TY - DATA
T1 - Dataset of measurements of a lysimeter containg a landfill cover with a capillary barrier
PY - 2024/02/05
AU - Jitschak Mark van den Brink
AU - Julia Gebert
UR - 
DO - 10.4121/1900c71a-9980-4848-81bb-6815e4478b2c.v1
KW - capillary barrier
KW - landfill cover
KW - methane oxidation
KW - test field
KW - lysimeter
KW - water balance
KW - outflow
KW - precipitation
KW - water content
KW - soil properties
N2 - <p>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 (<a href="http://resolver.tudelft.nl/uuid:68709c9e-f720-4b96-acc4-e3837175bec4" target="_blank">http://resolver.tudelft.nl/uuid:68709c9e-f720-4b96-acc4-e3837175bec4</a>).</p><p><br></p><p>The dataset contains the following components:</p><ul><li>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.</li><li>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).</li><li>Reference evapotranspiration as estimated at the KNMI station Berkhout (https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens) in mm/d.</li><li>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.</li><li>Soil properties as measured in 2009, 2011 and twice in 2013.</li><li>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.</li></ul><p><br></p><p>The naming of the data (with exception of the soil data) follows the following structure:</p><p>{data type}_{database}_{device}_{soil layer}</p><p>With possibilities:</p><p>data types: P (precipitation), Q (outflow), ETref (reference evapotranspiration), sm (soil moisture; water content)</p><p>databases:</p><ul><li>precipitation: local, knmi Berkhout</li><li>outflow: local</li><li>ETref: knmiBerkhout</li><li>sm: local</li></ul><p>devices:</p><ul><li>outflow data: p (pump), tb (tipping bucket)</li><li>water content data: up (upslope), mid (midslope), down (downslope)</li></ul><p>soil layer:</p><ul><li>outflow data: CL (capillary layer), CB (capillary block)</li><li>water content data: 5cm, 15cm, 40cm, 80cm</li></ul><p><br></p><p>The accompanying Python code was used to generate the plots in the paper.</p>
ER -