scholarly journals A brief survey on the availability of satellite air pollution data

2021 ◽  
Vol 906 (1) ◽  
pp. 012014
Author(s):  
Jernej Cukjati ◽  
Domen Mongus ◽  
Borut Žalik
Keyword(s):  
Air Pollution ◽  
Greenhouse Gases ◽  
Satellite Data ◽  
Data Sources ◽  
Data Selection ◽  
Satellite Missions

Abstract Satellite air pollution data sources are presented in this article. Satellite missions are listed and described, and corresponding instruments measuring the concentration of greenhouse gases or other parameters that affect air pollution. Main data hubs are enumerated, and other platforms providing access to the data in different formats. Some platforms contain tools and services that have the capabilities to process and store the satellite data further. Most of them also provide the visualisation of the data, and other simplifications for data selection.

Future changes in Beijing haze events under different shared socioeconomic pathways

2021 ◽  
Author(s):  
Liang Guo ◽  
Laura Wilcox ◽  
Massimo Bollasina ◽  
Steven Turnock ◽  
Marianne Lund ◽  
...  
Keyword(s):  
Air Pollution ◽  
Global Warming ◽  
Greenhouse Gases ◽  
Weather Patterns ◽  
Greenhouse Gases Emissions ◽  
Wide Range ◽  
The Future ◽  
Aerosol Emissions

<p>The occurrence of severe haze events remains a serious problem in Beijing. Previous studies suggested that the frequency of weather patterns conducive to haze may increase with global warming. The new Shared Socioeconomic Pathways (SSPs) cover a wide range of uncertainties in aerosol and greenhouse gases emissions. Global and Chinese aerosol emissions are projected to decrease in most SSPs, while increases in greenhouse gases and global warming will continue for the rest of the century. The future, therefore, remains unclear.</p><p>We quantified the air pollution over Beijing and associated weather patterns using multiple indices calculated from the SSPs</p><p>We show that the occurrence of weather patterns conducive to the formation of haze significantly increases by the end of the century due to increases in greenhouse gases. Aerosol reductions also cause an increase in their occurrence, but reduce the severity of haze, and overall reducing aerosol emissions will be beneficial.</p>

scholarly journals Satellite data for upscalling urban air pollution in Malaysia

2018 ◽  
Vol 169 ◽  
pp. 012036
Author(s):  
Nurul Amalin Fatihah Kamarul Zaman ◽  
Kasturi Devi Kanniah ◽  
Dimitris G Kaskaoutis
Keyword(s):  
Air Pollution ◽  
Satellite Data ◽  
Urban Air Pollution ◽  
Urban Air

scholarly journals Impact of COVID-19 Pandemic on Air Pollution in Poland Based on Surface Measurements and Satellite Data

2021 ◽  
Vol 21 ◽  
pp. 200472-200472
Author(s):  
Mikalai Filonchyk ◽  
Volha Hurynovich ◽  
Haowen Yan
Keyword(s):  
Air Pollution ◽  
Satellite Data ◽  
Surface Measurements

scholarly journals City Logistics and Air Quality

2018 ◽  
Vol 6 (1) ◽  
pp. 26-29
Author(s):  
Radovan Slávik ◽  
◽  
Dominika Beňová ◽  
Jozef Gnap ◽  
Ondrej Stopka
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Greenhouse Gases ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Slovak Republic ◽  
Road Transport ◽  
City Logistics ◽  
Harmful Emissions ◽  
The Impact

The paper focuses on the impact of city logistics on air quality. The first chapter focuses on the EU's transport policy for 2030-2050 to reduce greenhouse gas emissions. The second chapter focuses on air quality in the Slovak Republic and the amount of greenhouse gases in the air. The aim of the contribution is to highlight the impact of road transport on air quality and air pollution as well as the need to reduce these harmful emissions.

scholarly journals Trends in Emission Inventory of Marine Traffic for Port of Haifa

2021 ◽  
Author(s):  
Elyakim BenHakoun ◽  
Eddy Van de Voorde ◽  
Yoram Shiftan
Keyword(s):  
Air Pollution ◽  
Emission Inventory ◽  
Social Cost ◽  
Economic Incentive ◽  
Data Sources ◽  
Inventory Level ◽  
Model Framework ◽  
Technological Infrastructure ◽  
Single Vessel ◽  
Marine Traffic

This research investigates Haifa ports emissions’ contribution to the existing daily emission inventory level in the area. This research based on developed full bottom-up model framework that looks at the single vessel daily voyage through its port call stages. The main data sources for vessels movements used in this research are the Israel Navy`s movements log and Israel Administration of Shipping and Ports’ (ASP) operational vessel movements and cargo log. The Fuel Consumption (FC) data and Sulfur Content (SC) levels are based on an official Israel ASP survey data. Observation years in this research are 2010 - 2018 with focus on the Ocean-Going Vessels (OGV) type only. The results show that the vessel fleet calling at Israel ports is mainly vessels that have a lower engine Tier grade (i.e., Tier 0 and 1) which is considered a heavy contributor to Nitrogen Oxides (NOx) pollutant. The study recommends on an additional cost charged (selective tariff) to reflect the external social cost linked to the single vessel air pollution combined with supportive technological infrastructure and economic incentive tools (e.g. electric subsidy) to attract or influence vessel owners to assign vessels equipped with new engine Tier grades for calls at Israeli ports.

