شناسایی مناطق امیدبخش برای انرژی زمین گرمایی با استفاده از داده‌های ماهواره‌ای در منطقه شوط-ماکو استان آذربایجان غربی

ﻣﻨﺎﻃﻖ داری ﭘﺘﺎﻧﺴﯿﻞ زﻣﯿﻦﮔﺮﻣﺎﯾﯽ ﺑﻪ ﻃﻮر ﻃﺒﯿﻌﯽ دارای ﺷﻮاﻫﺪی در ﺳﻄﺢ زﻣﯿﻦ ﻫﺴﺘﻨﺪ ﮐﻪ در ﭘﺮوژهﻫﺎی اﮐﺘﺸﺎف اﻧﺮژی زﻣﯿﻦﮔﺮﻣﺎﯾﯽ از اﯾﻦ ﺷﻮاﻫﺪ ﺑﺮای ﻣﮑﺎنﯾﺎﺑﯽ اوﻟﯿﻪ آنﻫﺎ اﺳﺘﻔﺎده ﻣﯽﺷﻮد. ﻫﺪف اﯾﻦ ﭘﮋوﻫﺶ ﺷﻨﺎﺳﺎﯾﯽ ﻣﻨﺎﻃﻖ ﻣﺴﺘﻌﺪ زﻣﯿﻦﮔﺮﻣﺎﯾﯽ ﺳﻄﺤﯽ ﺑﺎ ﺗﺮﮐﯿﺐ دﻣﺎی ﺳﻄﺢ و ﻓﻠﻮﻫﺎی اﻧﺮژی ﺣﺎﺻﻞ از اﻟﮕﻮر ﯾﺘﻢ ﺳﺒﺎل ﺑﺎ اﺳﺘﻔﺎده از دادهﻫﺎی ﺳﻨﺠﻨﺪه ﺣﺮارﺗﯽ ﻣﺎﻫﻮاره ﻟﻨﺪﺳﺖ 8 و 9 در ﻣﻨﻄﻘﻪ ﺷﻮط ﻣﺎﮐﻮ اﺳﺘﺎن آذرﺑﺎ ﯾﺠﺎن ﻏﺮ ﺑﯽ واﻗﻊ در ﺷﻤﺎل ﻏﺮب ﮐﺸﻮر اﺳﺖ. ﺑﺮای اﯾﻦ ﻣﻨﻈﻮر از ﺗﺼﺎوﯾﺮ ﻣﺎﻫﻮاره ﻟﻨﺪﺳﺖ 8 ﺑﻪ ﺗﺎر ﯾﺦ 14 آﮔﻮﺳﺖ 2023 و دادهﻫﺎی ﻟﻨﺪﺳﺖ 9 ﺑﻪ ﺗﺎرﯾﺦ 7 ﺳﭙﺘﺎﻣﺒﺮ 2023 اﺳﺘﻔﺎده ﺷﺪ. ﺳﭙﺲ ﺑﺎ اﺳﺘﻔﺎده از اﻟﮕﻮرﯾﺘﻢ ﭘﻨﺠﺮه ﻣﺠﺰا، ﻧﻘﺸﻪ دﻣﺎی ﻣﺸﺎﻫﺪاﺗﯽ ﺳﻄﺢ زﻣﯿﻦ ﺑﺎز ﯾﺎﺑﯽ ﮔﺮد ﯾﺪ. ﺳﭙﺲ ﺑﺎ اﺳﺘﻔﺎده از ﺗﺼﻮﯾﺮ ﺳﻨﺠﻨﺪه ﺣﺮارﺗﯽ ﻣﺎﻫﻮاره ﺳﻨﺘﯿﻨﻞ 3 دﻣﺎی ﺑﺎزﯾﺎﺑﯽ ﺷﺪه ﺑﺎ اﺳﺘﻔﺎده از ﻣﺪل ﺗﺤﻠﯿﻞ رﮔﺮﺳﯿﻮن ﺧﻄﯽ اﻋﺘﺒﺎرﺳﻨﺠﯽ ﺷﺪ. در اداﻣﻪ ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ اﻫﻤﯿﺖ دﻣﺎی ﺳﻄﺢ زﻣﯿﻦ در ﺷﻨﺎﺳﺎﯾﯽ ﻧﺎھﻧﺟﺎریھﺎی ﺣﺮارﺗﯽ ﻧﺎﺷﯽ از ﻣﻨﺎﺑﻊ زﻣﯿﻦﮔﺮﻣﺎﯾﯽ ﺳﻌﯽ ﺷﺪ ﺑﺎ ﻣﺤﺎﺳﺒﻪ و ﺗﺮﮐﯿﺐ ﻓﻠﻮﻫﺎی ﮔﺮﻣﺎ ﯾﯽ ﺣﺎﺻﻞ از اﻟﮕﻮرﯾﺘﻢ ﺳﺒﺎل ﺑﺎ دﻣﺎی ﺳﻄﺢ ﺑﺎﻻی 50 درﺟﻪ ﺳﺎﻧﺘﯿﮕﺮاد ) ﺑﻪﻋﻨﻮان آﻧﻮﻣﺎﻟﯽﻫﺎی ﺣﺮارﺗﯽ( ﺗﺄﺛﯿﺮ ﻋﻮاﻣﻠﯽ ﻏﯿﺮ از ﻣﻨﺎﺑﻊ زﻣﯿﻦﮔﺮﻣﺎﯾﯽ اﺛﺮ ﺗﺸﻌﺸﻌﺎت ﺧﻮرﺷﯿﺪی ( از روی دﻣﺎی ﺳﻄﺢ زﻣﯿﻦ در ﺷﻨﺎﺳﺎﯾﯽ ﭘﯿﮑﺴﻞﻫﺎی ﻣﺴﺘﻌﺪ اﻧﺮژی زﻣﯿﻦﮔﺮﻣﺎﯾﯽ ﺑﻪ ﺣﺪاﻗﻞ ﻣﻤﮑﻦ ﺑﺮﺳﺪ. ﭼﺸﻤﻪﻫﺎی آﺑﮕﺮم ﻃﺒﯿﻌﯽ ﺑﻪ ﻋﻨﻮان ﯾﮑﯽ از ﺷﻮاﻫﺪ ﻇﺎﻫﺮی اﻧﺮژی ژﺋﻮﺗﺮﻣﺎل ﺗﺄ ﯾﯿﺪﮐﻨﻨﺪه ﭘﯿﮑﺴﻞﻫﺎی ﻣﺴﺘﻌﺪی ﺑﻮدﻧﺪ ﮐﻪ در ﻧﺘﺎﯾﺞ ﺣﺎﺻﻞ از ﻧﻘﺸﻪ ﻧﻬﺎﯾﯽ ﺑﻪ دﺳﺖ آﻣﺪﻧﺪ. در ﻣﻄﺎﻟﻌﺎت آﺗﯽ در زﻣﯿﻨﮥ اﮐﺘﺸﺎﻓﺎت ﺗﻔﻀﯿﻠﯽ ﻣﻨﺎﻃﻖ ﻣﺴﺘﻌﺪ اﻧﺮژی زﻣﯿﻦﮔﺮﻣﺎﯾﯽ، ﻧﺘﯿﺠﻪ اﯾﻦ ﭘﮋوﻫﺶ ﻣﯽﺗﻮاﻧﺪ ﺟﻬﺖ ﻣﺤﺪودﺗﺮ ﺷﺪن ﻣﻨﺎﻃﻖ ﻣﻮرد ﺑﺮرﺳﯽ، ﻣﻮرد اﺳﺘﻔﺎده ﻗﺮار ﮔﯿﺮد.

