Estimating particle-size distribution from limited soil texture data: Introducing two new methods

壤土 土壤质地 淤泥 土壤水分 土壤科学 粒度分布 纹理(宇宙学) 粒径 矿物学 地质学 土工试验 环境科学 地貌学 古生物学 人工智能 计算机科学 图像(数学)
作者
Hasan Mozaffari,Ali Akbar Moosavi,José A. M. Demattê
出处
期刊:Biosystems Engineering [Elsevier BV]
卷期号:216: 198-217 被引量:14
标识
DOI:10.1016/j.biosystemseng.2022.02.007
摘要

Most soil databases present the mass fractions of sand, silt, and clay particles without detailed primary particle-size distribution (PSD). In the present paper two simple methods are introduced to estimate the PSD using the fractions of sand, silt, clay, and very coarse sand. A total of 504 soil samples with different texture classes from different regions, i.e., southern Iran (245), south-eastern Brazil (116), and UNSODA database (143) were used. PSD of the Iranian and Brazilian soil samples were determined using a combination of wet-sieving and sedimentation (hydrometer for Iranian and pipette for Brazilian soils) approaches and that of the others extracted from UNSODA database. We developed two new methods including very coarse sand-dependent (VCS-D) and very coarse sand-independent (VCS–I) to predict PSD of the soils. PSD were also predicted using the revised Skaggs method (R-Skaggs) and compared with the measured ones. Both VCS-D and VCS-I approaches with very simple equations accurately estimated full range of PSD in a wide range of the fine to medium textured soils)clay, clay loam, loam, silty clay, silty clay loam, silt loam, and silt texture classes). Accuracy of predictions was slightly lower in coarse textured soils (sandy clay, sandy clay loam, sandy loam, loamy sand, and sand textures) than that of the other texture classes. For these coarse textured soils, it is strongly recommended that the fraction of particles between 0.05 and 2 mm diameters be estimated using the VCS-D or VCS-I methods and the fraction of particles between 0.002 and 0.05 mm diameters be estimated using the R-Skaggs method. The R-Skaggs method could only predict the PSD in the soils with nearly 25–60% sand content, accurately. Whereas, the new proposed methods could predict full range of PSD with high accuracy (NRMSE <10%) in soils with sand content less than 53%. Overall, the proposed methods could accurately predict full range of PSD curve by using only the content of primary soil particles in nearly 73% of soil classes in texture triangle.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
希望天下0贩的0应助wb采纳,获得10
刚刚
小文完成签到,获得积分10
1秒前
1秒前
Yee完成签到,获得积分10
2秒前
斯文若魔完成签到,获得积分10
2秒前
2秒前
科目三应助机智的板栗采纳,获得10
3秒前
固态锂电发布了新的文献求助10
3秒前
ChenBichi完成签到,获得积分10
3秒前
科研通AI5应助依人如梦采纳,获得10
4秒前
lilili6666完成签到,获得积分20
4秒前
英姑应助满意的砖头采纳,获得10
5秒前
5秒前
6秒前
6秒前
6秒前
科研通AI6应助渔婆采纳,获得10
7秒前
Owen应助Yolen LI采纳,获得10
7秒前
7秒前
锦鲤发布了新的文献求助10
8秒前
潆星发布了新的文献求助10
8秒前
L拉丁是我干死的完成签到,获得积分10
8秒前
研友_VZG7GZ应助儒雅老太采纳,获得10
8秒前
8秒前
8秒前
彭于晏应助呆萌的太阳采纳,获得10
8秒前
8秒前
8秒前
刘百慧完成签到,获得积分10
9秒前
myth发布了新的文献求助10
9秒前
家的温暖完成签到,获得积分10
9秒前
Debra完成签到,获得积分10
10秒前
萌酱发布了新的文献求助10
10秒前
wkyueeee完成签到 ,获得积分10
10秒前
qwe发布了新的文献求助10
10秒前
10秒前
yiyi发布了新的文献求助10
11秒前
11秒前
黑鲨完成签到 ,获得积分10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Feigin and Cherry's Textbook of Pediatric Infectious Diseases Ninth Edition 2024 4000
Einführung in die Rechtsphilosophie und Rechtstheorie der Gegenwart 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Binary Alloy Phase Diagrams, 2nd Edition 1000
青少年心理适应性量表(APAS)使用手册 700
Air Transportation A Global Management Perspective 9th Edition 700
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5001832
求助须知:如何正确求助?哪些是违规求助? 4246915
关于积分的说明 13231512
捐赠科研通 4045758
什么是DOI,文献DOI怎么找? 2213210
邀请新用户注册赠送积分活动 1223392
关于科研通互助平台的介绍 1143701