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2002•Bulletin of Soil and Water ConservationRequires access

Application of Runoff Curve Number Method on Loess Plateau

Luo Li

Open publisher page 5 citations

Abstract

Overland runoff is the primary force leading to soil erosion. Estimating runoff is a key step to predict the amount of soil and water loss and evaluate the efficiency of soil and water conservation practices. Runoff curve number method, an empirical model to estimate the storm runoff, was developed by USDA SCS. The curve number method is simple and predictable, especially for ungauged catchments. The purpose of this paper is to present the principle of the method, calculate the C N on the basis of data from 25 differently covered unit plots on the loess plateau, and to analyze the relationship between C N and its relevant factors. At last, the predictive efficiency of the method is assessed.

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What this paper is about

Overland runoff is the primary force leading to soil erosion. Estimating runoff is a key step to predict the amount of soil and water loss and evaluate the efficiency of soil and water conservation practices. Runoff curve number method, an empirical model to estimate the storm runoff, was developed by USDA SCS. The curve number method is simple and predictable, especially for ungauged catchments. The purpose of this paper is to present the principle of the method, calculate the C N on the basis of data from 25 differently covered unit plots on the loess plateau, and to analyze the relationship between C N and its relevant factors. At last, the predictive efficiency of the method is assessed.

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Available abstract

Overland runoff is the primary force leading to soil erosion. Estimating runoff is a key step to predict the amount of soil and water loss and evaluate the efficiency of soil and water conservation practices. Runoff curve number method, an empirical model to estimate the storm runoff, was developed by USDA SCS. The curve number method is simple and predictable, especially for ungauged catchments. The purpose of this paper is to present the principle of the method, calculate the C N on the basis of data from 25 differently covered unit plots on the loess plateau, and to analyze the relationship between C N and its relevant factors. At last, the predictive efficiency of the method is assessed.

Key concepts: Surface runoff, Runoff curve number, Loess plateau, Soil conservation, Environmental science, Loess, Runoff model, Hydrology (agriculture)

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