The effect of vegetation cover on dust concentration: Case study (Constantine, Algeria)

https://doi.org/10.22146/ijg.82364

Maya Benoumeldjadj(1*), Nedjoua Bouarroudj(2), Abdelouahab Bouchareb(3)

(1) AUTES research Laboratory, University of Constantine 3, Salah Boubnider Algeria. Larbi BenMhidi University Oum El Bouaghi, Algeria
(2) LAEEE research laboritory, University of Constantine 3, Salah Boubnider Algeria, Algeria.
(3) AUTES research Laboratory, University of Constantine 3, Salah Boubnider Algéria. professor
(*) Corresponding Author

Abstract


Even though urban greenery is crucial in maintaining a healthy and pollution-free environment, metropolitan areas are facing a significant threat from pollution, particularly dust particles. Therefore, this study used the advanced remote sensing techniques to explore the relationship between dust concentration and vegetation cover in Constantine, Algeria. As urban development continues to encroach upon green spaces, pollution, especially dust particles, has emerged as a pressing concern in metropolitan areas. This study used data from USGS and GLOvis for climate analysis, while Landsat images from GEE were employed for accurate mapping. Multiple years of comprehensive datasets were collected, including land cover maps, Aridity Index (AI), precipitation data, and Normalized Difference Vegetation Index (NDVI) maps, which underwent thorough analysis. NDVI and Dust Index (DI) were employed to evaluate the impact of vegetation on dust concentration. The result showed that the presence of vegetation directly affects dust levels, and DI exhibits variations over time in relation to the values of NDVI. This study highlights the critical significance of preserving and enhancing urban greenery to mitigate dust pollution and foster a healthier environment.

Keywords


vegetation cover; NDVI; Dust index (DI); Constantine city; Google Earth Engine (GEE)

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References

Aram, F., García, E. H., Solgi, E., & Mansournia, S. (2019). Urban green space cooling effect in cities. Heliyon, 5(4), e01339.

Benabou, A., Moukrim, S., Laaribya, S., Aafi, A., Chkhichekh, A., Maadidi, T. El, & Aboudi, A. El. (2022). Mapping Ecosystem Services of Forest Stands: Case Study of Maamora, Morocco. Geography, Environment, Sustainability, 15(1), 141‑149. https://doi.org/10.24057/2071-9388-2021-047

Didan, K. (2015). MOD13A1 MODIS/Terra Vegetation Indices 16-Day L3 Global 500m SIN Grid V006. NASA EOSDIS Land Processes DAAC, 10.

El-Hattab, M., Amany, S. M., & Lamia, G. E. (2018). Monitoring and assessment of urban heat islands over the Southern region of Cairo Governorate, Egypt. The Egyptian Journal of Remote Sensing and Space Science, 21(3), 311‑323. https://doi.org/10.1016/J.EJRS.2017.08.008

Gherraz, H. (2021). Option : Etablissements humains dans les villes arides et semi arides Intitulé L’impact de l’espace vert sur le microclimat urbain et l’utilisation des espaces extérieurs (Cas de la ville de Constantine). Université Biskra.

Haddad, K., & Vizakos, N. (2021). Air quality pollutants and their relationship with meteorological variables in four suburbs of Greater Sydney, Australia. Air Quality, Atmosphere & Health, 14(1), 55‑67.

Jabbar, & Yusoff, M. M. (2022). Assessing the Spatiotemporal Urban Green Cover Changes and Their Impact on Land Surface Temperature and Urban Heat Island in Lahore (Pakistan) Research Paper. Geography, Environment, Sustainability, 15(1), 122‑140. https://doi.org/10.24057/2071-9388-2021-005

Kamal, A., wu, C., & Lin, Z. (2019). Interannual variations of dust activity in western Iran and their possible mechanisms. Big Earth Data, 4, 1‑16. https://doi.org/10.1080/20964471.2019.1685825

Liang, L., Gao, T., Ren, H., Cao, R., Qin, Z., Hu, Y., … Mei, S. (2020). <? covid19?> Post-traumatic stress disorder and psychological distress in Chinese youths following the COVID-19 emergency. Journal of health psychology, 25(9), 1164‑1175.

Mishra, V. N., Rai, P. K., Kumar, P., & Prasad, R. (2016). Evaluation of land use/land cover classification accuracy using multi-resolution remote sensing images. Forum geografic, XV(1), 45‑53. https://doi.org/10.5775/fg.2016.137.i

Musy, M. (2014). Une ville verte: Les rôles du végétal en ville. (S.l.): Editions Quae.

Nakes, M. T., Legrand, M., Francois, P., & Mokhnache, A. (2007). Télédétection de l ’ aérosol désertique Indice de poussière IDDI, 1‑4.

Tariq, A., Shu, H., Siddiqui, S., Imran, M., & Farhan, M. (2021). Monitoring land use and land cover changes using geospatial techniques, a case study of Fateh Jang, Attock, Pakistan. Geography, Environment, Sustainability, 14(1), 41‑52. https://doi.org/10.24057/2071-9388-2020-117

usgs.gov. (2019). U.S. Geological Survey. 2019. Landsat 8-9 OLI-TIRS Collection 2 Level 2 Data Format Control Book.le.

Zhang, H., Wang, Y., Hu, J., Ying, Q., & Hu, X.-M. (2015). Relationships between meteorological parameters and criteria air pollutants in three megacities in China. Environmental Research, 140, 242‑254. https://doi.org/https://doi.org/10.1016/j.envres.2015.04.004



DOI: https://doi.org/10.22146/ijg.82364

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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

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