The relationships between erodibility and erosion in a soil treated with two organic amendments

The influence of two organic wastes, cotton gin crushed compost (CC) and beet vinasse (BV) applied for 5 years on a Typic Xerofluvent under dryland conditions near to Sevilla city (Guadalquivir River Valley, Andalusia, Spain) on soil erodibility (K factor of the USLE and RUSLE) and soil loss was studied. CC and BV were applied at rates of 1780, 5340, and 10,680 kg ha⁻¹ (expressed as organic matter content). When CC was applied to the soil, erodibility factor (K) is correlated with soil loss, highlighting a decrease in K and soil loss when increased the dose of CC applied to the soil. In this respect, K decreased 17% in CC-amended soils respect to control soil at the end of the experiment, and soil loss decreased 36% in CC-amended soils respect to control soil at the end of the experiment and for 45 min and 60 mm h⁻¹. However, when BV was applied, soil physical and biological properties decreased. K decreased 6.4% in BV-amended soils respect to control soil at the end of the experiment, and soil loss increased 59.7% in BV-amended soils respect to control soil at the end of the experimental period and for 45 min and 60 mm h⁻¹. We think that this is because the higher level of Na⁺ (and possibly of fulvic acids) in BV increased the exchangeable sodium percentage (ESP) and reduced structural stability of BV-amended soil, leading to higher soil loss. This explains the relatively higher soil loss in BV-amended soils. These results contradict many previous reports in which soil organic matter prevented soil loss. For this reason, the equation of soil erodibility (K factor of USLE and RUSLE) must have in consideration other aspects such as the chemical composition of the soil organic matter as well as the soil structural stability.     

黄土高原不同地貌类型区降雨侵蚀力时空特征研究

通用土壤流失方程USLE是迄今为止较为成熟,应用较广的土壤侵蚀预报模型,区域降雨侵蚀力R及其分布特征是将USLE应用于较大地区的关键.以日降雨量计算侵蚀力模型为基础,建立了黄土高原月降雨量计算降雨侵蚀力模型.用黄土高原235个气象站点1971-2000年30 a的月降雨量数据,计算得各站点的时间序列月降雨侵蚀力和年降雨侵蚀力,通过Kriging空间插值方法生成降雨侵蚀力时空分布栅格图像,并分析了不同地貌类型区降雨侵蚀力的时空特征.黄土高原降雨侵蚀力空间分布从东南到西北呈梯度递减趋势,范围在300～7 500,平均不到3 000,不同地貌类型区从大到小依次为土石山区、丘陵沟壑区(延安)、高塬沟壑区、丘陵沟壑区(榆林)、丘陵区(陇西);降雨侵蚀力年内分布主要集中于7,8两月,年际变化上存在一个2.7 a的波动周期,波动范围在多年平均值的1倍以上,不同地区相差较大.     

黄土高原坡耕地的细沟侵蚀及其防治途径

陕北典型黄土丘陵沟壑区的定位观测、野外调查和室内一系列人工降雨试验资料,表明了细沟侵蚀量占坡面侵蚀量的70%。而细沟侵蚀的发生是在坡面股流的流程上,当径流侵蚀力增大到足以冲刷土块,形成小跌水,进而演化为细沟下切沟头时,细沟侵蚀就开始发生了。下切沟头的下切侵蚀和下切沟头间径流对沟底的冲刷、沟头的溯源侵蚀、沟壁的崩塌形成了断续细沟,而位于一条股流流程上多个断续沟头溯源侵蚀的连接就形成了连续细沟。在这个过程中。由于降雨径流侵蚀力和土壤抗侵蚀力在时空上的强弱对比关系,出现了细沟的分叉、合并及连通现象。所有这些过程不但促进了细沟的发展,而且也造成了严重的细沟侵蚀。降雨径流侵蚀力。土壤抗侵蚀性能,坡度、坡长、坡形和土地管理因素是影响细沟侵蚀的主要因素。因此。防治细沟侵蚀的关键是削弱降雨径流侵蚀力和提高土壤的抗侵蚀性能。而免耕留茬、覆盖、草粮带状间作、水平沟种植及土地的合理利用是防治细沟侵蚀行之有效的措施。     

Modification of a rainfall simulation procedure at runoff plots for soil erosion investigation

