Norway
EU contribution
€ 578 847,50
Address
Gaustadalleen 21
0349 Oslo
Activity type
Research Organisations
ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Italy
EU contribution
€ 314 375
Address
Via Zamboni 33
40126 Bologna
Activity type
Higher or Secondary Education Establishments
PHOTRACK AG
Switzerland
EU contribution
€ 521 250
Address
Am Wasser 148
8049 Zurich
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
VIELCA INGENIEROS SA
Spain
EU contribution
€ 347 815
Address
Avenida Aragon 17 Entresuelo
46010 Valencia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)