کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6410145 1629917 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling soil detachment capacity by rill flow using hydraulic parameters
ترجمه فارسی عنوان
مدل سازی ظرفیت انهدام خاک توسط جریان ریال با استفاده از پارامترهای هیدرولیکی
کلمات کلیدی
ظرفیت انهدام خاک، جریان ریل، پارامتر هیدرولیکی، لس تپه
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی


- Dc can be predicted using linear equations of hydraulic parameters except τ.
- Dc can be well predicted with V, ω, and E.
- V is a preferred hydraulic parameter for estimating Dc by rill flow.

SummaryThe relationship between soil detachment capacity (Dc) by rill flow and hydraulic parameters (e.g., flow velocity, shear stress, unit stream power, stream power, and unit energy) at low flow rates is investigated to establish an accurate experimental model. Experiments are conducted using a 4 × 0.1 m rill hydraulic flume with a constant artificial roughness on the flume bed. The flow rates range from 0.22 × 10−3 m2 s−1 to 0.67 × 10−3 m2 s−1, and the slope gradients vary from 15.8% to 38.4%. Regression analysis indicates that the Dc by rill flow can be predicted using the linear equations of flow velocity, stream power, unit stream power, and unit energy. Dc by rill flow that is fitted to shear stress can be predicted with a power function equation. Predictions based on flow velocity, unit energy, and stream power are powerful, but those based on shear stress, especially on unit stream power, are relatively poor. The prediction based on flow velocity provides the best estimates of Dc by rill flow because of the simplicity and availability of its measurements. Owing to error in measuring flow velocity at low flow rates, the predictive abilities of Dc by rill flow using all hydraulic parameters are relatively lower in this study compared with the results of previous research. The measuring accuracy of experiments for flow velocity should be improved in future research.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 535, April 2016, Pages 473-479
نویسندگان
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