analysis of patterns and components of land separation in Ardabil city

Document Type : Research Paper

Authors

1 Postdoctoral researcher of Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil, Iran., jamimaryam820@gmail.com

2 Associate Professor, Department of Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil, Iran

3 , Professor of Geography and Urban Planning, University of Mohaghegh Ardabili, Faculty of Social Sciences, Ardabil

10.22034/gp.2024.59314.3205

Abstract

The patterns of land separation are one of the tools that allow land users and urban designers and planners to control the existing and future development and construction of the land and use it with appropriate standards and criteria. and close the shape of the city. Therefore, the way of separation and compliance with the principles and rules of urban planning and the effective components during the separation of urban lands will have a significant impact on cities. Therefore, the aim of the present study is to investigate the patterns of segregation and the factors affecting it in the suburban areas of Ardabil city. The current research is applied in terms of purpose and descriptive-analytical in nature. The statistical population of the research was made up of executive experts in housing and urban development and the Islamic Revolution Housing Foundation of Ardabil city, 50 of them were selected by snowball method and the questionnaire was completed. The obtained data were analyzed using SPSS and Excel software, and after weighting the studied indicators using the Shannon entropy method, the selected areas were selected using the COPRAS model. were ranked. The results of the implementation of the mentioned model show that in terms of the factors affecting land segregation patterns in the suburbs of Ardabil city, Sablan town, dadghostari town, karshenasan town and sina town are ranked first to fourth respectively. are located The components affecting land separation play a decisive role in identifying the land separation pattern. Therefore, it is pointless to consider a fixed pattern for all urban spaces considering the effective components. As a result, the optimal pattern of land separation should always be reviewed and monitored by considering the effective components.

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Main Subjects


هدف اصلی تحقیق فعلی، تشخیص تغییرات سطح پوشش برف در حوضه‌های غربی دریاچه ارومیه، واقع در رشته کوه سیلوانه، با استفاده از پردازش تصاویر ماهواره‌ای چند سنجنده‌ای و چند طیفی برای شناسایی دقیق مناطق پوشش برف می‌باشد. تصاویر ماهواره‌ای سنتینل-۲ و لندست (۸ و ۹) قابل دسترس عملیات پیش‌پردازش از قبیل تصحیحات جوی و رادیومتریک با استفاده از نرم‌افزار ENVI نسخه 1/10 انجام شد. پروژه‌ها برای ماه‌های مه سال‌های ۲۰۱۶ تا ۲۰۲۳ ایجاد گردید. ابتدا، با استفاده از شاخص‌های تفاضلی نرمال شده برف، نقشه‌های پوشش برف مستقل برای تصاویر لندست و سنتینل برای کل حوضه‌های آبریز نازلو‌چای، روضه‌چای، شهرچای و باراندوزچای تولید گردید. در مرحله بعد، با بکارگیری یک روش بهینه سازی شده بر اساس توابع شیء‌گرا وابسته به رنگ بر روی باندهای اصلی سنجنده سنتینل-۲، تصاویر لندست با تصاویر سنتینل تلفیق شدند. این تلفیق به تولید محصولات متنوع، به ویژه تصاویر بهینه رنگی با وضوح بالا و نقشه‌های طبقه‌بندی صحنه مطالعه منجر شد. در نهایت، نقشه‌های سطح پوشش برف با دقت بالا برای دوره‌های زمانی مختلف برای هر یک از حوضه‌های گفته شده از تصاویر تلفیق شده استخراج گردید. بررسی نقشه‌های پوشش برف نشان داد که حوضه آبریز شهرچای علیرغم مساحت کمتر نسبت به حوضه‌های نازلوچای و باراندوزچای، دارای ضریب تجمع برف بالاتری بوده و در نتیجه امکان ذخیره پوشش برف بیشتری را دارا است. همچنین، مقایسه نقشه تراکم پوشش برف (سال‌های ۲۰۱۶ تا ۲۰۲۳) با مدل ارتفاعی آلوس‌پالسار با وضوح ۵/۱۲ متر نشان می‌دهد که مساحت قابل توجهی از پوشش برف در ارتفاعات بالاتر از ۲۳۰۰ متر در محدوده مطالعه توزیع شده است. بنابراین، شناسایی دقیق پوشش برف، حتی در مقیاس روزانه و هفتگی، اطلاعات ضروری و دقیقی را برای مدیریت پیشگیرانه منابع آب به دنبال ذوب برف با اهداف متعدد در حوضه‌های آبریز اطراف دریاچه ارومیه فراهم می‌آورد.

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