WebFRIS: An efficient web-based decision support tool to disseminate end-to-end risk information for flood management

2021 ◽  
Vol 288 ◽  
pp. 112456
Author(s):  
Mohit Prakash Mohanty ◽  
Subhankar Karmakar
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Flood Management ◽  
Risk Information ◽  
Web Based ◽  
Support Tool ◽  
End To End

scholarly journals Challenges involved in establishing a web-based clinical decision support tool in community health centers

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 100488
Author(s):  
Rachel Gold ◽  
Mary Middendorf ◽  
John Heintzman ◽  
Joan Nelson ◽  
Patrick O'Connor ◽  
...  
Keyword(s):  
Decision Support ◽  
Community Health ◽  
Clinical Decision Support ◽  
Community Health Centers ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Health Centers ◽  
Web Based ◽  
Support Tool ◽  
Clinical Decision Support Tool

SOSeas Web App: An assessment web-based decision support tool to predict dynamic risk of drowning on beaches using deep neural networks

2021 ◽  
pp. 1-20
Author(s):  
Javier García-Alba ◽  
Javier F. Bárcena ◽  
Luis Pedraz ◽  
Felipe Fernández ◽  
Andrés García ◽  
...  
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Deep Neural Networks ◽  
Decision Support Tool ◽  
Web Based ◽  
Support Tool ◽  
Dynamic Risk ◽  
Web App

scholarly journals A web-based decision support tool for groundwater remediation technologies selection

2006 ◽  
Vol 8 (2) ◽  
pp. 91-100 ◽  
Author(s):  
Olfa Khelifi ◽  
Andrea Lodolo ◽  
Sanja Vranes ◽  
Gabriele Centi ◽  
Stanislav Miertus
Keyword(s):  
Decision Support ◽  
Groundwater Remediation ◽  
Local Community ◽  
Decision Support Tool ◽  
Decision Makers ◽  
Relative Importance ◽  
Problem Complexity ◽  
Web Based ◽  
Support Tool ◽  
Promethee Ii

Groundwater remediation operation involves several considerations in terms of environmental, technological and socio-economic aspects. A decision support tool (DST) becomes therefore necessary in order to manage problem complexity and to define effective groundwater remediation interventions. CCR (Credence Clearwater Revival), a decision support tool for groundwater remediation technologies assessment and selection, has been developed to help decision-makers (site owners, investors, local community representatives, environmentalists, regulators, etc.) to assess the available technologies and select the preferred remedial options. The analysis is based on technical, economical, environmental and social criteria. These criteria are ranked by all involved parties to determine their relative importance for a particular groundwater remediation project. The Multi-Criteria Decision Making (MCDM) is the core of the CCR using the PROMETHEE II algorithm.

A Web-based GIS Decision Support Tool for Determining Corn Aflatoxin Risk: A Case Study Data from Southern Georgia, USA

2017 ◽  
Vol 8 (2) ◽  
pp. 718-723 ◽  
Author(s):  
F. Navarro ◽  
B. Ingram ◽  
R. Kerry ◽  
B. V. Ortiz ◽  
B. T. Scully
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Study Data ◽  
Corn Production ◽  
Web Based ◽  
Support Tool ◽  
Risk Areas ◽  
Southern Georgia ◽  
Case Study Data

Aflatoxin is a fungal toxin contaminating corn and causing liver cancer in humans and animals. Contamination is driven by high temperatures and drought. Aflatoxin assessment is expensive so extension services need to identify high risk areas so irrigation, planting strategies and corn varieties can be adapted. This research presents a web-based decision support tool for risk illustrated with a case study from southern Georgia. The tool employs the approach, developed by Kerry et al. (2017b) where exceedance of key thresholds in temperatures, rainfall, soil type and corn production are used to determine risk. The tool also includes NDVI to indicate drought stress and could be further expanded to include new risk factors and adapted to other crops.

A GIS AND WEB-BASED DECISION SUPPORT TOOL FOR THE MANAGEMENT OF URBAN SOILS

2004 ◽  
Vol 35 (5-6) ◽  
pp. 499-509 ◽  
Author(s):  
IAIN HOSSACK ◽  
DOUGLAS ROBERTSON ◽  
PETER TUCKER ◽  
ANDREW HURSTHOUSE ◽  
COLIN FYFE
Keyword(s):  
Decision Support ◽  
Urban Soils ◽  
Decision Support Tool ◽  
Web Based ◽  
Support Tool

Implementation, participation and satisfaction rates of a web-based decision support tool for patients with metastatic colorectal cancer

2019 ◽  
Vol 102 (7) ◽  
pp. 1331-1335
Author(s):  
Lotte Keikes ◽  
Judith de Vos-Geelen ◽  
Jan Willem B. de Groot ◽  
Cornelis J.A. Punt ◽  
Lieke H.J. Simkens ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Decision Support ◽  
Metastatic Colorectal Cancer ◽  
Decision Support Tool ◽  
Web Based ◽  
Support Tool ◽  
Satisfaction Rates

scholarly journals Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change

2015 ◽  
Vol 15 (7) ◽  
pp. 1457-1471 ◽  
Author(s):  
P. J. Knight ◽  
T. Prime ◽  
J. M. Brown ◽  
K. Morrissey ◽  
A. J. Plater
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Sea Level Rise ◽  
Sea Level ◽  
Flood Risk ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Web Based ◽  
Essential Information ◽  
Support Tool

Abstract. A pressing problem facing coastal decision makers is the conversion of "high-level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms, and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open-source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB (Shallow Water And Boussinesq) models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising-sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.

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