fa پهنه‌بندی حساسیت خطر زمین لغزش با استفاده از مدل نروفازی در حوزه آبخیز واز تخصصي Special پژوهشي Research <strong><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times="">در این مطالعه از مدل نروفازی برای تهیه نقشه حساسیت خطر لغزش حوزه آبخیز واز در محیط سیستم اطلاعات جغرافیایی (</span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times="">GIS</span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>) استفاده گردید. موقعیت لغزش&shy;های منطقه از طریق پایش میدانی و عکس&shy;های هوایی مشخص گردید. در مرحله بعد عوامل موثر در بروز زمین لغزش نظیر ارتفاع، سنگ&shy;شناسی، شیب، جهت، فاصله از رودخانه، فاصله از جاده، فاصله از گسل، بارندگی و کاربری اراضی رقومی گردید. سپس مناطق حساس به زمین لغزش با استفاده از یافته&shy;های سیستم استنتاجی فازی عصبی تطبیقی</span><span dir="ltr"></span><span dir="ltr"></span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" lang="FA" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="ltr"></span><span dir="ltr"></span> </span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>(</span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times="">ANFIS</span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>) در عوامل موثر بروز لغزش&shy;ها مورد ارزیابی قرار گرفت. توابع عضویت&shy;های (</span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times="">MFs</span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>) مثلثی و گوسی برای نقشه حساسیت زمین لغزش و مقایسه نتایج آنها مورد استفاده قرار گرفت. به منظور ارزیابی مدل از روش&shy;های میانگین مربعات خطا</span><span dir="ltr"></span><span dir="ltr"></span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" lang="FA" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="ltr"></span><span dir="ltr"></span> </span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>(</span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times="">RMSE</span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>) و میانگین مطلق خطا</span><span dir="ltr"></span><span dir="ltr"></span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" lang="FA" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="ltr"></span><span dir="ltr"></span> </span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>(</span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times="">MEE</span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span>) بهره گرفته شد.<font size="2"><font face="B Nazanin"><span style="mso-spacerun: yes">&nbsp; </span>نتایج نشان داد مدل </font></font></span><span 10.0pt="" 8pt="" b="" en-us="" fa="" font-size:="" mso-ansi-language:="" mso-bidi-font-family:="" mso-bidi-font-size:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" new="" roman="" style="FONT-FAMILY: " times="">ANFIS</span><span dir="rtl"></span><span dir="rtl"></span><span 10pt="" 8.0pt="" b="" dir="rtl" en-us="" fa="" font-size:="" lang="FA" mso-ansi-font-size:="" mso-ansi-language:="" mso-ascii-font-family:="" mso-bidi-language:="" mso-fareast-font-family:="" mso-fareast-language:="" mso-hansi-font-family:="" new="" roman="" style="FONT-FAMILY: " times=""><span dir="rtl"></span><span dir="rtl"></span> کارایی خوبی برای تهیه نقشه حساسیت لغزش&shy;ها داشت و ساختار عصبی- فازی با تابع عضویت گوسی بهترین کارایی را در منطقه دارا بود. نقشه خطر لغزش نشان داد مساحت مناطق با خطرپذیری بالا بیش&shy;ترین مساحت را به خود اختصاص داده که نشان&shy;دهنده خطرپذیری بالای حوزه آبخیز واز در بروز لغزش&shy;ها می&shy;باشد. </span></strong> <p>&nbsp; In this study, Neuro-Fuzzy model was used to prepare the map of Vaz watershed landslide susceptibility in GIS environment. Location of landslides occurred in the study area was determined through interpretation of aerial photographs and the field monitoring. In the next<br> step, factors affecting landslide occurrence such as altitude, lithology, slope, aspect, distance to drainage, distance to road, distance to fault, rainfall, and land use were digitized. Then, landslide susceptible areas were assessed by using ANFIS model based on factors affecting landslide<br> occurrence. For this purpose, two membership functions of triangulate and Gaussian were used to prepare landslide susceptibility map and compare their results. Two statistical criteria of RMSE and MEE were employed to evaluate model performance. The results showed high efficiency of ANFIS model for preparing landslide susceptibility map and also the ANFIS model with Gaussian membership function over-performed the ANFIS model with Triangular membership function in the study area. Landslide hazard map showed that the regions with high risk have the most area indicating high risk-taking of Vaz watershed in occurrence of landslides.</p> نروفازی, فازی, تابع عضویت, زمین لغزش, حوزه آبخیز واز Neuro-Fuzzy, Fuzzy, Membership function, Landslide, Vaz watershed 101 110 http://jwmr.sanru.ac.ir/browse.php?a_code=A-10-1-90&slc_lang=fa&sid=1 محمد زارع 10031947532846008042 10031947532846008042 Yes دانشگاه تهران علیرضا مقدم نیا 10031947532846008043 10031947532846008043 No دانشگاه تهران صادق تالی خشک 10031947532846008044 10031947532846008044 No دانشگاه علوم کشاورزی و منابع طبیعی ساری حسین سلمانی 10031947532846008045 10031947532846008045 No دانشگاه تهران