A modification of a rainfall simulation procedure at runoff plots for the study of erosion is suggested. It is based on the (1) physically substantiated erosion parameter of simulated rainfall A, (2) the new erosion index for natural rains AI derived from the erosion parameter A, and (3) USLE and RUSLE equations. To simplify the testing procedure and interpretation of the measured data, we use rainfall of permanent intensity I, drop size, and rainfall velocity V. To study the influence of any factor (or their combination) on the soil loss, the experiment was performed at several runoff plots, one of which was a control (fallow soil, and soil tillage performed along the slope). According to the measurement results, a graph of the dependence between the cumulative soil loss and the AI index was compiled that fits the linear regression equation. Thus, the derived equations are also valid for natural rains. The critical values of AI _cr upon which the runoff and soil loss start are determined from these equations. The soil erodibility factor is calculated from the equation obtained for the control plot using the relief factor of the RUSLE equation. The influence of the studied factors on soil erosion is assessed from the comparison of equations obtained for the appropriate sites and the control. Upon the infiltration study, the water discharge is measured until its stabilization, when the steady infiltration velocity is reached. The following investigation results are cited as examples: (1) the influence of the initial soil moisture, the soil mulching with straw, and the plant cover on the soil loss; (2) application of the obtained experimental data for assessing the average annual soil loss from natural rains; and (3) the relationship between the infiltration and the rainfall erosivity index AI.     

北约旦地区降水侵蚀因子的近似估算研究

Despite being in arid and semi-arid areas, erosion is largely a result of infrequent but heavy rainfall events; therefore, rainfall erosivity data can be used as an indicator of potential erosion risks. The purpose of this study was to investigate the spatial distribution of annual rainfall erosivity in North Jordan. A simplified procedure was used to correlate erosivity factor R values in both the universal soil loss equation (USLE) and the revised universal soil loss equation (RUSLE) with annual rainfall amount or modified Fournier index (F_mod). Pluviometric data recorded at 18 weather stations covering North Jordan were used to predict R values. The annual values of erosivity ranged between 86-779 MJ mm ha^-1 h^-1 year^-1. The northwest regions of Jordan showed the highest annual erosivity values, while the northeastern regions showed the lowest annual erosivity values.     

Applying the USLE Family of Models at the Sparacia (South Italy) Experimental Site

Soil erosion is a key process to understand the land degradation, and modelling of soil erosion will help to understand the process and to foresee its impacts. The applicability of the Universal Soil Loss Equation (USLE) at event scale is affected by the fact that USLE rainfall erosivity factor does not take into account runoff explicitly. USLE‐M and USLE‐MM, including the effect of runoff in the event rainfall–runoff erosivity factor, are characterized by a better capacity to predict event soil loss. The specific objectives of this paper were (i) to determine the suitable parameterization of USLE, USLE‐M and USLE‐MM by using the dataseries of Sparacia experimental site and (ii) to evaluate their performances at both event and annual scale. The measurements allowed to establish the relationships for calculating the factors of USLE, USLE‐M and USLE‐MM usable at the Sparacia experimental area. At first, for slope‐length values greater than 33 m, the calibration of USLE model at event scale pointed out that sediment delivery processes, that is processes involving deposition of the transported eroded soil particles, occur. The analysis showed that USLE and USLE‐M tend to overestimate low event soil losses, while for USLE‐MM, this tendency is less pronounced. However, the USLE‐MM performed better than USLE and USLE‐M and was able to reproduce better than other two models the highest soil loss values that are the most interesting from a practical point of view. The results obtained at annual scale were generally consistent with those obtained at event scale. Copyright © 2016 John Wiley & Sons, Ltd.     

不同土壤抗蚀性能研究

该对四川省农业科学院资阳水土保持试验所布设的７种土壤试验小区，用模拟降雨装置进行了土壤抗蚀性能的初步试验研究，结果表明：（１）７种土壤的抗蚀能力大小依次为：冷沙黄泥＞棕紫泥＞红棕紫泥＞灰色潮土＞红紫泥＞黄红紫泥＞暗棕紫泥；（２）７种土壤的么径流过程累积量与降雨历时、产沙过程累积量与降雨历时，径流过程累积量与产沙过程累积量之间均有显的线性相关关系，以及６种土壤的土壤含水量与开始产流时间之间有非常     

Soil properties influencing erodibility of soils in the Ntabelanga area,Eastern Cape Province,South Africa

