Dataset of measurements of a lysimeter containg a landfill cover with a capillary barrier

doi:10.4121/1900c71a-9980-4848-81bb-6815e4478b2c.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1900c71a-9980-4848-81bb-6815e4478b2c
Datacite citation style:
van den Brink, Jitschak Mark; Gebert, Julia (2024): Dataset of measurements of a lysimeter containg a landfill cover with a capillary barrier. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1900c71a-9980-4848-81bb-6815e4478b2c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset contains measurements performed at the test field (lysimeter) on the Wieringermeer landfill. This test field contained a landfill cover design where methane oxidation was combined with infiltration diversion using a capillary barrier. Our research focused on the hydraulic performance of this system and can be found under (TO ADD). A master thesis formed the basis for this publication (http://resolver.tudelft.nl/uuid:68709c9e-f720-4b96-acc4-e3837175bec4).


The dataset contains the following components:

  • Outflow between October 2009 to June 2023 from the capillary layer and capillary block, measured twice with tipping buckets and pump volumes. The combination of both, as explained in the paper is also included. It has the unit mm (dm^3 * m^-2 * T^-1) and was calculated by dividing the outflow volume in dm^3 by the horizontal area of the test field (500 m^2). The time scale resolution of the measurements (T^-1) changed in 2015 from 5 min to 1 hour.
  • Precipitation as measured with an automatic Pluvio-2 rain gauge on site which registered precipitation on an hourly level. However, these measurements contain many (systematic) errors and should be used only for analysis on an hourly time scale. The research used the data in mm/h from the KNMI station Berkhout (249) instead (https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens).
  • Reference evapotranspiration as estimated at the KNMI station Berkhout (https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens) in mm/d.
  • Water content from May 2010 to November 2014 in volume percent. These were measured at up, mid and downslope locations along the slope at 5, 15, 40 and 80 cm depth.
  • Soil properties as measured in 2009, 2011 and twice in 2013.
  • A set of Python files which were used to make the graphs in the paper. An explanation of the rationale behind the handling of data gaps is given in the master's thesis, chapter 4.2.


The naming of the data (with exception of the soil data) follows the following structure:

{data type}_{database}_{device}_{soil layer}

With possibilities:

data types: P (precipitation), Q (outflow), ETref (reference evapotranspiration), sm (soil moisture; water content)

databases:

  • precipitation: local, knmi Berkhout
  • outflow: local
  • ETref: knmiBerkhout
  • sm: local

devices:

  • outflow data: p (pump), tb (tipping bucket)
  • water content data: up (upslope), mid (midslope), down (downslope)

soil layer:

  • outflow data: CL (capillary layer), CB (capillary block)
  • water content data: 5cm, 15cm, 40cm, 80cm


The accompanying Python code was used to generate the plots in the paper.

history
  • 2024-02-05 first online, published, posted
publisher
4TU.ResearchData
format
csv, xlsx
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering
N.V. Afvalzorg Holding, Noord-Holland

DATA

files (1)