تحلیل سنجش از دور درباره آسیب پوشش گیاهی پیرامون کارخانه های ذوب فلز در شبه جزیره کولا، روسیه

نوع مقاله: مقاله پژوهشی

نویسنده

دانشجوی دوره دکتری رشته جغرافیا- دانشگاه تهران

چکیده

انتشار دی اکسید گوگرد فراوان و فلزات سنگین از کارخانه­ های ذوب فلز نیکل و مس در شبه جزیره کولا، در روسیه، تخریب و انهدام شدید پوشش گیاهی را در نواحی اطراف در طی چند دهه گذشته باعث شده است. در اقدامی بمنظور نمایان ساختن تغییرات در وضعیت پوشش گیاهی در حول و حوش کارخانه ­های ذوب فلز «منچوگورسک» تصاویر ماهواره لندست MSS در جهت ارائه تحلیلی تصویری از سال­های 1989، 1986، 1980، 1978 در چند مقطع تهیه شد. به موجب مقایسه و ارزیابی مقادیر از شاخص تفاوت پوشش گیاهی طبیعی شده NDVI در سال­های مختلف، به روشنی تخریب در بخش پوشش گیاهی سبز و تازه در طی دوره زمانی سنجش شده قابل تشخیص است. طبقه ­بندی نظارت شده در بررسی از تصاویر مؤید همین روند است که: پوشش گیاهی اطراف کارخانه­ های ذوب فلز به شدت سیر انهدام را متحمل شده است. ترکیبی بزرگ از تصاویر بهم پیوسته موزائیکی سنجنده TM از کانال­های 6، 4، 1 به وسیله مدل توزیعی از دی اکسید گوگرد (SO2) پوشیده شده و به روشنی نشان داد که ناحیه با تراکم برابر با متوسط سالیانه 60-40 میکرومتر (M-3) از دی اکسید گوگرد به شدت آسیب دیده است.

عنوان مقاله [English]

Analysis of Remote Sensing of Vegetation Damage Concerning Smelting Factories in Kola Peninsula, Russia

نویسنده [English]

  • Mohammad Amin Arefzadeh (Translator)
Ph.D. Student of Geography, University of Tehran
چکیده [English]

The release of large amounts of CO2 and heavy metals from nickel and copper smelting plants in the Kola Peninsula in Russia has caused extensive destruction of vegetation in the surrounding areas over the past few decades. In an attempt to illustrate the changes in the vegetation situation around Monchegorsk smelting factories, MSS Landsat satellite images were prepared for a visual analysis of the years 1989, 1986, 1980, 1978 at several stages. By comparing and assessing the NDVI (Normalized Difference Vegetation Index) numerical values in different years, the destruction in the green and fresh vegetation during the measured period can be clearly identified. The monitored classification in examination of the images confirms the same trend: vegetation around the smelting factories has undergone severe annihilation. A large combination of continuous (complementary) images by the TM sensor from Channels 6, 4 and 1 was covered by Sulfur Dioxide (SO2) using the distribution model which clearly showed that the area with an annual average density of 40-60μm of Sulfur dioxide has been severely damaged.

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