土壤可蚀性K值最优估算方法遴

发布时间：2019-04-22 12:39

【摘要】：基于EPIC公式、诺谟方程、修正诺谟方程、Torri模型和Shirazi模型5种土壤可蚀性(K值)估算方法,以降水、土壤、遥感影像和社会经济数据为基础数据,运用GIS技术,结合CSLE模型,计算安塞集水区2006—2014年土壤侵蚀量,对比相应年份输沙量监测值,遴选集水区尺度K值最优估算方法。结果表明:基于5种模型的集水区2006—2014年平均土壤侵蚀量分别为65.59、106.00、108.47、76.69和47.68 t/hm2。相较于安塞水文站相应年份的平均输沙量监测值17.73 t/hm2,按照平均绝对误差(MAE)、平均相对误差(MRE)和均方根误差(RMSE)越趋近于0,精度因子(Af)越接近于1,模型区域适用性越高的原则可知,Shirazi模型的适用性最高,其MAE、MRE和RMSE值依次为30.93、3.25和43.66,Af值为4.41;EPIC法次之,Af值为5.80;Torri模型的适用性处于中间水平;修正诺谟方程和诺谟方程的适用性最低,与实际情况相差最大,Af值分别为7.99和7.88。因此,相对于其他4种方法而言,Shirazi模型在研究区具有最佳的适用性,在未来集水区尺度土壤可蚀性K值估算乃至土壤侵蚀评价工作中,应优先选用基于几何平均粒径的Shirazi模型。
[Abstract]:Based on EPIC formula, Noomu equation, modified Noomu equation, Torri model and Shirazi model, the soil erodibility (K value) estimation method is based on precipitation, soil, remote sensing image and socio-economic data. GIS technique and CSLE model are used to estimate the soil erodibility (K value), which is based on precipitation, soil, remote sensing image and socio-economic data. The amount of soil erosion in Ansai catchment area from 2006 to 2014 is calculated. The monitoring values of sediment transport in the corresponding year are compared and the optimal estimation method of K value in catchment scale is selected. The results showed that the average soil erosion in the catchment from 2006 to 2014 was 65.59106.00108.47, 76.69 and 47.68 t / hm ~ 2, respectively. Compared with the average sediment transport monitoring value of 17.73 t / hm ~ 2 in Ansai Hydrological Station in the corresponding year, according to the average absolute error (MAE), mean relative error (MRE) and root mean square error (RMSE), the more close to 0, the more accurate factor (Af) is. The higher the regional applicability of the model is, the higher the applicability of the Shirazi model is, with the MAE,MRE and RMS values of 30.93, 3.25 and 43.66, respectively, and the Afvalue of 4.41; The applicability of the modified Normo equation and the Nomu equation is the lowest, which is 7.99 and 7.88, respectively. The EPIC method takes the second place, and the applicability of the modified Normo equation and the Nomu equation is in the middle level, with the Afvalue of 5.80 and the Nomu equation being the lowest, respectively. Therefore, compared with the other four methods, Shirazi model has the best applicability in the study area, in the future watershed scale soil erodibility K value estimation and even soil erosion evaluation work. The Shirazi model based on geometric mean particle size should be preferred.
【作者单位】：北京师范大学地理科学学部地表过程与资源生态国家重点实验室;北京师范大学地理科学学部陆地表层系统科学与可持续发展研究院;
【基金】：国家重点研发计划子课题”生态修复的流域侵蚀产沙调控与尺度效应”(2016YFC0501604)
【分类号】：S157.1

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