Quantifying colloid fate and transport through dense vegetation and soil systems using a particle-plugging tempered fractional-derivative model

Yu, Congrong1; Wei, Song2,3,5; Zhang, Yong4; Zheng, Yi2,5; Yu, Zhongbo1; Donahoe, Rona4; Wei, Hui6

2019-07

10.1016/j.jconhyd.2019.04.007

JOURNAL OF CONTAMINANT HYDROLOGY   影响因子和分区

0169-7722

1873-6009

Colloid contaminants are widely distributed in surface runoff from crop land and can be effectively removed by vegetative filter strips (VFS), whose quantification however proves difficult. Standard mechanism-based models contain many unknown parameters with intrinsic uncertainty, limiting their applicability and potential extension for other environmental conditions and colloid contaminant types. To remedy this limitation and capture the complex dynamics of colloids through the soil-vegetation system, this study proposes a parsimonious, particle-plugging tempered fractional advection-dispersion eq. (P-TFADE) with a few empirical parameters, which is built upon the promising fractional calculus engine. The P-TFADE model extends the promising tempered fractional derivative model by incorporating a plugging term, which is then proved to be able to capture both the plugging dynamics and tailing behavior of colloids under various hydrologic and geochemical conditions. Applications also show that the two critical parameters in the P-TFADE model, the time index (alpha) and plugging coefficient (Kp), can efficiently characterize the impact of the flowrate and ionic condition on transport of different sized colloids observed in our laboratory. In addition, the vegetation type determines the overall structure of the soil-vegetation system, whose impact on the colloid removal efficiency can be quantified by adding a parameter lambda in the physical model. Therefore, the novel P-TFADE model can reduce the model uncertainty and help us further understand the nature of colloid dynamics through dense vegetation and soil systems.

Colloid transport Soil-vegetation system Tempered fractional model Plugging process Tailing behavior Removal efficiency

SCI ; EI

英语

通讯

Special Fund of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering[20145027312]

Environmental Sciences & Ecology ; Geology ; Water Resources

Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources

WOS:000472243700005

ELSEVIER SCIENCE BV

20192206993170

Calculations ; Dynamics ; Efficiency ; Soils ; Uncertainty analysis

Soils and Soil Mechanics:483.1 ; Production Engineering:913.1 ; Mathematics:921 ; Probability Theory:922.1

ENVIRONMENT/ECOLOGY

Web of Science

1.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Coll Hydrol & Water Resource, Nanjing 210098, Jiangsu, Peoples R China
2.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
3.Wuhan Univ, Sch Water Resources & Hydropower Engn, Wuhan 430072, Hubei, Peoples R China
4.Univ Alabama, Dept Geol Sci, Tuscaloosa, AL 35487 USA
5.Southern Univ Sci & Technol, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen 518055, Guangdong, Peoples R China
6.Anhui Univ Sci & Technol, Sch Math & Big Data, Huainan 232001, Peoples R China

Yu, Congrong,Wei, Song,Zhang, Yong,et al. Quantifying colloid fate and transport through dense vegetation and soil systems using a particle-plugging tempered fractional-derivative model[J]. JOURNAL OF CONTAMINANT HYDROLOGY,2019,224.

Yu, Congrong.,Wei, Song.,Zhang, Yong.,Zheng, Yi.,Yu, Zhongbo.,...&Wei, Hui.(2019).Quantifying colloid fate and transport through dense vegetation and soil systems using a particle-plugging tempered fractional-derivative model.JOURNAL OF CONTAMINANT HYDROLOGY,224.

Yu, Congrong,et al."Quantifying colloid fate and transport through dense vegetation and soil systems using a particle-plugging tempered fractional-derivative model".JOURNAL OF CONTAMINANT HYDROLOGY 224(2019).