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紫色土区WEPP模型不同预测参数组合模拟的分析与评价 被引量:1

Analysis and Evaluation of WEPP Model Prediction Parameters Simulation in Purple Soil Area
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摘要 利用WEPP模型对不同参数组合模拟下土壤侵蚀实测值与预测值的合理性进行分析与评价.为紫色土区多年侵蚀的预测提供相关参数参考,进而科学有效地指导该区水土保持措施的合理布局与配置,对减轻紫色土坡耕地水土流失具有重要意义.通过不同预测参数组合模拟下,产流产沙量预测值与实测值的模型有效性系数ME、标准差以及Pearson相关系数等指标的对比分析,结果表明:(1)利用计算输入建立土壤参数下获得的预测结果要好于模型自动生成方式下的预测结果;(2)单次降雨侵蚀对产流产沙量的预测结果是合理的,现有WEPP模型对紫色土区水蚀的预测效果也是满足要求的;(3)WEPP模型模拟预测产流量相对于模拟预测产沙量更准确,且10°小区预测效果明显好于15°小区,同为15°农耕地小区预测效果远远好于林地小区. Providing forecast parameters of erosion in the purple soil area for years and thus scientifically and effectively guiding the rational distribution and configuration of the area of soil and water conservation measures and alleviating soil erosion of the purple soil slope farmland is of significant importance. In the present study, based on the water erosion prediction project (WEPP) model simulation under different parameter combinations, the reasonableness of measured and predicted values of soil erosion was analyzed and evaluated. A comparative analysis was made of the validity coefficient ME, standard deviation and Pearson correlation coefficient of the predicted and measured values of the amount of runoff and sediment yield under different forecast parameter combinations. The prediction results obtained by establishment of soil parameters through calculated input were better than those obtained by the automatic generation model. The forecast of single rainfall erosion on the amount of runoff and sediment yield was reasonable, and the predicted effect of the existing WEPP model of purple soil erosion also met the requirements. The WEPP model predicted runoff more accurately than sediment yield, and 10°plots forecast was significantly better than the 15° cell, while the 15° agricultural land plot prediction was far better than the woodland plot.
出处 《西南大学学报(自然科学版)》 CAS CSCD 北大核心 2013年第11期118-126,共9页 Journal of Southwest University(Natural Science Edition)
基金 国家自然科学基金资助项目"紫色土地区土壤侵蚀参数因子的试验模拟确定和误差校正"项目(40671115)
关键词 紫色土区 WEPP模型 预测结果 评价 purple soil WEPP forecast model prediction result evaluate
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