مقایسه و ارزیابی روش‌های برآورد رسوب معلق با استفاده از دسته‌بندی داده‌ها (مطالعه موردی: ایستگاه‌های دوآب مرک، شیرگاه و کریکلا)

نوع مقاله: یادداشت فنی (5 صفحه)

نویسندگان

1 استادیار /گروه مهندسی آبخیزداری، دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی دانشگاه ساری، ساری، ایران.

2 کارشناس /اداره کل منابع طبیعی و آبخیزداری استان کردستان، کامیاران، موچش.

3 دانشجوی دکتری آبخیزداری/دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی دانشگاه ساری، ساری، ایران.

4 استادیار /گروه مهندسی آبخیزداری، دانشکده منابع طبیعی، دانشگاه تربیت مدرس، نور، ایران

چکیده

پژوهش حاضر به منظور مقایسه کارایی روش‌های برآورد رسوب معلق در دو ایستگاه هیدرومتری دوآب مرک و شیرگاه و کریکلا که به‌طور واضح در دو منطقه اقلیمی کاملاً متفاوت در کشور قرار دارند، انجام شده است. نتایج نشان داد که در ایستگاه دوآب مرک منحنی سنجه معمولی با استفاده از فصول هیدرواقلیمی با کم‌ترین مقدار مجذور میانگین مربعات خطا (96/700) به‌عنوان مدل بهینه معرفی گردید. در حالی‌‌که در ایستگاه‌های شیرگاه و کریکلا روش 2CF اصلاحی بر اساس تقسیم‌بندی فصول تقویمی با مقدار مجذور میانگین مربعات خطا به‌تربیب 12074/648 و 559/73 دارای عمل‌کرد بهتری بوده است. اما مدل ‌ FAO در هر سه ایستگاه و باا ستفاده از سه روش به‌کاربرده شده از کارایی بالایی برخوردار نبود. هم‌چنین مقایسه مقادیر رسوب مشاهده‌ای و برآوردی در ایستگاه شیرگاه در دسته‌بندی هیدرواقلیمی روش‌ 2CF اصلاحی با درصد اختلاف برآورد 56/9- و در ایستگاه کریکلا در روش کلی بدون دسته‌بندی داده‌ها، روش منحنی سنجه رسوب معمولی با درصد اختلاف برآورد 17/6- بهترین برآورد را ارائه نموده است. در حالی‌که در در دسته‌بندی هیدرواقلیمی و تقویمی روش‌ 2CF اصلاحی در ایستگاه کریکلا به‌ترتیب با درصد اختلاف برآورد 23/22- و 55/22- بهترین برآورد را داشته‌اند. جمع‌بندی نتایج نشان داد که تغییر منطقه اقلیمی بین ایستگاه مورد بررسی موجب تغییر مدل‌های بهینه برآورد رسوب معلق انتخابی شد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Comparison and Evaluation of Suspended Sediment Estimation Methods using Data Classification (Case of Study: Doab Mark, Shirgah and Krikla Stations)

نویسندگان [English]

  • L Gholami 1
  • J Hadi Ghoroghi 2
  • Z Abdullahi 3
  • A.v Khaledi Darvishan 4
1 Assistant Professor (Corresponding author), Department of Watershed Management, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
2 3 Total Office Expert of Natural Resources in Kurdistan Proviance, Kamiaran, Mochesh Foresty, Iran.
3 Ph.D. Student, Department of Watershed Management, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
4 Assistant Profess, Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, Noor, Iran
چکیده [English]

The present study conducted for performance comparsion of suspended sediment estimation methods to data classification method and also comparsion of abservation and estimation sediment in all methods for thre stations of Doab Merk and Shirgah and Krikla. The results showed that the normal rating curve using hydroseason introducted as optimation model in Dooab Mark stationwith the lowest root mean square error (700.96). While, the Shirgah and Krikla stations the CF2 method using calendar method had better performance with root mean square error of amount of 12074.648 and 559.73, respectively. But, FAO model had not high performance in three stations using three applied methods. Also, the compersion of estimated and observed sediment in Shirgah and Karikla stations using hydocimate and without data classification, the CF2 modified method and the normal sediment rating curve had the better estimation with different percent with different percent of -9.56% and -6.17%, respectively. While, the results showed that for the Krikla station calendar and hydroclimatic classification, the CF2 modified method had the best estimation with different percent of -22.33 and -22.55%, respectively. The conclusion showed that the changing of climate region in studied stations cased the changing of optmimal models in estimated suspended sediment.

کلیدواژه‌ها [English]

  • Calender Method
  • combinatorial method
  • Method of Climat Seasons
  • Sediment Concentration
  • Sediment and Discharge Estimation

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