Volume 11, Issue 2 (8-2024)
Journal of Spatial Analysis Environmental Hazards 2024, 11(2): 1-16 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Mohammadpour K, Ahmadi G. Assessment of ground-based dataset and satellite remotely sensed images for analyzing of dust over western Iran. Journal of Spatial Analysis Environmental Hazards 2024; 11 (2) : 1
URL: http://jsaeh.khu.ac.ir/article-1-3162-en.html
URL: http://jsaeh.khu.ac.ir/article-1-3162-en.html
1- Khararzmi university, Tehran , kawe.m@hotmail.com
2- Tabriz University, Tabriz
2- Tabriz University, Tabriz
Abstract: (4014 Views)
Abstract
Dust storm is a complex process that it was affected by relation between earth-atmophere system and point of veiw climatologist and meteorologist that they assessing atmospheric and climatic change, in general of world veiw, monitoring from dust cover is a need structures.
The western region of Iran is the study area. The data used in this study are divided into two categories: ground-based observations in 27 synoptic stations extracted from the Iran’s Meteorological Organization during period (1998-2010) and satellite MODIS images during the first to fourth days of July 2008. Finally, the aim has analyzed using Arc GIS and ENVI softwares and NDDI index.
According to results, interpolated map for the number of dusty days during the study period over the western half of Iran showed that extent of case study have not a equal system aspect quantity of occuring from dust phenomenon and how is it trend. The number of dust days increase from north toward south and sites located in northen proprotion of studied area have experienced a lower dust events. While, maximum hotspots are occuring over southwestern sites such as: Ahvaz, Ilam, Boushehr and Shiraz. Therefore, principle offspring of dust input has been out of country boundaries and arrived far way area. On based resultes obtined on satellite images using NDDI index also idicate that maximun of intense cover dust is observed over Fars, Ilam, Boushehr and Ahvaz provinces on the first, second, thrid and forth of July. But, the lowest rate of index situated in extent far such as: Eastern Azarbayjan, Western Azarbayjan provinces. Thus, parts located on the north of the study area experienced less dusty days and the maximum dust core was located in the southwestern (mostly ahvaz). The long-term result was consistent with the use of NDDI index and the daily average of NDDI index in the whole study area indicated the hotspot areas (Ilam, Ahvaz, Omidieh, Bushehr and Shiraz) during the first to fourth days July 2008. However, in the region has reduced the level of dust cover when a wet and cloudy synoptic system pass over the central and northwestern parts of the study area.
Dust storm is a complex process that it was affected by relation between earth-atmophere system and point of veiw climatologist and meteorologist that they assessing atmospheric and climatic change, in general of world veiw, monitoring from dust cover is a need structures.
The western region of Iran is the study area. The data used in this study are divided into two categories: ground-based observations in 27 synoptic stations extracted from the Iran’s Meteorological Organization during period (1998-2010) and satellite MODIS images during the first to fourth days of July 2008. Finally, the aim has analyzed using Arc GIS and ENVI softwares and NDDI index.
According to results, interpolated map for the number of dusty days during the study period over the western half of Iran showed that extent of case study have not a equal system aspect quantity of occuring from dust phenomenon and how is it trend. The number of dust days increase from north toward south and sites located in northen proprotion of studied area have experienced a lower dust events. While, maximum hotspots are occuring over southwestern sites such as: Ahvaz, Ilam, Boushehr and Shiraz. Therefore, principle offspring of dust input has been out of country boundaries and arrived far way area. On based resultes obtined on satellite images using NDDI index also idicate that maximun of intense cover dust is observed over Fars, Ilam, Boushehr and Ahvaz provinces on the first, second, thrid and forth of July. But, the lowest rate of index situated in extent far such as: Eastern Azarbayjan, Western Azarbayjan provinces. Thus, parts located on the north of the study area experienced less dusty days and the maximum dust core was located in the southwestern (mostly ahvaz). The long-term result was consistent with the use of NDDI index and the daily average of NDDI index in the whole study area indicated the hotspot areas (Ilam, Ahvaz, Omidieh, Bushehr and Shiraz) during the first to fourth days July 2008. However, in the region has reduced the level of dust cover when a wet and cloudy synoptic system pass over the central and northwestern parts of the study area.
Article number: 1
Type of Study: Research |
Subject:
Special
Received: 2020/09/13 | Accepted: 2021/01/14 | Published: 2024/09/22
Received: 2020/09/13 | Accepted: 2021/01/14 | Published: 2024/09/22
References
1. احمدی ملاوردی مجید، جباری ایرج و امان‌اله فتح‌نیا. 1399. شناسایی، ارزیابی و مدیریت خاستگاه‌های‌گردوغبار در غرب ایران. پژوهشهای‌جغرافیای‌طبیعی، دوره 52، شماره 3،پاییز 1399: 445-465.
