Evaluation of the CREAMS model. 4. Derivation of interrill erodibility parameters from laboratory rainfall simulator data and prediction of soil loss under a field rainulator using the derived parameters

Author:

Evans KG,Loch RJ,Silburn DM,Aspinall TO,Bell LC

Abstract

This study investigated the use of laboratory rainfall simulator data for the derivation of CREAMS (chemicals runoff, and Erosion from Agricultural Management Systems) interrill erodibility parameters K and nbov. The laboratory rainfall simulator method of collecting erosion data was validated using the surface of an Irving clay (black earth). Reliable CREAMS K and nbov values for this Irving clay had previously been determined from field rainulator data. In this study, CREAMS erodibility parameters were derived for the same soil type using laboratory rainfall simulator data. The values of these parameters fell within the 90% confidence region for parameters derived from non-rilled field rainulator plots. Both nbov and K, determined from laboratory data, varied with slope, indicating that the slope gradient response predicted by CREAMS may not be applicable for interrill erosion on short, steep slopes. For slopes < 8%, a default value of nbov = 0.01 with K = 0.37 (English units) gave good predictions of observed soil losses. However, for slopes > 8%, there was an over-prediction of observed soil loss up to 60% when these parameter values were used. The data indicate that for predictions of interrill soil loss from steeper slopes, nbov and K values should be adjusted to achieve greater accuracy. When values of K = 0.37 and nbov = 0.01 were used with field data obtained from a site with a slope of 4%, predicted interrill soil losses correlated well with both the estimated interrill component of measured field soil losses and observed soil losses from interrill field plots. It is concluded that the laboratory rainfall simulator used in this study produces hydrology and erosion data that can be used to derive realistic CREAMS parameters for interrill erosion.

Publisher

CSIRO Publishing

Subject

Earth-Surface Processes,Soil Science,Environmental Science (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3