Author: Publisher: DIANE Publishing
ISBN: 1428903348
Category : Polycyclic aromatic hydrocarbons
Languages : en
Pages : 678
Book Description
Locating and estimating air emissions from sources of polycyclic organic matter
Author: Publisher: DIANE Publishing
ISBN: 1428903348
Category : Polycyclic aromatic hydrocarbons
Languages : en
Pages : 678
Book Description
EPA National Publications Catalog
Author: United States. Environmental Protection AgencyPublisher:
ISBN:
Category : Environmental protection
Languages : en
Pages : 896
Book Description
EPA 200-B.
Author: EPA National Publications Catalog
Author: United States. Environmental Protection AgencyPublisher:
ISBN:
Category : Environmental protection
Languages : en
Pages : 716
Book Description
Coal Tar Creosote
Author: C. MelberPublisher: WHO
ISBN:
Category : Medical
Languages : en
Pages : 154
Book Description
On cover: IPCS International Programme on Chemical Safety. Published under the joint sponsorship of the United Nations Environment Programme, the International Labour Organization and the World Health Organization, and produced within the framework of the Inter-organization Programme for the Sound Management of Chemicals (IOMC)
Toxicological Profile for Polycyclic Aromatic Hydrocarbons
Author: Publisher:
ISBN:
Category : Polycyclic aromatic hydrocarbons
Languages : en
Pages : 500
Book Description
Compilation of Air Pollutant Emission Factors
Author: Emission estimation based on traffic models and measurements
Author: Nikolaos TsanakasPublisher: Linköping University Electronic Press
ISBN: 9176850927
Category :
Languages : en
Pages : 143
Book Description
Traffic congestion increases travel times, but also results in higher energy usage and vehicular emissions. To evaluate the impact of traffic emissions on environment and human health, the accurate estimation of their rates and location is required. Traffic emission models can be used for estimating emissions, providing emission factors in grams per vehicle and kilometre. Emission factors are defined for specific traffic situations, and traffic data is necessary in order to determine these traffic situations along a traffic network. The required traffic data, which consists of average speed and flow, can be obtained either from traffic models or sensor measurements. In large urban areas, the collection of cross-sectional data from stationary sensors is a costefficient method of deriving traffic data for emission modelling. However, the traditional approaches of extrapolating this data in time and space may not accurately capture the variations of the traffic variables when congestion is high, affecting the emission estimation. Static transportation planning models, commonly used for the evaluation of infrastructure investments and policy changes, constitute an alternative efficient method of estimating the traffic data. Nevertheless, their static nature may result in an inaccurate estimation of dynamic traffic variables, such as the location of congestion, having a direct impact on emission estimation. Congestion is strongly correlated with increased emission rates, and since emissions have location specific effects, the location of congestion becomes a crucial aspect. Therefore, the derivation of traffic data for emission modelling usually relies on the simplified, traditional approaches. The aim of this thesis is to identify, quantify and finally reduce the potential errors that these traditional approaches introduce in an emission estimation analysis. According to our main findings, traditional approaches may be sufficient for analysing pollutants with global effects such as CO2, or for large-scale emission modelling applications such as emission inventories. However, for more temporally and spatially sensitive applications, such as dispersion and exposure modelling, a more detailed approach is needed. In case of cross-sectional measurements, we suggest and evaluate the use of a more detailed, but computationally more expensive, data extrapolation approach. Additionally, considering the inabilities of static models, we propose and evaluate the post-processing of their results, by applying quasi-dynamic network loading.
EPA-450/2
Author: Polycyclic Aromatic Hydrocarbons
Author: Huizhong ShenPublisher: Springer
ISBN: 3662496801
Category : Science
Languages : en
Pages : 187
Book Description
This thesis presents a comprehensive analysis of the global health impacts of polycyclic aromatic hydrocarbons (PAHs) in ambient air, conducted on the basis of a high-resolution emission inventory, global chemical transport modeling, and probabilistic risk assessment. One of the main strengths of the thesis is the concentration downscaling process, which provides a linkage between emissions and exposure concentrations at a comparatively high resolution. Moreover, by focusing on individual susceptibility, the thesis proposes an instrumental revision of current risk assessment methodology and argues that, if individual susceptibility were not taken into consideration, the overall risk would be underestimated by 55% and the proportion of highly vulnerable populations would be underestimated by more than 90%.