2. آرامی، سید عبدالحسین، اونق مجید، محمدیان بهبهانی علی، اکبری مهری و علیرضا زراسوندی .1397. تحلیل مطالعات مخاطره گردوغبار در جنوب غرب ایران در دوره 22 ساله (1996 – 2017)، مجله تحلیل فضایی مخاطرات محیطی، سال پنجم، شماره 1، بهار 1397: 39-66.
3. اکبری، مهری و فرحناز فرحبخشی .1395. تحلیل سینوپتیکی و شبیه‌سازی حرکت طوفان‌های شدید گردوغبار (مطالعه مورد: جنوب غرب ایران)، فصلنامه‌ی علمی-پژوهشی فضای جغرافیایی، سال شانزدهم، شماره 55، پاییز 1395: 273-291.
4. ترکاشوند، محمدقاسم .1397. مدل‌سازی گردش منطقه‌ای جو در رخداد شدیدترین توفان ریز گرد بهاره غرب ایران، مجله مخاطرات محیط طبیعی، سال پنجم، شماره 2، تابستان 1397: 19-34.
5. جبالی، عاطفه؛ زارع، محمد ؛ اختصاصی، محمدرضا و رضا جعفری .1398. ارزیابی عملکرد الگوریتم‌های آشکارساز طوفان-های گردوغبار در مناطق خشک (مطالعه موردی استان یزد)، مجله علمی-پژوهشی مهندسی اکوسیستم بیابان، سال هشتم، شماره بیست و سوم، تابستان ،۱۳۹۸: ۸۵ـ.۱
6. رنجبر سعادت آبادی، عباس، میهن پرست، مجتبی و فائزه نوری . 1395. بررسی پدیده گردوغبار در غرب ایران از دیدگاه هواشناختی (مطالعه بلند مدت و کوتاه مدت)، مجله علمی و ترویجی نیوار، شماره ،93-92، بهار و تابستان 95.
7. زینالی، بتول .1395. بررسی روند تغییرات فراوانی روزهای همراه با توفان‌های گردوغباری در نیمه غربی ایران، مجله مخاطرات محیط طبیعی، سال پنجم، شماره 7، بهار 1395: 87-100.
8. ساری صراف، بهروز، علی اکبر رسولی، آذر زرین و محمد سعید نجفی .1396. شبیه قائم سامانه‌های گردوغبار زا در ارتباط با سامانه‌های همدید و توپوگرافی در غرب ایران، پژوهش‌های جغرافیای طبیعی، دوره 49، شماره 2، تابستان 1396، : 189-169
9. محمدپور، کاوه؛ سلیقه، محمد؛ درویشی بلورانی، علی و طیب رضیئی .1399. واکاوی و مقایسه تولیدات ماهواره‌ای و شبیه‌سازی شده AOD در تحلیل گردوغبارهای غرب ایران (2000 - 2018)، تحلیل فضایی مخاطرات محیطی، ۷ (۱) :۱۵-۳۲.
10. Akbary, M., Farahbakhshi, M. 2015. Analyzing and Tracing of Dust Hazard in Recent Years in Kermanshah Province, Int. J. Environ. Res., 9(2):673-682.
11. Albaqami, S. 2019. Spatial and temporal analysis of dust storms in Saudi Arabia and associated impacts, using Geographic Information Systems and remote sensing, PhD thesis, King Abdulaziz University.
12. Arkian, F., Nicholson, S. E. 2018. Long-term variations of aerosol optical depth and aerosol radiative forcing over Iran based on satellite and AERONET data, Environ Monit Assess 190: 1-15.
13. Ashrafi, K., Shafiepour-Motlagh, M., Aslemand, A., Ghader, S. 2014. Dust storm simulation over Iran using HYSPLIT, Journal of Environmental Health Science and Engineering :1-9.
14. Bangert, M., Nenes A., Vogel B., Vogel H., Barahona D., Karydis V. A., Kumar P., Kottmeier C., Blahak U. 2012. Saharan dust event impacts on cloud formation and radiation over Western Europe, Atmos. Chem. Phys., 12: 4045–4063.
15. Barkan. J, Kutiel. H, Alpert. P. 2004. Climatology of source in North Africa and the Arabian Peninsula, Based on TOMS Data. Original Article, Indoor Built Environ 2004, 13: 000-000.
