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Proceeding Paper

Comparison Analysis of the Effect of High and Low Port Activity Seasons on Air Quality in the Port of Heraklion †

by
Ioannis Logothetis
*,
Christina Antonopoulou
,
Konstantinos Sfetsioris
,
Adamantios Mitsotakis
and
Panagiotis Grammelis
Centre for Research and Technology Hellas, Chemical Process and Energy Resources Institute, GR 57001 Thermi, Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Presented at the 4th International Electronic Conference on Atmospheric Sciences, 16–31 July 2021; Available online https://ecas2021.sciforum.net/.
Environ. Sci. Proc. 2021, 8(1), 3; https://doi.org/10.3390/ecas2021-10329
Published: 22 June 2021
(This article belongs to the Proceedings of The 4th International Electronic Conference on Atmospheric Sciences)

Abstract

:
Emissions from port operation and shipping have a significant impact on climate risk, affecting the environment and human health in coastal regions (UNEP). The port of Heraklion, located on the island of Crete over the eastern Mediterranean, plays a key role in the sustainability of Southeast Europe. The impact on its operation affects the socio-economic life and development of the region because Heraklion is not just a tourist destination but also a significant trade and transportation center for the eastern Mediterranean. This study investigates the impact of port operation on the air quality of Heraklion between two representative periods. The first, which is considered as the high port activity season, was from 02 August 2018 to 08 August 2018, while the second period was between 11 May 2018 and 16 May 2018. For the air quality measurements, a low-cost sensor was used, while the recordings were initially compared and finally evaluated based on the available data of the monitoring station of the Ministry of Environment and Energy. To investigate the air quality differences between the two studied periods, the correlation analysis, the hourly evolution of pollutants, and the mean differences between high and low periods for gaseous pollutants and particulate matter are studied. Moreover, the effect of meteorology on air quality is investigated. The results indicate that the high season is characterized by significantly higher concentrations of pollutants compared to the other period. In both seasons studied, the air pollution level increases during hours of high port-activity, indicating the impact of port activity on air quality in Heraklion. The analysis shows that meteorology affects the air quality. In particular, strong wind speeds are associated with lower concentrations of gaseous pollutants other than ozone, which is affected by atmospheric circulation. Finally, the analysis emphasizes the importance of further investigation of the impact of port operations on coastal air quality in the context of sustainable development.

1. Introduction

The eastern Mediterranean is a crucial area for the economy and sustainable development, as it is located over the trade crossroads of three continents (Asia, Africa, and Europe). This region is one of the major marine routes of the world, with a rapidly growing trade activity due to globalization and socio-economic development [1]. Even if the activity of the port is a key feature of the region’s economic development, its impact on the environment and human health concerns the scientific community [2]. Increased shipping and port operation result in air quality degradation and also contribute to the increase of the coastal climate risk [3,4]. The Mediterranean region is recognized by the United Nations Environmental Program [1] as one of the most prominent and vulnerable climate change hot-spots [5,6,7] and a key area in terms of shipping, navigation, and human health consequences [8,9,10]. It is clear that port emissions are a small fraction of global shipping, but they have an important impact on human health [3,11], as global shipping emission mortality for 2020 was estimated at 250,000 per year [12].
Emissions from navigation, ships at berth, and port operation are a significant component of pollution including gases (NOx, SOx, CO, O3), particulate matter (PM), and GHGs [13]. Besides emissions, air quality is affected by weather [14], while additionally the concentration of pollutants is sensitive to climate and meteorological parameters [15,16]. The emissions from port operation and shipping are projected to increase in the future. In particular, economic development is projected to increase the level of CO2 by between 50% to 250% by 2050 [17] if mitigation measures are not taken by policy makers. Generally, the emissions from transport have decreased since 1900 except for shipping, where PM, SO2, and NOx emissions have increased [8,18], representing about 10% of GHG emissions by 2050 [17]. Previous studies have investigated the impact of port operation and shipping on urban coastal areas [19,20]. The impact of shipping on air quality in Adriatic and Ionian ports has already been studied using numerical models, measurements, and air emission estimations [21]. This analysis shows that maritime emissions contribute to the SO2 concentration more significantly than road traffic. However, shipping contributes to the concentrations of PM and NOx at the same level as the road traffic. Furthermore, the meteorological conditions affect the concentration of pollutants and modulate the plume behavior, affecting the dispersion of pollution [22]. In total, 10% to 30% of PM2.5 in large coastal Mediterranean cities comes from shipping [23]. Additionally, the air quality of Istanbul and Athens is affected significantly by shipping [24]. During the period from 2013 to 2016, the port activity of Civitavecchia in Italy contributed significantly to the concentrations of NO2 (33%), PM10 (43%), and SO2 (60%), affecting the local air quality [8].
Heraklion is one of the most important Greek ports, and its economic activity is a significant factor for the socio-economic and sustainable development of the eastern Mediterranean. It attracts thousands of tourists annually, and it is also a significant partner for the transit, transportation, and trade network of the eastern Mediterranean [25]. There are no previous studies that investigate the impact of shipping and port activity on the ports of the south Aegean Sea. This study investigates the impact of port operation and ship emissions in order to characterize air quality, based on air measurement campaigns conducted in the Heraklion port that compared high and low port activity seasons during 2018. Moreover, the effect of meteorological conditions on the air quality is investigated for the two studied periods.

