scholarly journals Spatial Characterization of Black Carbon Mass Concentration in the Atmosphere of a Southeast Asian Megacity: An Air Quality Case Study for Metro Manila, Philippines

2018 ◽  
Vol 18 (9) ◽  
pp. 2301-2317 ◽  
Author(s):  
Honey Dawn Alas ◽  
Thomas Müller ◽  
Wolfram Birmili ◽  
Simonas Kecorius ◽  
Maria Obiminda Cambaliza ◽  
...  
2016 ◽  
Vol 50 (7) ◽  
pp. 4118-4126 ◽  
Author(s):  
Yun Li ◽  
Jing Meng ◽  
Junfeng Liu ◽  
Yuan Xu ◽  
Dabo Guan ◽  
...  

2021 ◽  
Author(s):  
Grzegorz Florczyk ◽  
Krzysztof Markowicz

<p>Relative humidity and rates of its change are relevant parameters in atmospheric sciences. Observations of output data of AE-51 aethalometer operating in ACS1000 humidity chamber reveal strong dependence of attenuation on rapid relative humidity changes. Data collected in winter 2020/21 suggests a probability of similar effect occurring during UAV measurements as thermodynamic parameters could change fast during such runs. Two AE-51 devices were connected in the WET and DRY ACS1000 humidity chamber's channels. During periodic relative humidity oscillations, incident negative peaks of equivalent black carbon mass concentration coincide with high negative derivatives of relative humidity. In most extreme cases values of -1000 ng/m3 equivalent black carbon mass concentration were recorded in parallel with relative humidity derivative of -1.5 %/min. These correlations seem to play an important role in atmospheric measurements as vertical profiles of aerosol parameters such as attenuation are collected using UAV runs during which relative humidity varies significantly. Our goal is to propose a correction method to minimise these anomalies.</p>


2018 ◽  
Author(s):  
Yuxuan Zhang ◽  
Xin Li ◽  
Meng Li ◽  
Yixuan Zheng ◽  
Guannan Geng ◽  
...  

Abstract. Reducing black carbon (BC) emissions has been recognized as an efficient way to simultaneously improve air quality and mitigate climate change. However, the benefits of BC emission controls are not well quantified partly due to a lack of understanding of the changes in BC light absorption as a result of emission reductions. In this work, we discussed the effects of multi-pollutant emission reductions on the BC light absorption based on a field campaign study conducted before, during and after the 2014 APEC (Asia-Pacific Economic Cooperation) meeting in Beijing, China. When emission restrictions were in place during APEC, we found that the reduction in the light absorption of BC-containing particles was driven by both the decrease in BC mass concentration and the weakened light-absorption capability of BC. Compared with that before and after APEC, the daytime light absorption of BC-containing particles during APEC reduced by ~ 56 %, of which ~ 48 % was contributed by the decrease in BC mass concentration and the remain ~ 8 % was contributed by a weakening of light-absorption capability for BC. Based on single particle soot photometer (SP2) measurement and Mie calculation, we estimated that the light-absorption capability of BC-containing particles with ~ 80–200 nm refractory BC (rBC) cores at daytime during APEC was reduced by ~ 6–15 % and ~ 10–20 % compared with that before and after APEC, respectively. The decrease in BC light-absorption capability could be attributed to less coating materials on BC surfaces as a result of a decreased chemical production of secondary aerosols. Compared with that before and after APEC, the mass ratio between the coating materials and rBC core (~ 80–200 nm) during APEC decreased by ~ 10–30 % and ~ 31–53 %, respectively, due to reductions in coating precursor emissions, e.g., SO2 and NO2. The results revealed the benefits of emission control on BC light absorption by simultaneously reducing the mass concentration and light-absorption capability of BC, implying that synergetic reduction in multiple-pollutant emission could benefit both air quality and climate.


Geomorphology ◽  
2012 ◽  
Vol 171-172 ◽  
pp. 190-200 ◽  
Author(s):  
M. Schwarz ◽  
D. Cohen ◽  
D. Or

2009 ◽  
Vol 10 (1) ◽  
pp. 29-33 ◽  
Author(s):  
K. V. S. Badarinath ◽  
Shailesh Kumar Kharol ◽  
R. R. Reddy ◽  
K. Rama Gopal ◽  
K. Narasimhulu ◽  
...  

Finisterra ◽  
2012 ◽  
Vol 38 (75) ◽  
Author(s):  
Cristina Santos ◽  
José Almeida

SPATIAL CHARACTERIZATION OF A PRODUCTIVITY INDEX OF MARITIME PINE IN PORTUGAL. Forestry plays an important role in the Portuguese regional economy. With this in mind, it is clear that robust and consistent modelling techniques are required so that all decisions can be scientifically based. This work aims to calculate maps illustrating the spatial distribution of the productivity index of maritime pine in Portuguese forests, using geostatistical algorithms of stochastic simulation in association with GIS and spatial analysis functions. These geostatistical algorithms enable this productivity index to be inferred for the locations where this species occurs, but without sampling observations. In this particular case study, data were provided by the third National Forest Inventory of the State Forest Administration. Based on measurements collected in sampling plots, of the height and age of dominant trees, a productivity index was calculated, summarizing the growth gradient level per year. Experimental variograms showed that the productivity index treated as a categorical variable with five classes does not reveal any spatial continuity. On the other hand, the two components of the index – height and age of the trees – present a spatial structure displayed by long-range variograms. Hence, instead of dealing with the productivity index, the decision was made to characterize the spatial distribution of these two factors and to compose the index as the final step. Thus, a methodology is used for the joint spatial characterization of the height and age of maritime pine prior to the calculation of a productivity index. One of the main advantages of stochastic simulation methodologies is the ability to assess the local uncertainty (related to sampling density, location of the nearest samples and local variability), as well as to map the probability of occurrence of extreme scenarios (in this case study, for instance, excellent or unproductive areas). These methodologies are major tools for the sustainable planning and management of natural resources, making it possible to delimit areas of greater and lesser suitability for each type of forest and to understand better the influence of factors that really affect tree development and growth.


2021 ◽  
Author(s):  
Michele Bertò ◽  
David Cappelletti ◽  
Elena Barbaro ◽  
Cristiano Varin ◽  
Jean-Charles Gallet ◽  
...  

2021 ◽  
Author(s):  
Ulrich Radeschnig ◽  
Markus Knoll ◽  
Benjamin Lang ◽  
Alexander Bergmann

Sign in / Sign up

Export Citation Format

Share Document