Atmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change [0.03%]
切萨皮克湾流域大气氮沉降变化历史研究
Douglas A Burns,Gopal Bhatt,Lewis C Linker et al.
Douglas A Burns et al.
The Chesapeake Bay watershed has been the focus of pioneering studies of the role of atmospheric nitrogen (N) deposition as a nutrient source and driver of estuarine trophic status. Here, we review the history and evolution of scientific in...
Solar-powered air quality monitor applied under subtropical conditions in Hong Kong: Performance evaluation and application for pollution source tracking [0.03%]
应用于香港亚热带地区的太阳能空气质量监测仪：性能评估及污染源追踪应用研究
Peng Wei,Zhi Ning,Dane Westerdahl et al.
Peng Wei et al.
Air monitoring is desirable in many places to understand dynamic pollution trends and sources and improve knowledge of population exposure. While highly miniaturized low cost sensor technology is quickly evolving, there is also a need for t...
Jessica L Perkins,Luz T Padró-Martínez,John L Durant
Jessica L Perkins
Exposure to traffic-related air pollution has been linked to increased risks of cardiopulmonary disease, asthma, and reduced lung function. Ultrafine particles (UFP; aerodynamic diameter < 100 nm), one component of traffic exhaust, may cont...
Quantifying wintertime O3 and NOx formation with relevance vector machines [0.03%]
利用相关向量机量化冬季O3和NOx的生成
David A Olson,Theran P Riedel,John H Offenberg et al.
David A Olson et al.
This paper uses a machine learning model called a relevance vector machine (RVM) to quantify ozone (O3) and nitrogen oxides (NOx) formation under wintertime conditions. Field study measurements were based on previous work described by Olson...
Improving Estimates of PM2.5 Concentration and Chemical Composition by Application of High Spectral Resolution Lidar (HSRL) and Creating Aerosol Types from Chemistry (CATCH) Algorithm [0.03%]
基于高光谱分辨率激光雷达（HSRL）和化学气溶胶分类（CATCH）算法改善PM2.5浓度及化学组分估算能力研究
Nicholas Meskhidze,Bethany Sutherland,Xinyi Ling et al.
Nicholas Meskhidze et al.
Improved characterization of ambient PM2.5 mass concentration and chemical speciation is a topic of interest in air quality and climate sciences. Over the past decades, considerable efforts have been made to improve ground-level PM2.5 using...
Wildland Fire Emission Sampling at Fishlake National Forest, Utah Using an Unmanned Aircraft System [0.03%]
基于无人飞机系统在犹他州费雪湖国家森林的野外火灾排放取样研究
J Aurell,B Gullett,A Holder et al.
J Aurell et al.
Emissions from a stand replacement prescribed burn were sampled using an unmanned aircraft system (UAS, or "drone") in Fishlake National Forest, Utah, U.S.A. Sixteen flights over three days in June 2019 provided emission factors for a broad...
Application of land use regression to assess exposure and identify potential sources in PM2.5, BC, NO2 concentrations [0.03%]
土地利用回归在PM2.5、BC、NO2浓度评估暴露和识别潜在来源中的应用
Jing Cai,Yihui Ge,Huichu Li et al.
Jing Cai et al.
Background: Understanding spatial variation of air pollution is critical for public health assessments. Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollut...
Impact of the first induced COVID-19 lockdown on air quality in Israel [0.03%]
以色列首次强制性COVID-19封锁对空气质量的影响
Sarit Agami,Uri Dayan
Sarit Agami
The coronavirus disease 2019 (COVID-19) induced a lockdown that has resulted in a sharp reduction in air and motor traffic and industrial activities. This in turn led to a reduction in air pollution around the world. It is important to quan...
Source Apportionment of Environmental Combustion Sources using Excitation Emission Matrix Fluorescence Spectroscopy and Machine Learning [0.03%]
基于激发发射矩阵荧光光谱和机器学习的环境燃烧源分配研究
Jay W Rutherford,Timothy Larson,Timothy Gould et al.
Jay W Rutherford et al.
The link between particulate matter (PM) air pollution and negative health effects is well-established. Air pollution was estimated to cause 4.9 million deaths in 2017 and PM was responsible for 94% of these deaths. In order to inform effec...
Comparative analysis of ventilation efficiency on ultrafine particle removal in university MakerSpaces [0.03%]
高校创客空间通风光学条件下超细颗粒物清除效率的比较分析研究
Lynn E Secondo,Hayat I Adawi,John Cuddehe et al.
Lynn E Secondo et al.
The proliferation of 3D printing MakerSpaces in university settings has led to an increased risk of student and technician exposure to ultrafine particles. New MakerSpaces do not have standardized specifications to aid in the design of the ...