نوع مقاله : مقاله پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
Aim: Sand dunes are one of the most important landforms created by wind deposition. They are wide, flat desert areas with wind-swept sand and little or no vegetation.
Material & Method: For this purpose, the statistics and meteorological data of 19 synoptic stations of the province were used to determine the prevailing wind and the origin of wind deposits, as well as the drift potential (DP), the resulting drift potential (RDP), and the resulting drift direction (RDD) caused by the sand from each sand obtained.
Finding: According to the study, the rate of erosion and change in area in the erg of Qomtape was higher than in the erg of Maghsudlu, and the distance of 37 years was estimated at 72.41 percent for the erg of Qomtape and 26.95 percent for the erg of Maghsudlu. The potential/direction of sand Drift also showed that the origin of the sands of Maghsudlu reg is from the side of Mount Sahand, and the origin of the sands of the reg of Qomtape is from the side of Lake Urmia.
Conclusion: The origin of the region's wind Sands due to the prevailing wind direction, which is predominantly northern, can also be expressed as the presence of fine sediment at the end of the region's cone deposits and the place where plate floods spread. The place where plate floods spread supplies most of the area's sands, and the end of the fine sediment deposits provide the fine sediment.
Innovation: In this research, an analysis of the sand drift potential and its paths helps us interpret the formation of the ridges elsewhere.
کلیدواژهها English
Arid and semi-arid lands cover more than two-thirds of Iran's area. Due to the lack of humidity in these lands, the variety of vegetation is limited, so the wind easily attacks the land's surface and carries soil particles with it. The movement of sand dunes causes severe damage to Iran's infrastructure and rural settlements every year. Identifying active dunes and monitoring areas with dune migrating sands are important measures to reduce these damages. Most of Iran's sand dunes are located in the desert plain, Lut desert, and its surroundings. In addition to these cases, the presence of two sandy areas northwest of the country, including the two Ergs of Qomtepe and Maqhsoudlu, is interesting. The Erg of Qomtepe and Maghsoudlu resulted from thousands of years of wind and soil activity, which ultimately led to their formation. Erg Qomtepe and Maghsoudlu, with their unique nature around them, are some of the most attractive tourism phenomena in East Azerbaijan tourism. At the same time, the movement of sand and the destruction of the surrounding lands cause much damage to the people of the region every year, so monitoring the amount and direction of movement of these sand dunes for planning is one of the tasks of researchers. By analyzing the anemometer data of a station, it is possible to predict the type of malleable sand dunes and the amount and direction of sediment movement. One of the proposed methods in this field, which was used for the first time by Freiberger and Dean, is the statistical analysis of winds with speeds exceeding the threshold wind speed. This research aims to observe and monitor the amount and direction of movement of sand dunes and the amount of destruction of surrounding lands annually using Google Earth images and meteorological synoptic data.
In order to investigate the changes and displacement of sand dunes and evaluate the changes in the range of sand dunes in the study area, Google Earth images with different time intervals were used. In the next step, the wind data of meteorological stations in the region was used to know the wind regime and also to know the potential of wind erosion, which includes statistical data from the establishment of 19 synoptic stations located in East Azarbaijan province until May 2022 as the most appropriate and available statistical data; A total of 164,869 data have been analyzed. Sand Rose software was also used to draw sand. The Sand Rose graph is a wind-powered sand chart that Freiburger and Dean first used. To draw this diagram, winds that are faster than the erosion speed threshold are converted into vector units as sand transport potentials, and by drawing them, the sand is drawn in different directions. A new method was used to draw a geomorphological map. The Alus Landform dataset presents the landform classes created by combining the ALOS CHILI Continuous Heat Load Index and Multiscale Topographic Position Index (ALOS MTPI). This index is coded based on the ALOS 30m Digital Elevation Model data in Google Earth Engine.
Based on the drawn winds, the percentage of repetition of the wind direction is different in different stations. However, in general, in the studied stations, the wind frequency was highest in the north, northeast, and east directions. Tabriz Airport, Maragheh Airport, Mianeh, Marand, Warzghan, Shabestar, Ajabshir, Bonab, and Charaoimaqh had one-way prevailing winds. However, two-way prevailing winds were observed at Jolfa, Sarab, Kalibar, and Hari's stations. In other stations, the prevailing winds were multi-directional. The results of the calculation and preparation of the Sand Rose graph for the studied stations, the calculation of DPt showed that the maximum and minimum DPt are related to Khosrowshahr (V.U<20000) and Charaoimaqh (0.2 V.U) stations, respectively. Freiberger and Dean's classification showed that wind erosion potential was high except for the Sahand and Khosrowshahr stations. The resulting drift direction (RDD) in the studied area showed that the sand sediments in Khosrowshahr, Bostanabad, Ajabshir, Marand to the north, in Warzghan, Ahar and Haris to the northeast, in Tabriz airport to the east, in Maragheh and Bonab airports to the east. To the west, in Sarab, Malkan, and Sahand, east of Tabriz and Shabstar, they move to the northwest, in Kalibar to the southeast, and in Mianeh and Jolfa to the southwest. The analysis of the one-way index in the region showed that according to the classification of Freiburger and Din, Maqhsoudlu sand has unidirectional wind, and Qomtepe Erg has multi-directional wind. Google Earth images from 1985 and 2022 were used to estimate the displacement of the Maghsoudlu and Qomtepe sand dunes. The amount of displacement for Maghsoudlu Erg was estimated to be 7.31 meters per year, and for Qomtepe sand, the displacement cannot be measured. Due to encroachment in the sand area of Qomtepe with the construction of an industrial town, excessive harvesting, and poor management in preserving and maintaining this natural heritage, it will be destroyed in the next few years.
