scholarly journals Feasibility of Using Existing Web-Services for On-Demand Data Access within Distributed Environmental Decision Support Systems

2016 ◽  
Author(s):  
Stuart Sheffield
Keyword(s):  
Decision Support ◽  
Web Services ◽  
Decision Support Systems ◽  
Support Systems ◽  
Data Access ◽  
On Demand ◽  
Environmental Decision Support Systems ◽  
Environmental Decision

scholarly journals Feasibility of using existing web services for on-demand data access within distributed environmental decision support systems

2017 ◽  
Vol 20 (2) ◽  
pp. 263-280
Author(s):  
Stuart F. Sheffield ◽  
Jonathan L. Goodall ◽  
Mohamed M. Morsy ◽  
Alexander B. Chen
Keyword(s):  
Decision Support ◽  
Web Services ◽  
Decision Support Systems ◽  
Support Systems ◽  
Response Times ◽  
Data Access ◽  
The United States ◽  
Environmental Data ◽  
Project Area ◽  
On Demand

Abstract Web services providing machine-accessible interfaces to environmental data are now commonplace. Building on this, a current trend is to expand these web services to provide on-demand access to model and analysis services. This progression suggests the future possibility of cloud-based decision support systems (DSSs) integrating distributed data and analysis services delivered through a host of providers. Such distributed environmental DSSs have many potential benefits, but would require highly scalable and responsive web services. The objective of this study is to assess the current feasibility of building distributed environmental DSSs from existing web services in the United States. Results show that, of the many available web services providing information about soils, river network topology, watersheds, streamflow, etc., response times are often only a few seconds for a small project area, but can grow exponentially as the project area increases. On-demand watershed delineation remains a slow-to-respond service relative to the other services tested. Also, the results suggest the need to better co-locate servers near client applications to speed up response times. Collectively, these results provide specific areas where future research is needed in order to achieve the vision of on-demand distributed environmental DSSs.

Designing and building real environmental decision support systems

2004 ◽  
Vol 19 (9) ◽  
pp. 857-873 ◽  
Author(s):  
Manel Poch ◽  
Joaquim Comas ◽  
Ignasi Rodríguez-Roda ◽  
Miquel Sànchez-Marrè ◽  
Ulises Cortés
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Environmental Decision Support Systems ◽  
Environmental Decision

On the Use of Abduction as an Alternative to Decision Trees in Environmental Decision Support Systems

2011 ◽  
Vol 2 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Franz Wotawa
Keyword(s):  
Decision Support ◽  
Decision Tree ◽  
Decision Support Systems ◽  
Decision Trees ◽  
Support Systems ◽  
Abductive Reasoning ◽  
Effect Model ◽  
Environmental Decision Support Systems ◽  
Environmental Decision

Although decision trees are frequently used in environmental decision support systems, they have shortcomings. In the case of an available model, decision trees have to be constructed manually from the model. Moreover, not all knowledge is represented in the decision tree. To overcome this issue, the author proposes the use of abductive reasoning directly applied to the available cause-effect model. In particular the abduction problem the author introduces (i.e., the problem of finding a cause for observed effects), shows how this problem can be extended to allow distinguishing between competing explanations, and discusses the integration of testing and repair actions within the framework. The latter is especially important in case of environmental decision support systems.

scholarly journals Crossing the Death Valley to Transfer Environmental Decision Support Systems to the Water Market

2017 ◽  
Vol 1 (3) ◽  
pp. 1700009 ◽  
Author(s):  
Manel Poch ◽  
Joaquim Comas ◽  
Ulises Cortés ◽  
Miquel Sànchez-Marrè ◽  
Ignasi Rodríguez-Roda
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Death Valley ◽  
Water Market ◽  
Environmental Decision Support Systems ◽  
Environmental Decision

Integrating citizen science, open and big data into water and environmental decision support systems

2020 ◽  
Author(s):  
Giuseppina Monacelli ◽  
Carlo Cipolloni ◽  
Lorenza Babbini ◽  
Maria Chiara Sole ◽  
Alessandro Lotti ◽  
...  
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Decision Support Systems ◽  
Environmental Protection ◽  
Citizen Science ◽  
Support Systems ◽  
Marine Pollution ◽  
Diverse Range ◽  
Environmental Decision Support Systems ◽  
Environmental Decision

<p>Water and environmental monitoring, observation and decision support systems (DSS) are being transformed by a wealth of open and big data that are increasingly available, accurate and timely. Consolidated technologies of earth observation, remote sensing, geospatial modelling and visualization systems are stimulating earth, hydrological and environmental sciences that are reacting not only with increasing scientific production, but with novel solutions-oriented methods, tools and algorithms. Procedures, methods and tools are more and more available for analysis, interpretation and mapping of river and basin coastal landscape features and hydro-environmental dynamics. Citizen science are further empowering the capabilities of DSS by gathering and sharing data on the human behaviour component to better understand the nature-human-urban interplay. Citizens, empowered by mobile devices, act as data and information producers, receivers and transmitters supporting the assessment of the effects of human-derived observations, feedbacks and actions sensing. Emerging hardware and software technologies (e.g. machine learning, artificial intelligence, IoT, etc.) are creating amazing opportunities for these DSS linked to the development of the human-machine interface and its use for promoting practical environmental and social actions to manage and mitigate natural hazard and climatic risks. The National System for Environmental Protection (SNPA) by the Italian Institute for Environmental Protection and Research (ISPRA) is supporting and implementing a wide and diverse range of research, applied research, learning and communication activities, both at the national and international level, in collaborating with leading academic, professional and international organizations, for integrating citizen science, open data and big data into next generation water and environmental decision support systems. This contribution, while depicting the overall SINA framework (Italian Environmental Information System) and ongoing and planned activities by ISPRA SNPA and SINA, presents recent outcomes of research initiatives developed within the Water JPI, UNEP INFORAC, National Plan for Climate Adaptation (PNACC), Marine pollution, Biodiversity, the Water, Food and Energy Nexus among others. Insights from joint research efforts and working groups are presented and shared while pursuing further synergies and stimulate the discussion on this crucial topic for national and international agencies, like ISPRA, that seek to transfer research data, models and tools into institutional and operational activities.</p>

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