identification of promising areas for geothermal energy using satellite data in shut-maku on azerbaijan province

areas with geothermal potential naturally have evidence on the ground surface that is used in geothermal energy exploration projects to initially locate these areas. the purpose of this research is to identify areas with surface geothermal energy potential by combining the surface temperature and energy flow resulting from the sebal algorithm using the thermal sensor data of landsat 8 and 9 satellites in shut mako region of west azarbaijan province located on the northwest of the country. for this purpose, landsat 8 satellite images on august 14, 2023 and landsat 9 data on september 7, 2023 were used. then, using the split window algorithm, the temperature map of the land surface temperature was estimated. then, using the sentinel 3 thermal sensor image, the estimated temperature was validation using the linear regression analysis model. in the following, considering the importance of the land surface temperature in identifying thermal anomalies caused by geothermal sources, it was tried by calculating and combining the thermal flows resulting from the sebal algorithm with a surface temperature above 50 degrees celsius (as thermal anomalies) tried the influence of other factors than geothermal sources (effect of solar radiations) on the land surface temperature to be minimum. natural hot springs as one of the evidence of geothermal energy, the verifier were pixels that were obtained in the result of the final map. in future studies in the field of exploration of areas prone to geothermal energy, the result of this research can be used to narrow down the investigated areas.