Georgaki I, Soupios P, Sakkas N, Ververidis F, Trantas E, Vallianatos F, Manios T
School of Agricultural Technology, Technological Educational Institute of Crete, Stavromenos, Heraklion, 71004, Crete, Greece.
Sci Total Environ. 2008 Jan 25;389(2-3):522-31. doi: 10.1016/j.scitotenv.2007.08.033. Epub 2007 Oct 15.
In order to improve the estimation of surface gas emissions in landfill, we evaluated a combination of geophysical and greenhouse gas measurement methodologies. Based on fifteen 2D electrical resistivity tomographies (ERTs), longitudinal cross section images of the buried waste layers were developed, identifying place and cross section size of organic waste (OW), organic waste saturated in leachates (SOW), low organic and non-organic waste. CH(4) and CO(2) emission measurements were then conducted using the static chamber technique at 5 surface points along two tomographies: (a) across a high-emitting area, ERT#2, where different amounts of relatively fresh OW and SOW were detected, and (b) across the oldest (at least eight years) cell in the landfill, ERT#6, with significant amounts of OW. Where the highest emission rates were recorded, they were strongly affected by the thickness of the OW and SOW fraction underneath each gas sampling point. The main reason for lower than expected values was the age of the layered buried waste. Lower than predicted emissions were also attributed to soil condition, which was the case at sampling points with surface ponding, i.e. surface accumulation of leachate (or precipitated water).
为了改进垃圾填埋场地表气体排放的估算，我们评估了地球物理方法和温室气体测量方法的组合。基于15次二维电阻率层析成像（ERT），绘制了掩埋废物层的纵向横截面图像，确定了有机废物（OW）、渗滤液饱和的有机废物（SOW）、低有机和无机废物的位置及横截面尺寸。然后沿着两条层析成像在5个地表点使用静态箱技术进行CH(4)和CO(2)排放测量：（a）穿过一个高排放区域，ERT#2，在该区域检测到不同数量的相对新鲜的OW和SOW；（b）穿过垃圾填埋场最老（至少八年）的单元，ERT#6，其中含有大量的OW。在记录到最高排放率的地方，它们受到每个气体采样点下方OW和SOW部分厚度的强烈影响。低于预期值的主要原因是分层掩埋废物的年代。低于预测的排放也归因于土壤状况，在有地表积水（即渗滤液或降水的地表积聚）的采样点就是这种情况。
