Air Quality Forecasting Articles on Environmental XPRT

The value of accurate air quality forecasts

The value of accurate air quality forecasts critically depends upon how the information will be used. This paper proposes a simple model of private firm decision-making under uncertainty to consider potential economic applications and benefits from accurate air quality forecasts. It uses the findings of a survey of employees from five large employers in southern New Hampshire and northeastern ...

Jan. 2, 2007

By Inderscience Publishers

Lisbon air quality forecast using statistical methods

Ozone and particulate matter levels in Southern European countries are particularly high, exceeding the established limit values, and the information and alert thresholds (in the case of ozone). Therefore, it is relevant to develop a good prediction methodology for the concentrations of these pollutants. Statistical models based on Multiple Regression (MR) analysis and classification and ...

Sep. 24, 2009

By Inderscience Publishers

New Lufft Weather Station in Chile helps to prevent wildfires

In January 2017, forest fires in southern and central Chile were raging for more than two weeks. Eleven people were killed in the flames. In order to enhance preventive measures to avoid this in the future, the Chilean partner of IQ Wireless, BZ Forest, installed the first FireWatch fire detection system including Lufft ...

Jun. 9, 2017

By G. Lufft Mess- und Regeltechnik GmbH

The Use of Real-Time Air Quality Data in Daily Forecasting and Decision-Making

The feature articles published in this month’s issue describe various near-realtime data resources and provide examples of how they are being used to facilitate air quality forecasting and daily decision-making. The articles reinforce the importance of making as much environmental data as possible available to the public in real time. The major national source of realtime air quality data is ...

Sep. 1, 2005

By Air & Waste Management Association (A&WMA)

Air quality model for Austria: development and evaluation of ozone forecasts

An overview of the main findings of recent sensitivity studies and evaluations of ozone forecasts of the Air Quality model for Austria (AQA) is presented. Before the operational forecasts were started at the ZAMG, studies with different model input were conducted to find the appropriate model set–up. The performance of the chemical mechanisms CB–IV and SAPRC99 is shown for a hot period with ...

Feb. 20, 2012

By Inderscience Publishers

AirQuis: A basis for air pollution forecasting

The GIS based air quality planning system, AirQUIS, represent a perfect platform for developing numerical air quality forecasting. AirQUIS The Air Pollution Surveillance and Information System, AirQUIS, has been developed on a Geographical Information System (GIS) platform. The main objective has been to enable direct data and information transfer and obtain a remote quality control of ...

Mar. 1, 2001

By NILU - The Norwegian Institute for Air Research

Air quality indexing

In an attempt to meet the public's needs for information on air quality a variety of indexes have been developed and they continue to evolve. To show the complexity and the diversity of such indices, a variety of current air quality indices are described here and compared in regard to their performance and ability to deliver quality information. A number of characteristics seem desirable for an ...

Dec. 9, 2008

By Inderscience Publishers

Air pollution forecast in Portugal: a demand from the new air quality framework directive

This work aims at developing and validating a numerical air quality operational forecasting system that will be applied over Portugal. The CHIMERE model was chosen for the chemistry-transport simulation using the meteorological parameters supplied by the MM5 mesoscale meteorological model, forced by the AVN/NCEP global forecasts. An experiment of 48-hour real-time forecast simulations was ...

Sep. 1, 2005

By Inderscience Publishers

A Time Series Forecasting of Air Pollution in Indore

Abstract. Forecasting involves the generation of a number, set of numbers, or scenario that corresponds to a future occurrence. It is absolutely essential to short-range and long-range planning. By definition, a forecast is based on past data, as opposed to a prediction, which is more subjective and based on instinct, get feel, or guess. For example, the evening news gives the weather ...

Feb. 5, 2007

The New England Air Quality Forecasting Pilot Program: Development of an Evaluation Protocol and Performance

The National Oceanic and Atmospheric Administration recently sponsored the New England Forecasting Pilot Program to serve as a “test bed” for chemical forecasting by providing all of the elements of a National Air Quality Forecasting System, including the development and implementation of an evaluation protocol. This Pilot Program enlisted three regional-scale air quality models, serving as ...

