ارزیابی عملکرد روش پردازش تصویر در تخمین ضریب زبری مانینگ در لایه سطحی بستر رودخانه‌ها

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانش آموخته کارشناسی ارشد

2 دانشگاه بین المللی امام خمینی-قزوین-دانشکده فنی و مهندسی- گروه مهندسی آب

3 عضو هیات علمی گروه مهندسی آب

چکیده

با توجه به اهمیت برآورد مناسب ضریب زبری در مطالعات مهندسی رودخانه، در تحقیق حاضر به ارزیابی روش پردازش تصویر در تخمین ضریب زبری مانینگ لایه سطحی بستر رودخانه‌ها پرداخته شده است. ارزیابی روش مزبور در بازه‌ای 5/7 کیلومتری از رودخانه شلمان‌رود گیلان با کاربرد هم‌زمان روش‌های دانه‌بندی با الک و پردازش تصاویر دیجیتال صورت گرفته است. پردازش تصاویر تهیه‌شده از بستر رودخانه حاکی از آن است که این روش از دقت بسیار بالایی در برآورد اندازه ذرات رسوبی (ذرات دارای اندازه 50d و بزرگتر) برخوردار بوده و می‌تواند به‌منظور تخمین ضریب زبری مانینگ ذرات رسوبی بستر از طریق روابط تجربی موجود، مورد استفاده قرار گیرد. برای ارزیابی نتایج روش پردازش تصویر در تخمین ضرایب مانینگ، از شبیه‌سازی جریان یک‌بعدی ماندگار توسط مدل هیدرولیکی Hec-Ras استفاده گردید و مدل در قالب سناریوهای مختلف اجرا شد. درنهایت، مقایسه مشخصه‌های هیدرولیکی به‌دست‌آمده در مقاطع موردبررسی، نسبت به نتایج روش Cowan نشان داد که رابطه تجربی 90Bray-d با حداکثر اختلاف نسبی عرض سطح آب به میزان 7/13%، در برآورد ضرایب زبری مانینگ در سطح بستر رودخانه بهترین کارایی را خواهد داشت.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of Image Processing Technique in Estimating the Manning’s Roughness Coefficient in the Surface Layer of Riverbeds

نویسندگان [English]

  • Farzam Hassannezhad Sharifi 1
  • Amir Samadi 2
  • Asghar Azizian Ghatar 3
چکیده [English]

Considering the importance of adequate roughness coefficient estimation in river engineering studies, evaluation of image processing technique in estimating Manning’s roughness coefficient in the surface layer of riverbeds carried out in this study. The mentioned approach evaluation conducted by implementing of sieving analysis and digital image processing methods simultaneously for a 7.5km reach of Shalmanrood River of Gilan. The processing of captured images signifies that this technique has an excellent accuracy in estimating the size of sediment particles (particles with a size of d50 or larger) and can be used to estimate Manning’s roughness coefficient of sediment particles of riverbed, utilizing the given empirical formulas. To evaluate the image processing results in estimating Manning’s coefficient values, one-dimensional modeling by HEC-RAS Hydraulic model was used and the model was conducted through different scenarios. Finally, on given cross sections, the comparison of output hydraulic properties with respect to Cowan’s method results showed that Bray’s empirical formula (d90) will have the best efficiency in estimating the Manning’s roughness coefficients in the surface of riverbed, with a maximum relative difference of 13.7% in top width.

کلیدواژه‌ها [English]

  • Surface particles
  • image processing
  • Manning’s roughness coefficient
  • Cowan’s method
  • HEC-RAS
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