Remote Sensing and GIS Applications in Environmental Sciences

Identifying Potential Areas to Dust generation using fuzzy logic and AHP in the Southeast of Urmia Lake

Document Type : Original Article

Authors

1 Department of Environmental science and engineering, Tabriz Branch, Islamic Azad University Tabriz, Iran.

2 Department of Environmental Sciences, Tabriz Branch, Islamic Azad University Tabriz, Iran,-Sustainable Development Management Research Center of Urmia lake Basin and Aras River, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

3 Department of Remote Sensing and GIS. Faculty of Planning and Environmental Sciences. University of Tabriz

4 Department of Soil Science and Engineering, Tabriz Branch, Islamic Azad University Tabriz, Iran,-Sustainable Development Management Research Center of Urmia lake Basin and Aras River, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

5 Ph.D Graduated in Climatology, I.R. of Iran Meteorological Organization, East Azerbaijan Central Bureau, Tabriz. Iran.

10.22034/rsgi.2024.61299.1071

Abstract

In addition to natural disasters such as floods, which cause great damage to the environment and human societies, the phenomenon of dust also causes irreparable damage to urban environments, transportation systems, respiratory systems, etc. Identifying Potential Dust Source Areas is considered the first step to control and prevent this phenomenon. Various researches have been conducted to identify dust sources, but most studies have relied on small-scale images. This research aims to use medium-scale satellite images to identify local areas prone to dust production. Google Earth Engine was used to analyze factors influencing dust generation, including slope, Digital Elevation Model (DEM), land use, soil salinity, Normalized Difference Vegetation Index (NDVI), soil moisture, wind speed, precipitation, and Land Surface Temperature (LST). Analytical Hierarchy Process (AHP) was used to assign weights to these elements. The resulting weights were: soil moisture (0.264), NDVI (0.208), wind speed (0.153), precipitation (0.107), land use/soil salinity (0.081), LST (0.064), DEM (0.024), and slope (0.020). The inconsistency index (0.015) indicated a high degree of consistency between the assigned weights, which is below the acceptable threshold (1). Due to the lack of ground-based air quality measurements, the Aerosol Optical Depth product (a satellite-derived measurement of airborne particles) was used to validate the resulting dust source maps. The final map showed that the potential for dust generation decreased closer to the heights of Sahand and increased closer to the lake.

Keywords

Main Subjects

در کنار حوادث طبیعی همچون سیل، که آسیب‌های بسیار زیادی به محیط‌زیست و مجامع انسانی وارد می‌کند، پدیده گردوغبار نیز به‌نوبة خود آسیب‌های جبران‌ناپذیری به محیط‌های شهری، سیستم‌های حمل‌ونقلی، سیستم تنفسی و... تحمیل می‌نماید. شناسایی کانون مستعد، اولین گام جهت کنترل و جلوگیری از رخداد چنین پدیده‌ای محسوب می‌گردد. تحقیقات مختلفی جهت شناسایی کانون‌های گردوغبار شده است، ولی در اغلب مطالعات از تصاویر کوچک‌مقیاس استفاده شده است. هدف از این تحقیق، استفاده از تصاویر متوسط مقیاس ماهواره‌ای جهت شناسایی کانون‌های محلی مستعد تولید گردوغبار است. جهت تهیه هر یک از عناصر مؤثر در تولید گردوغبار که شامل: شیب، مدل رقومی ارتفاع، کاربری اراضی، شاخص پوشش گیاهی، رطوبت خاک، شوری خاک، سرعت باد، بارش و دمای سطح زمین هستند، از سامانه گوگل ارث انجین استفاده شده است. برای وزن‌دهی عناصر از روش تحلیل سلسله‌مراتبی بهره گرفته شد. نتایج وزن­های به‌دست‌آمده برای هر یک از عناصر عبارت‌اند از: رطوبت خاک (۲۶۴/۰)، پوشش گیاهی (۲۰۸/۰)، سرعت باد (۱۵۳/۰)، بارش (۱۰۷/۰)، کاربری اراضی و شوری خاک (۰۸۱/۰)، دمای سطح زمین (۰۶۴/۰)، ارتفاع و شیب به ترتیب برابر ۰۲۴/۰ و ۰۲۰/۰ و شاخص ناسازگاری برابر ۰۱۵/۰ محاسبه شد که بیانگر میزان تناقض بین وزن­های ارائه شده عناصر نسبت به یکدیگر است که کمتر از آستانه مجاز (۱) است. به دلیل عدم وجود ایستگاه سنجش کیفیت هوا در محدوده، برای صحت‌سنجی نقشه‌های استنتاجی از محصول عمق اپتیکی هواویزها استفاده شد. نقشه نهایی نشان داد که هرچه به ارتفاعات سهند نزدیک‌تر، از وسعت کانون‌ها کاسته شده و هرچه به دریاچه نزدیک‌تر، بر وسعت کانون‌ها افزوده شده است.

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Remote Sensing and GIS Applications in Environmental Sciences
Volume 4, Issue 10
April 2024
Pages 77-48
  • Receive Date: 20 April 2024
  • Accept Date: 02 July 2024