A Web-Based Observatory for Biogeochemical Assessment in Coastal Regions

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Informatics Pub Date : 2021-03-24 DOI:10.3808/JEI.202100450
M. Rodrigues, R. Martins, J. Rogeiro, A. Fortunato, Arnaldo S. R. Oliveira, A. Cravo, J. Jacob, A. Rosa, A. Azevedo, P. Freire
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引用次数: 15

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.
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沿海地区生物地球化学评价网络观测站
水观测站的概念被扩展,为河口生态系统的日常和长期管理创造了一个高度通用的工具。沿海天文台正在从简单的数据存储库发展到包括预报、情景分析和指标,并集成到提供多种产品和服务的网络平台中。在气候变化和人为压力日益增加的背景下,生态健康评估意味着生物地球化学状况得到充分量化并纳入沿海管理决策程序。这种量化需要精确的水动力学和生态学模型,在适当的尺度上解释所有相关的过程。这些模型必须应用于应急目的的预报模式和后报模式,以探索多种情景,作为气候变化适应战略的一部分,创造一个复杂的、大量的信息,与沿海管理人员共享。一个基于网络的门户网站,由一个全面的建模和预测框架支持,并沿着主要的水质/生物地球化学主题具体化,从数据到指标,在两个不同但复杂的沿海系统中开发和演示:塔古斯河口和Ria Formosa泻湖。本文首先从生态学和计算机科学的角度进行需求分析,然后给出了该框架的总体多层体系结构及其关键软件组件。天文台门户网站的实施和示范探讨了其对海岸管理的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
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.
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