Challenges in the wind turbines location process in Central Europe – The use of spatial decision support systems

Kazak, Jan; Hoof, Joost van; Szewrański, Szymon

doi:10.1016/j.rser.2017.03.039

Cited by 97 publications

(55 citation statements)

References 57 publications

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“…Other aspects that were studied were the environmental aspects and impacts of urban sprawl: land take and soil sealing [73,74], water consumption increase [75], surface water pollution from new traffic infrastructure [76], low emission and air pollution [77], potential of renewable energy production [78,79], landscape diversification and conversion [80,81], and changes in ecosystem benefits and services [82,83].…”

Section: Study Sitementioning

confidence: 99%

Pluvial Flood Risk Assessment Tool (PFRA) for Rainwater Management and Adaptation to Climate Change in Newly Urbanised Areas

Szewrański

Chruściński

Kazak

et al. 2018

Water

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Abstract:The aim of this research is to develop the Pluvial Flood Risk Assessment tool (PFRA) for rainwater management and adaptation to climate change in newly urbanised areas. PFRA allows pluvial hazard assessment, as well as pluvial flood risk mapping. The original model was created using ArcGIS software with the ArcHydro extension, and the script was written using the Python programming language. The PFRA model effectively combines information about land cover, soils, microtopography (LiDAR data), and projected hydro-meteorological conditions, which enables the identification of the spatial and temporal distribution of pluvial flood risks in newly developed areas. Further improvements to the PFRA concern the quantification of pluvial flood-related damages, the application of high resolution precipitation data, and the optimisation of coding.

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Section: Study Sitementioning

confidence: 99%

Pluvial Flood Risk Assessment Tool (PFRA) for Rainwater Management and Adaptation to Climate Change in Newly Urbanised Areas

Szewrański

Chruściński

Kazak

et al. 2018

Water

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“…In recent years, there have many examples of the use of the Spatial Decision Support System in combination with multi-criteria analysis, especially in the field of land-use planning, sustainability assessment, and environmental decision-making [16,[24][25][26][27][28]. The SMDSS refers to the application of multi-criteria analysis in a spatial context where alternatives, criteria, and other elements of the decision problem have a spatial dimension.…”

Section: Spatial Multi-criteria Decision Support Systemmentioning

confidence: 99%

Spatial Multi-Criteria Decision Support System and Strategic Environmental Assessment: A Case Study

Torrieri

Batà

2017

Buildings

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This contribution focuses on the Strategic Environmental Assessment (SEA) as an important tool to ensure sustainable development and reach a high level of environmental protection. More specifically, this paper provides an evaluation method based on the integration of Geographic Information System (GIS) and Multi-criteria Analysis-named Integrated Spatial Multi-criteria Decision Support System (ISMDSS)-to support the preparation of environmental assessment reports and the construction of scenarios for the adoption of urban plans, as an innovative tool that integrates objectives and multidimensional (economic, environmental, and social) components, as well as different approaches and models for the construction of a long-term shared vision. In particular, considerations are made by presenting a thought-provoking case study on the SEA of the urban plan of the municipality of Marzano di Nola, located in the province of Avellino in the Campania region. The experiment carried out showed the potentiality of the ISMDSS to evaluate the impacts of different scenarios with the aim of developing a sustainable urban municipal plan. The spatial dimension is useful in understanding the dynamics that characterize each environmental topic in a specific area, by considering not only the components of the natural and developed environment, but also the interactions with social and economic components.

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“…Therefore, different approaches that are based on scenario analysis and indicator-based impact assessment are often used in land use modelling [22,23]. Land use modelling can be based on the use of descriptive methods, such as stock-flow diagrams [24], or mathematical relations that can be presented in formulas [25], which are categorized as spatial econometric methods [26][27][28]. In case of the use of spatial econometric methods, it is possible to incorporate decision support systems to optimize problems, which refer to geographical dimensions [29].…”

Section: Introductionmentioning

confidence: 99%

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

Kazak

2018

Sustainability

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Abstract:The increasing level of antropopression has a negative impact on environmental resources and has reached the level of our planetary boundaries. One limitation is land use change caused by urbanization. Global policies prove the need to undertake action in order to develop more sustainable human settlements, which would be adapted better to potential future climate change effects. Among such changes are the increase of average temperatures and extreme events like heat waves. Those changes are more severe in urban areas due to land use development, and result in the urban heat island effect (UHI), which has a negative impact on the thermal comfort of citizens. The paper presents a decision support system that can be used for the assessment of areas to the potential exposure to the UHI effect. The system integrates scenario analysis, land use modelling in cellular automata (Metronamica), and an indicator-based assessment in a geographic information system (ArcGIS). The applicability of the model is illustrated through developing scenarios for the future land use allocation of the Wrocław Larger Urban Zone (Poland). The results of the calculations show which scenario is the least vulnerable to UHI effects. Moreover, for each scenario, cores of urban areas were identified, in which certain urban design patterns accounting for adaptation to climate change could be implemented. The study provides a guideline for local authorities on where to focus actions in order to create more sustainable urban structures and to better adapt to climate change and environmental extremes.

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Challenges in the wind turbines location process in Central Europe – The use of spatial decision support systems

Cited by 97 publications

References 57 publications

Pluvial Flood Risk Assessment Tool (PFRA) for Rainwater Management and Adaptation to Climate Change in Newly Urbanised Areas

Pluvial Flood Risk Assessment Tool (PFRA) for Rainwater Management and Adaptation to Climate Change in Newly Urbanised Areas

Spatial Multi-Criteria Decision Support System and Strategic Environmental Assessment: A Case Study

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

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