مجله پژوهش‌های فرسایش محیطی

1. Alipour, N., Mesbahzadeh, T., Ahmadi, H., Malekian, A. and Jafari, M. (2018). Synoptic analysis of dust events and its relation with drought in Alborz and Qazvin provinces. Geography (Regional Planning), 8(30), 59-68

2. Bagherabadi, R., & Moeinaddini, M. (2021). Dust storms directional source identification of Karaj. Journal of Climate Research, 1400(47), 141-155. https://clima.irimo.ir/article_142697_75e0e78a71f793b7ce0655a250183c5b.pdf

3. Bagherpour, M., Tabatabaie, F., Zare, S., Nazari Samani, A. A., & Ghoohestani, G. (2023). Evaluating the changes in the water body of Salehiyeh Wetland caused by the construction of drainage. Journal of Arid Biome, 13(2), 107-123.https://aridbiom.yazd.ac.ir/article_3316.html?lang=en#:~:text=10.29252/ARIDBIOM.2024.20315.1942

4. Banerjee, T., Kumar, M., & Singh, N. (2018). Aerosol, climate, and sustainability. http://dx.doi.org/10.1016/B978-0-12-809665-9.09914-6 [DOI:10.1016/B978-0-12-809665-9.09914-6]

5. Cochrane, M. A. (2003). Fire science for rainforests. Nature, 421(6926), 913-919.http://dx.doi.org/10.1038/nature01437 [DOI:10.1038/nature01437]

6. Eskandari Damaneh, H. , Gholami, H. , Mahdavi, R. , Khoorani, A. and Li, J. (2021,a). Assessing the land degradation using water use efficiency (WUE) and drought indices (case study: Fars province). Journal of Range and Watershed Managment, 74(1), 103-120. [DOI:10.22059/jrwm.2021.314310.1550]

7. Eskandari damaneh, H. and Ghasemi Aryan, Y. (2024). Investigating the trend and explaining the key drivers of desertification and land degradation in Salehiyeh wetland and Qazvin salt plain. Integrated Watershed Management, (), -. doi: 10.22034/iwm.2024.2026209.1146https://iwm.ilam.ac.ir/article_714316.html?lang=en#:~:text=10.22034/IWM.2024.2026209.1146

8. Eskandari Damaneh, h., Eskandari Damaneh, H., Sayadi, Z., & Khoorani, A. (2021, b). Evaluation of spatiotemporal changes and correclations of aerosol optical depth, NDVI and climatic data over Iran. Iranian Journal of Range and Desert Research, 28(4), 772-786. [DOI:10.22092/ijrdr.2021.125252]

9. Ghasemi Aryan, Y. , Eskandari Damaneh, H. , Haghani, G. , Mohammadi Roudbari, M. , Jafarian, V. , Eskandari Damaneh, H. , Hajibaglou, A. and Ziaee, N. (2024). Investigating the trend and determining the characteristics of critical wind and dust erosion hotspots in Sarakhs County. Journal of Arid Biome, 14(2), 61-74. https://doi: 10.29252/aridbiom.2025.22155.2028

10. Guo, B., Wang, Z., Pei, L., Zhu, X., Chen, Q., Wu, H., Zhang, W., & Zhang, D. (2023). Reconstructing MODIS aerosol optical depth and exploring dynamic and influential factors of AOD via random forest at the global scale. Atmospheric Environment, 315, 120159. https://doi.org/10.1016/j.atmosenv.2023.120159 [DOI:https://doi.org/10.1016/j.atmosenv.2023.120159]

11. Khomenko, S., Cirach, M., Pereira-Barboza, E., Mueller, N., Barrera-Gómez, J., Rojas-Rueda, D., de Hoogh, K., Hoek, G., & Nieuwenhuijsen, M. (2021). Premature mortality due to air pollution in European cities: a health impact assessment. The Lancet Planetary Health, 5(3), e121-e134. [DOI:10.1016/S2542-5196(20)30272-2]

12. Kumar, M., Singh, R., & Banerjee, T. (2015). Associating airborne particulates and human health: Exploring possibilities: Comment on: Kim, Ki-Hyun, Kabir, E. and Kabir, S. 2015. A review on the human health impact of airborne particulate matter. Environment International 74 (2015) 136-143. Environment International, 84, 201-202. https://ui.adsabs.harvard.edu/link_gateway/2015EnInt..84..201K/doi:10.1016/j.envint.2015.06.002 [DOI:10.1016/j.envint.2015.06.002]

13. Lelieveld, J., Pozzer, A., Pöschl, U., Fnais, M., Haines, A., & Münzel, T. (2020). Loss of life expectancy from air pollution compared to other risk factors: a worldwide perspective. Cardiovascular research, 116(11), 1910-1917. [DOI:10.1093/cvr/cvaa025]