2. Methods and Data

The city of Heraklion (25°8′53.7144′′ E, 35°20′30.6456′′ N) is located on the north–central coast of Crete island, and it is one of the most important shipping ports and ferry docks of the eastern Mediterranean (Figure 1a). Heraklion is the capital of Crete and the fourth largest city in Greece (the urban area population is about 210,000). Moreover, it is one of the most popular tourist destinations during the summer months and an important trade hub for the eastern Mediterranean. The present analysis employs recordings from a low-cost sensor (LCS) operated at the port of Heraklion. The LCS recordings include gases (NOx; ppb, NO; ppb, NO2; ppb, O3; ppb, CO; ppm, SO2; ppb), particle matters (PM1, PM2.5, PM4, PM10, PM_tot; μg/m3) and meteorological parameters (wind speed—WS; m/s, wind direction—WDir; °, temperature—T; °C, pressure—P; hPa and relative humidity; RH—%). Some of the basic characteristics of the LCS used for the analysis are shown in Table 1. To investigate the impact of port operation and shipping emissions in the Heraklion port, two representative periods of 2018 are studied. In particular, the first period, with high port and shipping activity, is considered as the period from 02 August 2018 to 08 August 2018, and the second, the low port and shipping activity period, is considered the period from 11 May 2018 to 16 May 2018. In order to evaluate the variability of the LCS recordings, the regression between the LCS anomalies and the corresponding available recordings anomalies (PM10) from the monitoring station of the Ministry of Environment and Energy (MEEN; Figure 2) is calculated. The Spearman correlation is performed in order to study the relation between the meteorological variables and the concentration of pollutants [26]. Finally, the hourly evolution of pollutant concentrations and the meteorological parameters are studied to understand the impact of port operation and shipping on the air quality of Heraklion port more thoroughly. For the analysis, the hours with strong (weak) wind speed are considered the hours with a wind speed higher (lower) than 90% (10%) of the wind speed distribution for the studied period (high or low port activity period, respectively). The statistical significance is studied with a two-tailed t-test (with significance levels of 95%).

