Sinha, S.; Banwart, S.; Guo, H.
        
        Simulated soil moisture data at different soil depths from lysimeter experiments in Ningbo, China [2017]
         https://doi.org/10.5285/ade59134-8837-4326-b2b4-182f64143b08
        
       
            Cite this dataset as: 
            
           
          Sinha, S.; Banwart, S.; Guo, H. (2020). Simulated soil moisture data at different soil depths from lysimeter experiments in Ningbo, China [2017]. NERC Environmental Information Data Centre. https://doi.org/10.5285/ade59134-8837-4326-b2b4-182f64143b08
             
             
            
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© Natural Environment Research Council
 This dataset is available under the terms of the Open Government Licence  
 
          This data pertains to simulations carried for 90 days for a 100 cm deep lysimeter planted with rice plant in Ningbo, China. The diameter of the lysimeter was 80 cm. The boundary conditions for the simulations were obtained from the in-situ instruments. Soil moisture and metal concentration in the root zone were simulated and recorded at regular intervals. 
          
         
           Publication date: 2020-02-21
          
         View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
           
          Format
Comma-separated values (CSV)
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Tabular (text)
         
        
          Spatial reference system
         
         
          WGS 84
         
        Provenance & quality
         The model used for the simulation is a finite element model Hydrus Simunek et al., 2003 and Simunek et al. 2005 that numerically resolves Richard’s equation for spatiotemporal variation of soil moisture in the vadose zone during the growing season. The entire soil column of the lysimeter (100 cm) was discretized with 101 nodes for conducting high resolution simulation and examine the spatiotemporal variation of the soil moisture through the growing season. The hydraulic parameters (residual soil water content, saturated soil water content and parameter α for soil water retention) required by the model were calibrated to match the observed soil moisture data.
        
       Licensing and constraints
 This dataset is available under the terms of the Open Government Licence  
 
         Cite this dataset as: 
         
        Sinha, S.; Banwart, S.; Guo, H. (2020). Simulated soil moisture data at different soil depths from lysimeter experiments in Ningbo, China [2017]. NERC Environmental Information Data Centre. https://doi.org/10.5285/ade59134-8837-4326-b2b4-182f64143b08
          
          
         
        © Natural Environment Research Council
Related
This dataset is included in the following collections
Data from Soil Analysis of Ningbo Watershed, China – Field, Laboratory and Modelling
Supplemental information
          Simunek, J., Jarvis, N.J., van Genuchten, M.Th., Gardenas, A., 2003. Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone. J. Hydrol. 272, 14–35.
         
         
        
          Simunek, J., van Genuchten, M.Th., Sejna, M., 2005. The HYDRUS-1D software package for simulating the one-dimensional movement of water, heat, and multiple solutes in variably-saturated media. Version 3.0 Hydrus-1D Software Series 1. Department of Environmental Sciences, University of California Riverside, Riverside, CA, p. 270
         
        Correspondence/contact details
Authors
Other contacts
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC Environmental Information Data Centre
           
  info@eidc.ac.uk
           
      
 https://orcid.org/0000-0002-9163-7474
 https://orcid.org/0000-0002-9163-7474