تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

مدل‌سازی تجربی پتانسیل انتقال تغییر پوشش سرزمین شهرستان بهبهان با الگوریتم شبکه عصبی مصنوعی

نویسندگان
فاطمه محمدیاری 1
حمیدرضا پورخباز 1
حسین اقدر 2
مرتضی توکلی 3
1 دانشگاه بهبهان
2 دانشگاه شهید چمران اهواز
3 دانشگاه تربیت مدرس، گروه جغرافیا
10.29252/jgs.18.50.219
چکیده
تغییر کاربری زمین، یکی از مهم­ترین چالش­های برنامه­ریزی کاربری زمین است که در برابر برنامه­ریزان، تصمیم­گیران و سیاست گذاران قرار دارد و تأثیر مستقیمی بر بسیاری از مسائل از قبیل رشد اقتصادی و کیفیت محیط دارد. مطالعه حاضر، روند تغییرات کاربری اراضی شهر بهبهان برای سال­های 1392 و 1406 با استفاده از LCM در محیط سامانه اطلاعات جغرافیایی را بررسی می­کند. تجزیه و تحلیل و بارزسازی تغییرات کاربری­ها، به کمک دو دوره از تصاویر ماهواره لندست سال­های 1378 و 1392 انجام شد و نقشه­های پوشش اراضی برای هر سال تهیه شد. مدل­سازی پتانسیل انتقال، به کمک الگوریتم پرسپترون چندلایه شبکه عصبی مصنوعی با استفاده از شش متغیر مستقل صورت پذیرفت و میزان تخصیص تغییرات کاربری­ها به همدیگر، به روش زنجیره مارکف مورد محاسبه قرار گرفت. نتایج پیش­بینی نشان داد بیشترین کاهش تغییرات شامل تخریب مراتع و بیشترین افزایش مساحت در کاربری کشاورزی می­باشد. با توجه به نتایج جدول­بندی افقی نقشه سال 1406 می­توان بیان کرد که از مجموع کل مساحت منطقه، 22/28336 هکتار از اراضی بدون تغییر و 78/33223 هکتار از اراضی تغییر کاربری داده­اند. همچنین روند تخریب مراتع و جنگل در طی این بازه زمانی می­تواند زنگ خطری برای مدیران و برنامه­ریزان شهری و منابع طبیعی باشد.
کلیدواژه‌ها
روند تغییرات
زنجیره مارکوف
شبکه عصبی
مدل‌ساز تغییر سرزمین

عنوان مقاله English

Empirical modeling potential transfer of land cover change pa city with neural network algorithms

نویسندگان English

fatemeh mohammadyary 1
hamidreza pourkhabbaz 1
hossin aghdar 2
morteza Tavakoly 3
1 Behbahan Khatam Alanbia University of Technology
2 Shahid Chamran University of Ahvaz
3 Associ profe of Geography Tarbiat Modares University of Technology
چکیده English

Land-use change is one of the most important challenges of land-use planning that lies with planners, decision-makers and policymakers and has a direct impact on many issues, such as economic growth and the quality of the environment. The present study examines the land use change trends in Behbahan city for 2014 and 2028 using LCM in the GIS environment. Analysis and visibility of user variations, carried out in two periods of Landsat satellite images of 2000 (ETM + sensor) and 2014 (OLI sensors), and land cover maps for each year. The transmission potential modeling was performed by using the multi-layer perceptron artificial neural network algorithm using six independent variables and the distribution of changes in user usage were calculated by Markov chain method. The results of the prediction showed that the most reduction in the changes is the degradation of the rangelands and the greatest increase in the area of agricultural use. According to the horizontal tabulation results of the 2028 map, it can be stated that from the total area of the area 28336.22 hectares of land were unchanged and 33223.78 hectares of land use change. Also Rangeland and forest degradation during this time period can be a danger to urban planners and natural resources.




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کلیدواژه‌ها English

Trend of change
Markov chain
Neural Network
Land Change Modelar
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