کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6380487 | 1625615 | 2016 | 44 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Regional flow duration curves: Geostatistical techniques versus multivariate regression
ترجمه فارسی عنوان
منحنی های دوره زمانی منطقه ای: تکنیک های زمین شناسی و رگرسیون چند متغیره
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کلمات کلیدی
منحنی مدت زمان جریان، بالا کریگینگ، رگرسیون خطی، پیش بینی در حوضه های ناهموار (مشکل میخانه)، تجزیه و تحلیل منطقه ای، آمار زمین شناسی جنوب شرقی ایالات متحده،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
چکیده انگلیسی
A period-of-record flow duration curve (FDC) represents the relationship between the magnitude and frequency of daily streamflows. Prediction of FDCs is of great importance for locations characterized by sparse or missing streamflow observations. We present a detailed comparison of two methods which are capable of predicting an FDC at ungauged basins: (1) an adaptation of the geostatistical method, Top-kriging, employing a linear weighted average of dimensionless empirical FDCs, standardised with a reference streamflow value; and (2) regional multiple linear regression of streamflow quantiles, perhaps the most common method for the prediction of FDCs at ungauged sites. In particular, Top-kriging relies on a metric for expressing the similarity between catchments computed as the negative deviation of the FDC from a reference streamflow value, which we termed total negative deviation (TND). Comparisons of these two methods are made in 182 largely unregulated river catchments in the southeastern U.S. using a three-fold cross-validation algorithm. Our results reveal that the two methods perform similarly throughout flow-regimes, with average Nash-Sutcliffe Efficiencies 0.566 and 0.662, (0.883 and 0.829 on log-transformed quantiles) for the geostatistical and the linear regression models, respectively. The differences between the reproduction of FDC's occurred mostly for low flows with exceedance probability (i.e. duration) above 0.98.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Water Resources - Volume 96, October 2016, Pages 11-22
Journal: Advances in Water Resources - Volume 96, October 2016, Pages 11-22
نویسندگان
Alessio Pugliese, William H Farmer, Attilio Castellarin, Stacey A. Archfield, Richard M. Vogel,