Geomatics for Integrated Coastal Zone Management: multitemporal shoreline analysis and future regional perspective for the Portuguese Central Region

Shoreline mapping and change detection are critical for Integrated Coastal Zone Management (ICZM) and all that it represents. This research utilized previous studies that combined both Remote Sensing and Geographical Information System (GIS) techniques to assess, map and forecast shoreline evolution from short-term perspectives. The study area is located in the central region of Portugal, between the counties of Ovar and Marinha Grande (circa 140 km) and the time period assessed was from 1984 to 2011. Historical data were used to calculate advance and retreat rates in order to support environmental scenarios for the Portuguese Central Region’s Coastal Management Plan. To ensure accuracy, a repeatable procedure was validated using Landsat TM and ETM+ satellite images, which were subsequently enhanced and elaborated by Remote Sensing analyses to detect and extract shorelines. They were subsequently integrated within an Esri ArcGIS software application (DSAS - Digital Shoreline Analysis System) to determine and predict rates of coastline change. Graphical DSAS plots identified coastline phases and shifts and were used to simulate the 2022 coastline scenario. These results will be integrated into the Coastal Zone Management Plan (Horizon – 2022). Importantly this methodological planning approach provides visual coastline change information for regional decision-makers and stakeholders

Deterministic analysis of slope stability in the Serra do Mar (Paraná, southern Brazil)

Abstract Number: GHZ06232

Mapeamento de áreas suscetíveis a deslizamentos no município de Pato Branco, Paraná com a aplicação do modelo SHALSTAB

Este trabalho compara modelos matemáticos de estabilidade de encostas associados a técnicas de mapeamento temático em SIG. O objetivo principal foi avaliar a aplicação do modelo SHALSTAB no mapeamento de áreas suscetíveis à ocorrência de escorregamentos na região de Pato Branco, Paraná, buscando determinar a quantidade de chuva necessária para desencadear estes eventos extremos e comparar com resultados de trabalhos anteriores que determinaram os fatores de segurança das encostas dessa área. Os resultados obtidos demonstraram que ambas metodologias analisadas mostraram-se aptas como ferramenta para identificar zonas de susceptibilidade à ocorrência de escorregamento raso, uma vez que os deslizamentos ocorridos na cidade estão localizados em áreas consideradas instáveis pelos dois métodos.This paper compares mathematical models of slope stability associated with thematic mapping techniques in GIS. The main objective was to evaluate the application of SHALSTAB model in the susceptible mapping areas to the occurrence of landslides in Pato Branco, Paraná State, aiming to determine the needed amount of rain to trigger these extreme events and to compare, with previous studies results, what have determined the security factors of the slopes in this area. The results showed that both analyzed methodologies proved suitable as a tool for identifying susceptibility to the occurrence of slip shallow areas, once the slips occurred in the city are located in areas considered unstable by both methods

Psychometric properties of the measure of achieved capabilities in homeless services

Background Purposeful participation in personally meaningful life tasks, enjoyment of positive reciprocal relationships, and opportunities to realize one’s potential are growth-related aspects of a meaningful life that should be considered important dimensions of recovery from homelessness. The extent to which homeless services support individuals to achieve the capabilities they need to become who they want to be and do what they want to do is, in turn, an important indicator of their efectiveness. In this study, we developed a measure of achieved capabilities (MACHS) for use in homeless services settings, and assessed its construct and concurrent validity. Methods We analysed data collected from homeless services users at two time points in eight European countries to assess the factor structure and psychometric properties of the new measure. Participants were adults engaged with either Housing First (n=245) or treatment as usual (n=320). Results Exploratory and confrmatory factor analyses yielded a four-factor structure of the capabilities measure: community integration, optimism, safety, and self-determination. We obtained evidence for construct validity through observed correlations between achieved capabilities and recovery, working alliance and satisfaction with services. Moreover, we obtained evidence of the measure’s concurrent validity from its positive association between HF and personal recovery, which was fully mediated by achieved capabilities. Conclusions Findings demonstrate that the MACHS is a valid and reliable measure that may be used to assess the extent to which homeless services support their clients to develop capabilities needed for growth-related recovery. Implications for practice and future research directions are discussed.info:eu-repo/semantics/publishedVersio

Geomatica e Cooperazione Internazionale con i Paesi in via di Sviluppo

La Cooperazione con i Paesi in Via di Sviluppo (PVS) in Italia è un ambito che impiega professionalità, passione e senso di solidarietà. Storicamente la moderna Cooperazione allo Sviluppo nasce nel corso degli anni quaranta all’interno della politica estera degli Stati Uniti che, con il Land Lease Act del 1941, vararono un piano di aiuti per quarantuno Paesi (tra cui Cina, Russia e Francia)