FLIAT, an object-relational GIS tool for flood impact assessment in Flanders, Belgium

Floods can cause damage to transportation and energy infrastructure, disrupt the delivery of services, and take a toll on public health, sometimes even causing significant loss of life. Although scientists widely stress the compelling need for resilience against extreme events under a changing climate, tools for dealing with expected hazards lag behind. Not only does the socio-economic, ecologic and cultural impact of floods need to be considered, but the potential disruption of a society with regard to priority adaptation guidelines, measures, and policy recommendations need to be considered as well. The main downfall of current impact assessment tools is the raster approach that cannot effectively handle multiple metadata of vital infrastructures, crucial buildings, and vulnerable land use (among other challenges). We have developed a powerful cross-platform flood impact assessment tool (FLIAT) that uses a vector approach linked to a relational database using open source program languages, which can perform parallel computation. As a result, FLIAT can manage multiple detailed datasets, whereby there is no loss of geometrical information. This paper describes the development of FLIAT and the performance of this tool

The role of urban built heritage in qualify and quantify resilience. Specific issues in Mediterranean city

The Mediterranean city represents a significant example of urban organism, based on masonry construction and characterized by typological processes of growth. The material consistency and the temporal continuity of built heritage in Mediterranean city make relevant its interpretation and analysis according to the resilient approach. The declination of this approach in many disciplines generated a substantial diversity among the definitions of resilience (Francis and Bekera, 2014). Consequently, frameworks, adopted for a quantitative or qualitative assessment, underline the lack of standardization and rigor in defining resilience measurements. A review of resilience literature and actual applications in urban context permit to understand that there are different operators working on the field: on the one hand there are international organizations, on the other hand there are academics. The review of both the two ambits of investigation intends to clarify specific properties and convergence points in order to trace an evolution of conceptual framework and to identify general features of urban resilience. This process is fundamental in focusing the main aims of the research program: the definition of the role of urban built heritage, given by the close correlation between masonry constructive technique, typologies and morphologies, its material value in urban system, and its relevance in Mediterranean city in constitution of urban resilience (UNISDR, 2012a). Despite an increasing number of academic studies concerning the role of built environment in defining and improving cities resilience, their major attention is still focused on street patterns and lifelines infrastructures. The paper concludes how the role of built heritage remains insufficiently explored and a correct definition of urban structure is still missing inside the domain of infrastructural resilience

Coastal risk assessment framework guidance document

The Resilience-Increasing Strategies for Coasts – Toolkit (RISC-KIT) FP7 EU project (2013-2017) aims to produce a set of three innovative and EU-coherent open-source and open-access methods, tools and management approaches (the RISC-KIT) in support of coastal managers, decision-makers and policy makers to reduce risk and increase resilience to low-frequency, high impact hydro-meteorological events. The Coastal Risk Assessment Framework (CRAF) is the first element of the risk assessment suite applied at a regional scale and permits a comprehensive and systematic approach to undertaking risk assessment at a variety of levels of detail. In particular, the approach reveals potential hotspots along the coasts. Hotspots are defined in the Toolkit as specific locations where high-resolution modelling and risk assessment are required to assess the coastal risk and to design and compare disaster risk reduction measures. As such, hotspots, or groups of hotspots, should be indicative of those areas where risk is highest. To do so the CRAF consists of a 2-phase approach, Phase 1 is a coastal-index approach to identifying potential hotspots, whereas Phase 2 utilises a suite of more complex modelling processes to rank these hotpots. The coastal INtegrated DisRuption Assessment model (INDRA) has specifically been developed as an open-source and open-access model for this purpose. This document provides guidance to CRAF users on both approaches, as well as explanations on the proposed methodologies. The CRAF is a prototype and will be trialled on the RISC-KIT case studies (WP5). Limitations in its application, the potential for a full application and the needs for further development will be discussed in Deliverable 5.1

Social preferences for ecosystem services in a biodiversity hotspot in South America

