Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-Scale Air Pollution Model
نویسندگان
چکیده
Variance-based sensitivity analysis has been performed for a study of input parameters contribution into output variability of a largescale air pollution model the Unified Danish Eulerian Model. The problem of computing of numerical indicators of sensitivity Sobol’ global sensitivity indices leads to multidimensional integration. Plain and Adaptive Monte Carlo techniques for numerical integration have been analysed and applied. Numerical results for sensitivity of pollutants concentrations to chemical rates variability are presented.
منابع مشابه
Sensitivity Analysis of a Wideband Backward-wave Directional Coupler Using Neural Network and Monte Carlo Method (RESEARCH NOTE)
In this paper sensitivity analysis of a wideband backward-wave directional coupler due to fabrication imperfections is done using Monte Carlo method. For using this method, a random stochastic process with Gaussian distribution by 0 average and 0.1 standard deviation is added to the different geometrical parameters of the coupler and the frequency response of the coupler is estimated. The appli...
متن کاملReliability and Sensitivity Analysis of Structures Using Adaptive Neuro-Fuzzy Systems
In this study, an efficient method based on Monte Carlo simulation, utilized with Adaptive Neuro-Fuzzy Inference System (ANFIS) is introduced for reliability analysis of structures. Monte Carlo Simulation is capable of solving a broad range of reliability problems. However, the amount of computational efforts that may involve is a draw back of such methods. ANFIS is capable of approximating str...
متن کاملAdvanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on Sobol sequences
In this paper advanced variance-based algorithms for global sensitivity analysis are studied. We consider efficient algorithms: Monte Carlo, quasi-Monte Carlo (QMC) and scrambled quasi-Monte Carlo algorithms based on Sobol sequences. Low discrepancy ΛΠτ Sobol sequences are considered as a basis. Two other approaches are also analyzed. The first one is an efficient Monte Carlo (MC) algorithm for...
متن کاملAir quality modeling in Warsaw Metropolitan Area
Decision support of air quality management needs to connect several categories of the input data with the analytical process of air pollution dispersion. The aim of the respective model of air pollution is to provide a quantitative assessment of environmental impact of emission sources in a form of spatial/temporal maps of pollutants’ concentration or deposition in the domain. These results are...
متن کاملThe Use of Monte-Carlo Simulations in Seismic Hazard Analysis in Tehran and Surrounding Areas
Probabilistic seismic hazard analysis is a technique for estimating the annual rate of exceedance of a specified ground motion at a site due to the known and suspected earthquake sources. A Monte-Carlo approach is utilized to estimate the seismic hazard at a site. This method uses numerous resampling of an earthquake catalog to construct synthetic catalogs to evaluate the ground motion hazard a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009