In Fragebogen-Untersuchungen zur Lärmwirkung wurden bisher sehr unterschiedliche Operationalisierungen von Wirkungsvariablen (wie z.B. Belästigung, Störung von Aktivitäten) und außer-akustischen Faktoren (sog. Moderatoren wie z.B. Lärmempfindlichkeit, misfeasance) verwendet. Deshalb hat sich die Arbeitsgruppe community response der International Commission on the Biological Effects of Noise (ICBEN, Team No. 6) als langfristiges Ziel die Entwicklung von Fragebogen-Guidelines und die Formulierung eines Muster-Fragebogens für die Lärmwirkungsforschung gesetzt. D.h. es soll ein Vorschlag erarbeitet werden, in welcher Form globale und spezifische Lärmwirkungen in Befragungen erhoben werden sollten. Um dieses Vorhaben zu unterstützen, hat der Arbeitskreis Ökologische Lärmforschung die Erstellung einer systematischen Übersicht über vorhandene Fragebögen aus Lärmwirkungsstudien auf internationaler Ebene in Angriff genommen. Diese Übersicht soll es u.a. ermöglichen, die Struktur von verschiedenen Fragebögen sowie die in ihnen verwendeten Operationalisierungen für Lärmwirkungs- und Moderatorvariablen (hinsichtlich Art der Frageformulierung sowie der Antwortformate) zu vergleichen. Für den/die einzelne/n Lärmforscher/in bietet diese Übersicht die Möglichkeit, sich auf sehr effiziente Art und Weise darüber zu informieren, wie bestimmte Konstrukte in bisherigen Untersuchungen operationalisiert worden sind bzw. welche Alternativen zu den bereits selbst angewandten Operationalisierungen bestehen. Nach einer systematischen Ermittlung von Namen und Adressen einschlägiger Lärmforscher/innen, wurden diese um die Zusendung von Fragebögen sowie ergänzender Materialien aus eigenen Lärmwirkungsstudien gebeten. Die zugesandten Fragebögen werden gegebenenfalls übersetzt und mit der Methode der qualitativen Inhaltsanalyse ausgewertet. Hierbei werden die Fragebögen im Hinblick auf formelle Aspekte (z.B. Jahr der Erhebung, Sprache, Art der Befragungsmethode) wie auch im Hinblick auf strukturelle Aspekte (z.B. Umfang des Fragebogens, abgefragte Variablengruppen, Antwortformate) ausgewertet. Hauptgegenstand der Auswertung ist aber insbesondere die Auswertung der Lärmwirkungsvariablen (z.B. die Abfrage der globalen Lärmbelästigung, Aktivitätenstörungen, Kommunikationsstörungen) sowie der Moderatorvariablen (z.B. Lärmempfindlichkeit, Lärmbewältigungsvermögen, misfeasance). Parallel dazu wurde eine Datenbank entwickelt, in der die Ergebnisse der Analysen dargestellt und verwaltet werden. Diese Datenbank wird ab November 2001 im Internet unter http://www.eco.psy.ruhr-uni-bochum.de/nqd für jede/n interessierte/n Forscher/in zugänglich und nutzbar sein. Langfristig ist darüber hinaus geplant, ein Archiv mit den Original-Fragebögen aufzubauen, in dem einzelne Fragebögen auf Wunsch eingesehen werden können.
SP0 is conceived for coordination of the ICON research, for internal and external scientific exchange as well as for investigating development pathways of land use on the Philippines. The SP0 team will supervise the project activities as a whole, including reporting and final synthesis. It will design the ICON homepage, establish and maintain a web-based database and present the project and its results in scientific forums and public media. It will organize collaboration and scientific exchange with international networks dealing with atmospheric processes, global carbon, nitrogen, water and energy cycles, and long-term ecological research. Specifically, SP0 is devoted to ensuring a sound integration of the ICON project within the scientific communities of Germany and SE Asia. Supported by the ICON local research coordinator based at and employed by IRRI, it will coordinate with the IRRI farm management to assist other ICON subprojects with field setup, routine data collection and technical backstopping.
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Objective: This collaborative research project will last 36 months and involve 10 partners. Its general aim is to contribute to the EU Renewed Sustainable Development Strategy through the enhancement of the links between policy and research on sustainable development in the field of sanitation (a crucial area with regard to environmental sustainability and quality of life in general). The project has two specific aims. - Generating new knowledge on the factors hindering the dissemination of scientific and technological knowledge that can be immediately applied in support to sustainable development, and of identifying knowledge brokerage methods enabling to overcome these hindering factors and to maximise the exploitation of relevant knowledge. - Starting up a learning process on knowledge brokerage in general as a tool for the socialisation of Scientific and Technological Research. The project components, to be implemented in the partner countries, are: - Research. Activities will carried out for mapping the knowledge and technological options for environmentally sustainable sanitation (ESS), and the actors that possess this knowledge. This, together with a consultation of experts aimed at listing the obstacles to knowledge brokerage dissemination, will provide the basis for experimentations. - Experimentation. Knowledge brokerage experiments on ESS will be carried out in the Netherlands, Italy and Bulgaria via 3 pilot projects. - Learning. The results achieved will serve to start up a process aimed at drafting policy guidelines (including a position paper) on knowledge brokerage on ESS. - Dissemination. Dissemination and awareness-raising initiatives will be carried out on the project issues and results. 9 WPs are foreseen. WP1 and 2 for the first part of the research; WP3-6 will be devoted to the design and implementation of 3 pilot projects, WP7 will be devoted to learning process; WP8 will deal with dissemination and WP9 with project management.
