M. Rodrigues, R. Martins, J. Rogeiro, A. Fortunato, Arnaldo S. R. Oliveira, A. Cravo, J. Jacob, A. Rosa, A. Azevedo, P. Freire
{"title":"沿海地区生物地球化学评价网络观测站","authors":"M. Rodrigues, R. Martins, J. Rogeiro, A. Fortunato, Arnaldo S. R. Oliveira, A. Cravo, J. Jacob, A. Rosa, A. Azevedo, P. Freire","doi":"10.3808/JEI.202100450","DOIUrl":null,"url":null,"abstract":"The concept of water observatories is extended to create a highly versatile tool for both the daily and the long-term man-agement of estuarine ecosystems. Coastal observatories are evolving from simple data repositories to include forecasts, scenarios’ ana-lyses and indicators, integrated in web platforms that provide multiple products and services. In a context of climate change (CC) and growing anthropogenic pressures, the assessment of the ecological health implies that the biogeochemical status is adequately quantified and incorporated in the coastal management decision-making procedure. This quantification requires accurate models for hydrodynamics and ecology that account for all relevant processes at the right scales. These models must be applied in forecast mode for emergency pur-poses and in hindcast mode to explore multiple scenarios as part of the CC adaptation strategy, creating a complex, vast amount of infor-mation to be shared with the coastal managers. A web-based portal supported by a comprehensive modeling and forecasting framework and materialized along the main water quality/biogeochemistry themes, from data to indicators, is developed and demonstrated in two distinct yet complex coastal systems: the Tagus estuary and the Ria Formosa lagoon. The paper starts with the requirements analysis from both ecological and computer science perspectives and then presents the overall multi-layered architecture of the framework and its key software components. The observatory portal implementation and demonstration explore its usefulness for coastal management.","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"37 1","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A Web-Based Observatory for Biogeochemical Assessment in Coastal Regions\",\"authors\":\"M. Rodrigues, R. Martins, J. Rogeiro, A. Fortunato, Arnaldo S. R. Oliveira, A. Cravo, J. Jacob, A. Rosa, A. Azevedo, P. Freire\",\"doi\":\"10.3808/JEI.202100450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of water observatories is extended to create a highly versatile tool for both the daily and the long-term man-agement of estuarine ecosystems. 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A Web-Based Observatory for Biogeochemical Assessment in Coastal Regions
The concept of water observatories is extended to create a highly versatile tool for both the daily and the long-term man-agement of estuarine ecosystems. Coastal observatories are evolving from simple data repositories to include forecasts, scenarios’ ana-lyses and indicators, integrated in web platforms that provide multiple products and services. In a context of climate change (CC) and growing anthropogenic pressures, the assessment of the ecological health implies that the biogeochemical status is adequately quantified and incorporated in the coastal management decision-making procedure. This quantification requires accurate models for hydrodynamics and ecology that account for all relevant processes at the right scales. These models must be applied in forecast mode for emergency pur-poses and in hindcast mode to explore multiple scenarios as part of the CC adaptation strategy, creating a complex, vast amount of infor-mation to be shared with the coastal managers. A web-based portal supported by a comprehensive modeling and forecasting framework and materialized along the main water quality/biogeochemistry themes, from data to indicators, is developed and demonstrated in two distinct yet complex coastal systems: the Tagus estuary and the Ria Formosa lagoon. The paper starts with the requirements analysis from both ecological and computer science perspectives and then presents the overall multi-layered architecture of the framework and its key software components. The observatory portal implementation and demonstration explore its usefulness for coastal management.
期刊介绍:
Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include:
- Planning of energy, environmental and ecological management systems
- Simulation, optimization and Environmental decision support
- Environmental geomatics - GIS, RS and other spatial information technologies
- Informatics for environmental chemistry and biochemistry
- Environmental applications of functional materials
- Environmental phenomena at atomic, molecular and macromolecular scales
- Modeling of chemical, biological and environmental processes
- Modeling of biotechnological systems for enhanced pollution mitigation
- Computer graphics and visualization for environmental decision support
- Artificial intelligence and expert systems for environmental applications
- Environmental statistics and risk analysis
- Climate modeling, downscaling, impact assessment, and adaptation planning
- Other areas of environmental systems science and information technology.