Anticipating the Flood. Community-based cartography for disaster flood events in Argentina

Anticipando la Crecida Project (Anticipating the Flood) is an interdisciplinary project which deals with flood risk management strategies associated with intense rain events and southeasterly wind « sudestadas » in socio-economical vulnerable urban areas in Argentina. The objective of the current study is to use local knowledge through participatory activities to strengthen the phase of risk awareness of an early warning system by using cartography as a work tool. For this purpose, eleven workshops with adults and children were held between 2014 and 2017 in Buenos Aires metropolitan area and the towns of San Antonio de Areco and Santa Lucía. By helping communities articulate and communicate spatial knowledge through workshops, enable the possibility to advocate for a change. That change result in a new direction on how the community and stakeholders can act towards a flood event. Analysing community-based maps of 85 adults, flood theoretical models can be evaluated and perhaps improved. Additionally, overall 287 students between 10 and 17 years old learned about cartography and interacted with poster maps during the workshops held in different schoolsFil: Gatti, Ignacio Agustin. Universidad de Buenos Aires. Facultad de Filosofía y Letras; ArgentinaFil: Robledo, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaFil: Hurtado, Sol. Universidad Nacional de San Martín; Argentina. Universidad de Buenos Aires; ArgentinaFil: Canneva, Julieta. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Moreira, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Re, Mariano. Ministerio del Interior, Obras Públicas y Vivienda. Secretaría de Obras Públicas. Subsecretaría de Recursos Hídricos. Instituto Nacional del Agua y del Ambiente (Ezeiza); ArgentinaFil: Briche, Elodie Sylvie Odile. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Falco, Magdalena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Kazimierski, Leandro David. Ministerio del Interior, Obras Públicas y Vivienda. Secretaría de Obras Públicas. Subsecretaría de Recursos Hídricos. Instituto Nacional del Agua y del Ambiente (Ezeiza); ArgentinaFil: Micou, Ana Paula. Ministerio de Defensa. Instituto Geografico Nacional; Argentin

Riesgo ambiental por invasiones biológicas en una zona con alto valor de conservación : las cuencas de El Palmar, Entre Ríos

Resumen temporalmente no disponible. La presente obra no cuenta con resumen provisto por el autor.Fil. Micou, Ana Paula. Universidad de Buenos Aires. Facultad de Filosofía y Letras

Library of Coastal Vulnerability Indicators 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. Risk is defined within this project as the product of the probability of a hazard, the exposure of receptors and their vulnerability. Representing the vulnerability and the potential role of DRR in their reduction is crucial for supporting the decision. As such a specific task of the RISC-KIT project (Task 2.2) is dedicated to developing a Library of Vulnerability Indicators to input in the RISC-KIT Toolkit and to test the tools on 11 case studies. The deliverable “Coastal Vulnerability Indicator Library” is composed of a Microsoft Excel database and a guidance document. The deliverable introduces the necessary concepts and methods, provides a review and a collection of existing indicators and proposes methodologies for developing new indicators. The Library has been constructed around four categories: Built Environment, Population, Ecosystem and Systems. The Library also identifies Disaster Reduction Measures influencing vulnerability and proposes methods to include within the assessment of vulnerability

Coastal Vulnerability Indicator Library

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. Risk is defined within this project as the product of the probability of a hazard, the exposure of receptors and their vulnerability. Representing the vulnerability and the potential role of DRR in their reduction is crucial for supporting the decision. As such a specific task of the RISC-KIT project (Task 2.2) is dedicated to developing a Library of Vulnerability Indicators to input in the RISC-KIT Toolkit and to test the tools on 11 case studies. The deliverable “Coastal Vulnerability Indicator Library” is composed of a Microsoft Excel database and a guidance document. The deliverable introduces the necessary concepts and methods, provides a review and a collection of existing indicators and proposes methodologies for developing new indicators. The Library has been constructed around four categories: Built Environment, Population, Ecosystem and Systems. The Library also identifies Disaster Reduction Measures influencing vulnerability and proposes methods to include within the assessment of vulnerability

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. <br>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.<br>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.<br>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.<br><br><br