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1.
Sci Total Environ ; 360(1-3): 233-45, 2006 May 01.
Artigo em Inglês | MEDLINE | ID: mdl-16242758

RESUMO

The Environmental Information System for Planners (EISP) is a proof of concept web-based system designed to support decision making within the UK planning framework by making information on environmental issues more widely accessible. It incorporates relevant outputs from the Natural Environment Research Council (NERC) Urban Regeneration and the Environment (URGENT) research programme and from research directly commissioned by the Office of the Deputy Prime Minister (ODPM). It supports three principal planning functions carried out by local authorities: pre-planning enquiries, development control decisions and strategic planning. Eleven environmental science themes are incorporated: Air quality, Shallow undermining, Landslide susceptibility, Groundwater protection, Flood risk, Drainage, Land contamination, Proximity to landfill, Biodiversity, Natural and Man-made heritage. Decision flow diagrams represent detailed analysis of workflow in each theme, taking account of best practice, regulatory responsibilities and planning guidance. Industry-standard web technologies integrate the flows and provide access to the system via secure web pages. Underpinning the system is an environmental geographical information system (GIS) containing up-to-date data, information and models relevant to each theme. The modular system design allows new legislation and local priorities and datasets to be easily incorporated. Web technology delivers information and research data that have hitherto been difficult for the non-specialist to access and have therefore been under-exploited. The study has demonstrated a successful application of the principles of e-Governance in an area where informed decisions commonly require specialist information. The system, if rolled out nationally, offers potential economic benefits and efficiency savings for both planners and developers.


Assuntos
Planejamento de Cidades , Técnicas de Apoio para a Decisão , Meio Ambiente , Sistemas de Informação , Tomada de Decisões , Internet , Reino Unido
2.
Sci Total Environ ; 325(1-3): 15-28, 2004 Jun 05.
Artigo em Inglês | MEDLINE | ID: mdl-15144774

RESUMO

The approach to taking decisions on the management of land contamination has changed markedly over 30 years. Change has been rapid with policy makers and regulators, practitioners and researchers having to keep pace with new technologies, assessment criteria and diagnostic methods for their measurement, techniques for risk analysis and the frameworks that support decision-makers in their efforts to regenerate historically contaminated land. Having progressed from simple hazard assessment through to 'sustainability appraisal' we might now consider piecing together the experience of decision-making for managing land contamination. Here, we critically review recent developments with a view to considering how better decisions can be made by integrating the decision tools available. We are concerned with the practicality of approach and the issues that arise for practitioners as decision criteria are broadened.


Assuntos
Conservação dos Recursos Naturais , Técnicas de Apoio para a Decisão , Meio Ambiente , Poluentes Ambientais , Formulação de Políticas , Medição de Risco
3.
In. Almeida - Teixeira, M. E; Fantechi, R; Oliveira, R; Gomes Coelho, A. Environment and quality of life : Natural hazards and engineering geology prevention and control of landslides and other mass movements : Proceedings. Brussels, Commission of the European Communities, 1991. p.293-99, ilus, tab. (Environment and Quality of Life).
Monografia em En | Desastres | ID: des-5762

RESUMO

The latin hypercube method is an alternative to the Monte carlo technique of selecting samples from a probability distribution fuction. Latin hypercube sampling has been applied to the analysis of plane and wedge failures in rock slopes and found to require far fewer calculations than Monte Carlo methods (AU)


Assuntos
Deslizamentos de Terra , Probabilidade , Métodos de Análise Laboratorial e de Campo , Medição de Risco , Análise Multivariada
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