Nov. 1, 2005

By Air & Waste Management Association (A&WMA)

Real time, high resolution regional weather and air quality forecasting system in West Macedonia, Greece

This paper presents an overview of the University of Western Macedonia's (UoWM) operational model for predicting the prevailing meteorological and air quality conditions on a high resolution (2 × 2 km²) scale. The MM5 – SMOKE – CMAQ has been suitably parameterised with respect to the particular geographical and climatic characteristics of the region of West Macedonia. The system is designed to ...

Feb. 8, 2011

By Inderscience Publishers

Forecasting air quality in the Greater Athens area for the year 2004: an intercomparison of the results of four different dispersion models

Forecasts for the NOx concentration levels in the Greater Athens area in 2004 are compared to the corresponding figures for 1990. Simulations are performed for two meteorological cases using four different dispersion models. Two different emission inventories are employed in the simulations. The first is based on the conditions for the year 1990, while the second is the reference scenario for the ...

Jan. 26, 2004

By Inderscience Publishers

A modelling system for air quality management

To develop effective air quality management strategies at regional and urban levels requires the preparation of several actions belonging to different scientific areas and analysis of their complex interactions. A well-structured management system must be based on efficient tools that integrate diverse sets of information - emissions, traffic, meteorological variables and air quality data. ...

Jan. 26, 2004

By Inderscience Publishers

Studies of air quality predictors based on neural networks

In recent years, urban air pollution has emerged as an acute problem because of its negative effect on health and living conditions. Regional air quality problems, in general, are linked to violations of specified air quality standards. The current study aims to find neural network based air quality predictors, which can work with a limited number of datasets and are robust enough to handle data ...

May 11, 2004

By Inderscience Publishers

Every breath you take — air quality in Europe

The characters in this story are fictional. However the data are real. The story is set on 27 July 2008 when an air quality warning was issued in Brussels. Anna is 37 years old and lives in the centre of Brussels. She and her young son Johan are planning a trip outside the busy city. Anna suffers from asthma and her doctor has warned of the dangers of air pollution, especially on hot summer days. ...

Mar. 2, 2009

By European Environment Agency (EEA)

Numerical model–based relationship between meteorological conditions and air quality and its implication for urban air quality management

Relationships between winter air pollutant concentrations and ten meteorological parameters were investigated based on observed pollutant concentrations and high–resolution meteorological data from weather research and forecast model, and multiple linear regression models were developed for estimating NO2 and PM10 concentrations over ...

Mar. 20, 2014

By Inderscience Publishers

Predicting air quality in Uberlandia, Brazil, using linear models and Neural Networks

Particulate air pollution causes a wide range of effects on human health, including disorders of the respiratory and cardiovascular systems, asthma and can cause mortality. Hence, the development of an efficient air quality forecasting and early warning system is an obvious and imperative need. The objective of this work was to investigate this forecasting possibility using linear models (such as ...

Dec. 20, 2011

By Inderscience Publishers

PRESAXIO regional air quality modelling system: validation and applications

Different operational air quality forecasts (ESSEM Cost Action 0602) are currently available in Europe. However, most of them are not suitable for regional application and, also, their coarse outputs do not fit well with air quality management needs. In this work, PRESAXIO regional air quality modelling system is validated and applied over Galicia (NW of Spain), including WRF and CHIMERE models. ...

Dec. 1, 2014

By Inderscience Publishers

Air quality photochemical study over Amazonia Area, Brazil

This work presents the results of a photochemical modelling system composed of MM5–SMOKE–CMAQ on Brazilian Amazonia area, been a pioneered implementation task. These results focus on the biogenic and biomass burning emissions and the impact of these emissions on regional air quality. Global and local anthropogenic emissions data, satellite–derived biomass burning inventories, ...

Oct. 13, 2012

By Inderscience Publishers

Using ADMS models for Air Quality Assessment and Management in China

Many cities and regions are undertaking studies of air quality in cities to determine both the current state of the environment and the effect of future economic and environmental strategies in order to manage local air quality. Often these studies are driven by legislation such as the European Union requirement to model agglomerations or the Chinese requirements to study air quality capacity and ...

Jan. 1, 2005

By Cambridge Environmental Research Consultants (CERC)

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