Adaptation to health outcomes of climate change and variability at the city level: An empirical decision support tool

2019 ◽  
Vol 47 ◽  
pp. 101512 ◽  
Author(s):  
Samraj Sahay
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Health Outcomes ◽  
Decision Support Tool ◽  
Support Tool ◽  
Climate Change And Variability ◽  
The City

A Model-Based Decision Support Tool Using Fuzzy Optimization for Climate Change

2011 ◽  
pp. 388-393 ◽  
Author(s):  
Omar S. Soliman ◽  
Aboul Ella Hassanien ◽  
Neveen I. Ghali ◽  
Nashwa El-Bendary ◽  
Ruhul A. Sarker
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Fuzzy Optimization ◽  
Decision Support Tool ◽  
Support Tool ◽  
Model Based

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.

scholarly journals WEB-BASED DECISION SUPPORT TOOL FOR BUILDING-INTEGRATED SOLAR PHOTOVOLTAIC SYSTEMS

2020 ◽  
Vol V-4-2020 ◽  
pp. 109-114
Author(s):  
A. K. Adeleke ◽  
J. L. Smit
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Photovoltaic Systems ◽  
Solar Photovoltaic ◽  
Web Based ◽  
Support Tool ◽  
Building Roof ◽  
Short Period ◽  
Building Integrated Photovoltaic ◽  
The City

Abstract. A web-based multi-criteria decision support tool is designed to support the planning, control and deployment of building-integrated photovoltaic (BIPV) in the City of Cape Town, South Africa. Solar energy is one of the renewable sources for generating electricity by means of photovoltaic systems, and it offers a viable and expedient means of generating electricity within a short period of time. Nevertheless, there are some impediments to the extensive deployment of solar photovoltaic systems. The most prominent among these are generation potential and the high capital cost of initial set-up. Hence, the location, design and yield of building-integrated photovoltaic systems have to be well thought-out before their deployment. The interactive web-based tool designed utilises JavaScript and Hypertext Mark-up Language (HTML) to implement a map mashup, which can be queried to retrieve vital information about the solar photovoltaic potential of a building roof. From results generated and the system developed, it becomes possible to remotely and sufficiently evaluate buildings in the city in order to make decisions about solar photovoltaic potentials, designs and installations.

scholarly journals A DECISION SUPPORT TOOL ON DERELICT BUILDINGS FOR URBAN REGENERATION

2018 ◽  
Vol IV-4/W7 ◽  
pp. 19-25
Author(s):  
I. Blečić ◽  
A. Cecchini ◽  
M. Minchilli ◽  
L. F. Tedeschi ◽  
G. A. Trunfio
Keyword(s):  
Decision Support ◽  
Economies Of Scale ◽  
Search Algorithm ◽  
Urban Regeneration ◽  
Decision Support Tool ◽  
Support Tool ◽  
Area Of Interest ◽  
The City ◽  
Selection Of

<p><strong>Abstract.</strong> We present a decision suppport tool for the comparison and selection of projects of integrated renovation of derelict buildings and areas for the purpose of urban regeneration. Each project is defined as a subset of derelict properties to renovate together with their respective designated use, and is scored by the decision support tool on two criteria: expected effort and estimated effectiveness in terms of improved urban capabilities in the urban area of interest. The expected effort is estimated as a global transformation cost, factoring in legal and management overhead costs as well as possible economies of scale. The effectiveness in evaluated in terms of extension of urban capabilities centred on walkable distances. We have implemented a bi-objective evolutionary search algorithm to address the computational complexity of the problem of search for efficient (non-dominated) projects over the two criteria. For the purpose of illustration, we present an example case-study application on the historical core of the city of Sassari, Italy.</p>

scholarly journals A Decision Support Tool for Assessing the Impact of Climate Change on Multiple Ecosystem Services

Forests ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 440 ◽  
Author(s):  
Irina Cristal ◽  
Aitor Ameztegui ◽  
Jose Ramon González-Olabarria ◽  
Jordi Garcia-Gonzalo
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Ecosystem Services ◽  
Forest Management ◽  
Decision Support Tool ◽  
Tree Level ◽  
Support Tool ◽  
Simulation Engine ◽  
User Centric ◽  
The Impact

In the climate change era, forest managers are challenged to use innovative tools to encourage a sustained provision of goods and services. Many decision support tools (DSTs), developed to address global changes in forest management practices, reflect the complexity of the scientific knowledge produced, a fact that could make it difficult for practitioners to understand and adopt them. Acknowledging the importance of knowledge transfer to forestry practitioners, this study describes a user-centric decision support software tool, aiming to assess forest management and climate change impacts on multiple ecosystem services (ESs) at a stand level. SORTIE-ND, a spatially explicit tree-level simulator for projecting stand dynamics that is sensitive to climate change, is encapsulated into the decision support tool and used as the simulation engine for stand development. Linking functions are implemented to evaluate ecosystem services and potential risks, and decision support is provided in form of interactive 2D and 3D visualizations. Five main components were identified to delineate the workflow and to shape the decision support tool: the information base, the alternative generator, the forest simulator, the ecosystem services calculator, and the visualization component. In order to improve the interaction design and general user satisfaction, the usability of the system was tested at an early stage of the development. While we have specifically focused on a management-oriented approach through user-centric interface design, the utilization of the product is likely to be of importance in facilitating education in the field of forest management.

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