بررسی و ارزیابی روشهای دورسنجی و ژئوفیزیکی جهت پتانسیلیابی منابع آهندار در نیمۀ شمالشرق ده چاهـ فارس | ||
| نشریه سنجش از دور و GIS ایران | ||
| مقاله 7، دوره 17، شماره 2 - شماره پیاپی 66، 1404، صفحه 121-148 اصل مقاله (4.38 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.48308/gisj.2024.221224.1013 | ||
| نویسنده | ||
| سعید مجرد* | ||
| گروه مهندسی نقشهبرداری، دانشکدۀ فنی و مهندسی، دانشگاه بجنورد، بجنورد، ایران | ||
| چکیده | ||
| سابقه و هدف: امروزه استفاده از منابع معدنی زیرزمینی، مانند سنگآهن، اولویتی مهم در عصر اقتصاد جوامع است و این منابع جزء ضروریترین و ابتداییترین مواد فلزی در جوامع امروزی شمرده میشوند. ازاینرو اکتشاف سنگآهن در مناطق مهم که پتانسیلهای منابع فلزی دارند، در اولویت قرار دارد. تا کنون روشهای بسیاری، برای پتانسیلیابی سنگآهن در زیر سطح زمین، ابداع شده که مهمترین آنها روشهای دورسنجی و ژئوفیزیکی است. در منطقۀ مورد مطالعه، با توجه به سیستم لیتولوژی و ساختارهای گسلش منطقه، وجود منبع سنگآهن در زیر سطح زمین تاحدی تأیید میشود ولی برای کاستن هزینههای اکتشافات، قبلاز حفاری و صرف هزینههای هنگفت، باید مطالعات دقیق ژئوفیزیکی و زمینشناختی انجام بشود. هدف مطالعاتی، در منطقۀ مورد مطالعه، ترکیب و تلفیق چند روش دورسنجی و گرانیسنجی زمینی و تطبیق اطلاعات با مغناطیسسنجی و همچنین اعتبارسنجی نتایج آنها با مطالعات زمینشناسی است. مواد و روشها: این عملیات گرانیسنجی و مغناطیسسنجی از قدیمیترین روشهای ژئوفیزیکی است که برای فعالیتهای اکتشافی درزَمینههای گوناگون و بهویژه اکتشاف ذخایر آهن به کار میرود. محدودۀ مورد مطالعه در شمالشرق استان فارس و نیمۀ شمالی شهرستان نیریز واقع شده است. در این پژوهش ابتدا، با استفاده از دادۀ یک برگ از سنجنده، از نوع Level-1A و متعلق به تاریخ 22/09/2007 و بهکارگیری روشهای دورسنجی، شامل پردازش و تحلیل طیفی ترکیبهای رنگی متفاوت و نسبتگیری باندی و تحلیل مؤلفههای اصلی باندها و نقشهبرداری زاویۀ طیفی کانیها با استفاده از نرمافزار ENVI روی دادههای استر (ASTER)، پهنههای دگرسانی و مناطق کانیسازیشدۀ مرتبط با کانیزایی آهندار در منطقه مشخص شد. در مرحلۀ بعد، دادههای ژئوفیزیکی گرانیسنجی زمینی در این منطقه به کار رفت و این دادهها، با استفاده از نرمافزار Oasis Montaj، پردازش و تحلیل شد. درنَهایت، با استفادۀ همزمان از هر دو سری دادههای اکتشافی مهم، مناطق مهم کانیزایی آهندار در محدودۀ مورد مطالعه شناسایی و پیجویی شد. بحث و نتیجهگیری: در این پژوهش، با توجه به نتایج مطالعات سنجش از دور و مطالعات گرانیسنجی زمینی، چهار نوع آنومالی شناسایی و پیجویی شده است که در هر دو روش، نتایج منطبق بر یکدیگر است. درواقع، آنومالیهای A، B، C و D در روش سنجش از دور با آنومالیهای A’، B’، C’، D’ و E’ در روش گرانیسنجی زمینی همپوشانی داشته و همچنین تمامی نتایج، با دادههای مغناطیسسنجی بهمنظور اعتبارسنجی، مطابقت داشته است. با توجه به مجاورت تودۀ نفوذی آذرین با سنگهای آهکی، بهصورت کلی به نظر میرسد آنومالیهای A’، B’ و C’ میتواند ناشی از کانیزایی آهن از نوع اسکارن در این ناحیه باشد. وجود کانیزایی گارنت در این زون احتمال صحت این ادعا را افزایش میدهد. این آنومالیها در اعماق و زیر واحدهای آهکی واقع شده است. با توجه به نقشۀ گرانیسنجی، کانیزایی آهندار در راستای شمالغربـ جنوبشرق اتفاق افتاده و آنومالیهای A’، B’ و C’ ناشی از دو دایک مجاور هم در منطقه است. آنومالی D’ و E’ در جنوب محدوده و جنوب آنومالی A’ و C’ واقع شده و بر سنگهای شیست سبز و آمفیبولیتها و گارنت شیستها منطبق است. مهمترین آنومالی A’ و C’ است که با توجه به طول و ضخامت توده، وضعیت کانیزایی مناسبی دارد. آنومالی مجاور آن نیز B’ است که احتمالاً با آنومالیهای A’ و B’ منشأ یکسانی دارد و به نظر میرسد این کانیزایی در مرز سنگهای آهکی با تودۀ نفوذی رخ داده باشد. | ||
| کلیدواژهها | ||
| سنگآهن؛ گرانیسنجی؛ سنجش از دور؛ ده چاه؛ استر؛ مغناطیسسنجی زمینی | ||
| عنوان مقاله [English] | ||
| Investigation and Use of Remote Sensing and Geophysical Methods to Potential Iron Ore- Northeast of Deh Chah-Fars | ||
| نویسندگان [English] | ||
| Saeed Mojarad | ||
| Surveying Group, University of Bojnourd, Bojnourd, Iran | ||
| چکیده [English] | ||
