کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6410141 1629917 2016 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The soil water characteristic as new class of closed-form parametric expressions for the flow duration curve
ترجمه فارسی عنوان
آب خاک به عنوان طبقه جدیدی از فرمول پارامترهای فرم بسته برای منحنی دوره جریان مشخص می شود
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی


- The flow duration curve (FDC) is an important signature of catchment behavior.
- We review existing FDC models and show that they not always fit well the data.
- We introduce new parametric expressions which fit well the FDCs of MOPEX data set.
- These functions build on commonly used models of the soil water characteristic.
- We evaluate and compare the regionalization potential of all FDC models.

SummaryThe flow duration curve is a signature catchment characteristic that depicts graphically the relationship between the exceedance probability of streamflow and its magnitude. This curve is relatively easy to create and interpret, and is used widely for hydrologic analysis, water quality management, and the design of hydroelectric power plants (among others). Several mathematical expressions have been proposed to mimic the FDC. Yet, these efforts have not been particularly successful, in large part because available functions are not flexible enough to portray accurately the functional shape of the FDC for a large range of catchments and contrasting hydrologic behaviors. Here, we extend the work of Vrugt and Sadegh (2013) and introduce several commonly used models of the soil water characteristic as new class of closed-form parametric expressions for the flow duration curve. These soil water retention functions are relatively simple to use, contain between two to three parameters, and mimic closely the empirical FDCs of 430 catchments of the MOPEX data set. We then relate the calibrated parameter values of these models to physical and climatological characteristics of the watershed using multivariate linear regression analysis, and evaluate the regionalization potential of our proposed models against those of the literature. If quality of fit is of main importance then the 3-parameter van Genuchten model is preferred, whereas the 2-parameter lognormal, 3-parameter GEV and generalized Pareto models show greater promise for regionalization.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 535, April 2016, Pages 438-456
نویسندگان
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