3. Results

In order to evaluate the variability of recordings from the LCS, the regression coefficients of the anomalies of the available recordings (PM10) from the monitoring station of the Ministry of Environment and Energy (MEEN) regarding the anomalies of the PM10 recordings of the LCS are calculated. The LCS is located in a representative position for the air quality of the port of Heraklion (according to the indication of the Heraklion Port Authority S.A. to ensure the representative sampling of recordings). The official monitoring station (MEEN) is located southwest of the LCS location (Figure 1b). During the high port activity season, the dominant sector for the wind speed is in the direction from WNW to NW (~300°), and during the low port activity season, the wind speed blows from SSW (~200°; with high variability). The dominant pattern of the wind speed and direction during the high season possibly reduces the impact of the port activity on the central west area of Heraklion. To compare the PM10 recordings between the LCS and the MEEN station, the recordings during the hours with high port activity are excluded from the regression analysis (Figure 2; please note that the red points denote recordings during high port activity hours). This analysis, for the high season, shows a regression coefficient equal to 0.93 (R = 0.69, SE 0.1 and p-value < 0.05; Figure 2) between the LCS and MEEN station recordings. For the low port activity season, the regression coefficient of PM10 anomalies of MEEN recordings of the PM10 anomalies of the LCS is about 2.0 (R = 0.77, SE 0.15 and p-value < 0.05). The wind direction (as recorded by the LCS in the port) prevails mainly from the SSW direction. This may reduce the impact of port activity on the air quality, acting as a “ventilation system” for the central and western urban area of Heraklion during the low port activity season. The analysis shows that port operation and shipping affect the air quality of Heraklion. The impact of port operations during the high port activity season more significantly affects the air quality of Heraklion compared to the low port activity season.
The correlation coefficients between air quality (gases and PM) and meteorological parameters for both high (left panel) and low (right panel) port activity seasons are shown in Figure 3. This analysis shows that wind speed (WS) is associated with the reduction of gaseous pollutants except for ozone (O3). The concentration of O3 and the wind speed show a positive correlation, possibly due to the impact of summer low tropospheric circulation [27,28,29]. The highest positive correlation coefficient during the high port activity season (compared to the low port activity one) is related to the dominant characteristics of atmospheric circulation during the summer period [27]. Moreover, during high season, the wind speed is not correlated with PM (excluding PM1). This is explained by the dominant mode of lower summer atmospheric circulation, the northerly winds over the eastern Mediterranean (the Etesians regime) [27,28,30], which contribute to the transfer of PM [31]. In particular, the weaker wind speed during the low port activity season (compared to the high port activity season) and the features of low troposphere circulation over the eastern Mediterranean illustrate the negative relation between wind speed and PM in the port. The positive correlation between gaseous pollutants and PM results from the chemical processes (photochemical reactions and photolysis during daytime hours) [32] and the impact of port activity (operation and shipping) on local air quality.
The ratio of PM2.5/PM10 is usually associated with the relevant sources. A higher ratio shows a larger contribution of PM2.5, primarily indicating pollution from anthropogenic activities [33]. During the high port activity season, the ratio is equal to 0.6 (with a standard deviation of 0.07), and during the low season, it is equal to 0.54 (with a standard deviation of 0.08). Moreover, the hours with a stronger wind speed compared to the hours with a weaker wind speed show a lower PM2.5/PM10 ratio (approximately 0.09). Please note that, for the high port activity season, the hours with a stronger wind speed are considered to be the hours with a wind speed greater than 90% of the wind speed distribution of the high season, and the hours with a weak wind speed are considered to be the hours with a wind speed less than 10% of the wind speed distribution of the high season, respectively. During the high season, the negative difference between PM2.5/PM10 ratios for the hours with high port activity and the hours with low port activity suggests that strong wind speed is associated with lower pollution from port activities.
To study the impact of port operation and shipping on the air quality of Heraklion port, the hourly evolution of the concentration of pollutants and meteorology parameters during high and low port activity seasons (Figure 4) is calculated. During the high port activity season, the winds prevail from a NWW (~300°) direction with low variability (Figure 4a), and the wind speed is stronger about 1.34 m/s compared to the low season (Figure 4b). The temperature (Figure 4c) shows less variability during the high season compared to the low season. The hourly variation of the concentration of PM and gases (excluding O3) shows two peaks: one at around 6:00–12:00 LT and the other at around 20:00–23:00 LT. These are the two time periods during the day with the maximum port operation and shipping traffic. The hourly ozone concentration follows the hourly solar activity, and it is affected by the photochemical and photolysis reactions [32]. In particular, the correlation between O3 and NO2 is −0.81 and −0.8 during the high and the low season (Figure 3), respectively. During the high port activity season, the concentration of pollutants shows statistically significant higher values compared to the low season. The PMs show an increase of about 4.5 mg/m3 between the two studied seasons. Additionally, the difference between the concentrations for NO, NO2 and SO2 is higher by about 14 ppb, 8 ppb, and 5 ppb, respectively. The only exception is CO, which shows a slight increase. In summary, the analysis of the hourly evolution clearly shows the effect of the port activity on the local air quality. Additionally, wind speed (WS) and wind direction (WDir) have a significant effect on air quality by reducing the concentration of pollutants in the port.

