تحلیل منطقه‎یی برآورد بار معلق سالانه با به کارگرفتن ویژگی‌های آبخیز در استان هرمزگان

نوع مقاله : پژوهشی

نویسندگان

1 گروه مهندسی آب، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران

2 دکتری مهندسی عمران- آب

چکیده

این پژوهش با هدف دست‌یابی به مدل‎های منطقه‎یی برآورد بار معلق سالانه در استان هرمزگان انجام شد. متغیر وابسته میانگین بار معلق سالانه‌ی زیرحوزه‎ها، و متغیرهای مستقل 21 سنجه‌ی ریخت‌شناختی و اقلیمی زیرحوزه‎ها با دوره‌ی مشترک داده‌برداری 21 سال (1390-1370) انتخاب شد، و در دو مرحله‌ی تعیین عرصه‎های همگن و استنتاج مدل‎ منطقه‎یی برای منطقه‌های همگن تحلیل شد. پس از شناختن تاثیرگذار‎ترین سنجه‌ها به‌روش تحلیل عاملی، بهترین روش خوشه‎بندی منطقه‎یی بر اساس سه حالت سنجه‌های موثر، میزان بار معلق سالانه، و مشترک (اجتماع دو حالت) با تعداد خوشه‎های متفاوت دانسته شد. معادله‌های وایازی (رگرسیونی) بین اندازه‌های بار معلق سالانه با متغیرها به روش گام‌به‌گام به‌دست آمد. داده‎های وایازی برای ارزیابی‌کردن مدل وایازی به‌دست‌آمده به‌کاررفت و مقدار معیار نش-ساتکلیف این معادله‌ها محاسبه شد. با توجه به نتیجه‌های خوشه‎بندی می‎توان گفت که داده‎های بار معلق از دو مدل منطقه‎یی تبعیت می‎کند. برای برآوردکردن بار معلق این دو منطقه معادله‎هایی با ضریب تبیین 0/78 و 0/84 داده شد. پیشنهاد می‎شود این تحقیق در حوزه‌های بیش‌تر و در شرایط مختلف جغرافیایی انجام شود تا بتوان این رابطه‌ها را برای حوزه‎های بی‌آمار بیش‌تری بهکاربرد.

کلیدواژه‌ها


عنوان مقاله [English]

Regional Suspended Load Analysis Using the Watershed Characteristics in the Province of Hormozgan

نویسندگان [English]

  • Mostafa Jafari Ashourabadi 1
  • Abdolrahim Jamal 2
1 M.Sc. Student, of Water Engineering, Sari Agricultural Sciences and Natural Resources University, Iran
2 Ph.D., of Water Engineering
چکیده [English]

The present study is aimed at estimating the suspended load discharged from watersheds in the Province of Hormozgan. The mean annual suspended loads were considered as the dependent variable and 21 parameters of morphological and climatic factors were selected as the independent parameters. The data were collected from 19 hydrometry stations for a 21-years period (1991–2011). This analysis is presented in two steps; a principal component analysis (PCA) was further applied to extract the underlying factors (principal component) and use the hierarchical clustering analysis in order to identify homogeneous groups. Multi regression was performed to identify the contribution of each variable. Different clustering scenarios were considered for selecting the optimal number of homogeneity groups, and their overall impacts on cluster validation indices were assessed. These three scenarios include dependent variable, independent parameters and the combined variables. The performance of the models was evaluated using the coefficient of determination (R2) and the Nash-Sutcliffe model efficiency. The watersheds were divided into two clusters and multiple regression models were derived for each homogenous region. Eventually, the models with coefficients of determination of 0.78 and 0.84 were used to estimate the mean annual suspended load. It is recommended to study more watersheds with different condition to reach the plurality and improve the quality of these models for estimation of the suspended load in the ungauged watersheds.

کلیدواژه‌ها [English]

  • Estimation of suspended load
  • time series
  • drainage basin
  • clustering
  • multiple regression
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