Dataset of measurements of a lysimeter containg a landfill cover with a capillary barrier
收藏4TU.ResearchData2024-02-05 更新2026-04-23 收录
下载链接:
https://data.4tu.nl/datasets/1900c71a-9980-4848-81bb-6815e4478b2c/1
下载链接
链接失效反馈官方服务:
资源简介:
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).<br>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.<br>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 Berkhoutoutflow: localETref: knmiBerkhoutsm: localdevices: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<br>The accompanying Python code was used to generate the plots in the paper.
本数据集包含在维灵厄梅尔(Wieringermeer)填埋场测渗仪(lysimeter)试验场开展的测量数据。该试验场采用了将甲烷氧化与毛细屏障导渗相结合的填埋场覆盖层设计。本研究聚焦于该系统的水力性能,相关研究成果可参见(待补充)。本数据集的基础源自一篇硕士学位论文(http://resolver.tudelft.nl/uuid:68709c9e-f720-4b96-acc4-e3837175bec4)。
本数据集包含以下组成部分:
1. 2009年10月至2023年6月期间毛细层与毛细阻水块的出流量,通过翻斗式雨量计与泵流量两种方式分别开展两次测量,并包含论文中所述的两种测量结果的组合值。该数据单位为mm(即dm³·m⁻²·T⁻¹),计算方式为将出流体积(单位:dm³)除以试验场的水平面积(500 m²)。测量的时间分辨率(T⁻¹)于2015年从5分钟调整为1小时。
2. 现场自动Pluvio-2型雨量计测得的降水数据,其记录时间分辨率为小时级。但该实测数据存在较多系统性误差,仅可用于小时尺度的分析。本研究实际采用了荷兰皇家气象研究所(KNMI)Berkhout站点(编号249)的mm/h级降水数据(https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens)。
3. 基于KNMI Berkhout站点估算的参考蒸散发量,单位为mm/d,数据来源链接同上(https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens)。
4. 2010年5月至2014年11月的土壤体积含水率,测量点位分别位于上坡、中坡与下坡位置,测量深度涵盖5cm、15cm、40cm与80cm。
5. 2009年、2011年及2013年两次测量得到的土壤属性数据。
6. 用于绘制论文中图表的Python脚本集。关于数据缺失值处理的原理说明,详见该硕士学位论文第4.2章。
本数据集(土壤数据除外)的命名遵循以下结构:{数据类型}_{数据库}_{设备}_{土层}
各字段可选取值如下:
数据类型:P(降水,Precipitation)、Q(出流量,Outflow)、ETref(参考蒸散发,Reference evapotranspiration)、sm(土壤含水率,Soil moisture; Water content)
数据库:
降水:local(本地实测)、knmi Berkhout(KNMI Berkhout站点)
出流量:local(本地实测)
参考蒸散发:knmiBerkhout(KNMI Berkhout站点)
土壤含水率:local(本地实测)
设备:
出流量数据:p(泵测法,pump)、tb(翻斗式雨量计,tipping bucket)
土壤含水率数据:up(上坡,upslope)、mid(中坡,midslope)、down(下坡,downslope)
土层:
出流量数据:CL(毛细层,capillary layer)、CB(毛细阻水块,capillary block)
土壤含水率数据:5cm、15cm、40cm、80cm
配套的Python代码用于生成论文中的所有图表。
创建时间:
2024-02-05