4. Conclusions

This study investigates the impact of port operation and shipping on the air quality of the port city of Heraklion. For the analysis, the comparison of a high and a low port activity season during 2018 is conducted. The results show that port activity and shipping are associated with the degradation of the local air quality for both studied seasons. The impact of port activity is more significant during the high season compared to the low season. In particular, the gases and PM increase, whereas the ozone presents insignificant changes due to the impact of low tropospheric circulation over the eastern Mediterranean. The wind speed is significantly anti-correlated with gaseous pollutants. Wind speed and wind direction are fundamental meteorological components that affect the concentration of pollutants in Heraklion port. Moreover, the PM2.5/PM10 ratio increases during the high port activity season compared to the low season, indicating the impact of port operation and shipping on the local air quality. Finally, the analysis highlights the impact of port operations and shipping activities on coastal air quality in the context of the Paris agreement [34], coastal climate risk, and sustainable development.

Funding

This research was funded by the Connecting Europe Facility of the European Union, grant number 2014-EU-TM-0673-S. The APC was funded by Poseidon Med II Action No.2014-EU-TM-0673-S.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Publicly available datasets were analyzed in this study. This data can be found here: https://ypen.gov.gr/ (accessed on 3 April 2021).

Acknowledgments

The study received support from the POSEIDON MEDII project, which is co-financed by the Connecting Europe Facility (CEF) Transport Sector of the European Union. The authors would like to thank DEPA Commercial S.A (project coordinator) and DESFA S.A. (project technical coordination). The authors acknowledge the Ministry of Environment and Energy (MEEN) for the available recordings of the Heraklion monitoring station (https://ypen.gov.gr/ (accessed on 3 April 2021). We wish to thank Heraklion Port Authority S.A. and personnel for providing information regarding the port activity to guarantee the representative sampling of recordings for the analysis. We would also like to thank Envirosys Ltd. Environmental Applications Technological Equipment, Athens, Greece, for the collaboration and the availability of the Horiba Ltd. Sensors.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. United Nations Environment Programme Mediterranean Action Plan. Report of the 19th Ordinary Meeting of the Contracting Parties to the Convection for the Protection of the Marine Environment and the Coastal Region of the Mediterranean and Its Protocols. In Proceedings of the 19th Ordinary Meeting of the Contracting Parties to the Convention for the Protection of the Marine Environment and the Coastal Region of the Mediterranean and its Protocols, Athens, Greece, 9–12 February 2016. [Google Scholar]
  2. Prussi, M.; Scarlat, N.; Acciaro, M.; Kosmas, V. Potential and limiting factors in the use of alternative fuels in the European maritime sector. J. Clean. Prod. 2021, 291, 125849. [Google Scholar] [CrossRef]
  3. Corbett, J.J.; Wang, C.; Winebrake, J.J.; Green, E. Allocation and Forecasting of Global Ship Emissions; Clean Air Task Force and Friends of the Earth International: Boston, MA, USA, 2007. [Google Scholar]
  4. Wang, T.; Qu, Z.; Yang, Z.; Nichol, T.; Dimitriu, D.; Clarke, G.; Bowden, D. How can the UK road system be adapted to the impacts posed by climate change? By creating a climate adaptation framework Transp. Res. Part D Transp. Environ. 2019, 77, 403–424. [Google Scholar] [CrossRef]
  5. Giorgi, F. Climate change hot-spots. Geophys. Res. Lett. 2006, 33, L08707. [Google Scholar] [CrossRef]
  6. Plan Bleu. Etat de l’environnement et du developpement en Mediterranee—2009; Plan Bleu: Athens, Greece, 2019. [Google Scholar]
