دوره 10، شماره 20 - ( پاییز و زمستان 1398 )                   جلد 10 شماره 20 صفحات 144-133 | برگشت به فهرست نسخه ها


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Abdollahi S, Pourghasemi H R, Ghanbarian G A, Safaeian R. (2019). Spatial Simulation and Land-subsidence Susceptibility Mapping Using Maximum Entropy Model. J Watershed Manage Res. 10(20), 133-144. doi:10.29252/jwmr.10.20.133
URL: http://jwmr.sanru.ac.ir/article-1-924-fa.html
عبداللهی سحر، پورقاسمی حمیدرضا، قنبریان غلامعباس، صفائیان روجا. شبیه‌سازی مکانی و تهیه نقشه حساسیت فرونشست زمین با استفاده از مدل بیشینه آنتروپی پ‍‍ژوهشنامه مديريت حوزه آبخيز 1398; 10 (20) :144-133 10.29252/jwmr.10.20.133

URL: http://jwmr.sanru.ac.ir/article-1-924-fa.html


1- بخش مهندسی منابع طبیعی و محیط زیست، دانشکده کشاورزی، دانشگاه شیراز
چکیده:   (3376 مشاهده)
هدف از پژوهش حاضر شبیه‌سازی مکانی و تهیه نقشه حساسیت فرونشست زمین با استفاده از مدل‌ بیشینه آنتروپی در شهرستان‌های جیرفت و عنبرآباد است. بدین منظور ابتدا موقعیت فرونشست­ های زمین با استفاده از بازدیدهای گسترده میدانی مشخص و پس از آن نقشه پراکنش فرونشست­ زمین منطقه مورد مطالعه در محیط سامانه اطلاعات جغرافیایی (GIS) تهیه گردید. سپس هر یک از عوامل موثر بر وقوع فرونشست زمین از قبیل درصد و جهت شیب، طبقات ارتفاعی، انحنای نیم‌رخ، انحنای سطح، شاخص رطوبت توپوگرافی، فاصله از آبراهه، واحدهای سنگ‌شناسی، داده‌های پیزومتری، کاربری اراضی و شاخص تفاضلی پوشش گیاهی نرمال­شده (NDVI) در محیط GIS تهیه و بعد از آن با استفاده از روش نسبت فراوانی (FR) وزن طبقات مربوط به هر عامل مشخص شد. نهایتاً نقشه پهنه‌بندی حساسیت فرونشست زمین با استفاده از مدل­ بیشینه آنتروپی برای منطقه مورد مطالعه تهیه گردید. نتایج ارزیابی مدل­ با استفاده از 30 درصد نقاط استفاده­نشده در فرآیند شبیه‌سازی و بر اساس منحنی تشخیص عملکرد نسبی (ROC) نشان داد، نقشه­ حساسیت فرونشست زمین تهیه­شده با استفاده از مدل­ بیشینه آنتروپی صحت بالایی (859/0) دارد. بنابراین نقشه پهنه­ بندی مذکور می­تواند نقش به ­سزایی در تعیین مناطق بحرانی از نظر بهره‌برداری آب و تخریب سفره‌های آب زیرزمینی در منطقه مورد مطالعه داشته باشد.
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نوع مطالعه: پژوهشي | موضوع مقاله: بلايای طبيعی (سيل، خشکسالی و حرکت های توده ای)
دریافت: 1396/11/17 | پذیرش: 1397/6/5

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