{"title":"切尔诺泽姆地区土壤可侵蚀性（K 系数）的变化取决于质地测定方法","authors":"","doi":"10.1016/j.mex.2024.102876","DOIUrl":null,"url":null,"abstract":"<div><p>Soil erodibility (K-factor) is an important parameter in erosion modeling, is one of five factors of the Revised Universal Soil Loss Equation (RUSLE), and generally represents the soil's response to rainfall and run-off erosivity. The erodibility could be determined based on direct measurements of soil properties and mathematical calculations. In this study, the K-factor was calculated based on a formula from RUSLE, proposed by Renard et al. (1997). All input parameters: soil organic carbon (SOC), soil structure, and permeability classes were measured by one method, but particle size distribution – in two ways by sedimentation and laser diffraction methods to assess the impact the K-factor variability and the values of soil erosion rates. The 107 soil samples of Chernozems from Kursk Oblast (Russia) were studied. The texture for the most of samples was classified as silty loam in both analyses. However, the laser diffraction underestimates the clay content by an average of 13.2 % compared to the pipette method. The average K-factor estimated based on laser diffraction data was 0.050, and 0.034 t ha h ha<sup>−1</sup> MJ<sup>−1</sup> mm<sup>−1</sup> – sedimentation method. Thus, depending on the method of soil texture analysis, the RUSLE calculated soil loss could underestimated/overstated by 32 % (or 4 t ha<sup>-1</sup> yr<sup>-1</sup> on average in the study site). Therefore, we propose a regression equation-based conversion method of laser diffraction data to sedimentation method data for Chernozems.</p><ul><li><span>•</span><span><p>The Laska-TM laser analyzer measured on ∼ 13 % less clay fraction (more on ∼ 8 % silt and ∼ 5 % fine sand) compared with sedimentation method data.</p></span></li><li><span>•</span><span><p>For erosional researchers/modelers it is suggested to state the method of soil texture analysis (based on sedimentation law or laser diffraction) was used for RUSLE K-factor calculations.</p></span></li><li><span>•</span><span><p>To convert K-factor values (for Chernozems) calculated and based on data of the sedimentation method to laser sedimentation – it suggested utilize the coefficient 1.47 (0.68 – vice versa).</p></span></li></ul></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2215016124003285/pdfft?md5=deb9820ddf61837c0f17521a5b53211f&pid=1-s2.0-S2215016124003285-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Variations in soil erodibility (K-factor) for the Chernozems depending on the method of texture determination\",\"authors\":\"\",\"doi\":\"10.1016/j.mex.2024.102876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Soil erodibility (K-factor) is an important parameter in erosion modeling, is one of five factors of the Revised Universal Soil Loss Equation (RUSLE), and generally represents the soil's response to rainfall and run-off erosivity. The erodibility could be determined based on direct measurements of soil properties and mathematical calculations. In this study, the K-factor was calculated based on a formula from RUSLE, proposed by Renard et al. (1997). All input parameters: soil organic carbon (SOC), soil structure, and permeability classes were measured by one method, but particle size distribution – in two ways by sedimentation and laser diffraction methods to assess the impact the K-factor variability and the values of soil erosion rates. The 107 soil samples of Chernozems from Kursk Oblast (Russia) were studied. The texture for the most of samples was classified as silty loam in both analyses. However, the laser diffraction underestimates the clay content by an average of 13.2 % compared to the pipette method. The average K-factor estimated based on laser diffraction data was 0.050, and 0.034 t ha h ha<sup>−1</sup> MJ<sup>−1</sup> mm<sup>−1</sup> – sedimentation method. Thus, depending on the method of soil texture analysis, the RUSLE calculated soil loss could underestimated/overstated by 32 % (or 4 t ha<sup>-1</sup> yr<sup>-1</sup> on average in the study site). Therefore, we propose a regression equation-based conversion method of laser diffraction data to sedimentation method data for Chernozems.