TOSHKENT SHAHRI ATMOSFERA HAVOSINING CHANG BILAN IFLOSLANISHI
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Shahar atmosfera havosining chang bilan ifloslanishi urbanizatsiya jarayonlarining jadallashuvi va antropogen faoliyatning
kuchayishi bilan bog‘liq eng dolzarb ekologik muammolardan biri hisoblanadi. Mazkur tadqiqotning maqsadi 2013-2023-yillar
davomida yoz faslida Toshkent shahri atmosfera havosidagi chang konsentratsiyasining fazoviy va vaqt bo‘yicha taqsimlanishini
tahlil qilishdan iborat. Tadqiqotda O‘zbekiston Respublikasi Ekologiya, atrof-muhitni muhofaza qilish va iqlim o‘zgarishi vazirligi
huzuridagi Gidrometeorologiya xizmati agentligining atmosfera havosi sifatini kuzatish bo‘yicha 12 ta monitoring stansiyasidan
olingan chang konsentratsiyasi ma’lumotlaridan foydalanildi. Chang konsentratsiyasining hududiy taqsimlanishini baholash uchun
geografik axborot tizimlari (GIS) texnologiyalari hamda Inverse Distance Weighting (IDW) interpolatsiya usuli qo‘llanildi.
1. Bollen, J., & Brink, C. (2014). Air pollution policy in Europe: Quantifying the interaction with greenhouse gases and climate
change policies. Energy Economics, 46, 202–215.
2. Cheng, F., Zheng, J., Wei, C., Mu, Q., Zheng, B., Wang, B., Gao, M., Zhang, Q., & He, B. (2016). Reactive nitrogen chemistry
in aerosol water as a source of sulfate during haze events in China. Science Advances, 2.
3. Dobesch, H., Dumolard, P., & Dyras, I. (2013). Spatial interpolation for climate data: The use of GIS in climatology and
meteorology (2nd ed.). Wiley. https://books.google.iq/books?isbn=1118614992
4. Han, S., Bian, H., Feng, Y., Liu, A., Li, X., Zeng, F., & Zhang, X. (2011). Analysis of the relationship between O₃, NO and
NO₂ in Tianjin, China. Aerosol and Air Quality Research, 11, 128–139.
5. Jung, M., Yuexiong, D., Vincent, G., Changqing, L., & Zhiwei, W. (2019). Spatiotemporal prediction of PM₂.₅ concentrations
at different time granularities using IDW-BLSTM. IEEE Access Journal, 7.
6. Khan, J., Kakosimos, K., Raaschou-Nielsen, O., Brandt, J., Jensen, S. S., Ellermann, T., et al. (2019). Development and
performance evaluation of new AirGIS–a GIS-based air pollution and human exposure modelling system. Atmospheric
Environment, 198, 102–121.
7. Lloyd, C. D. (2010). Local models for spatial analysis (2nd ed.). CRC Press.
8. Liang C.-S., Duan F.-K., He K.-B., Ma Y.-L. Review on Recent Progress in Observations, Source Identifications and
Countermeasures of PM2.5 // Environment International. – 2016. – Vol. 86. – P. 150–170.
https://doi.org/10.1016/j.envint.2015.10.016.
9. Liu H., Jin K., Duan Z. Air PM2.5 Concentration Multi-Step Forecasting Using a New Hybrid Modeling Method: Comparing
Cases for Four Cities in China // Atmospheric Pollution Research. – 2019. – Vol. 10, No. 5. – P. 1588–1600.
https://doi.org/10.1016/j.apr.2019.05.007.
10. Long M.S., Yantosca R., Nielsen J.E., Keller C.A., da Silva A., Sulprizio M.P., Pawson S., Jacob D.J. Development of a
Grid-Independent GEOS-Chem Chemical Transport Model (v9-02) as an Atmospheric Chemistry Module for Earth System
Models // Geoscientific Model Development. – 2015. – Vol. 8, No. 3. – P. 595–602. https://doi.org/10.5194/gmd-8-595-
2015.
11. Song J., Zhu M., Wei S., Peng P., Ren M. Abundance and 14C-Based Source Assessment of Carbonaceous Materials in
PM2.5 Aerosols in Guangzhou, South China // Atmospheric Environment. – 2018. – Vol. 175. – P. 228–235.
12. Tao J., Zhang L., Cao J., Zhang R. A Review of Current Knowledge Concerning PM2.5 Chemical Composition, Aerosol
Optical Properties and Their Relationships Across China // Atmospheric Chemistry and Physics. – 2017. – Vol. 17. – P.
9485–9518. https://doi.org/10.5194/acp-17-9485-2017.
13. Wu D., Zewdie G.K., Liu X., Kneen M.A., Lary D.J. Insights into the Morphology of the East Asia PM2.5 Annual Cycle
Provided by Machine Learning // Atmosphere. – 2020. – Vol. 11, No. 6. – P. 557. https://doi.org/10.3390/atmos11060557.
14. Zhao B., Liou K.-N., Gu Y., Li Q., Jiang J.H., Su H., He C., Tseng H.-L.R., Liu R., Qi L., Lee W.-L., Hao J. Enhanced PM2.5
Pollution in China Due to Aerosol–Cloud Interactions // Scientific Reports. – 2017. – Vol. 7. – Article 4453.
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