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Air Quality Modeling Articles & Analysis
348 articles found
Alberta Environment is becoming a policy driven and outcomes focused ministry. A key factor in the success of this strategic shift is being able to effectively monitor and report on the state of the environment. The objective was to demonstrate that the department is achieving its desired environmental outcomes using a systems management ...
Atmospheric NO and NOy monitoring during in-flight research missions has become an essential tool for understanding the complex chemistry of the upper troposphere and lower stratosphere. The ECO PHYSICS CLD780TR analyzer plays a crucial role in these measurements, offering high precision and reliability for airborne applications. ...
Airport Air Quality: Challenges, Impacts, and Solutions Let’s talk about something we rarely notice but breathe every day at airports: the air quality. ...
Lakes Software recently announced its acquisition of the CALPUFF modeling system from Exponent. Because Lakes’ CALPUFF View interface is well known throughout the modeling community, some modelers were not aware of the differences between this application and the stand-alone modeling system. This tip will explain the relationship between the modeling system and the CALPUFF View ...
To confront this silent killer, scientists at the National Institute of Water and Atmospheric Research (NIWA) have turned to a powerful ally - hyperlocal air quality mapping, powered by compact solar-charged air quality sensors. As Principal Scientist for Air Quality, Dr. Longley has pioneered ...
In this case study, you’ll learn how Kansanshi Mine improved its compliance monitoring, reduced operational overhead and increased reliability by deploying its first network of Clarity Node-S devices. In this case study, you’ll learn how Kansanshi Mine improved its compliance monitoring, reduced operational overhead and increased reliability by deploying its first network of Clarity ...
Interstate air pollution transport refers to pollution from upwind emission sources that impact the air quality in a different state ...
As part of the California Air Resources Board (CARB) AB617 Community Air Monitoring Program, Clarity deployed a 50-sensor network in Richmond, California with Groundwork Richmond and Ramboll SHAIR. The network is used to evaluate pollution sources and hotspots in the industrial city, as well as engage community members in environmental ...
It enables operators and management staff to model odour impact and concentrations for up to 72 hours in advance to plan for periods of high risk. ...
Effective community engagement often starts with refuting or accepting responsibility for odour incidents, and then personnel can work backwards from the location of the odour complaint to find the cause of the problem using innovative processes like reverse trajectory air quality modelling. With this information you can not only make required ...
’ Although a familiar statement to many environmental managers, site-generated air quality, noise, water quality, odour, dust and vibration emissions have always been a notoriously difficult challenge. ...
What is the Necessity of the Implementing Air Quality Monitoring Systems? Gone are the days when air quality monitoring system is not even a word. ...
TL;DR — Data on wind speed and direction are an integral part of understanding the complete picture of air pollution. Wind can move air pollution away from its original source, both locally and on global scales, and accounts for historical patterns of air pollution disparities according to prevailing wind patterns. Understanding wind speed and direction can help pinpoint air pollution ...
It is now a well-established fact that exposure to poor air quality leads to serious health conditions. These health impacts on populations have led to a massive economic burden on economies around the world. This impact can be minimized by reducing our exposure to air pollution. We can do this by leveraging the latest technology which is available to us. One of the best ways of doing that is ...
THE BUILDING BLOCKS OF AIR QUALITY FORECASTS Air quality forecasts are generated by various air quality models. An air quality model is a collection of a number of mathematical equations. ...
CERC are supporting a PhD studentship at Nottingham University, which will investigate possible links between poor air quality, long-term illness and social deprivation. The project will explore the changing spatial and temporal distribution of PM2.5 across the City of Nottingham using available monitoring data and CERC's high-resolution urban ...
Atmospheric transport models benefit from real-time localized data inputs. Deteriorating air quality in urban areas is causing growing concern about public health and climate change. ...
It achieves the same goal as the original model ‒ detecting the size and type of aerosols in the atmosphere ‒ while offering the flexibility of a smaller unit. Data from the MiniMPL are highly effective for modeling cloud content, air quality and PBL measurements. A high pulse rate allows the instrument to accumulate ...
A multi-agency Air Quality Cell (AQC) was first established in England in 2009 following the Buncefield Oil Storage Depot incident. ...
Due to advances in scientific knowledge, higher resolution raw data, stringent air quality standards, and changing regulations, environmental modeling is demanding more and more from EHS professionals and their computers. All of these influences have resulted in significantly longer AERMOD model run times as compared to the ...