1 W 1 : Modelling and Monitoring Environmental Outcomes in Adaptive Management
نویسنده
چکیده
The main aim of this paper is to stimulate questions about the future of adaptive management (AM) of natural resources, and more specifically about what approaches may be feasible which have not yet been explored well. The method will be to compare the histories, strengths and limitations of AM, control engineering and Bayesian analysis, which have superficial similarities, significant differences and perhaps lessons for each other. Some difficulties encountered by control engineering and complex environmental models are pointed out.
منابع مشابه
Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river
ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...
متن کاملMonitoring strategies and scale-appropriate hydrologic and biogeochemical modelling for natural resource management: Conclusions and recommendations from a session held at the iEMSs 2008
This short communication paper presents recommendations for developing scale-appropriate monitoring and modelling strategies to assist decision making in natural resource management (NRM). These ideas presented here were discussed in the session (S5) ‘Monitoring strategies and scale-appropriate hydrologic and biogeochemical modelling for natural resource management’ session at the 2008 Internat...
متن کاملModelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
The impact of air pollution and environmental issues on public health is one of the main topics studied in manycities around the world. Ozone is a greenhouse gas that contributes to global climate. This study was conducted topredict and model ozone of Yazd in the lower atmosphere by an adaptive neuro-fuzzy inference system (ANFIS). Allthe data were extracted from 721 samples collected daily ove...
متن کاملA Bayesian model decision support system: dryland salinity management application
Addressing environmental management problems at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. Development of Decision Support Systems (DSSs) for environmental management is rapidly progressing. This paper describes the integration of physical, ecological, and socio-economic components i...
متن کاملDeveloping a Model of Sustainable Innovation in Public Hospitals Using Grounded Theory
Introduction: Today, sustainable innovation is recognized as a way to gain a competitive advantage and solve social and environmental problems. The aim of this study was to developing a model of sustainable innovation in public hospitals in Tehran using Grounded Theory in public hospitals in Tehran. Methods: The present study is a qualitative study that was performed by Grounded Theory method...
متن کامل