LI Xianwen
INTRODUCTION TO Xianwen Li
Xianwen Li, Ph.D., Associate Professor of Water Resources and Environmental Engineering,
College of Water Resources and Architectural Engineering
Northwest A&F University, P.R.China.
23# Weihui Rd , Yangling, Shaanxi Province, 712100
0086-15827438091 (Cell-phone)
lixianwen@nwsuaf.edu.cn
EDUCATION
2014 Ph.D. Groundwater Science and Engineering, China University of Geoscience (Wuhan)
2007 B.Sc. Hydrology and Water Resources, Shijiazhuang University of Economics (now Hebei GEO University)
ACADEMIC POSITIONS
01/2019 – present Associate Professor, Water Resources and Environmental Engineering, Northwest A&F University
12/2016 – 12/2018 Lecturer, Water Resources and Environmental Engineering, Northwest A&F University
9/2014 – 12/2016 Postdoc, Civil Engineering, Tongji University
07/2007 – 05/2009 Assistant Engineer, Hydrogeology Bureau of China National Administration of Coal Geology
RESEARCH INTERESTS
Water flow and solute transport in saturated and unsaturated zone, Soil water and salt interactions in arid regions, agro-geology, remote sensing in hydrology
RESEARCH PROJECTS
2020-2021, General Program from China Postdoctoral Science Foundation, Principal Investigator
2020-2021, Youth Program from Science and Technology Program of Shaanxi Province, Principal Investigator
2017-2019, Sub-project from National Key Research and Development Project of China, Co-Investigator
2016-2018, Youth Program from National Natural Science Foundation of China, Principal Investigator
2016-2017, General Program from China Postdoctoral Science Foundation, Principal Investigator
SELECTED PUBLICATIONS
Hu Yaxian, Li Xianwen, Guo Shengli, Gao Xin, Ou Xiaojing, Liu Baoyuan. On-site soil dislocation and localized CNP degradation: the real erosion risk faced by sloped cropland in northeastern China[J]. Agriculture, Ecosystems & Environment. 2020, 302: 107088.
Hu Yaxian, Li Xianwen, Jin Menggui, Wang Rui, Chen Junying, Guo Shengli. Reduced co-occurrence and ion-specific preferences of soil microbial hub species after ten years of irrigation with brackish water[J]. Soil & Tillage Research. 2020, 199: 104599.
He Yao, Hu Yaxian, Liu Baoyuan, Gao Xin, Wang Rui, Guo Shengli, Li Xianwen. Minor topography governing erosional distribution of soc and temperature sensitivity of CO2 emissions: comparisons between concave and convex toposequence[J]. Journal of Soils and Sediments. 2020, 20 (4): 1906-1919.
Li Xianwen, Jin Menggui, Zhou Nianqing, Jiang Simin, Hu Yaxian. Inter-dripper variation of soil water and salt in a mulched drip irrigated cotton field: Advantages of 3-D modelling[J]. Soil and Tillage Research. 2018, 184: 186-194.
Li Xianwen, Jin Menggui, Zhou Nianqing, Huang Jinou, Jiang Simin, Telesphore Habiyakare. Evaluation of evapotranspiration and deep percolation under mulched drip irrigation in an oasis of Tarim basin, China[J]. Journal of Hydrology. 2016, 538: 677-688.
Li Xianwen, Jin Menggui, Huang Jinou, Yuan Jingjing. The soil–water flow system beneath a cotton field in arid north-west China, serviced by mulched drip irrigation using brackish water[J]. Hydrogeology Journal. 2015, 23(1): 35-46.
Ou Xiaojing, Hu Yaxian, Li Xianwen, Guo Shengli, Liu Baoyuan. Advancements and challenges in rill formation, morphology, measurement and modeling[J]. Catena. 2021, 196: 104932.
Lao Congcong, Chen Junying, Zhang Zhitao, Chen Yinwen, Ma Yu, Chen Haorui, Gu Xiaobo, Ning Jifeng, Jin Jiming, Li Xianwen. Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection[J]. Computers and Electronics in Agriculture. 2021, 182: 106031.
Jiang Simin, Liu Jinbing, Xia Xuemin, Wang Zhiyuan, Cheng Lu, Li Xianwen. Simultaneous identification of contaminant sources and hydraulic conductivity field by combining geostatistics method with self-organizing maps algorithm[J]. Journal of Contaminant Hydrology. 2021, 241: 103815.
Bian Jiang, Zhang Zhitao, Chen Junying, Chen Haiying, Cui Chenfeng, Li Xianwen, Chen Shuobo, Fu Qiuping. Simplified evaluation of cotton water stress using high resolution unmanned aerial vehicle thermal imagery[J]. Remote Sensing. 2019, 11(3): 267.
