南方科技大学知识苑(SUSTech KC): Quantifying Transport of Arsenic in Both Natural Soils and Relatively Homogeneous Porous Media using Stochastic Models

题名	Quantifying Transport of Arsenic in Both Natural Soils and Relatively Homogeneous Porous Media using Stochastic Models
作者	Lu, Bingqing 1; Song, Jia 2; Li, Shiyin 2; Tick, Geoffrey R.1; Wei, Wei 2; Zhu, Jianting 3; Zheng, Chunmiao4 ; Zhang, Yong 1
通讯作者	Li, Shiyin; Zhang, Yong
发表日期	2018-09-01
DOI	10.2136/sssaj2017.12.0439
发表期刊	SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 影响因子和分区
ISSN	0361-5995
EISSN	1435-0661
卷号	82 期号:5页码:1057-1070
摘要	The widespread distribution of arsenic in soils is a pollution source that jeopardizes human health, and the transport of arsenic (As) under various conditions is not fully understood and quantified. This study proposes a tempered time fractional advection-dispersion equation (fADE), to model the rate-limited diffusion and sorption-desorption of As in soil. Applications show that the time fADE can effectively capture skewed breakthrough curves (BTCs) of As leaching from natural soils, which contain multiple stages of desorption that cannot be fully described by the single-rate mass transfer (SRMT) model. The time fADE model parameters change with soil properties, such as clay content and pH condition. For comparison purposes, a series of As injection column experiments packed with glass beads were conducted to generate BTCs under various hydrologic conditions. Applications show that the time fADE and the multi-rate mass transfer (MRMT) model perform better than the SRMT model in characterizing non-Fickian dynamics, especially for prolonged retention, in most runs of leaching and flushing experiments. Parameters in the MRMT model and the time fADE can be linked to simplify the fitting procedure. Such simplification and representation of experimental conditions demonstrate the promise and applicability of the time fADE model for capturing As transport in soil.
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	其他
资助项目	National Science Foundation of China[41628202] ; National Science Foundation of China[41330632] ; National Science Foundation of China[41373111] ; National Science Foundation of China[41101287]
WOS研究方向	Agriculture
WOS类目	Soil Science
WOS记录号	WOS:000446667000006
出版者	SOIL SCI SOC AMER
EI入藏号	20184205957368
EI主题词	Arsenic ; Desorption ; Leaching ; Mass transfer ; Porous materials ; Soils ; Stochastic models ; Stochastic systems
EI分类号	Soils and Soil Mechanics:483.1 ; Mass Transfer:641.3 ; Chemical Operations:802.3 ; Chemical Products Generally:804 ; Probability Theory:922.1 ; Materials Science:951 ; Systems Science:961
ESI学科分类	AGRICULTURAL SCIENCES
来源库	Web of Science
引用统计	被引频次[WOS]：6
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/27319
专题	南方科技大学工学院_环境科学与工程学院
作者单位	1.Univ Alabama, Dept Geol Sci, Tuscaloosa, AL 35487 USA 2.Nanjing Normal Univ, Sch Environm, Nanjing 210023, Jiangsu, Peoples R China 3.Univ Wyoming, Dept Civil & Architec Engn, Laramie, WY 82071 USA 4.Southern Univ Sci & Technol, Sch Environ Sci & Engn, Guangdong Prov Key Lab Soil & Groundwater Pollut, Shenzhen 518055, Peoples R China
推荐引用方式 GB/T 7714	Lu, Bingqing,Song, Jia,Li, Shiyin,et al. Quantifying Transport of Arsenic in Both Natural Soils and Relatively Homogeneous Porous Media using Stochastic Models[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2018,82(5):1057-1070.
APA	Lu, Bingqing.,Song, Jia.,Li, Shiyin.,Tick, Geoffrey R..,Wei, Wei.,...&Zhang, Yong.(2018).Quantifying Transport of Arsenic in Both Natural Soils and Relatively Homogeneous Porous Media using Stochastic Models.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,82(5),1057-1070.
MLA	Lu, Bingqing,et al."Quantifying Transport of Arsenic in Both Natural Soils and Relatively Homogeneous Porous Media using Stochastic Models".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 82.5(2018):1057-1070.