Soil erosion has serious off-site impacts caused by increased mobilization of sediment and delivery to water bodies causing siltation and pollution. To evaluate factors influencing soil erodibility at a proposed dam site, 21 soil samples collected were characterized. The soils were analyzed for soil organic carbon (SOC), exchangeable bases, exchangeable acidity, pH, electrical conductivities, mean weight diameter and soil particles’ size distribution. Cation exchange capacity, exchangeable sodium percentage, sodium adsorption ratio, dispersion ratio (DR), clay flocculation index (CFI), clay dispersion ratio (CDR) and Ca:Mg ratio were then calculated. Soil erodibility (K-factor) estimates were determined using SOC content and surface soil properties. Soil loss rates by splashing were determined under rainfall simulations at 360?mmh^?1 rainfall intensity. Soil loss was correlated to the measured chemical and physical soil properties. There were variations in soil form properties and erodibility indices showing influence on soil loss. The average soil erodibility and SOC values were 0.0734?t?MJ^?1?mm^?1 and 0.81%, respectively. SOC decreased with depth and soil loss increased with a decrease in SOC content. SOC significantly influenced soil loss, CDR, CFI and DR (P??1. Addition of organic matter stabilize the soils against erosion.     

1901—2016年黄土高原降雨侵蚀力时空变化

为了研究横跨20世纪的百年尺度黄土高原降雨侵蚀力时空变化,该文首先验证了CHELSAcrust数据集的精度,并基于该数据集估算了黄土高原1901—2016年逐月降雨侵蚀力,最后分析了降雨侵蚀力的时空变化特征。结果表明:(1)CHELSAcrust数据集精度较高(Nash=0.79; R²=0.82),满足本文分析需求;(2)1901—2016年黄土高原年均降雨侵蚀力东南高、西北低,各地理分区降雨侵蚀力中,土石山区>河谷平原区>丘陵沟壑区>高原沟壑区>沙地沙漠区>农灌区。降雨侵蚀力显著变化区域集中于黄土高原中部地区,非显著变化区域分布在边缘地区;(3)1901—2016年黄土高原降雨侵蚀力变化不显著且无明显突变点,可划分为1901—1930年、1930—1980年和1980—2016年3个阶段;(4)黄土高原地区降雨侵蚀力变化存在周期性规律,2.62 a变化周期最显著,且变化周期与气候要素的波动周期基本一致。结果显示1901—2016年黄土高原降雨侵蚀力变化并不显著且存在周期性规律,其空间分布存在明显差异。     

Converting USLE soil erodibilities for use with the QREI30 index

Changing the basis of the R factor in the Universal Soil Loss Equation (USLE) to one based on the Q_REI₃₀ index results in the need to calculate new soil erodibilities for use in the modified version (MUSLE-II). This paper provides a formula for calculating first approximations for the new soil erodibilities from known USLE soil erodibilities when data from runoff and soil loss plots associated with the determination of these USLE soil erodibilities are available.     

基于RS和GIS技术对中国陕西省北部地区土壤水蚀风险评估

运用遥感(RS)和地理信息系统(GIS)技术来进行中国陕西省北部地区的土壤水蚀风险评估。综合运用RS和(31S技术以及修订的通用土壤流失方程式(简称RusLE)来定量化地评估土壤侵蚀。建立了一个关于土壤侵蚀、斜坡长度/坡度、降雨侵蚀和人类活动的评估系统。评估值输入修订的世界土壤亏损方程式中，用来计算土壤退化进程的风险，土壤退化又叫土壤侵蚀。利用榆林和靖边两地区的1987年和1999年的陆地卫星TM传感图像来制作研究区土地使用/覆盖情况的地图，然后用这些地图产生RusLE方程中的人类活动因子。使用ERmapper/Info两个软件来管理和处理主要数据，及处理卫星图像和表格数据源。根据统计分析，3985．9km^2(33．12％)的土地面积有轻微到中度的土壤侵蚀，2941．4km^2(24．44％)的土地面积有高的土壤侵蚀，总土地面积中3522．1km^2(29．27％)正面临着很高的土壤侵蚀风险，总体上来说，研究区处于高的土壤水蚀风险中。     

黄土高原降雨侵蚀力时空分布

降雨侵蚀力时空分布规律定量研究是进行土壤侵蚀预报的基础。利用231个气象站多年平均年雨量资料估算了黄土高原地区多年平均降雨侵蚀力,并绘制了等值线图。利用17个气象站日雨量和日雨强资料估算了半月降雨侵蚀力及其年内分配特征。全区降雨侵蚀力变化于327~4416MJ.mm/(hm2.h.a)之间,等值线图显示降雨侵蚀力的空间分布与年降水量的空间分布规律十分相似,大致从东南向西北递减。半月降雨侵蚀力占年侵蚀力的累积频率表,为估算土壤侵蚀方程中土壤可蚀性因子和植被覆盖—管理因子提供了基础。侵蚀力年内分配集中度指标反映出黄土高原R值年内分配集中度很高,且多集中在6—9月,集中度最大的达96.4%,最小的也有66.9%。     

