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Two Iron-Age Settlement Sites in Germany: From Field Work via Numerical Modeling towards an Improved Interpretation

机译:德国的两个铁器时代的定居点:从通过数值建模的野外工作到改进的解释

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Geophysical exploration of archaeological sites has been a successful tool becoming more and more popular in the last decades. Many archaeological features can be detected with magnetic gradiometry (MGR), such as fire places, burned loam, metal artifacts, or other remnants, which produce a remanent magnetic signal detectable on the surface. However, as magnetic minerals are also present in natural settings, e.g. sedimentary and magmatic rocks and sediments derived from these host rocks, the MGR signal from archaeological artifacts is often embedded in a broader geomorphological signal, which makes separation of the different sources difficult. We provide geophysical data from two complex archaeological sites in northern Germany, which have been obtained with different methods, e.g. magnetic gradiometry (MGR), electrical resistivity tomography (ERT), electro-magnetic mapping (EM), and ground-penetrating radar (GPR). The combination of geophysical methods maps different material properties of both the geomorphological and the archaeological sources. We then use the three-dimensional modeling tool PREDICTOR to analyze the sources for the geophysical signals, e.g. the dominant signal in Leimbach, resulting from infill of palaeo-channels in the settlement area, and fire places as well as shafts in the hill fort of Lossow. The model prediction enables us to quantify the structures in the sub-surface and therefore helps to unravel complex situations often present in archaeological excavations.
机译:在过去的几十年中,考古现场的地球物理勘探已成为一种成功的工具。可以使用磁梯度法(MGR)来检测许多考古特征,例如火场,烧过的壤土,金属制品或其他残留物,这些残留物会在表面产生可检测到的剩磁信号。然而,由于磁性矿物也存在于自然环境中,例如。沉积岩浆岩和源自这些宿主岩的沉积物,来自考古文物的MGR信号通常被嵌入更广泛的地貌信号中,这使得分离不同的来源变得困难。我们提供了德国北部两个复杂考古遗址的地球物理数据,这些数据是通过不同方法获得的,例如磁梯度(MGR),电阻率层析成像(ERT),电磁测绘(EM)和探地雷达(GPR)。地球物理方法的组合映射了地貌和考古资源的不同材料属性。然后,我们使用三维建模工具PREDICTOR分析地球物理信号的来源,例如Leimbach的主要信号是由于定居区的古河道,火场以及Lossow小山堡垒中的竖井的填充所致。模型预测使我们能够量化地下的结构,因此有助于揭示考古发掘中经常出现的复杂情况。

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