Comparison of development trends of Tehran and Isfahan cities and its effects on vegetation, climate and air pollution using GEE, Giovanni
محورهای موضوعی : Environment
Mahdieh Rezaeyan
1
(Department of Remote Sensing and GIS, Yazd Branch, Islamic Azad University, Yazd, Iran)
کلید واژه: runoff, NDVI, remote sensing, dew point, SRTM,
چکیده مقاله :
Background and objective: Population growth and industrialization of cities have led to the rapid growth of urbanization and development of cities. Today, the evaluation of urban physical development using modern remote sensing techniques can provide basic information to planners. The purpose of this study is to investigate the trend of urban development and its effects on changes in vegetation, temperature, rainfall, and air pollution in the two metropolises of Tehran and Isfahan.Materials and methods: In this study, two systems Google Earth Engine (GEE) and Giovanni have been used to analyze indicators such as temperature, vegetation, humidity, and precipitation. NDVI maps and diagrams of two cities in 5- and 10-year periods were produced from MODIS satellite (2000 to 2021) and Landsat 8 (2013 to 2021).Results and conclusion: Urban development and population growth in Tehran have led to an increase in heat islands (LST) and temperature in the region, which has a direct effect on the reduction of snow and rain and, as a result, the reduction of runoff, vegetation, and soil moisture. Due to the development of industrial towns and residential constructions around Isfahan, destructive environmental effects related to vegetation, weather, and pollution in Mashhad, and the increase in urbanization and industry have led to a decrease in the level of vegetation and NDVI in this area. This conclusion was obtained that the obtained results confirm that the development of the cities of Tehran and Isfahan has destructive environmental effects on the weather and vegetation in all directions.
Alberti, M., Marzluff, J. M., Shulenberger, E., Bradley, G., Ryan, C., & Zumbrunnen, C. (2003). Integrating humans into ecology: opportunities and challenges for studying urban ecosystems. BioScience, 53(12), 1169-1179. https://doi.org/10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
Andersson, E. (2006). Urban landscapes and sustainable cities. Ecology and society, 11(1). https://doi.org/10.5751/ES-01639-110134
Arnold Jr, C. L., & Gibbons, C. J. (1996). Impervious surface coverage: the emergence of a key environmental indicator. Journal of the American planning Association, 62(2), 243-258. https://doi.org/10.1080/01944369608975688
Battista, G., & de Lieto Vollaro, R. (2017). Correlation between air pollution and weather data in urban areas: Assessment of the city of Rome (Italy) as spatially and temporally independent regarding pollutants. Atmospheric Environment, 165, 240-247. https://doi.org/10.1016/j.atmosenv.2017.06.050
Bibri, S. E., Krogstie, J., & Kärrholm, M. (2020). Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainability. Developments in the built environment, 4, 100021. https://doi.org/10.1016/j.dibe.2020.100021
Bowles, G. (2002). Impervious surface-an environmental indicator. The Land Use Tracker, 2(1).
