Rising global temperatures have increased the frequency and intensity of wildfires worldwide, especially in northern and temperate forests. These extreme fires have sparked significant legal claims affecting agriculture, forestry, tourism, and infrastructure. Accurately understanding wildfire smoke dispersion is vital in legal disputes to identify which fires caused specific impacts and to gauge their effects amid multiple simultaneous wildfires.
In recent decades, wildfire size and intensity worldwide have increased significantly alongside rising global temperatures. Scientific studies using satellite data over the past 20 years show that extreme wildfires have more than doubled in frequency and intensity globally, particularly in northern and temperate forests such as western North America, boreal forests of northern North America and Russia, and parts of Australia. These wildfires have driven significant legal actions as affected parties seek compensation for damages. The economic impact spans sectors including agriculture, forestry, tourism, and infrastructure, compounding financial pressures on communities and insurers and fueling litigation over liability and compensation. This trend is expected to persist or worsen in coming years.
Air Sciences had a significant presence at the 2024 PNWIS Annual Conference, held November 12–15 in Eugene, Oregon. The conference is the signature event of the Pacific Northwest International Section of the Air & Waste Management Association. This year, Air Sciences was proud to be a platinum conference sponsor.
One Air Sciences’ team member’s graduate research at Portland State University (Oregon) clocked a lot of time with a tabletop ultraviolet (UV)-visible spectrometer. This equipment measures how much a chemical substance absorbs light. You see, Matt had painstakingly prepared hundreds of passive air pollution monitoring devices to conduct high-density measurements of nitrogen dioxide (NO2) in east Portland. To “extract” the adsorbed NO2 from the devices, an aqueous solution was prepared with spectral properties that changed with the amount of NO2 present. Perfect, tedious work for a grad student, but it ultimately produced some gratifying results.