Identifying which ecosystem services are relevant to different stakeholders and understanding stakeholders’ perceptions of such services is useful for making informed decisions, especially in regions of the world where the achievement of biodiversity conservation goals is threatened by economically productive activities. In this article, we assess social preferences for ecosystem services in a biodiversity hotspot in central Chile. We use a consultative case study to ask local stakeholders (n = 70) from the Campana Peñuelas Biosphere Reserve to identify the most important ecosystem services the area provides for them and inquire about the perceived vulnerability of the services to changes in the future. We also explore the association between the perceived importance of ecosystem services and the sociodemographic and cultural characteristics of the respondents, which allows us to identify contrasting stakeholder perceptions of different ecosystem services. The most important services for local actors were the drinking water, fresh air and climate change control, genetic pool of plant communities in central Chile, and educational value. From the perspective of local actors, the services that could be threatened by negative changes in the future in terms of their provision included the possibilities of developing conservation activities focused on iconic threatened animal and plant species, water regulation, food from agriculture, and drinking water. Contrasting perceptions about the importance of ecosystem services emerged among stakeholders. While small farmers and members of local organizations attributed higher importance values to provisioning services, scientists and rangers and administrators of protected areas as well as teachers, NGO members and local government employees attributed more importance to the regulating and cultural services associated with threatened species. Our results can serve as a source of information for the planning and decision-making processes related to the search for socially and ecologically sustainable solutions for land use managemen

A Geographic Modeling Framework for Assessing Critical Infrastructure Vulnerability: Energy Infrastructure Case Study

Vulnerability of critical infrastructure systems is of the utmost importance to a nation\u27s national security interests, especially the electric grid. Despite the importance of these systems, disruptions continue to occur at an alarming rate, thus indicating that there is a fundamental flaw in the way critical infrastructure systems are analyzed for vulnerability. Critical infrastructure systems are typically analyzed using mathematical approaches such as graph theory, which strip systems of their important geographic information, and only look at their connections to each other. While these relationships and metrics provide useful information, they cannot provide the entire picture. As such, this research seeks to develop a new, geographic framework that not only takes into account the information uncovered by graph metrics, but information about the unique geography of the area that can impact these systems. Using Southeast Asia as a study region, this research seeks to answer the following broad questions: 1. What are differences that arise from analyzing energy network vulnerability using the new geographic framework versus graph theory alone? 2. What types of evaluation methods are applicable for determining if the proposed framework is more effective than graph theory? To answer these questions, this research developed a field-based model utilizing service areas as the unit of analysis. The factors of betweenness, degree, closeness, land use, service area population, other critical infrastructure frequency, natural hazard frequency, and temperature extremes. These factors were ranked from one to five, one indicating the least vulnerability and five indicating the highest vulnerability. These factors were then weighted, using the Analytic Hierarchy Process to determine the weights, and summed to determine an overall vulnerability ranking. The higher the score, the more vulnerable a particular substation is. The results indicate that many of these variables provide little insight into the vulnerability of the electric grid, when validated against real-world data from the 2012 Indian Blackout. The most important variables were betweenness, land use, natural hazard frequency, and temperature extremes. Basic metrics of percentage of substations identified versus substations affected in a real-world scenario provided the basis for effective evaluation of each model

Land Use Compatibility Assessment Using a Mdified Topsis Model: a Case Study of Elementary Schools in Tehran

Being one of the most controversial issues in urban planning, land use planning has always been in the focus of researches. Land use planning is a subdivision of urban planning which tends to arrange land uses in order to avoid conflicts among them. In order to achieve a transparent and effective urban planning, land uses should be located and allocated in an ideal situation so that avoid negative impacts from neighbouring parcels and land uses. Neighbouring land uses can produce externalities and negative impacts on other land uses because of inter-land use interaction. These externalities may be undesirable effects such as noise, air and visual pollution or may be caused by hazardous facilities. The main objective of this research is to propose a new multi-criteria evaluation model for land use compatibility assessment. Considering the fact that a considerable number of factors affect the compatibility degree of neighbouring land uses, a multi-criteria evaluation approach is employed to address the aforementioned problem. This research employs the integration of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Ordered Weighted Averaging (OWA) methods to facilitate land use compatibility evaluation with respect to optimism degree. The applicability of the proposed model is illustrated by the problem of land use compatibility assessment for elementary schools in Tehran. The results indicate that most of the current schools are situated in a location which is incompatible for the land use type of elementary school especially in the southern and central parts of the city

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio