Identification

Title

Simulated soil moisture data at different soil depths from lysimeter experiments in Ningbo, China [2017]

Abstract

[This dataset is embargoed until July 1, 2021]. 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. Full details about this dataset can be found at https://doi.org/10.5285/ade59134-8837-4326-b2b4-182f64143b08

Resource type

dataset

Resource locator

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/ade59134-8837-4326-b2b4-182f64143b08

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

Soil

originating controlled vocabulary

title

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Ningbo

China

Geographic location

West bounding longitude

120.993

East bounding longitude

122.213

North bounding latitude

30.439

South bounding latitude

29.276

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2020-02-21

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

© Natural Environment Research Council

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: 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

Responsible organisations

Responsible party

organisation name

University of Leeds

email address

S.Sinha1@leeds.ac.uk

responsible party role

author

Responsible party

organisation name

University of Leeds

email address

S.A.Banwart@leeds.ac.uk

responsible party role

author

Responsible party

organisation name

Nanjing University

email address

hyguo@nju.edu.cn

responsible party role

author

Responsible party

organisation name

University of Leeds

email address

forsumit@gmail.com

responsible party role

pointOfContact

Responsible party

organisation name

Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

publisher

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2020-03-13T14:30:45

Metadata language