This research shows that the amount of displacement related to Maghsoudlu Erg was estimated at 31.7 meters per year, and the amount of movement of sand dunes in Qomtepe Erg cannot be predicted due to poor management in preserving the sands of the region due to indiscriminate harvesting for sand factories. Also, the rate of erosion and area change in Qomtepe sand has a higher trend compared to Maghsoudlu Erg, and it was estimated to be 72.41% for Qomtepe and 26.95% for Maghsoudlu Erg after 37 years since 1985. In the end, based on the results of this research, it can be said that by establishing a desert studies research center in this province, rather than studying, planning to deal with the development of sandy areas in East Azerbaijan province. Moreover, the research gap and the lack of research resources regarding the Ergs of the northwest of the country, especially the East Azerbaijan province, which caused many problems during the research, should be resolved.
احمدی، حسن & مصباحزاده، طیبه. (1390). مقایسه مقادیر توان حمل ماسه برآورد شده به دو روش سرعتهای لحظهای و روش کلاسهای سرعت فرایبرگر با استفاده از نرمافزار گلماسهنما (مطالعه موردی: جاسک و کرمان). آب و خاک، 25(1)، -. doi: 10.22067/jsw.v0i0.8500
اختصاصی، محمدرضا و صارمی نایینی، محمدعلی و صارمی نایینی، عبدالله، 1384، طراحی نرمافزار گلماسهنما (sand rose graph 2.0) پردازشگر توان فرسایش خاک و حمل رسوب توسط باد، اولین همایش ملی فرسایش بادی، یزد، https://civilica.com/doc/101053
خلیلی، علی، درویش صفت، علی اصغر، برادران راد، رضا و بذرافشان، جواد. (1383). پیشنهاد روش برای پهنهبندی اقلیمی در محیط GIS (مطالعه موردی شمال غرب ایران در سیستم سلیانینف). بیابان، 9(2)، 227-238. SID. https://sid.ir/paper/5368/fa
م. ر. رجبی، ف. روحانی، ک. مختاری، (1386). تحلیل مورفولوژی تپههای ماسهای منطقه زابل و زهک با استفاده از نمودار گلماسه، پژوهشنامه علوم کشاورزی و منابع طبیعی خزر، 5(1)، 1-14، magiran.com/p649932
مرضیه مکرم، سعید نگهبان، (1393). طبقهبندی لندفرمها با استفاده از شاخص موقعیت توپوگرافی(TPI) مطالعه موردی: منطقه جنوبی شهرستان داراب، نشریه اطلاعات جغرافیایی (سپهر)، 23(92)، 57-65. magiran.com/p1416786
ممقانی, عباس، زارع احمدآباد، محسن & مقصودی، مهران. (1398). منشأیابی ماسههای بادی با استفاده از کانیشناسی و مورفوسکوپی دانههای ماسه (مطالعه موردی: قوم تپه صوفیان- شمال دریاچه ارومیه). جغرافیا و مخاطرات محیطی، 8(3)، 77-95. doi: 10.22067/geo.v8i3.81703
مهران مقصودی، محمد فتحاللهزاده، حمید گنجائیان، (1400). پایش تغییرات سرعت باد و اثر آن بر جابهجایی و تغییرات تپههای ماسهای در ریگ لوت، نشریه اطلاعات جغرافیایی (سپهر)، 30(118)، 113-126. magiran.com/p2322375
یوسفی مبرهن، ابراهیم، قدرتی، منصور، خسروشاهی، محمد. (2021). پایش و پیشبینی عوامل اقلیمی موثر بر تحرکپذیری تپههای ماسهای استان سمنان. حفاظت منابع آب و خاک (علمی - پژوهشی)، 4(10)، 127-142. https://sanad.iau.ir/journal/wsrcj/Article/18085?jid=18085
Lettau K., and Lettau H. H. 1978. A note on the use of the "Fryberger method" for evaluating potential sand transport by wind. Journal of Sedimentary Research 67 (3): 499–501. https://doi.org/10.1306/D42685A9-2B26-11D7-8648000102C1865D