中文摘要：

总数稳定性是土壤结构和力量的一个很重要的预言者，它影响土壤 erodibility。几个总数稳定性索引为与从中国的适度、副热带的区域对比性质估计四种土壤类型的 interrill erodibility 被选择。这研究被进行调查在水侵蚀预言工程(WEPP ) 模型的土壤 interrill erodibility 因素怎么仔细联系玷污总数稳定性。集体分数维的尺寸(FD ) ，几何吝啬的直径(GMD ) ，吝啬的重量直径(MWD ) ，和土壤总数的总数稳定性索引(ASI ) 是计算的。有可排干的斜槽的一个降雨模拟器(3.0 m 长摥椠 ? 桴 ? 慥瑳牥 ? 潣獡 ? 景匠畯桴 ? 牯慥愠摮 ? ?獢煥敵瑮祬 ? 桴 ? 畱湡楴楦慣楴湯漠 ? 潰整瑮慩? 慣'R 湯猠潴正?獡摩?牦浯戠楥杮愠瘠瑩污椠灮瑵椠?敤楳湧湩?晥楦楣湥?慭慮敧敭瑮愠摮瀠潲整瑣潩? 瑳慲整楧獥映牯琠敨敳猠慴摮s

英文摘要：

Aggregate stability is a very important predictor of soil structure and strength, which influences soil erodibility. Several aggregate stability indices were selected erodibility of four soil properties from temperate for estimating interrill types with contrasting and subtropical regions of China. This study was conducted to investigate how closely the soil interrill erodibility factor in the Water Erosion Prediction Project （WEPP） model relates to soil aggregate stability. The mass fractal dimension （FD）, geometric mean diameter （GMD）, mean weight diameter （MWD）, and aggregate stability index （ASI） of soil aggregates were calculated. A rainfall simulator with a drainable flume （3.0 m long × 1.0 m wide × 0.5 m deep） was used at four slope gradients （5°,10 °,15° and 20°）, and four rainfall intensities （0.6, 1.1, 1.7 and 2.5 mm/min）. Results indicated that the interriU erodibility （Ki） values were significantly correlated to the indices of ASI, MWD, GMD, and FD computed from the aggregate wet-sieve data. The Kihad a strong positive correlation with FD, as well as a strong negative correlation with ASI, GMD, and MWD. Soils with a higher aggregate stability and lower fractal dimension have smaller Ki values. Stable soils were characterized by a high percentage of large aggregates and the erodible soils by a high percentage of smaller aggregates. The correlation coefficients of Ki with ASI and GMD were greater than those with FD and MWD, implying that both the ASI and GMD may be better alternative parameters for empirically predicting the soil Ki factor. ASI and GMD are more reasonable in interrill soil erodibility estimation, compared with Ki calculation in original WEPP model equation. Results demonstrate the validation of soil aggregation characterization as an appropriate indicator of soil susceptibility to erosion in contrasting soil types in China.