陕西省耕地土壤可蚀性因子

[目的]土壤可蚀性因子是计算土壤侵蚀的一个重要因子,对陕西省耕地土壤可蚀性因子展开研究,可为陕西地区的耕地土壤侵蚀计算及评价提供科学依据。[方法]以陕西省9个地区的耕地土壤实测数据为基础,利用通用土壤流失方程USLE(universal soil loss equation)、修订土壤流失方程RUSLE2(revised universal soil loss equation version 2)、侵蚀生产力影响模型EPIC(erosion productivity impact calculator)中可蚀性因子K值的计算公式以及几何平均粒径公式和几何平均粒径—有机质Dg-OM公式,计算不同耕地土壤质地条件下的土壤可蚀性因子。[结果]RUSLE2的极细砂粒转换公式在陕西黄土丘陵沟壑区平均低约14.53%,在陕南地区平均高约32.91%,使用修正公式后平均误差分别为7.81%和13.14%;对比分析K值的估算值与实测值,子洲县实测K值为0.002 69〔(t·hm2·h)/(hm2·MJ·mm)〕,Dg-OM模拟计算均值为0.0297〔(t·hm2·h)/(hm2·MJ·mm)〕;水蚀预报模型WEPP(water erosion prediction project)中的细沟间可蚀性(Ki)和细沟可蚀性(Kr),与USLE的K值相关系数分别为0.738 6和0.607 4。[结论]极细砂粒转换修正公式的计算误差小于RUSLE2模型;Dg-OM模型适合陕西黄土丘陵沟壑区及长武县、杨凌区和安康市典型耕地土壤;WEPP中Ki和Kr,当土壤砂粒含量小于30%,USLE的K值与WEPP的Ki和Kr值有强相关性。     

Soil management effects on runoff and soil loss from field rainfall simulation

Soil erosion from agricultural lands is a serious problem on the Chinese Loess Plateau. In total, 28 field rainfall simulations were carried on loamy soils under different management practices, namely conventional tillage (CT), no till with mulch (NTM), reduced tillage (RT), subsoiling with mulch (SSM), subsoiling without mulch (SS), and two crops per year (TC), to investigate (i) the effects of different soil management practices on runoff sediment and (ii) the temporal change of runoff discharge rate and sediment concentration under different initial soil moisture conditions (i.e. initially dry soil surface, and wet surface) and rainfall intensity (85 and 170 mm h^− 1) in the Chinese Loess Plateau. NTM was the best alternative in terms of soil erosion control. SSM reduced soil loss by more than 85% in 2002 compared to CT, and its effects on runoff reduction became more pronounced after 4 years consecutive implementation. SS also reduced considerably the runoff and soil loss, but not as pronounced as SSM. TC resulted in a significant runoff reduction (more than 92%) compared to CT in the initial ‘dry’ soil, but this effect was strongly reduced in the initial ‘wet’ soil. Temporal change of runoff discharge rate and sediment concentration showed a large variation between the different treatments. In conclusion, NTM is the most favorable tillage practices in terms of soil and water conservation in the Chinese Loess Plateau. SSM can be regarded as a promising measure to improve soil and water conservation considering its beneficial effect on winter wheat yield.     

Selection of soil physical quality indicators in relation to soil erodibility

Soil quality indices based on soil characteristics can be used to assess the sustainability of soil and to assist in soil management decisions. Principal component analysis (PCA) technique was used to identify dominant soil characteristics in relation to soil erodibility in watersheds of submontane Punjab (India). Soil physical and chemical characteristics were evaluated for four locations with four land uses at each location whereas runoff, soil loss and soil erodibility were determined at two locations under natural rainfall conditions and at four locations under simulated rainfall conditions. PCA was performed on 22 physical and chemical soil characteristics, which grouped these soil characteristics into five distinct principal components (PCs). These five PCs namely soil hydraulic factor, density factor, structural factor, sand factor and cation factor, explained 86% variability in data. These PCs also explained 86, 96 and 93% variability under natural rainfall conditions and 75, 76 and 77% variability under simulated rainfall conditions in relation to runoff, soil loss and soil erodibility, respectively. Soil total organic carbon content can be considered as dynamic soil physical quality indicator and can be used to monitor temporal and spatial changes in soil quality.     

