Unlabelled: A new simple cumulative index, named Critical Index (CI), linearly dependent on traffic load and outdoor 222Rn levels (as related to the air mixing condition) was introduced in order to determine the cumulative effect of traffic and atmospheric dilution on PM10 (particles with aerodynamic diameter < 10 microm) and Benzene concentrations in Milan (Italy) air in the years 2000 and 2001. Benzene, PM10 data were obtained from the public air quality monitoring stations. The traffic load was evaluated by the number of vehicles circulating in a street in the centre of Milan. Outdoor 222Rn measurements were carried out by the authors. Traffic data and mixing layer height (estimated through the outdoor 222Rn air activity) combined in a cumulative index, allowed to demonstrate the correlation of traffic load with high Benzene and PM10 pollution levels without exception.
Implications: Through the introduction of a new simple cumulative index that is linearly dependent on traffic load and outdoor radon levels (as related to the air mixing condition), it was possible to ascertain the cumulative effect of traffic and atmospheric dilution on PM10 and benzene concentrations in Milan air in the years 2000 and 2001. The proposed methodology will be used to monitor the situation with data collected 10 yr later, in order to evaluate air quality improvement taking into account the influence of different meteorological conditions of the two periods compared.
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http://dx.doi.org/10.1080/10962247.2013.801375 | DOI Listing |
Fatigue cracking of rib-to-deck conventional single-sided welded joints is a prevalent issue in orthotropic steel decks (OSDs), significantly impacting their structural integrity and durability. Rib-to-deck innovative double-sided welded joints have the potential to enhance the fatigue resistance of OSD. However, Welding Residual Stresses (WRS) significantly influence the fatigue life of these joints, mandating its consideration in fatigue assessments.
View Article and Find Full Text PDFArthrosc Tech
November 2024
Department of Orthopedics, Joint Surgery and Sports Medicine, First Affiliated Hospital of China Medical University; Shenyang Sports Medicine Clinical Medical Research Center, Shenyang, People's Republic of China.
The posterior cruciate ligament (PCL) is the strongest ligament of the knee and plays an important role in stabilizing the knee joint posteriorly. PCL tears are common injuries in sports injuries and traffic accidents; however, clinical outcomes after PCL reconstruction have not yet met clinicians' expectations, with a high postsurgery failure rate reported. Suture tape augmentation and supplementary fixation have shown ideal biomechanical properties in early studies.
View Article and Find Full Text PDFPLoS One
December 2024
RIOTU Lab, CCIS, Prince Sultan University, Riyadh, Saudi Arabia.
Vehicular Networks (VN) utilizing Software Defined Networking (SDN) have garnered significant attention recently, paralleling the advancements in wireless networks. VN are deployed to optimize traffic flow, enhance the driving experience, and ensure road safety. However, VN are vulnerable to Distributed Denial of Service (DDoS) attacks, posing severe threats in the contemporary Internet landscape.
View Article and Find Full Text PDFEnviron Geochem Health
December 2024
Key Laboratory of Urban Stormwater System and Water Environment, Ministry of Education, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.
Road-Deposited Sediments (RDS) samples were collected from four different roads in Beijing, and the distribution of pollutants in RDS with various particle sizes was compared. In this study, the cumulative mass of RDS exhibited a positive correlation with the number of dry days, and the RDS load below 75 μm was also influenced by road traffic volume. As traffic volume escalated, there was a corresponding increase in the load of these smaller RDS.
View Article and Find Full Text PDFSensors (Basel)
December 2024
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
The accurate identification of traffic loads acting on bridges provides an effective basis for the traffic control and operation of in-service bridges. To improve the efficiency and accuracy of loading identification, we propose an efficient multiparameter identification method with a Legendre neural network (LNN) for the monitoring of traffic loads across the full spatiotemporal domain. Compared to conventional studies that suffer from ill-posed problems and neural network-based means that lack a physically interpretable model, with the proposed strategy, both the explicit expression and time histories of the traffic load can be simultaneously obtained.
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