Estimation of land-based emissions during container terminal operations in the Ambarlı Port, Turkey

2021 ◽  
pp. 147509022110522
Author(s):  
Gökhan Kara ◽  
Esma Gül Emecen Kara ◽  
Olgay Okşaş
Keyword(s):  
Diesel Engines ◽  
Emission Inventory ◽  
Performance Indicator ◽  
Container Terminal ◽  
Pollutant Emissions ◽  
Emission Inventories ◽  
Container Terminal Operations ◽  
Container Ports ◽  
Mobile Emission ◽  
Terminal Operations

Many types of mobile vehicles are used simultaneously in container terminal operations. Because most of these mobile vehicles have diesel engines, they emit a significant amount of pollutant emissions into the atmosphere during their operation. They are considered as land-based mobile emission sources (MobES) and should be included in the total port emission inventory. The emission inventory is a basic requirement in developing an environmental management strategy to improve emission control. In this context, this study aims to estimate the emission inventories of mobile vehicles used in terminal operations in the Ambarlı container ports located in the city of Istanbul, which is one of the most populous cities in the world. In this respect, the amounts of the emissions of all the container handling equipment with diesel engines in the port areas, including external trucks delivering/receiving containers to/from the port were estimated using an activity-based method. It has been found that approximately 42.39% of the total CO2 emission is owing to terminal tractors and the total annual CO2 value per TEU (Twenty-foot Equivalent Unit) of MobES is 0.01259 tons. The CO2 value per TEU can serve as a CO2 emission performance indicator for land-based MobES in process of the evaluation of emission inventories in container ports.

scholarly journals Key Performance Indicator Development for Ship-to-Shore Crane Performance Assessment in Container Terminal Operations

2019 ◽  
Vol 8 (1) ◽  
pp. 6
Author(s):  
Jung-Hyun Jo ◽  
Sihyun Kim
Keyword(s):  
Performance Indicators ◽  
Performance Indicator ◽  
Container Terminal ◽  
Key Performance Indicators ◽  
Management Tool ◽  
Mean Time Between Failures ◽  
Equipment Operation ◽  
Container Crane ◽  
Container Terminal Operations ◽  
Terminal Operations

Since the introduction of containerization in 1956, its growth has led to a corresponding growth in the role of container seaborne traffic in world trade. To respond to such growth, requirements for setting up the common standards in various kinds of container harbor equipment, and identifying performance indicators to assess container handling equipment performance have increased. Although the operating systems in ship-to-shore cranes may be different at each container terminal, the four main movements are the same: hoist, trolley, gantry, and boom. By determining in this work the hour metrics for each movement, it was possible to define the key performance indicators to be adopted and assess ship-to-shore crane performance. The research results identified that the mean time between failures is decreasing because of the accumulation of long-lasting heavyweight operations, while the number of maintenance of machine parts incidents and man-hours is steadily increasing. The key performance indicators offer a management tool to guide future ship-to-shore container crane inspection and the results provide useful insights for future container crane equipment operation improvements.

scholarly journals Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon

2022 ◽  
Author(s):  
Anwar Al Shami ◽  
Elissar Al Aawar ◽  
Abdelkader Baayoun ◽  
Najat A. Saliba ◽  
Jonilda Kushta ◽  
...  
Keyword(s):  
Emission Inventory ◽  
Model Performance ◽  
Atmospheric Modeling ◽  
Atmospheric Pollutants ◽  
Pollutant Emissions ◽  
Emission Inventories ◽  
Gaseous Species ◽  
Emission Standard ◽  
Activity Data ◽  
Atmospheric Research

AbstractPhysically based computational modeling is an effective tool for estimating and predicting the spatial distribution of pollutant concentrations in complex environments. A detailed and up-to-date emission inventory is one of the most important components of atmospheric modeling and a prerequisite for achieving high model performance. Lebanon lacks an accurate inventory of anthropogenic emission fluxes. In the absence of a clear emission standard and standardized activity datasets in Lebanon, this work serves to fill this gap by presenting the first national effort to develop a national emission inventory by exhaustively quantifying detailed multisector, multi-species pollutant emissions in Lebanon for atmospheric pollutants that are internationally monitored and regulated as relevant to air quality. Following the classification of the Emissions Database for Global Atmospheric Research (EDGAR), we present the methodology followed for each subsector based on its characteristics and types of fuels consumed. The estimated emissions encompass gaseous species (CO, NOx, SO2), and particulate matter (PM2.5 and PM10). We compare totals per sector obtained from the newly developed national inventory with the international EDGAR inventory and previously published emission inventories for the country for base year 2010 presenting current discrepancies and analyzing their causes. The observed discrepancies highlight the fact that emission inventories, especially for data-scarce settings, are highly sensitive to the activity data and their underlying assumptions, and to the methodology used to estimate the emissions.

scholarly journals Enhanced atmospheric oxidizing capacity in simulating air quality with updated emission inventories for power plants especially for haze periods over East China

2017 ◽  
Author(s):  
Lei Zhang ◽  
Tianliang Zhao ◽  
Sunling Gong ◽  
Shaofei Kong ◽  
Lili Tang ◽  
...  
Keyword(s):  
Air Quality ◽  
Power Plants ◽  
Emission Inventory ◽  
Environmental Changes ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Atmospheric Environment ◽  
Pollutant Emission ◽  
East China ◽  
Emission Inventories

Abstract. Air pollutant emissions play a determinant role in deteriorating air quality. However, an uncertainty in emission inventories is still the key problem for modeling air pollution. In this study, an updated emission inventory of coal-fired power plants (UEIPP) based on online monitoring data in Jiangsu province of East China for the year of 2012 was implemented in the widely used Multi-resolution Emission Inventory for China (MEIC). By employing the Weather Research and Forecasting Model with Chemistry (WRF-Chem), two simulations were executed to assess the atmospheric environmental change by using the original MEIC emission inventory and the MEIC inventory with the UEIPP. A synthetic analysis shows that (1) compared to the power emissions of MEIC, PM2.5, PM10, SO2 and NOx were lower, and CO, black carbon (BC), organic carbon (OC) and NMVOCs were higher in the UEIPP, reflecting a large discrepancy in the power emissions over East China; (2) In accordance with the changes of UEIPP, the modeled concentrations were reduced for SO2 and NO2, and increased for most areas of primary OC, BC and CO, whose concentrations in atmosphere are highly dependent on emission changes. (3) Interestingly, when the UEIPP was used, the atmospheric oxidizing capacity significantly reinforced, reflecting by increased oxidizing agents, e.g. O3 and OH, thus directly strengthened the chemical production from SO2 and NOx to sulfate and nitrate, which offset the reduction of primary PM2.5 emissions especially in the haze days. This study indicated the importance of updating air pollutant emission inventories in simulating the complex atmospheric environment changes with the implications on air quality and environmental changes.

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