径流曲线法在黄土区小流域地表径流预测中的初步应用

径流曲线法是目前国际上预测无径流观测资料地区降水地表产流的主要模型,由于气候、水文及下垫面的差异,在黄土高原地区的应用受到限制。利用黄土高原地区3个小流域的303场降雨径流资料,针对黄土高原降雨地表径流特点优化模型中的初损率λ,并提出降雨强度修正函数,将降雨强度因子引入径流曲线法。优化后的模型效率E达到0．812,实测径流深与预测径流深的线性回归决定系数R2达到0．822。改进后的SCS．CN模型可用于黄土区小流域降雨地表产流预报,对黄土高原无资料地区侵蚀产流预报、指导水土保持工程配置和设计具有重要的理论和工程实践意义。     

基于GIS和RUSLE的黄土高原小流域土壤侵蚀评估

对基于上坡汇流面积的坡长因子算法进行改进,提出考虑上坡土地利用/覆盖对汇流影响的坡长因子算法,运用GIS和RUSLE评估黄土高原四面窑沟流域的土壤侵蚀强度及其与环境因素的关系。结果表明,流域多年平均侵蚀强度 4 399.79 t/(km2·a),属中度侵蚀;侵蚀强度和侵蚀量均随坡度增加而显著增加,80.59%的侵蚀量来源于占流域总面积59.06%的25°以上坡度带;不同坡向的侵蚀强度表现为正阳坡＞半阳坡＞半阴坡＞正阴坡,其中,占总面积45.07%的阳坡产生56.50%的侵蚀量;不同土地利用类型中,占总面积57.07%的草地产生96.37%的侵蚀量,成为目前流域内主要侵蚀产沙源。研究为应用修正通用土壤流失方程在黄土高原进行侵蚀评估提供技术范例,为该区侵蚀防治和水土资源利用提供有益参考。     

北京市土壤侵蚀监测方法探讨

 为了科学定量评价北京市土壤侵蚀状况,通过北京市地面水土流失监测网络,开展水土流失定点观测,研究北京市土壤侵蚀监测的评价方法。结果表明：利用大量实测资料,基于美国通用土壤流失方程建立的北京土壤流失方程,可以作为北京市土壤侵蚀调查的模型工具;基T GIS和降雨侵蚀力模型的年度土壤侵蚀量推算方法,可作为从小区尺度转换到区域尺度的一种方法;由于网格法没有考虑水土保持措施因子,调查得到的土壤侵蚀量结果比采用抽样调查法得到的结果偏大。北京市土壤侵蚀监测方法的研究可为区域水土流失定量评价和动态监测提供借鉴作用。     

Erosion processes and erodibility of cultivated soils in North Rhine‐Westphalia under artificial rain. I. Site characteristics and results of laboratory experiments

Soil erosion by water causes substantial on‐site degradation and off‐site damages in the densely populated state of North Rhine‐Westphalia (Germany). Measures of soil conservation should be adjusted to soil erodibilities and should be based on an understanding of the processes involved in water erosion including aggregate breakdown, rainsplash erosion, surface sealing, and soil loss. For a state‐wide assessment of erosion processes and erodibilities, we tested representative cultivated soils of North Rhine‐Westphalia in laboratory and field experiments with artificial rain. In the laboratory experiments described in this paper, rainsplash erosion, sealing susceptibility, and interrill erodibility of 25 topsoils filled in 0.5 m² boxes were investigated. Results of different aggregate‐stability tests correlate with organic‐matter contents but not with parameters of rainsplash or soil loss. On most soil materials, rainsplash increases or maintains constant rates in the course of the simulation runs indicating that the soil surface did not attain a higher shear resistance. High sealing susceptibilities are found for soils of quite different textures ranging from loam sand to silt clay, whereas other silt clays, clay loams, and some clay silts maintain high infiltration rates. A trend of increasing sealing susceptibility and total soil loss with increasing clay content is observed for the loam sands to sand loams. Dynamics of soil loss is largely governed by runoff rates. Total soil loss is also determined by sediment concentration in surface runoff, which is low on most clayey soils, on loam sands poor in clay, and on a sand loam, and high in the case of highly erodible clay silts, loam sands, and sand loams. The most crust prone soils are not necessarily the most erodible. On most soils, soil‐loss rates do not stabilize until the end of the rainfall experiments. For comparing the interrill erodibilities of the soils, total soil loss is preferred instead of interrill erodibility factors (K_i, K_iq) published in the literature.