meteorology data Articles
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Homogeneous climate regions in Pakistan
In this study, monthly average meteorological data and spatial coordinates are supposed to influence the climate variation. The geographical coordinates are transformed by using the Lambert projection method and are combined with the meteorological data. The complete data is standardised with zero mean and unit variance to remove the effect of different measurement scales. Various clustering ...
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Empirical prediction of snow and land-fast sea ice temperature - Case Study
Understanding the thermal properties of sea ice and the snow cover over it can help determine the strength of the ice and what impacts it can have on infrastructure such as ships, ports, bridges and offshore structures. C-Core was looking to correlate snow and ice temperature to meteorological data and used beadedstream Digital Temperature Probes to capture the sub-surface temperatures. They ...
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Cost 710: status report on working group 1, surface energy balance
This paper presents a brief summary of the work of working group 1 of COST Action 710, harmonisation in the pre-processing of meteorological data for dispersion modelling.Keywords: atmospheric dispersion models, modelling, meteorological data, surface energy balance, air pollution, environmental pollution, ...
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Meteorological data for dispersion modelling: a brief report on the COST 710 programme on pre-processing and harmonisation
Dispersion models need reliable meteorological data to run properly. Some of the meteorological data required by dispersion models are not routinely measured and have to be inferred from other measurements. The purpose of this cooperative study under the COST 710 Action is to improve and harmonise the methods of pre-processing the necessary meteorological input data. This should ensure that ...
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Modelling ozone levels in an arid region – a dynamically evolving soft computing approach
The primary pollutants may contribute to the increase of ozone levels in the arid regions. Complex interactions between the pollutants and the meteorological variables make the study of this phenomenon more exigent. The dynamically evolving neural fuzzy inference system (DENFIS), as an example of soft computing models, allows the online evolution of both the knowledge and the inference ...
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`Sensitivity of AERSURFACE Results to Study Area and Location,` presented at the Air & Waste Management Association`s annual conference
Abstract The United States Environmental Protection Agency (U.S. EPA) released a new version of theAERSURFACE tool on January 9, 2008. AERSURFACE is used to develop direction-specificestimates of surface characteristics (albedo, Bowen ratio, and surface roughness) for use as oneinput in AERMET to produce meteorological data sets that can be used in regulatory dispersionmodeling analyses using ...
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`Sensitivity of Aermod to meteorological data sets based on varying surface roughness,` presented at the 2009 air & waste management association`s annual conference
Abstract Dispersion modeling in support of regulatory programs for federal, regional, state and localpermitting relies on the U.S. Environmental Protection Agency’s AERMOD Model as specifiedin the Guideline on Air Quality Models (40 CFR 51, Appendix W).1 Internal calculations inAERMOD for daytime mixing in the convective boundary layer and night time mixing in thestable boundary layer rely ...
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Avoid a challenge to your air permit - choose the right off-site meteorological data, presented at EUEC 2010
Modeling Requires Many Inputs To set the stage, you need: Elevation data Fence lines Receptor grids Building locations Building dimensions Stack coordinates Stack heights Stack diameters Exit temperatures Exit velocities Volume source parameters Area source parameters Emission rates But to get it all moving (transporting/dispersing the emissions from a single point), you ...
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ADMS 5 Complex Terrain Validation Clifty Creek Power Plant
1 Introduction The Cliffy Creek power plant1 is located in southern Indiana on the north side of the Ohio River (see Figure 1). The area immediately north of the facility is characterized by cliffs rising about 115 m above the river and intersected by creek valleys. The tops of the stacks extend about 80 to 100 m above the top of the cliffs on both sides of the river. Three 208-m stacks meters ...
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`Comparison of onsite and NWS meteorology data sets based on varying nearby landuse,` presented at guideline on air quality models: next generation of models conference 2009
Abstract For regulatory modeling conducted in the United States using AERMOD, the United StatesEnvironmental Protection Agency (EPA) recommends the use of onsite measurements whereavailable or in the absence of onsite data five years of reliable, quality assured, andrepresentative meteorological data from a nearby National Weather Service (NWS) station. Incases where both onsite and NWS data are ...