</p><ul><li><span>•</span><span><p>The Laska-TM laser analyzer measured on ∼ 13 % less clay fraction (more on ∼ 8 % silt and ∼ 5 % fine sand) compared with sedimentation method data.</p></span></li><li><span>•</span><span><p>For erosional researchers/modelers it is suggested to state the method of soil texture analysis (based on sedimentation law or laser diffraction) was used for RUSLE K-factor calculations.</p></span></li><li><span>•</span><span><p>To convert K-factor values (for Chernozems) calculated and based on data of the sedimentation method to laser sedimentation – it suggested utilize the coefficient 1.47 (0.68 – vice versa).</p></span></li></ul></div>\",\"PeriodicalId\":18446,\"journal\":{\"name\":\"MethodsX\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2215016124003285/pdfft?md5=deb9820ddf61837c0f17521a5b53211f&pid=1-s2.0-S2215016124003285-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MethodsX\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2215016124003285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MethodsX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215016124003285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
土壤可侵蚀性（K 系数）是侵蚀模型中的一个重要参数，也是修订的通用土壤流失方程（RUSLE）中的五个因子之一，通常代表土壤对降雨和径流侵蚀性的反应。侵蚀性可通过直接测量土壤特性和数学计算来确定。在本研究中，K 系数是根据 Renard 等人（1997 年）提出的 RUSLE 公式计算得出的。所有输入参数：土壤有机碳 (SOC)、土壤结构和渗透性等级均通过一种方法测量，但粒度分布则通过沉积法和激光衍射法两种方法测量，以评估 K 因子的变化和土壤侵蚀率值的影响。对库尔斯克州（俄罗斯）切尔诺泽姆的 107 个土壤样本进行了研究。在两种分析中，大多数样本的质地都被归类为淤泥质壤土。然而，与吸管法相比，激光衍射法平均低估了 13.2 % 的粘土含量。根据激光衍射数据估算出的 K 因子平均值为 0.050，而根据沉积法估算出的 K 因子平均值为 0.034 t ha h ha-1 MJ-1 mm-1。因此，根据不同的土壤质地分析方法，RUSLE 计算出的土壤流失量可能会低估/高估 32%（或研究地点平均每年 4 吨/公顷-1）。因此，我们为切尔诺贝利提出了一种基于回归方程的激光衍射数据与沉积法数据的转换方法。-与沉积法数据相比，拉斯卡-TM 激光分析仪测量到的粘土成分减少了 13%（更多的是 8%的粉土和 5%的细沙）。-对于侵蚀研究人员/建模人员，建议说明在计算 RUSLE K 因子时使用的土壤质地分析方法（基于沉积法或激光衍射法）。-要将根据沉积法数据计算的 K 因子值（对于切尔诺泽姆）转换为激光沉积值，建议使用系数 1.47（0.68 - 反之亦然）。
Variations in soil erodibility (K-factor) for the Chernozems depending on the method of texture determination
Soil erodibility (K-factor) is an important parameter in erosion modeling, is one of five factors of the Revised Universal Soil Loss Equation (RUSLE), and generally represents the soil's response to rainfall and run-off erosivity. The erodibility could be determined based on direct measurements of soil properties and mathematical calculations. In this study, the K-factor was calculated based on a formula from RUSLE, proposed by Renard et al. (1997). All input parameters: soil organic carbon (SOC), soil structure, and permeability classes were measured by one method, but particle size distribution – in two ways by sedimentation and laser diffraction methods to assess the impact the K-factor variability and the values of soil erosion rates. The 107 soil samples of Chernozems from Kursk Oblast (Russia) were studied. The texture for the most of samples was classified as silty loam in both analyses. However, the laser diffraction underestimates the clay content by an average of 13.2 % compared to the pipette method. The average K-factor estimated based on laser diffraction data was 0.050, and 0.034 t ha h ha−1 MJ−1 mm−1 – sedimentation method. Thus, depending on the method of soil texture analysis, the RUSLE calculated soil loss could underestimated/overstated by 32 % (or 4 t ha-1 yr-1 on average in the study site). Therefore, we propose a regression equation-based conversion method of laser diffraction data to sedimentation method data for Chernozems.
•
The Laska-TM laser analyzer measured on ∼ 13 % less clay fraction (more on ∼ 8 % silt and ∼ 5 % fine sand) compared with sedimentation method data.
•
For erosional researchers/modelers it is suggested to state the method of soil texture analysis (based on sedimentation law or laser diffraction) was used for RUSLE K-factor calculations.
•
To convert K-factor values (for Chernozems) calculated and based on data of the sedimentation method to laser sedimentation – it suggested utilize the coefficient 1.47 (0.68 – vice versa).
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