16. Chang, SC., Chou, CCK., Chen, WN., Lee, CT. 2010. Asian dust and pollution transport—a comprehensive observation in the downwind Taiwan in 2006. Atmos Res 95: 19–31.
17. Chin, M., Diehl, T., Tan, Q., Prospero, J. M., Kahn, R. A., Remer, L. A., Yu, H., Sayer, A. M., Bian, H., Geogdzhayev, I. V., Holben, B. N., Howell, S. G., Huebert, B. J., Hsu, N. C., Kim, D., Kucsera, T. L., Levy, R. C., Mishchenko, M. I., Pan, X., Quinn, P. K., Schuster, G. L., Streets, D. G., Strode, S. A., Torres, O., Zhao, X.-P. .2014. Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model, Atmos. Chem. Phys., 14: 3657–3690, doi:10.5194/acp-14-3657-2014.
18. Desouza, Nirmala D., Baby, S., Qureshi, Muhammad S..2011. Evolutionary characteristics of a dust storm over Oman on 2 February 2008, Meteorol Atmos Phys 114:107–121.
19. Ghazal, Nawal K. .2020. Monitoring dust storms using normalized difference dust index (NDDI) and brightness temperature variation in Simi arid areas over Iraq, Iraqi journal of physic, 2020: Vol: 18, No: 10: 68-75
20. Ghedira. H., AL Rais. A., AL Suwaidi. A. 2009. Developing a new automated tool for detecting and monitoring dust and sand storms using Modis and Meteosat SEVIRI- MSG data. IGARSS.pp. 905-908.
21. Goudie, A. S, Middleton, N. J. 2001. Saharan dust storms: nature and consequences. Earth- Science Reviews, 56: 179-204.
22. Guleria, RP., Jagdish, CK., Pan SR., Nand, LSh., Harinder KTh., Pitamber PD., Mahavir S. 2011. The assessment of aerosol optical properties over Mohal in the northwestern Indian Himalayas using satellite and ground-based measurements and an influence of aerosol transport on aerosol radiative forcing, Meteorol Atmos Phys 113:153–169.
23. Guo, N., Liang, Y., Wang X. 2005. Quantitative Identification of Dust and Sand Storm Using MODIS Data. Key Laboratory of climate changes and reduced disaster, Institute of Arid Meteorology, CMA, Lanzhou,730020, China 0-7803-9050-4/05/$20.00 ©2005 IEEE.
24. Haiping, L., Xiong, L., Zhuang, D. 2003. Research Progress and Future Development of Remote Sensing Monitoring on Sand-dust Disaster in China. Progress In Geography, 22(1): 45-52.
25. Han, T., Li. Y., Han, H., Zhang, Y, Wang. Y. 2005. Automatic detection of dust storm in the northwest of China using decision tree classifier based on MODIS visible bands data. Geoscience and Remote Sensing Symposium, Proceedings of IGARSS, IEEE International, vol. 5, NO. 25-29, 3603-3606.
26. Klingmüller, K., Pozzer, A., Metzger, S., Stenchikov, G. L., Lelieveld, J. 2016. Aerosol optical depth trend over the Middle East, Atmos. Chem. Phys., 16: 5063–5073, doi:10.5194/acp-16-5063- 2016.
27. Kutiel, H., Furman, H. .2003. Dust Storm in the Middle East: Sources of origin and their temporal characteristics. Environmental Problems Affecting Health Original Paper, Indoor Built Environ 2003; 12: 419-426.
28. Lee, Y. C., Yang, X., Wenig M. 2010. Transport of dusts from East Asian and non- East Asian sources to Hong Kong during dust related events 1996- 2007. Atmospheric Environment XXX: 1-11.
29. Li, X., Song W. .2010. Dust Storm Detection Based on Modis Data. Liaoning Technology University, No. 47 Zhonghua Road, Fuxin, LIAONING, lee_xian@126.com.
30. Mao, K.B., Ma, Y., Xia, Wendy, L., Chen, Y., Shen, X.Y., He, T.J., Xu, T.R..2014. Global aerosol changes in the last decade: An analysis based on MODIS data, Atmospheric Environment 94: 680-686.
31. Mei, DI., Xiushan, LU., Lin. SUN., Ping, W. 2008. A dust-storm process dynamic monitoring with multi-temporal Modis data. Geomatics College, Shan Dong University of Science and Technology, Shan Dong Qingdao, 266510, China.
