A new method for disentangling the coupling effect of slaking and mechanical breakdown on aggregate stability: Validation on splash erosion

飞溅 骨料(复合) 润湿 腐蚀 联轴节(管道) 材料科学 理论(学习稳定性) 岩土工程 土壤水分 复合材料 环境科学 土壤科学 计算机科学 地质学 热力学 物理 机器学习 古生物学
作者
Xinliang Wu,Sixu Yao,Jinxing Zhou
出处
期刊:Soil & Tillage Research [Elsevier BV]
卷期号:236: 105937-105937 被引量:3
标识
DOI:10.1016/j.still.2023.105937
摘要

Aggregate breakdown strongly influences soil erosion process, during which slaking and mechanical breakdown are two dominant breakdown mechanisms. Despite of many methods on aggregate stability, there is a paucity of satisfactory one to disentangle how these two mechanisms interact in aggregate breakdown. Herein, on the basis of Le Bissonnais method (1996) including three treatments (i.e., fast wetting (FW), stirring after pre-wetting (WS), and slow wetting (SW)), a new treatment of water-stirring after fast wetting (SF) was proposed in order to evaluate the coupling effect of slaking and mechanical breakdown on aggregate stability. The coupling effect of slaking and mechanical breakdown was larger to a varying extent than their individual effects, and its difference with slaking showed a unimodal variation with increased aggregate stability. This new method can partition the unique and shared effects of these two breakdown mechanisms; the shared effect (0–77%) decreased logarithmically with increased aggregate stability; the unique effect of slaking (16–52%) showed a unimodal variation and much larger than that of mechanical breakdown (0–17%). As validated by previously published splash erosion data over a wide range of soils (including various soil types, land uses, textures and parent materials), the proposed aggregate stability indices in this new method showed better performance in predicting splash erosion compared to existing ones (e.g., RSI×RMI and RSI/RMI). Collectively, this new method facilitates a systematic understanding on aggregate breakdown mechanisms and exhibits great superiority in aggregate stability measurement and erosion prediction.
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
zheng完成签到 ,获得积分10
1秒前
量子星尘发布了新的文献求助10
2秒前
星辰大海应助荔枝采纳,获得10
2秒前
LJL发布了新的文献求助10
3秒前
meng发布了新的文献求助10
3秒前
无私的颤完成签到,获得积分10
3秒前
lucky完成签到 ,获得积分10
4秒前
Zel博博完成签到,获得积分10
4秒前
谷粱诗云完成签到,获得积分10
4秒前
yar应助myuniv采纳,获得10
4秒前
xc完成签到 ,获得积分10
5秒前
5秒前
干净的天与完成签到,获得积分10
5秒前
哈基米德应助毅诚菌采纳,获得10
7秒前
铁甲小杨完成签到,获得积分0
7秒前
8秒前
卡机了完成签到,获得积分10
9秒前
平淡绿柏完成签到,获得积分10
11秒前
架子猫发布了新的文献求助10
11秒前
11秒前
颠覆乾坤发布了新的文献求助10
12秒前
乔乔完成签到,获得积分10
13秒前
学术小白完成签到,获得积分10
13秒前
min完成签到,获得积分10
13秒前
13秒前
汉堡包应助slin_sjtu采纳,获得10
13秒前
czx完成签到,获得积分10
14秒前
szxnb666发布了新的文献求助30
14秒前
MRJJJJ完成签到,获得积分10
14秒前
chaser完成签到,获得积分10
14秒前
光亮白山完成签到 ,获得积分10
15秒前
科研通AI2S应助大橙子采纳,获得10
15秒前
15秒前
小马甲应助meng采纳,获得10
16秒前
pz发布了新的文献求助10
16秒前
zhou1216完成签到 ,获得积分10
17秒前
小格子完成签到,获得积分10
18秒前
zgt01发布了新的文献求助10
18秒前
锥子完成签到,获得积分10
18秒前
Yjh完成签到,获得积分10
18秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038235
求助须知:如何正确求助?哪些是违规求助? 3575992
关于积分的说明 11374009
捐赠科研通 3305760
什么是DOI,文献DOI怎么找? 1819276
邀请新用户注册赠送积分活动 892662
科研通“疑难数据库(出版商)”最低求助积分说明 815022