| Introduction: The Gravimetric method is an early exploration tool for minerals. In other areas, the use of this method has been developed from common applications such as mapping the bedrock structure to a wider range of applications, including the location of faults in the environment Sedimentary deposits, revealing hidden semiconductor associations, determining the position of salt domes in sedimentary environments with weak Gravity response, and finally, modeling the structures by means of a three-dimensional return of Gravimetric data. Material and Methods: In this study, using first-order data from an ASTER sensor of type-1A, which was used in 2007, was first used by using remote sensing methods including spectral analysis of color combinations and band ratio with software The ENVI, which carried out the ASTER data, the alteration zones associated with iron Fe mineralization were identified in the region. In the next step, the geomorphic data of ground Gravimetric measurement in the study area has been used and has been applied to the processing and analysis of ground Gravity complete bougure data using Oasis Montaj software. Finally, with the simultaneous use of three major exploratory data, significant areas of iron ore mineralization have been identified and investigated within the study area. Results and Discussion: The important iron ore reserves in this zone can be noted that the Gol-Gohar iron ore geological units Gol-Gohar iron ore schists, metamorphic sandstone, quartzite, and metamorphic masses are diabasic. The RGB color combination (123) has been processed on ASTER sensor data, and the interpretation of the studied area with respect to field geological information in the region is such that iron-metallurgical units are observed in dark blue. The color Composition (468) RGB was processed on ASTER sensor data, and the interpretation of the studied area is due to the field geological information in the region. Band Ratio is the image processing method that involves dividing a band into another band. The ratio (Band 5 + Band 7) / Band 6 was applied to the ASTER sensor data, as presented in the figure, bright pixels showing sericite, muscovite, Illite, and smectite minerals. As seen in all processed ASTER data, the anomalies of numbers A, B, C, and D differ from other geological units in the study region. Using methods of ground gravimetric processing, many methods were used to identify the sources. We were able to identify five anomalies under the ground that it is very important. Anomalies B’ related to two geological dikes with a lower depth than other anomalies. Anomalies A’, C’, D’ and E’ are much larger and longer. And they have an important source at high depths. Conclusion: In this study, according to remote sensing studies and ground gravimetric studies, five anomalies have been discovered. In both methods, the results are consistent with each other. In fact, the anomalies A, B, C and D in the remote sensing method overlap with the anomalies A', B', C’, D' and E’ in the method of ground gravimetric. The most stable changes in the gravity field in all gravimetric analyzes are related to the A’ and C’ anomalies. The bonding method with a mathematical ratio of Band 3 / Band 1 and Band 5 / Band 4 ratio was also applied to ASTER sensor data. The ratio (Band 5 + Band 7) / Band 6 was applied to the ASTER sensor data, as presented in the figure, bright pixels showing sericite, muscovite, Illite, and smectite minerals. As seen in all processed ASTER data, the anomalies of numbers A, B, C, and D differ from other geological units in the study region. In the study area, we were able to identify four anomalies under the ground that it is very important. The geological structure of these anomalies is Northwest-South East. Anomalies A and anomalies B are related to two geological dikes with a lower depth than other anomalies. Anomalies C and anomalies D are much larger and longer. And they have an important source at high depths. According to the results of method Analytic Signal and method Vertical Derivative, we were able to identify the edges of these anomalies. In fact, the anomalies A, B, C and D in the remote sensing method overlap with the anomalies. | ||
| کلیدواژهها [English] | ||
| Remote Sensing, Gravimetric, ASTER, Deh Chah, Iron ore | ||
| مراجع | ||
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