نتایج جستجو برای: atmospheric dispersion model aermod

تعداد نتایج: 2209129  

Journal: :محیط شناسی 0
خسرو اشرفی استادیار گروه مهندسی محیط زیست، دانشکدة محیط زیست دانشگاه تهران مجید شفیع پور استادیار گروه مهندسی محیط زیست، دانشکدة محیط زیست دانشگاه تهران محمد سلیمیان دانشجوی کارشناسی ارشد مهندسی عمران محیط زیست، دانشکدة محیط زیست دانشگاه تهران محمودرضا مومنی دانشجوی کارشناسی ارشد مهندسی عمران محیط زیست، دانشکدة محیط زیست دانشگاه تهران

air pollution is one of the most challengeable problems in the asalouyeh zone. in order to reduce the air pollutants emission and their effects it is necessary to recognize the amount and spatial dispersion of air pollutants. hence in this paper, evaporative losses of the stored liquids from 16 tanks of an oil company in asalouyeh zone, are determined using tanks 4.0.9d and then dispersion of v...

2017
Alp Kucukelbir Yixin Wang David M. Blei

Probabilistic modeling is cyclical: we specify a model, infer its posterior, and evaluate its performance. Evaluation drives the cycle, as we revise our model based on how it performs. This requires a metric. Traditionally, predictive accuracy prevails. Yet, predictive accuracy does not tell the whole story. We propose to evaluate a model through posterior dispersion. The idea is to analyze how...

2015
Farzaneh Jafarigol Farideh Atabi Faramarz Moatar Jafar Nouri

Nowadays, air pollution is one of the major challenges in Assaluyeh, therefore, in the present study, according to the importance of the fourth refinery gas as the largest gas refinery in the region, the amount of emissions from Stacks and flares has been initially determined and then the distribution has been identified in the region. In this research, AERMOD and CALPUFF models have been used ...

2007
Bent Lauritzen

The aim of the 2005-06 NKS-B NordRisk project has been to present practical methods for probabilistic risk assessment from long-range atmospheric transport and deposition of radioactive material. In this project an atlas of long-range atmospheric dispersion and deposition patterns derived from archived numerical weather prediction (NWP) model data coupled to an atmospheric dispersion model has ...

2012
Silke Richter Stefan Wiemann Pierre Karrasch Daniel Kadner Johannes Brauner Joachim Siegert Julia Rossmann Bernhard Elsner Jana Arloth

This article presents the approach and current findings of the EO2HEAVEN project, in particular from the Saxony Case Study. The aim of the Case Study is the conceptual design of a Spatial Information Infrastructure for better understanding the complex relationship between ambient air quality and its influence on the human health. This includes air quality modelling and a statistical analysis of...

1998
James Stone

This manuscript presents an overview of the current experimental situation regarding nucleon decay and the measured flux of atmospheric neutrinos. Previous and on-going experiments are reviewed, the data are presented, and new outstanding questions are posed. The SuperKamiokande project is described and its expected sensitivity for improving measurements of the nucleon lifetime and the atmosphe...

2007
J. C. Doran J. D. Fast J. C. Barnard A. Laskin Y. Desyaterik M. K. Gilles

Applications of Lagrangian dispersion modeling to the analysis of changes in the specific absorption of elemental carbon J. C. Doran, J. D. Fast, J. C. Barnard, A. Laskin, Y. Desyaterik, M. K. Gilles, and R. J. Hopkins Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington, USA Lawrence Berkeley National Laboratory, Berkeley, CA, USA Received: 25 September 2007 – Accepted: 10...

Journal: :Remote Sensing 2015
Fei Wang Zhihao Qin Caiying Song Lili Tu Arnon Karnieli Shuhe Zhao

The successful launch of the Landsat 8 satellite with two thermal infrared bands on February 11, 2013, for continuous Earth observation provided another opportunity for remote sensing of land surface temperature (LST). However, calibration notices issued by the United States Geological Survey (USGS) indicated that data from the Landsat 8 Thermal Infrared Sensor (TIRS) Band 11 have large uncerta...

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