PENGARUH PEMAHAMAN WAJIB PAJAK, KUALITAS PELAYANAN DAN SANKSI PERPAJAKAN TERHADAP KEPATUHAN WAJIB PAJAK PADA KPP PRATAMA SURAKARTA

2020 ◽  
Vol 18 (1) ◽  
pp. 28
Author(s):  
Musa Zul Hazmi ◽  
Suhendro Suhendro ◽  
Riana Rahcmawati Dewi
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Random Sampling ◽  
Quantitative Research ◽  
Sampling Method ◽  
Selection Method ◽  
Data Sources ◽  
Data Selection ◽  
Primary Data

This research was conducted to assess whether understanding taxpayers, service quality, and tax penalties against the KPP Pratama Surakarta. Population in this research are Individual Taxpayers at KPP Pratama Surakarta. Data sources in this study are primary data collected by researchers through questionnaires distributed to 110 respondents, but returned and complete questionnaires were 60 respondents . This research is a quantitative research with 60 respondents at KPP Pratama Surakarta.  The data selection method is the random sampling method. The data in this study were processed using the SPSS 21.0 for Windows application. Based on research results understanding taxpayers, service quality, and tax sanctions have a significant effect on taxpayer approval. Understanding tax regulations becomes a benchmark for taxpayers in completing their tax obligations. The quality of service provided by the tax authorities influences taxpayer compliance, indicating that service quality is a benchmark to make taxpayers obey. The existence of tax sanctions that are given expressly will increase the level of compliance, because making taxpayers afraid of being subjected to these sanctions and the stipulation of tax sanctions will deter taxpayers and clear and firm sanctions. Keywords: Understanding, Service Quality, Penalties, Taxpayers

scholarly journals Aerosol climatology over Nile Delta based on MODIS, MISR and OMI satellite data

2011 ◽  
Vol 11 (20) ◽  
pp. 10637-10648 ◽  
Author(s):  
H. S. Marey ◽  
J. C. Gille ◽  
H. M. El-Askary ◽  
E. A. Shalaby ◽  
M. E. El-Raey
Keyword(s):  
Air Pollution ◽  
Satellite Data ◽  
Nile Delta ◽  
Complex Mixture ◽  
Spherical Particles ◽  
Medium Size ◽  
Delta Region ◽  
Fall Season ◽  
Mean Values ◽  
Desert Dust

Abstract. Since 1999 Cairo and the Nile delta region have suffered from air pollution episodes called the "black cloud" during the fall season. These have been attributed to either burning of agriculture waste or long-range transport of desert dust. Here we present a detailed analysis of the optical and microphysical aerosol properties, based on satellite data. Monthly mean values of Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) at 550 nm were examined for the 10 yr period from 2000–2009. Significant monthly variability is observed in the AOD with maxima in April or May (~0.5) and October (~0.45), and a minimum in December and January (~0.2). Monthly mean values of UV Aerosol Index (UVAI) retrieved by the Ozone Monitoring Instrument (OMI) for 4 yr (2005–2008) exhibit the same AOD pattern. The carbonaceous aerosols during the black cloud periods are confined to the planetary boundary layer (PBL), while dust aerosols exist over a wider range of altitudes, as shown by Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) aerosol profiles. The monthly climatology of Multi-angle Imaging SpectroRadiometer (MISR) data show that the aerosols during the black cloud periods are spherical with a higher percentage of small and medium size particles, whereas the spring aerosols are mostly large non-spherical particles. All of the results show that the air quality in Cairo and the Nile delta region is subject to a complex mixture of air pollution types, especially in the fall season, when biomass burning contributes to a background of urban pollution and desert dust.

scholarly journals Research on GF-6 Data Selection Technology for Fine Classification of Forest Land

2019 ◽  
Vol 131 ◽  
pp. 01064 ◽  
Author(s):  
Guang Deng ◽  
Peng Zhang ◽  
Zhiyong Li ◽  
xin Tian
Keyword(s):  
Satellite Data ◽  
Selection Process ◽  
Data Availability ◽  
Data Selection ◽  
Wide Field ◽  
Large Area ◽  
Business Applications ◽  
The Face ◽  
Screening Efficiency ◽  
Selection Stage

GF-6 satellite is a kind of high-resolution satellites launched by China in recent years. Its sensors have the characteristics of multispectrals, wide field of view, high spatial resolution and high frequency imaging. In order to carry out fine identification of forest types, this paper proposes a method to improve data screening efficiency and data availability rate in GF-6 satellite data selection stage. This paper describes the selection process and key technical methods of GF-6 satellite data, and gives a verification program. It has been proved that the program meets the design objectives and can quickly scree out the required fast screening technologies in the face of massive data and large-area business applications, thus increasing the degree of automation and reducing the workload of manual visual selection.

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