32. Middleton, N. J, Chaudhary, QZ. 1988. Severe Dust Storm at Karachi, 31 May 1986. Weather; 438: 298–301.
33. Mohammadpour, K., Sciortino, M., Saligheh, M., Raziei, T., Darvishi Boloorani A. 2021, Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran, Atmospheric Research, 249, Available online 17 October 2020, 105322. [DOI:10.1016/j.atmosres.2020.105322.]
34. Nabavi S.O., Haimberger L., Samimi C. 2016. Climatology of dust distribution over West Asia from homogenized remote sensing data, Aeolian Research 21: 93–107. http://dx.doi.org/10.1016/j.aeolia.2016.04.002
35. Namdari, S., Valizade, KK., Rasuly A.A., Sari Sarraf, B. 2016. Spatio-temporal analysis of MODIS AOD over western part of Iran, Arab J Geosci: 9:191.
36. Natsagdorj, L. D, Jugder, S. Y. 2002. Analysis of Dust Storm Observed Mongolia During 1937-1999. p12.
37. Notaro, M., Yu, Y., Kalashnikova, O. V. 2015. Regime shift in Arabian dust activity, triggered by persistent Fertile Crescent drought, J. Geophys. Res.-Atmos., 120: 10229–10249, doi:10.1002/2015JD023855.
38. Orlovsky. L, Orlovsky. N, Durdyev. A. 2005. Dust storm in Turkmenistan. Journal of Arid Environments 60: 83-97.
39. Park, SU., Anna, C., Lee, E-H., Park, M-S., Song X.2010. The Asian Dust Aerosol Model 2 (ADAM2) with the use of Normalized Difference Vegetation Index (NDVI) obtained from the Spot4/vegetation data, Theor Appl Climatol 101:191–208.
40. Qian, W., Quan, L., Shi, S. .2002. Variations of the dust storms in China and its climatic control. Journal of Climate, 15: 1216–1229.
41. Qu. J., Hao. X., Kafatos, M., Wang. L. 2006. Asian dust storm monitoring combining Terra and Aqua Modis SRB measurments. Geosciences and Remote Sensing Letters, 3 (4): 484-486.
42. Qu. J., Hao. X., Wang. W., Wang, L., Kafatos. M. 2005. A Study of African Dust Storm and Its Effects on Tropical Cyclones over Atlantic Ocean from Space. CEOSR/SCS, George Mason University, 4400 University Drive, Fairfax, VA 22030, USA NASA/GSFC/614.4, Greenbelt, MD 20771, USA, 0-7803-9050-4/05/$20.00 ©2005 IEEE.
43. Albaraka, R., Lakshmi, V., 2019. Monitoring Dust Storms in Iraq Using Satellite Data, Sensors, 19: 3687; doi:10.3390/s19173687.
44. Sanchao, L., Qinhuo, L., Maofang, G. 2006. On Asian dust storm in China by combining daytime and nighttime Terra and Aqua Modis data. IEEE Geomantic and Information Science of Wunan University, 31 (20): 1051-1054.
45. Shigong, W., Wang, J., Zhou, Z. , Shang, K. 2005. Regional characteristics of three kinds of dust storm events in China, Atmospheric Environment, 39: 509-520.
46. Taghavi. F., Asadi. A. 2008. The Persian Gulf 12th April 2007 dust storm: observation and model Analysis, EUMETSAT Meteorological Satellite Conference, Darmstadt, Germany, 8-12 September, EUMETSAT P-52.
47. Taheri Shahraiyni, H., Karimi, Kh., Habibi Nokhandan, M., Hafezi Moghadas, N. 2014. Monitoring of dust storm and estimation of aerosol concentration in the Middle East using remotely sensed images, Arab J Geosci , DOI 10.1007/s12517-013-1252-3.
48. Thuraya, M. S., Al-Dashti H. 2011. Optical and physical characterization of “Iraqi freedom” dust storm, a case study, Theor Appl Climatol 104:123–137.
49. Wang, X. M., Dong, Z. B., Zhang, J. W., Liu, L. C. 2004. Modern dust storms in China: an overview. Journal of Arid Environments, 58: 559–574.
50. Ye, D. Z., Chou, J. F., Liu, J. Y. .2000. Causes of sand storm weather in northern China and control measures. Acta Geographic Sinica, 55(5): 513–521.
51. Yong X. 2009. Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite Remote Sensing Measurements. A dissertation Phd, George Mason University.
52. Yue, H., He, C., Zhao, Y., Ma, Q., & Zhang, Q. 2017. The brightness temperature adjusted dust index: An improved approach to detect dust storms using MODIS imagery. International Journal of Applied Earth Observation and Geoinformation, 57, 166–176. doi: 10.1016/j.jag.2016.12.016.
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
