تعیین مناسب‏ترین روش منحنی سنجه و مقایسة آن با شبکة عصبی مصنوعی به منظور برآورد رسوبات معلق (مطالعة موردی: استان لرستان)

نوع مقاله: مقاله پژوهشی

نویسندگان

1 کارشناس‌ارشد آبخیزداری، دانشکدة منابع طبیعی و کویرشناسی، دانشگاه یزد، ایران

2 عضو هیئت‌علمی دانشکدة کشاورزی دانشگاه پیام نور، ایران

چکیده

برآورد میزان رسوبات معلق در رودخانه‏ها از ابعاد مختلف کشاورزی، حفاظت خاک، سد‌سازی، حیات آبزیان، و همچنین جنبه‏های مختلف تحقیقاتی اهمیت فراوانی دارد. روش‏های مختلفی برای بررسی و برآورد رسوبات معلق رودخانه‏ها وجود دارد که البته توانایی این روش‏ها در برآورد رسوبات متفاوت است. هدف از این مطالعه برآورد رسوبات معلق رودخانه با استفاده از شبکة عصبی پیش‌خور پس‌انتشار خطا با الگوریتم آموزشی لونبرگ‌- مارکوآرت و مقایسة نتایج با بهترین ترکیب منحنی سنجة رسوب و ضرایب اصلاحی است. در این مطالعه از آمار دبی و رسوب متناظر ده ایستگاه استان لرستان به صورت روزانه، ماهانه، فصلی، و دسته‌بندی‌شده استفاده شد. نتایج نشان داد از بین انواع مختلف منحنی سنجه و ضرایب اصلاحی استفاده‌شده، که جمعاً شامل بیست ترکیب بود، ترکیب منحنی سنجة ماهانه و ضریب اصلاحی MUVE بر اساس ضریب ناش- ساتکلیف و شاخص دقت مناسب‌تر است. در مرحلة بعد، نتایج حاصل از برآورد رسوب با مناسب‌ترین منحنی سنجه با نتایج حاصل از شبکة عصبی با استفاده از ضریب ناش- ساتکلیف و مجذور میانگین مربعات خطا مقایسه شد. نتایج نشان‌دهندة مناسب‌بودن شبکة عصبی پیش‌خور پس‌انتشار خطا در قیاس با منحنی سنجة رسوب است.

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