Pore structure analysis via X-ray μCT: Enhancing soil macroaggregate models for water permeability and carbon sequestration

土壤水分 固碳 环境科学 土壤科学 磁导率 化学 二氧化碳 生物化学 有机化学
作者
Jingjing Liu,Yefeng Wang,Yu Tian,Yajuan Zhuang,Shenggao Lu
出处
期刊:Geoderma Regional [Elsevier BV]
卷期号:36: e00764-e00764 被引量:9
标识
DOI:10.1016/j.geodrs.2024.e00764
摘要

Soil macroaggregates are crucial for carbon sequestration, water retention, and soil fertility. Their ecological functions are influenced by their pore characteristics. Yet, the relationship between pore structure and the movement of water and carbon within macroaggregates is not fully understood. In this study, the porosity, connectivity, and morphology of macroaggregate pores in three typical soil types in China were characterized. Additionally, water permeability and carbon sequestration were modeled based on in-situ CT-scanning images. The results indicated that the macropores within the macroaggregates serve as the primary channels for water permeability, while pore morphology of mesopores significantly influences carbon sequestration. The water permeability increased with the presence of macropores and enhanced connectivity within the macroaggregates. Dissolved organic carbon (DOC) showed a pronounced correlation with oblate pores across all samples, and a more intricate structure offered more surface area space, trapping additional carbon particles. The established model not only elucidates how various pore structures influence the transport of carbon particles and carbon sequestration but also simulates the structural changes in macroaggregates throughout the process. This allows for an intuitive understanding of water and carbon distribution and migration. This research presents an innovative simulation of water and carbon distribution within macroaggregates using micron-scale CT data.
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
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
隐形的凡阳应助drtianyunhong采纳,获得10
刚刚
Ashley发布了新的文献求助10
3秒前
cheng发布了新的文献求助10
3秒前
顾矜应助85号采纳,获得10
3秒前
4秒前
valimar完成签到,获得积分10
4秒前
4秒前
zeng完成签到,获得积分10
5秒前
CodeCraft应助ZHEN采纳,获得10
5秒前
zyy完成签到,获得积分10
5秒前
今后应助笑点低人英采纳,获得10
6秒前
7秒前
英俊的铭应助xiaoxiao采纳,获得10
7秒前
7秒前
ilmadf发布了新的文献求助50
8秒前
细腻的音响完成签到,获得积分10
8秒前
8秒前
杨荣完成签到,获得积分10
8秒前
duduguai发布了新的文献求助10
9秒前
11秒前
11秒前
molihuakai应助李丰采纳,获得10
11秒前
鲨鱼游泳教练完成签到,获得积分10
12秒前
13秒前
14秒前
杨荣发布了新的文献求助10
14秒前
15秒前
xiaobo发布了新的文献求助10
15秒前
细腻雁枫发布了新的文献求助10
18秒前
Zhenggg发布了新的文献求助10
19秒前
19秒前
寒月如雪发布了新的文献求助10
19秒前
20秒前
bingbing发布了新的文献求助10
20秒前
21秒前
22336应助离殇采纳,获得20
21秒前
小七完成签到,获得积分10
22秒前
深情安青应助织梦的旅人采纳,获得10
22秒前
云间宿完成签到 ,获得积分10
23秒前
23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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7594857
求助须知:如何正确求助?哪些是违规求助? 9171761
关于积分的说明 19633006
捐赠科研通 7172335
什么是DOI,文献DOI怎么找? 3267785
关于科研通互助平台的介绍 2432521
邀请新用户注册赠送积分活动 2260741