  7. Lionello, P.; Gacic, M.; Gomis, D.; Herrera, R.C.; Giorgi, F.; Planton, S.; Trigo, R.; Theocharis, A.; Michael, N.; Ulbrich, T.U.; et al. Program focuses on climate of the Mediterranean region. Eos 2012, 93, 105–106. [Google Scholar] [CrossRef]
  8. Gobbi, G.P.; Liberto, L.; Barnaba, F. Impact of port emissions on EU-regulated and non-regulated air quality indicators: The case of Civitavecchia (Italy). Sci. Total Environ. 2020, 719, 134984. [Google Scholar] [CrossRef]
  9. United Nations Conference on Trade and Development. Review of Maritime Transport; UNCTAD/RMT/2012; United Nations: New York, NY, USA, 2012; ISBN 978-92-1-112860-4. [Google Scholar]
  10. Eyring, V.; Isaksen, I.S.A.; Berntsen, T.; Collins, W.J.; Corbett, J.J.; Endresen, O.; Grainger, R.G.; Moldanova, J.; Schlager, H.; Stevenson, D.S. Transport impacts on atmosphere and climate: Shipping Atmos. Environment 2010, 44, 4735–4771. [Google Scholar] [CrossRef]
  11. Viana, M.; Fann, N.; Tobías, A.; Querol, X.; Rojas-Rueda, D.; Plaza, A.; Aynos, G.; Conde, J.A.; Fernández, L.; Fernández, C. Environmental and health benefits from designating the Marmara Sea and the Turkish Straits as an emission control area (ECA). Environ Sci Technol. 2015, 49, 3304–3313. [Google Scholar] [CrossRef]
  12. Sofiev, M.; Winebrake, J.J.; Johansson, L.; Carr, E.W.; Prank, M.; Soares, J.; Vira, J.; Kouznetsov, R.; Jalkanen, J.-P.; Corbett, J.J. Cleaner fuels for ships provide public health benefits with climate tradeoffs. Nat. Commun. 2018, 9, 406. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Progiou, A.G.; Ziomas, I.C. Road traffic emissions impact on air quality of the Greater Athens Area based on a 20year emissions inventory. Sci. Total Environ. 2011, 410–411, 1–7. [Google Scholar] [CrossRef]
  14. Kalisa, E.; Fadlallah, S.; Amani, M.; Nahayo, L.; Habiyaremye, G. Temperature and air pollution relationship during heatwaves in Birmingham, UK. Sustain. Cities Soc. 2018, 43, 111–120. [Google Scholar] [CrossRef] [Green Version]
  15. Westervelt, D.M.; Horowitz, L.W.; Naik, V.; Tai, A.P.K.; Fiore, A.M.; Mauzerall, D.L. Quantifying PM2.5-meteorology sensitivities in a global climate model. Atmos. Environ. 2016, 142, 43–56. [Google Scholar] [CrossRef]
  16. Chen, Z.; Zhuang, Y.; Xie, X.; Chen, D.; Cheng, N.; Yang, L.; Li, R. Understanding long-term variations of meteorological influences on ground ozone concentrations inBeijing During 2006–2016. Environ. Pollut. 2018, 245, 29–37. [Google Scholar] [CrossRef] [PubMed]
  17. Third IMO Greenhouse Gas Study 2014, Safe, Secure and Efficient Shipping on Clean Oceans, Executive Summary and Final, Report Published in 2015 by the International Maritime Organization 4 Albert Embankment, London SE1 7SR. Available online: www.imo.org (accessed on 2 May 2021).
  18. EEA, 2017b, ‘Emissions of Air Pollutants from Transport’, TERM Indicator 003, European Environment Agency. Available online: https://www.eea.europa.eu/data-and-maps/indicators/transport-emissions-of-air-pollutants-8/transport-emissions-of-air-pollutants-4 (accessed on 29 April 2021).
  19. Tzannatos, E. Ship emissions and their externalities for the port of Piraeus—Greece. Atmos. Environ. 2010, 44, 400–407. [Google Scholar] [CrossRef]
  20. Viana, M.; Hammingh, P.; Colette, A.; Querol, X.; Degraeuwe, B.; de Vlieger, A.; van Aardenne, J. Impact of maritime transport emissions on coastal air quality in Europe. Atmos. Environ. 2014, 90, 96–105. [Google Scholar] [CrossRef]
  21. Merico, E.; Gambaro, A.; Argiriou, A.; Alebic-Juretic, A.; Barbaro, E.; Cesari, D.; Chasapidis, L.; Dimopoulos, S.; Dinoi, A.; Donateo, A.; et al. Atmospheric impact of ship traffic in four Adriatic-Ionian port-cities: Comparison and harmonization of different approaches. Transp. Res. Part D Transp. Environ. 2017, 50, 431–445. [Google Scholar] [CrossRef]
