Hongbin Zhan

Dr. Hongbin Zhan

Department of Geology and Geophysics, Texas A&M University, USA
orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 December 2008 in Advances in Water Resources
Verified
Journal Article
Closed access
Quanzhong HuangQuanzhong Huang
Quanzhong Huang
GHGuanhua Huang
Guanhua Huang
Hongbin ZhanHongbin Zhan
Hongbin Zhan

1 January 2012 in Journal of Hydrology
Verified
Journal Article
Closed access
XXXu Xu
Xu Xu
GHGuanhua Huang
Guanhua Huang
Hongbin ZhanHongbin Zhan
Hongbin Zhan
ZQZhongyi Qu
Zhongyi Qu
Quanzhong HuangQuanzhong Huang
Quanzhong Huang

1 October 2019 in Geomorphology
Verified
Journal Article
Closed access
Wenmin YaoWenmin Yao
Wenmin Yao
Chongdong LiChongdong Li
Chongdong Li
QZQingjun Zuo
Qingjun Zuo
Hongbin ZhanHongbin Zhan
Hongbin Zhan
RCRobert E. Criss
Robert E. Criss

18 August 2010 in Water Resources Research
Verified
Journal Article
Open access
PDF file
GGGuangyao Gao
Guangyao Gao
Hongbin ZhanHongbin Zhan
Hongbin Zhan
SFShaoyuan Feng
Shaoyuan Feng
BFBojie Fu
Bojie Fu
YMYing Ma
Ying Ma
GHGuanhua Huang
Guanhua Huang
This study proposed a new mobile‐immobile model (MIM) to describe reactive solute transport with scale‐dependent dispersion in heterogeneous porous media. The model was derived from the conventional MIM but assumed the dispersivity to be a linear or exponential function of travel distance. The linear adsorption and the first‐order degradation of solute were also considered in the model. The Laplace transform technique and the de Hoog numerical Laplace inversion method were applied to solve the developed model. Solute breakthrough curves (BTCs) obtained from MIM with scale‐dependent and constant dispersions were compared, and a constant effective dispersivity was provided to reflect the lumped scale‐dependent dispersion effect. The effective dispersivity was calculated by arithmetically averaging the distance‐dependent dispersivity. With this effective dispersivity, MIM could produce similar BTC as that from MIM with scale‐dependent dispersion in porous media with moderate heterogeneity. The applicability of the proposed new model was tested with concentration data from a 1,250‐cm long and highly heterogeneous soil column. The simulation results indicated that MIM with constant and linear distance‐dependent dispersivities were unable to adequately describe the measured BTCs in the column, while MIM with exponential distance‐dependent dispersivity satisfactorily captured the evolution of BTCs.

20 July 2002 in Water Resources Research
Verified
Journal Article
Closed access
PDF file
Hongbin ZhanHongbin Zhan
Hongbin Zhan
VZVitaly A. Zlotnik
Vitaly A. Zlotnik

1 January 2015 in Advances in Water Resources
Verified
Journal Article
Closed access
QWQuanrong Wang
Quanrong Wang
Hongbin ZhanHongbin Zhan
Hongbin Zhan