scholarly journals NO2-immission assessment for an urban hot-spot by modelling the emission–immission interaction

Author(s):  
Tim Steinhaus ◽  
Mikula Thiem ◽  
Christian Beidl

AbstractUrban air quality and climate protection are two major challenges for future mobility systems. Despite the steady reduction of pollutant emissions from vehicles over past decades, local immission load within cities partially still reaches heights, which are considered potentially hazardous to human health. Although traffic-related emissions account for a major part of the overall urban pollution, modelling the exact interaction remains challenging. At the same time, even lower vehicle emissions can be achieved by using synthetic fuels and the latest exhaust gas cleaning technologies. In the paper at hand, a neural network modelling approach for traffic-induced immission load is presented. On this basis, a categorization of vehicle concepts regarding their immission contribution within an impact scale is proposed. Furthermore, changes in the immission load as a result of different fleet compositions and emission factors are analysed within different scenarios. A final comparison is made as to which modification measures in the vehicle fleet offer the greatest potential for overall cleaner air.

2018 ◽  
Vol 163 ◽  
pp. 686 ◽  
Author(s):  
Mansooreh Dehghani ◽  
Mehdi Fazlzadeh ◽  
Armin Sorooshian ◽  
Hamid Reza Tabatabaee ◽  
Mohammad Miri ◽  
...  

Author(s):  
Jun Sawada ◽  
Yoshihiko Matsui ◽  
Karol Hensel ◽  
Ippei Koyamoto ◽  
Kazunori Takashima ◽  
...  

2018 ◽  
Vol 932 ◽  
pp. 124-128
Author(s):  
Wei Feng Liu ◽  
Xue Wei Li ◽  
Wen Bo Dong ◽  
Le Bo ◽  
Yi Min Zhu ◽  
...  

Poly-γ-glutamic acid (γ-PGA) produced by Bacillus pumilus C2 was employed to remove heavy metals from sewage of magnesium - based exhaust gas cleaning system (Mg-EGCS). The components of heavy metals in the sewage were detailed analyzed. On the base of the analytical results, the effects of addition amount of γ-PGA, adsorption time, temperature and NaCl concentration on the removal efficiency of typical heavy metals were further investigated. The optimal removal rates of heavy metals were obtained at the γ-PGA dosage of 9 g/L and adsorption duration of 30 min. The γ-PGA had excellent tolerance for high temperatures up to 80°C and exhibited steady heavy metal removal efficiency in NaCl concentrations of 0 – 24%. Under the optimal conditions, the removal rates of Zn, Cr, V, Cd, Pb and Ni by γ-PGA in a real sewage of Mg-EGCS achieved 53.6%, 100%, 49.2%, 72.7%, 33.7% and 39.9% respectively.


2018 ◽  
Vol 10 (7) ◽  
pp. 1118 ◽  
Author(s):  
Alexandre Caseiro ◽  
Gernot Rücker ◽  
Joachim Tiemann ◽  
David Leimbach ◽  
Eckehard Lorenz ◽  
...  

Gas flaring is a disposal process widely used in the oil extraction and processing industry. It consists in the burning of unwanted gas at the tip of a stack and due to its thermal characteristic and the thermal emission it is possible to observe and to quantify it from space. Spaceborne observations allows us to collect information across regions and hence to provide a base for estimation of emissions on global scale. We have successfully adapted the Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire algorithm for the detection and characterisation of persistent hot spots, including gas flares, to the Sea and Land Surface Temperature Radiometer (SLSTR) observations on-board the Sentinel-3 satellites. A hot event at temperatures typical of a gas flare will produce a local maximum in the night-time readings of the shortwave and mid-infrared (SWIR and MIR) channels of SLSTR. The SWIR band centered at 1.61 μm is closest to the expected spectral radiance maximum and serves as the primary detection band. The hot source is characterised in terms of temperature and area by fitting the sum of two Planck curves, one for the hot source and another for the background, to the radiances from all the available SWIR, MIR and thermal infra-red channels of SLSTR. The flaring radiative power is calculated from the gas flare temperature and area. Our algorithm differs from the original VIIRS Nightfire algorithm in three key aspects: (1) It uses a granule-based contextual thresholding to detect hot pixels, being independent of the number of hot sources present and their intensity. (2) It analyses entire clusters of hot source detections instead of individual pixels. This is arguably a more comprehensive use of the available information. (3) The co-registration errors between hot source clusters in the different spectral bands are calculated and corrected. This also contributes to the SLSTR instrument validation. Cross-comparisons of the new gas flare characterisation with temporally close observations by the higher resolution German FireBIRD TET-1 small satellite and with the Nightfire product based on VIIRS on-board the Suomi-NPP satellite show general agreement for an individual flaring site in Siberia and for several flaring regions around the world. Small systematic differences to VIIRS Nightfire are nevertheless apparent. Based on the hot spot characterisation, gas flares can be identified and flared gas volumes and pollutant emissions can be calculated with previously published methods.


2015 ◽  
Vol 50 (3) ◽  
pp. 324-331
Author(s):  
Takashi Inui ◽  
Masaya Tabaru ◽  
Yukio Aoki ◽  
Akinori Zukeran

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