  22. Merico, E.; Donateo, A.; Gambaro, A.; Cesari, D.; Gregoris, E.; Barbaro, E.; Dinoi, A.; Giovanelli, G.; Masieri, S.; Contini, D. Influence of in-port ships emissions to gaseous atmospheric pollutants and to particulate matter of different sizes in a Mediterranean harbour in Italy. Atmos. Environ. 2016, 139, 1–10. [Google Scholar] [CrossRef]
  23. Thunis, P.; Degraeuwe, B.; Pisoni, E.; Trombetti, M.; Peduzzi, E.; Belis, C.A.; Wilson, J.; Clappier, A.; Vignati, E. PM2.5 source allocation in European cities: A SHERPA modelling study. Atmos. Environ. 2018, 187, 93–106. [Google Scholar] [CrossRef]
  24. Kanakidou, M.; Mihalopoulos, N.; Kindap, T.; Im, U.; Vrekoussis, M.; Gerasopoulos, E.; Dermitzaki, E.; Unal, A.; Koçak, M.; Markakis, K.; et al. Megacities as hot spots of air pollution in the East Mediterranean. Atmos. Environ. 2011, 45, 1223–1235. [Google Scholar] [CrossRef]
  25. Apostolakis, A.; Dimou, I.; Kourgiantakis, M.; Viskadouraki, I. The Impact of Cultural Resources on Tourists’ Decision to Visit a Destination. The Case of Heraklion, Crete. In Cultural Management from Theory to Practice; London Scientific: St Thomas, ON, Canada, 2018; ISBN 978-0-9954618-7-1. [Google Scholar]
  26. Jiang, Y.; Chen, J.; Wu, C.; Xin, L.; Zhou, Q.; Ji, S.; Yang, S.; Zhang, X.; Liu, B. Temporal cross-correlations between air pollutants and outpatient visits for respiratory and circulatory system diseases in Fuzhou, China. BMC Public Health 2020, 20, 1131. [Google Scholar] [CrossRef] [PubMed]
  27. Solomou, E.; Poupkou, A.; Bolis, S.; Zanis, P.; Lazaridis, M.; Melas, M. Evaluating near-surface ozone levels simulated from MACC global and regional modelling systems in Eastern Mediterranean under the influence of Etesian winds. Atmos. Res. 2017, 208, 191–200. [Google Scholar] [CrossRef]
  28. Logothetis, I.; Tourpali, K.; Misios, S.; Zanis, P. Etesians and the summer circulation over East Mediterranean in Coupled Model Intercomparison Project Phase 5 simulations: Connections to the Indian summer monsoon. Int. J. Climatol. 2019, 40, 1118–1131. [Google Scholar] [CrossRef]
  29. Dafka, S.; Akritidis, D.; Zanis, P.; Pozzer, A.; Xoplaki, E.; Luterbacher, J.; Zerefos, C. On the link between the Etesian winds, tropopause folds and troposphericozone over the Eastern Mediterranean during summer. Atmos. Res. 2021, 248, 105161. [Google Scholar] [CrossRef]
  30. Tyrlis, E.; Lelieveld, J. Climatology and dynamics of the summer Etesian windsover the EM. J. Atmos. Sci. 2013, 70, 3374–3396. [Google Scholar] [CrossRef]
  31. Lazaridis, M.; Dzumbova, L.; Kopanakis, I.; Ondracek, J.; Glytsos, T.; Aleksandropoulou, V.; Voulgarakis, A.; Katsivela, E.; Mihalopoulos, N.; Eleftheriadis, K. PM10 and PM2.5 levels in the Eastern Mediterranean (Akrotiri Research Station, Crete, Greece). Water Air Soil Pollut. 2008, 189, 85–101. [Google Scholar] [CrossRef]
  32. Han, S.; Bian, H.; Feng, Y.; Liu, A.; Li, X.; Zeng, F.; Zhang, X. Analysis of the Relationship between O3, NO and NO2 in Tianjin, China. Aerosol Air Qual. Res. 2011, 11, 128–139. [Google Scholar] [CrossRef] [Green Version]
  33. Zhao, C.; Li, Y.N.; Zhang, F.; Sun, Y.L.; Wang, P.C. Growth rates of fine aerosol particles at a site near Beijing in June 2013. Adv. Atmos. Sci. 2018, 35, 209–217. [Google Scholar] [CrossRef]
  34. United Nations Climate Change Annual Report; United Nations: San Francisco, CA, USA, 2019; ISBN 978-92-9219-190-0.
Figure 1. (a) Location of Heraklion on Crete Island in the eastern Mediterranean (topography map). (b) Location of monitoring station of MEEN (red star; A) and LCS (blue star; B).
Figure 1. (a) Location of Heraklion on Crete Island in the eastern Mediterranean (topography map). (b) Location of monitoring station of MEEN (red star; A) and LCS (blue star; B).
Environsciproc 08 00003 g001
Figure 2. Scatter plot and linear regression of PM10 anomalies of the monitoring station of MEEN (PM10) recordings of LCS PM10 anomalies during the high port activity season. Red points indicate the recordings that are excluded from the regression analysis during the hours with high shipping.
