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روشی جدید برمبنای ترکیب روش‌های آماری برای افزایش دقت نقشه‌های حساسیت به مخاطرات زمین‌لغزش (مطالعۀ موردی: استان مازندران) | ||
| مدیریت مخاطرات محیطی | ||
| دوره 8، شماره 2، شهریور 1400، صفحه 99-117 اصل مقاله (966.25 K) | ||
| نوع مقاله: پژوهشی بنیادی | ||
| شناسه دیجیتال (DOI): 10.22059/jhsci.2021.319366.629 | ||
| نویسندگان | ||
| سیدمحمدرضا اطیابی1؛ سعید نیازمردی* 2؛ رحیم علی عباسپور3 | ||
| 1دانشجوی کارشناسی ارشد سیستم اطلاعات مکانی، دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته، کرمان، ایران | ||
| 2استادیار گروه مهندسی نقشه‌برداری، دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته، کرمان، ایران | ||
| 3دانشیار دانشکدۀ مهندسی نقشه‌برداری و اطلاعات مکانی، پردیس دانشکده‌های فنی، دانشگاه تهران، تهران، ایران | ||
| چکیده | ||
| زمین‌لغزش یکی از خطرهای طبیعی است که در سراسر جهان رخ می‌دهد و هرساله سبب خسارت جانی و مالی زیادی می‌شود. کنترل و مدیریت زمین‌لغزش نقش مؤثری در کاهش خسارات آن دارد. اولین مرحله در مدیریت خطر زمین‌لغزش، شناسایی مناطق مستعد به زمین‌لغزش است که روش‌های متفاوتی برای آن ارائه شده است. ارزیابی این روش‌ها در حوزه‌های مختلف می‌تواند اطلاعات ارزشمندی در اختیار مدیران و تصمیم‌گیران قرار بدهد. در تحقیق حاضر، نقشۀ حساسیت به زمین‌لغزش برای استان مازندران با استفاده از روش‌های شاخص آماری و فاکتور اطمینان تولید شده است. همچنین به‌منظور افزایش دقت، روش‌های جدیدی با ترکیب روش شاخص آنتروپی با هر یک از روش‌های شاخص آماری و ضریب اطمینان ارائه شده‌اند. برای ارزیابی و مقایسۀ روش‌ها از اطلاعات 585 زمین‌لغزش استفاده شده که در دوره‌ای پنجاه‌ساله در استان مازندران رخ داده‌اند. پانزده عامل به‌عنوان عوامل تأثیرگذار بر رخداد زمین‌لغزش در نظر گرفته شده‌اند که خود به چهار دستۀ عوامل توپوگرافی، هیدرولوژی، محیطی و انسان‌ساخت و زمین‌شناسی تقسیم شده‌اند. نتایج بررسی‌ها نشان دادند که از بین این عوامل، عوامل دستۀ توپوگرافی بیشترین تأثیر را در رخداد زمین‌لغزش دارند. علاوه‌بر این، مقایسۀ دقت نقشه‌های حساسیت به لغزش تولیدشده با استفاده از روش‌های ترکیبی، با دقت حاصل از روش‌های شاخص آماری و ضریب اطمینان افزایشی برابر 3 و 5/3 درصد براساس شاخص سطح زیر منحنی نشان دادند. | ||
| کلیدواژه‌ها | ||
| استان مازندران؛ روش‌های آماری؛ سطح زیر منحنی؛ عوامل مؤثر در زمین‌لغزش؛ نقشۀ حساسیت به زمین‌لغزش | ||
| عنوان مقاله [English] | ||
| A novel method based on combing statistical methods for improving the accuracy of landslide susceptibility maps (case study: Mazandaran province) | ||
| نویسندگان [English] | ||
| Sayed Mohammadreza Atyabi1؛ Saeid Niazmardi2؛ Rahim Ali Abbaspour3 | ||
| 1Faculty of Civil Engineering and survey Graduate University of Advanced Technology of kerman, iran | ||
| 2department of surveying Engineering,,, Faculty of civil and surveying engineering,, graduate university of advanced technology, Kerman, Iran | ||
| 3Assistant Professor, GIS Department, School of surveying and Geospatial engineering, Engineering College, University of Tehran | ||
| چکیده [English] | ||
| Landslide is one of the natural hazards which occur worldwide and causes loss of life and property every year. Landslide risk control and management have a vital role in reducing its damage. The first step of landslide risk management is to identify areas prone to landslides, for which different methods have been proposed. Evaluating these methods can provide valuable information to managers and decision-makers. In the present study, the landslide susceptibility map of Mazandaran province was produced using statistical index and confidence factor methods. Besides, to increase the accuracy of the maps, new methods by combining the index of entropy method with each one of statistical index and confidence factor methods have been proposed. To evaluate and compare the methods, 585 landslide data that occurred in a period of 50 years in Mazandaran province have been used. Fifteen conditioning factors have been considered to have the most effects of landslide occurrence, which were divided into four categories: topographic, hydrological, environmental and man-made, and geological. The results showed that topographic factors, among the others, have the most impact on landslide occurrence. In addition, comparing the accuracy of susceptibility maps generated using hybrid methods with SI and CF methods showed an increase of 3% and 3.5% (based on urea under curve index). | ||
| کلیدواژه‌ها [English] | ||
| Landslide susceptibility map, statistical methods, conditioning factors of landslide, Area under the curve, Mazandaran province | ||
| مراجع | ||
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