کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4378772 1303493 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stochastic environmental research risk assessment
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Stochastic environmental research risk assessment
چکیده انگلیسی

In a briefly approach, sustainability can be defined as the ability to achieve economic prosperity while protecting the natural systems of the planet, and providing a higher quality of life for its people. Nowadays it is a prime and very active area of research, fundamental for human development. Several concepts based on economics, social and environmental concerns have been considered in the development of sustainability indices. The sustainability concept is, not only but necessarily, dependent on “quantification of the environment health”, necessary to determine its effectiveness in achieving or increasing the environmental capacities of ecosystems, as well as to compare alternative plans and policies, to influence decision-makers.Environmental indices are a very important tool for the analysis of some environmental assessment factors, providing quantitative criteria and synthesizing the available information. A good index should be simple to use, transparent, and expandable across other issues. In particular, environmental indices are a useful tool for several audiences, to aid environmental decision making and to allow the media to keep score of and reduce complex information to a smaller, more easily retained, amount of information [Hardi, P., DeSouza-Huletey, J.A., 2000. Issues in analyzing data and indicators for sustainable development. Ecol. Model. 130, 59–65].The goal of this work is the development of environmental indices, based on stochastically simulated scenarios, using probabilistic approaches. This study was applied to assess the impact of particulate air contamination on the Setúbal Peninsula ecosystems (South of Lisbon, Portugal).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 201, Issue 2, 24 February 2007, Pages 118–126
نویسندگان
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