This proposal is a continuation of the project 'GeoKernels': Kernel-Based Methods for Geo- and Environmental Sciences (200021-113944/1). The projects deal with the fundamental developments in the field of intelligent geospatial data analysis and modelling using Machine Learning algorithms. The first phase of the GeoKernels project provided a general methodology for using the state-of-the-art models in machine learning (where kernel methods establish one of the main successful areas) for spatio-temporal data analysis and modelling. Real life data lie on some lower-dimensional manifolds in the original high-dimensional geo-feature space. For environmental data these natural low-dimensional geo-manifolds are induced by rivers, relief features, urban structures, hydro-geological formations, etc. During PhaseI in the GeoKernels methodology, semi-supervised learning was applied to the stated problems in an efficient and elegant manner. The continuation of the project (Phase2) is aimed at advancing the data-driven GeoKernels modelling methodology, bringing it closer to the need of real-life operational use, from one side, and developing new methods concerned with geomanifold modelling by feature extraction and interpretable predictions with multiple kernel learning. The new developments will provide more transparency to the data-driven methods and will bring more flexibility for modelling complex environmental processes. The methods are particularly targeted at applications in natural hazards assessments and forecasting, topo-climatic modelling and renewable resources evaluation. Due to the established collaboration, the results of this multidisciplinary project will improve spatial data collection and management process in different scientific fields, will develop new procedures of environmental pattern recognition and modelling approaches using recent achievements in machine learning. The main results will be presented at the international conferences and workshops and published in scientific journals and books. The results, including the software modules (Machine Learning Office) and online interactive case studies will be available at the website of the project for the research and educational purposes (www.geokernels.org).
Based on a better understanding of terrestrial and freshwater biodiversity and ecosystem functioning ALARM will develop and test methods and protocols for the assessment of large-scale environmental risks in order to minimise negative direct and indirect human impacts. Research will focus on assessment and forecast of changes in biodiversity and in structure, function, and dynamics of ecosystems. This relates to ecosystem services and includes the relationship between society, economy and biodiversity. In particular, risks arising from climate change, environmental chemicals, biological invasions and pollinator loss in the context of current and future European land use patterns will be assessed. There is an increasing number of case studies on the environmental risks subsequent to each of these impacts. This yields an improved understanding on how these act individually and affect living systems. Whereas the knowledge on how they act in concert is poor and ALARM will be the first research initiative with the critical mass needed to deal with such aspects of combined impacts and their consequences. So far the ALARM consortium combines the expertise of 54 partners from 26 countries (19 EU, Bulgaria, Romania, Israel, Switzerland, Russia, Chile, and Argentina). Within this call we propose to include 16 new TTC partners from Russia, Belarus, China, South-Africa, India, Croatia, Ukraine, Serbia & Montenegro, The Philippines, Bolivia, Guatemala, and Mexico, in order to complement expertise and geographical coverage of the existing consortium.
This GSE-FM service option provides a powerful tool for effective forest monitoring and inventory at regional scale using both EO-data and ground based observations. It is especially designed for allocating reliable and up-to-date information over large forest areas. Many regions of the world like wide parts of Russia and the Irkutsk Oblast are covered by vast forests. The countries and administrative regions often have to deal with pressing environmental problems such as frequent forest fires events, illegal logging practices as well as other human activities and natural forest disturbances. Due to the large forest areas, which are often difficult to access or characterized by insufficient infrastructure and severe climate conditions, frequent monitoring of the forest resources is a great challenge. Forest monitoring by the means of ground inventories is rather complicated or even impossible. The use of aerial photographs is also often insufficient and cost-intensive. As a result, forest information available today, often does not correspond to the current situation. This is true for wide parts of Siberia, for example. However, according to their own legislation and to fulfill international obligations up-to-date and reliable information on forest resources are essential. For instance, in order to update the Russian State Forest Account as well as for forest management and monitoring issues an annual update of forest information is obligatory. The use of EO-technologies offers an excellent tool to obtain spatial forest information. Especially for regions covered by vast forest areas the combined use of high and low resolution EO-data is the most promising and cost-efficient strategy. Therefore, this GSE-FM service option follows a two-level strategy: Level 1: Low and medium resolution satellite data are used for operational monitoring of forest changes over large areas caused by fires, cutting, and other natural and human induced disturbances. Territories where significant changes occurred are identified at this level. Level 2: Both high-resolution satellite data and aerial photos are used for a detailed inventory of all candidates registered by the first level observations. Ground truth data (inventory maps, topography, archive EO data etc.) are used in addition.
The proposal suggests the organisation of the 7th EC Conference on Cultural Heritage Research in Prague, in 2006. The scope of the project stems from the SSP priorities, and the conference aims at the consolidation and impact assessment of results achieved in EU research projects related to movable and immovable cultural heritage, with a special focus on exploitation and spin-off of cultural heritage research results and testing of the acceptability of new sustainability approaches and new technologies by the user community, SMEs, owners, managers and restorers or conservationists of the cultural heritage. The Prague conference has been designed to further define the role of Europes cultural heritage research within the international context and as part of international cooperation, to explore the possibilities for SMEs in contributing to competitiveness and job creation, to define the support of cultural heritage research to policy needs and to contribute to the 7th Framework Programme establishment through support of the European Construction Technology Platform concept and research infrastructure development. The wider public will be addressed by means of special accompanying events, too, in order to ensure feedback and response from non-professional stakeholders. The Conference will consist of sessions dealing with political exploitation and public dissemination of cultural heritage research, the international role of European cultural heritage research, poster displays and verbal presentations of policy impact assessment, research infrastructure achievements, innovative applications and new ideas, as well as coordination of national education and research into cultural heritage issues. Public and professional awareness shall be increased by special demonstration and post-conference activities, including publication of the Conference Proceedings. The results and continuing activities will be supported by IT tools and follow-up working groups, after the event.
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