Figure 2. Scatter plot and linear regression of PM10 anomalies of the monitoring station of MEEN (PM10) recordings of LCS PM10 anomalies during the high port activity season. Red points indicate the recordings that are excluded from the regression analysis during the hours with high shipping.
Environsciproc 08 00003 g002
Figure 3. Correlation coefficients for air quality (pollutants) and meteorological parameters (a) for high port activity and (b) for low port activity seasons.
Figure 3. Correlation coefficients for air quality (pollutants) and meteorological parameters (a) for high port activity and (b) for low port activity seasons.
Environsciproc 08 00003 g003
Figure 4. Hourly evolution of meteorology (ae) and air quality parameters (fp). The red/blue lines indicate the high/low port activity seasons. The shaded area indicates the range between lower and higher hourly variability during the two studied seasons (red for the high and blue for the low port activity season, respectively).
Figure 4. Hourly evolution of meteorology (ae) and air quality parameters (fp). The red/blue lines indicate the high/low port activity seasons. The shaded area indicates the range between lower and higher hourly variability during the two studied seasons (red for the high and blue for the low port activity season, respectively).
Environsciproc 08 00003 g004
Table 1. Τhe low-cost sensors (LCS) used for the analysis and the corresponding certificates.
Table 1. Τhe low-cost sensors (LCS) used for the analysis and the corresponding certificates.
SensorCertifications
PM10 and PM2.5
(HORIBA APDA-372
Certificate QAL 1 (TUV Rheinland Energie und Umwelt GmbH) VDI 4202-1 (2002), VDI 4203-3 (2004), EN14211 (2012), EN 15267-1 (2009), EN 15267-2 (2009)
CO
(HORIBA APMA 370)
Certificate QAL 1 (TUV Rheinland Energie und Umwelt GmbH) VDI 4202-1 (2002), VDI 4203-3 (2004), EN14211 (2012), EN 15267-1 (2009), EN 15267-2 (2009)
O3
(HORIBA APOA 370)
Certificate QAL 1 (TUV Rheinland Energie und Umwelt GmbH) VDI 4202-1 (2002), VDI 4203-3 (2004), EN14211 (2012), EN 15267-1 (2009), EN 15267-2 (2009)
SO2
(HORIBA APSA 370)
Certificate QAL 1 (TUV Rheinland Energie und Umwelt GmbH) VDI 4202-1 (2002), VDI 4203-3 (2004), EN14211 (2012), EN 15267-1 (2009), EN 15267-2 (2009)
ΝOx
(HORIBA APNA 370)
Certificate QAL 1 (TUV Rheinland Energie und Umwelt GmbH) VDI 4202-1 (2002), VDI 4203-3 (2004), EN14211 (2012), EN 15267-1 (2009), EN 15267-2 (2009)
Meteorological
parameters
Theodor Friedrichs
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Logothetis, I.; Antonopoulou, C.; Sfetsioris, K.; Mitsotakis, A.; Grammelis, P. Comparison Analysis of the Effect of High and Low Port Activity Seasons on Air Quality in the Port of Heraklion. Environ. Sci. Proc. 2021, 8, 3. https://doi.org/10.3390/ecas2021-10329

AMA Style

Logothetis I, Antonopoulou C, Sfetsioris K, Mitsotakis A, Grammelis P. Comparison Analysis of the Effect of High and Low Port Activity Seasons on Air Quality in the Port of Heraklion. Environmental Sciences Proceedings. 2021; 8(1):3. https://doi.org/10.3390/ecas2021-10329

Chicago/Turabian Style

Logothetis, Ioannis, Christina Antonopoulou, Konstantinos Sfetsioris, Adamantios Mitsotakis, and Panagiotis Grammelis. 2021. "Comparison Analysis of the Effect of High and Low Port Activity Seasons on Air Quality in the Port of Heraklion" Environmental Sciences Proceedings 8, no. 1: 3. https://doi.org/10.3390/ecas2021-10329

APA Style

Logothetis, I., Antonopoulou, C., Sfetsioris, K., Mitsotakis, A., & Grammelis, P. (2021). Comparison Analysis of the Effect of High and Low Port Activity Seasons on Air Quality in the Port of Heraklion. Environmental Sciences Proceedings, 8(1), 3. https://doi.org/10.3390/ecas2021-10329

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