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ADMS 5 Complex Terrain Validation Tracy Power Plant
1 Introduction The Tracy Power Plant is situated 27 km east of Reno. Nevada, in a region of complex terrain. The power plant is in a valley surrounded by peaks rising to around 950 m above the power plant elevation. During 1984. the United States Environmental Protection Agency carried out a series of 14 experiments between August 6th and 27th. for a total of 128 hours of data collection, mainly ...
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Meteorological data from numerical weather prediction or observations for dispersion modelling
Synoptic observations of wind speed, direction, cloud cover, precipitation and temperature are inputs to regulatory dispersion modelling. Numerical Weather Prediction (NWP) data generated by national meteorological services are easily formatted for dispersion models. Changing from observations to NWP data raises concerns amongst regulators and model users – how might impact assessments differ if ...
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Correlation of air pollution and meteorological data using neural networks
In order to develop an environmental forecasting tool, the Neural Network method of computational intelligence is investigated. For this purpose, hourly and daily time series of CO, NO2 and O3, as well as a variety of meteorological variables are employed in various multi-layer percepton (MLP) models, in order to provide reliable air quality forecasts, using as a test case the city of Athens, ...
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Estimation of snow/glacier melt contribution in the upper part of the Beas River basin, Himachal Pradesh, using conventional and SNOWMOD modeling approach
In the present study, an attempt has been made to estimate the snow/glacier melt contribution in the head water region of the Beas Basin using a conventional hydrograph approach and a modeling (SNOWMOD) technique. The discharge and other meteorological data from 1996 to 2008 of the Manali site were used for the study. The results of SNOWMOD modeling reveal that snow/glacier melt contribution ...
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How health related issues are likely to drive dispersion modelling over the next decade
In the future, the focus of dispersion modelling may centre on the aggregation of sources, atmospheric chemical reactions and longer range transport. This will put greater emphasis on the use of assimilated meteorological data as models are used to assess public policy options to minimise the impacts of air pollutants on human health and welfare. Because of the international nature of threats, ...
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Enhancing Continuous Emission Monitoring Solutions: The Role of Optical Gas Imaging
Continuous emission monitoring is vital for industries to adhere to environmental regulations and mitigate the impact of pollutants on public health and the environment. Optical Gas Imaging (OGI) has emerged as a potent tool in this regard, offering real-time detection and visualization of gas leaks. However, ensuring reliability and minimizing false alarms remains a challenge. In this article, ...
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A dispersion model intercomparison archive
The paper introduces a formal archive for intercomparison of conventional regulatory dispersion models. It stems from an initial intercomparison, for the UK Environment Agency, of the USEPA's ISC and AERMOD models with the ADMS model, in common use in the UK. The objective is to compare the models directly with one another via standard test cases in order to reveal differences that may arise in ...
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ADMS 5 Buildings & Complex Terrain Validation Baldwin Power Plant
1 Introduction The Baldwin Power Plant1 (Hanna and Chang [3]) was located in a rural, flat terrain setting of southwestern Illinois, USA, and had three identical 184-m stacks aligned approximately north-south with a horizontal spacing of about 100 ni. There were 10 SO2 monitors that surrounded the facility, ranging in distance from 2 to 10 km. On-site meteorological data were available during ...
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`CALPUFF in Odor Modeling: State of the Practice, Recent Developments and Future Improvements,` presented at the A&WMA Emerging Issues in Air Quality Modeling-Canada conference
Overview Background State of the Practice US Canada Potential Improvements CALPUFF Modeling System Meteorological Data Population Exposure Statistics Q&A First, An Apology (or two) I am not Christine Otto I do not spell “odor” with a “u” I do not have lots of pretty graphs to showyou I have drawn the dreaded “just ...
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Factors affecting inter-annual variability of NOx and NO2 concentrations from single point sources. (PDF)
In the application of dispersion modelling for regulatory purposes questions frequently arise regarding the meteorological data used for the study: in particular how many years data are sufficient; is the meteorological site representative of the dispersion site? Although studies have been conducted on the impact of meteorology from different years on ground level concentrations from point ...
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