Cui, L., & Shi, J. (2012). Urbanization and its environmental effects in Shanghai, China. Urban Climate, 2, 1-15. https://doi.org/10.1016/j.uclim.2012.10.008
Cui, Y., Liu, J., Hu, Y., Wang, J., & Kuang, W. (2012). Modeling the radiation balance of different urban underlying surfaces. Chinese Science Bulletin, 57(9), 1046-1054. https://doi.org/10.1007/s11434-011-4933-x
Ghane Ezabadi, N., Azhdar, S., & Jamali, A. A. (2021). Analysis of dust changes using satellite images in Giovanni NASA and Sentinel in Google Earth Engine in western Iran. Journal of Nature and Spatial Sciences (JONASS), 1(1), 17-26. https://doi.org/10.30495/jonass.2021.680327
Ghorbani Kalkhajeh, R., & Jamali, A. A. (2019). Analysis and predicting the trend of land use/cover changes using neural network and systematic points statistical analysis (SPSA). Journal of the Indian Society of Remote Sensing, 47(9), 1471-1485. https://doi.org/10.1007/s12524-019-00995-7
Gui, X., Wang, L., Yao, R., Yu, D., & Li, C. A. (2019). Investigating the urbanization process and its impact on vegetation change and urban heat island in Wuhan, China. Environmental Science and Pollution Research, 26(30), 30808-30825. https://doi.org/10.1007/s11356-019-06273-w
He, S., Wang, D., Li, Y., Zhao, P., Lan, H., Chen, W., ... & Chen, X. (2021). Social-ecological system resilience of debris flow alluvial fans in the Awang basin, China. Journal of Environmental Management, 286, 112230. https://doi.org/10.1016/j.jenvman.2021.112230
Jamali, A. A., Tabatabaee, R., & Randhir, T. O. (2021). Ecotourism and socioeconomic strategies for Khansar River watershed of Iran. Environment, Development and Sustainability, 23(11), 17077-17093. https://doi.org/10.1007/s10668-021-01334-y
Jamali, A. A., Zarekia, S., & Randhir, T. O. (2018). Risk assessment of sand dune disaster in relation to geomorphic properties and vulnerability in the Saduq-Yazd Erg. Applied Ecology and Environmental Research, 16(1), 579-590. https://doi.org/10.15666/aeer/1601_579590
Kometa, S. S., & Akoh, N. R. (2012). The Hydro-geomorphological implications of urbanisation in Bamenda, Cameroon. Journal of Sustainable Development, 5(6), 64-73. https://doi.org/10.5539/jsd.v5n6p64
Lundholm, J. T., & Richardson, P. J. (2010). MINI‐REVIEW: Habitat analogues for reconciliation ecology in urban and industrial environments. Journal of Applied Ecology, 47(5), 966-975. https://doi.org/10.1111/j.1365-2664.2010.01857.x
Mittal, R., & Mittal, C. G. (2013). Impact of population explosion on environment. Weschool Knowledge builder-the national journal, 1(1), 2.
Rosenzweig, C., Solecki, W. D., Hammer, S. A., & Mehrotra, S. (Eds.). (2011). Climate change and cities: First assessment report of the urban climate change research network. Cambridge University Press. https://doi.org/10.1017/CBO9780511783142
Schneider, A., Friedl, M. A., & Potere, D. (2009). A new map of global urban extent from MODIS satellite data. Environmental research letters, 4(4), 044003. https://doi.org/10.1088/1748-9326/4/4/044003
Schueler, T. (1994). The importance of imperviousness. Watershed protection techniques, 1(3), 100-101.
Stow, D. A., & Chen, D. M. (2002). Sensitivity of multitemporal NOAA AVHRR data of an urbanizing region to land-use/land-cover changes and misregistration. Remote sensing of Environment, 80(2), 297-307. https://doi.org/10.1016/S0034-4257(01)00311-X
Thi Van, T. R. A. N., & Duong Xuan Bao, H. A. (2010). Study of the impact of urban development on surface temperature using remote sensing in Ho Chi Minh City, Southern Vietnam. Geographical Research, 48(1), 86-96. https://doi.org/10.1111/j.1745-5871.2009.00607.x
Voogt, J. A., & Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote sensing of environment, 86(3), 370-384. https://doi.org/10.1016/S0034-4257(03)00079-8
Yan, Z. W., Wang, J., Xia, J. J., & Feng, J. M. (2016). Review of recent studies of the climatic effects of urbanization in China. Advances in Climate Change Research, 7(3), 154-168. https://doi.org/10.1016/j.accre.2016.09.003
Zhao, S., Da, L., Tang, Z., Fang, H., Song, K., & Fang, J. (2006). Ecological consequences of rapid urban expansion: Shanghai, China. Frontiers in Ecology and the Environment, 4(7), 341-346. https://doi.org/10.1890/1540-9295(2006)004[0341:ECORUE]2.0.CO;2
