XC Zhang

ORCID: 0000-0002-0082-8436
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About
Contact & Profiles
Research Areas
  • Soil erosion and sediment transport
  • Hydrology and Watershed Management Studies
  • Hydrology and Sediment Transport Processes
  • Climate variability and models
  • Corporate Governance and Law
  • Aeolian processes and effects
  • Climate change impacts on agriculture
  • Conflict of Laws and Jurisdiction
  • Hydrology and Drought Analysis
  • Plant Water Relations and Carbon Dynamics
  • Soil and Unsaturated Flow
  • Flood Risk Assessment and Management
  • Meteorological Phenomena and Simulations
  • International Arbitration and Investment Law
  • Soil and Water Nutrient Dynamics
  • Cryospheric studies and observations
  • Environmental and Agricultural Sciences
  • Hydrological Forecasting Using AI
  • Law, logistics, and international trade
  • Corporate Insolvency and Governance
  • Climate change and permafrost
  • Soil Carbon and Nitrogen Dynamics
  • Landslides and related hazards
  • Dispute Resolution and Class Actions
  • European and International Contract Law

Grazinglands Research Laboratory
2015-2024

Agricultural Research Service
2009-2022

United States Department of Agriculture
2010-2022

University of Jinan
2021

Jinan University
2021

Kansas State University
2020

Ministry of Water Resources of the People's Republic of China
2000-2019

Changjiang Water Resources Commission
2019

Chinese Academy of Sciences
1989-2017

Institute of Soil and Water Conservation
2000-2017

Abstract This study proposes a new hybrid model for monthly streamflow predictions by coupling physically based distributed hydrological with deep learning (DL) model. Specifically, simplified is first developed optimally selecting grid cells from according to their soil moisture characteristics. It then driven bias corrected general circulation (GCM) generate moistures the forecasting months. Finally, model‐simulated along other predictors multiple sources are used as inputs of DL predict...

10.1029/2023wr035618 article EN cc-by Water Resources Research 2024-02-01

Precise estimation of sediment transport capacity ( T c ) is critical to the development physically based erosion models. Few data are available for estimating on steep slopes. The objectives this study were evaluate effects unit flow discharge q ), slope gradient S and mean velocity in shallow flows investigate relationship between shear stress, stream power, power slopes using a 5‐m‐long 0.4‐m‐wide nonerodible flume bed. Unit ranged from 0.625 × 10 −3 5 m 2 s −1 8.8 46.6%. diameter test...

10.2136/sssaj2008.0145 article EN Soil Science Society of America Journal 2009-06-30

10.1016/j.jhydrol.2017.03.046 article EN Journal of Hydrology 2017-03-28

ABSTRACT Vegetation restoration has significant effects on soil properties and vegetation cover thus affects detachment by overland flow. Few studies have been conducted to evaluate this effect in the Loess Plateau where a Great Green Project was implemented past decade. This study carried out quantify of age abandoned farmland under natural flow resistance erosion as reflected erodibility critical shear stress. The undisturbed samples were collected from five farmlands with varying 3 37...

10.1002/esp.3459 article EN Earth Surface Processes and Landforms 2013-06-14

Vegetation restoration probably has great effects on the process of soil detachment. This study was conducted to investigate near surface characteristics detachment by overland flow in a 7-yr restored natural grassland. Four treatments were designed characterize dead roots, live biological crusts (BSCs), and plant litter-stems succession. For comparison, an undisturbed bare Loess used as baseline. The testing area (1.0 m length 0.1 width) each treatment subjected scouring under five...

10.2136/sssaj2013.09.0392 article EN Soil Science Society of America Journal 2014-03-01

ABSTRACT Trends and variability of extreme precipitation events are important for water‐related disaster prevention mitigation as well water resource management. Using daily dataset from 143 meteorological stations in the Yangtze River Basin ( YRB ), a suite heavy indices recommended by Expert Team on Climate Change Detection Indices, which has rarely been applied this region, were analysed during 1960–2012. Results showed that simple intensity index, very wet day precipitation, extremely...

10.1002/joc.4776 article EN International Journal of Climatology 2016-05-19

Understanding seasonal soil erosion and deposition rates their spatial distribution along sloping farmlands are necessary for prediction technology implementing effective conservation practices. To date change of redistribution on long gentle hillslopes not fully quantified due to the variable erosive forces in different seasons. A multi-tracer method using rare earth elements (REE) was employed discriminate changes its a farmland driven by snowmelt runoff, wind force rainfall-runoff....

10.1016/j.iswcr.2021.02.001 article EN cc-by-nc-nd International Soil and Water Conservation Research 2021-02-11

Model testing and evaluation are critical to the acceptance of any new prediction tool. This study was conducted evaluate overall performance Water Erosion Prediction Project (WEPP) hillslope model in predicting runoff soil loss under cropped conditions. Natural plot data, including 4,124 selected events, 556 years, 34 cropping scenarios, from eight locations were selected. The average length record for scenarios about nine years. Several common crops tillage systems included. WEPP input...

10.13031/2013.27570 article EN Transactions of the ASAE 1996-01-01

Most existing soil loss data are spatially‐averaged, though various tracing techniques have been used for obtaining spatially‐distributed data. Spatially‐distributed erosion needed validating physically‐based prediction models and better understanding dynamics. The objectives of this study were to evaluate the feasibility using rare earth element (REE) oxides directly as tracers studies by examining their binding ability with materials, also test a quick acid‐extraction procedure. Five REE...

10.2136/sssaj2001.6551508x article EN Soil Science Society of America Journal 2001-09-01

Abstract Measurements of temporal variations in soil detachability under different land uses are badly needed to develop new algorithms or evaluate the existing ones for adjustment continuous erosion models. Few studies have been conducted Loess Plateau quantify detachment rate runoff uses. The objectives this study were investigate and further identify potential factors causing change Plateau. Undisturbed samples collected fields arable (millet, soybean, corn, potato), grassland, shrub...

10.1002/esp.1827 article EN Earth Surface Processes and Landforms 2009-06-02

Land use has a significant effect on soil properties, and therefore erodibility. In many cases, land controls erosion to greater extent than does climate change or other system yet only few studies have quantified the of detachment rates. This study was conducted evaluate natural, undisturbed samples, which were taken from fields under five typical uses in Loess Plateau China. Flow discharges ranged 0.25 2.0 L s-1 slope gradients varied 8.8% 46.6%. The results indicated that rates...

10.13031/2013.24527 article EN Transactions of the ASABE 2008-01-01
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