14. Levy, R. C., Remer, L. A., Mattoo, S., Vermote, E. F., & Kaufman, Y. J. (2007). Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance. Journal of Geophysical Research: Atmospheres, 112(D13). [DOI:10.1029/2006JD007811]

15. Liu, J., Ding, J., Li, X., Zhang, J., & Liu, B. (2023). Identification of dust aerosols, their sources, and the effect of soil moisture in Central Asia. Science of The Total Environment, 868, 161575. https://doi.org/10.1016/j.scitotenv.2023.161575 [DOI:https://doi.org/10.1016/j.scitotenv.2023.161575]

16. Liu, J., Ding, J., Li, X., Zhang, J., & Liu, B. (2023). Identification of dust aerosols, their sources, and the effect of soil moisture in Central Asia. Science of The Total Environment, 868, 161575. https://doi.org/10.1016/j.scitotenv.2023.161575 [DOI:https://doi.org/10.1016/j.scitotenv.2023.161575]

17. Mehta, M., Jain, A., & Chauhan, P. (2022). Aerosol optical depth retrieval over land from OCEANSAT-2/ OCM- 2 data - A simple physics based approach. Atmospheric Pollution Research, 13(3), 101339. https://doi.org/10.1016/j.apr.2022.101339 [DOI:https://doi.org/10.1016/j.apr.2022.101339]

18. Pu, Q., & Yoo, E.-H. (2022). A gap-filling hybrid approach for hourly PM2.5 prediction at high spatial resolution from multi-sourced AOD data. Environmental Pollution, 315, 120419. https://doi.org/10.1016/j.envpol.2022.120419 [DOI:https://doi.org/10.1016/j.envpol.2022.120419]

19. Qin, W., Liu, Y., Wang, L., Lin, A., Xia, X., Che, H., Bilal, M., & Zhang, M. (2018). Characteristic and driving factors of aerosol optical depth over mainland China during 1980-2017. Remote Sensing, 10(7), 1064. [DOI:10.3390/rs10071064]

20. Rami, A., Hamidi, M., & Navayi Neya, B. (2022). Atmospheric Analysis of Dust Storms in Central Asia Region using remote sensing. Journal of Civil and Environmental Engineering, -. https://doi.org/10.1016/j.jastp.2021.105800 [DOI:10.22034/jcee.2022.47077.2054]

21. Remer, L. A., Kaufman, Y., Tanré, D., Mattoo, S., Chu, D., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R., & Kleidman, R. (2005). The MODIS aerosol algorithm, products, and validation. Journal of the atmospheric sciences, 62(4), 947-973. [DOI:10.1175/JAS3385.1]

22. Rubin, J., & Collins, W. (2014). Global simulations of aerosol amount and size using MODIS observations assimilated with an Ensemble Kalman Filter. Journal of Geophysical Research: Atmospheres, 119(22), 12,780-712,806. [DOI:10.1002/2014JD021627]

23. Sheikhghaderi, S. H., Alizadeh, T., & Rezaei Banafsheh, M. (2022). Dust Storm Detection using Weather Rcscarch Forcast-CHEM Model and Aerosol Optical Depth Product Moderate Resolution Imaging Spectro Radiometer Sensor (Case Study: Kermanshah) [Original Research]. Geographical Researches, 37(3), 313-326. http://georesearch.ir/article-1-1348-en.htmlCochrane, M. A. (2003). Fire science for rainforests. Nature, 421(6926), 913-919. http://dx.doi.org/10.29252/geores.37.3.313

24. Sheikhghaderi, S. H., Alizadeh, T., & Rezaei Banafsheh, M. (2022). Dust Storm Detection using Weather Rcscarch Forcast-CHEM Model and Aerosol Optical Depth Product Moderate Resolution Imaging Spectro Radiometer Sensor (Case Study: Kermanshah) [Original Research]. Geographical Researches, 37(3), 313-326. http://georesearch.ir/article-1-1348-en.html

25. Sorek-Hamer, M., Just, A. C., & Kloog, I. (2016). The use of satellite remote sensing in epidemiological studies. Current opinion in pediatrics, 28(2), 228. https://doi.org/10.1097/MOP.0000000000000326 [DOI:10.1097/mop.0000000000000326]

26. Thompson, T. M., Rausch, S., Saari, R. K., & Selin, N. E. (2014). A systems approach to evaluating the air quality co-benefits of US carbon policies. Nature Climate Change, 4(10), 917-923. http://dx.doi.org/10.1038/nclimate2342 [DOI:10.1038/nclimate2342]

27. YJ, K. (2002). A satellite view of aerosols in the climate system. Nature, 419, 215-223. http://dx.doi.org/10.1038/nature01091 [DOI:10.1038/nature01091]