研究论文

河北泥河湾盆地东缘石器原料的开发与利用

  • 赵海龙 ,
  • 周天路 ,
  • 马冲 ,
  • 杨博灿 ,
  • 贾倩
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  • 1.辽宁大学考古文博学院,沈阳 110036
    2.四川省文物考古研究院,成都 610042
    3.河北师范大学历史文化学院考古学系,石家庄 050024
赵海龙,教授,主要从事旧石器时代考古研究。E-mail: T5009@163.com

收稿日期: 2023-10-17

  录用日期: 2024-09-23

  网络出版日期: 2026-02-13

基金资助

国家重点研发计划项目“以泥河湾盆地为重点的华北早期人类演化与适应研究”(2020YFC1521500)

Lithic raw material resources and early human utilization in the eastern margin of Nihewan Basin, Hebei Province

  • ZHAO Hailong ,
  • ZHOU Tianlu ,
  • MA Chong ,
  • YANG Bocan ,
  • JIA Qian
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  • 1. Archaeology and Museology School of Liaoning University, Shenyang 110036
    2. Sichuan Province Institute of Cultural Relics and Archaeology, Chengdu 610041
    3. Department of Archaeology, College of History and Culture, Hebei Normal University, Shijiazhuang 050024

Received date: 2023-10-17

  Accepted date: 2024-09-23

  Online published: 2026-02-13

摘要

泥河湾盆地岑家湾台地是华北地区史前人类活动的密集区之一,旧石器时代遗址数量丰富,时代延续时间长,石制品原料种类多样,优劣不一。为了解遗址石制品原料产源和周边石料的大致分布情况,作者对该地区开展专门调查,根据纵向地质剖面和横向基岩露头情况分为8个区域,对区域内主要的原料岩性进行镜下切片鉴定后说明石料分布情况。根据以往研究,并以三个遗址为例,将调查区域石料资源与遗址中出土的石制品原料进行对比和来源分析,用以推断可能的原料源地。分析结果显示,该区域内古人类活动主要采用就近取材的方式开发和利用石料资源,以最小的距离成本获取原料来满足打制石制品需要。本文结合岩相学和宏观观察的方法,初步建立了泥河湾盆地东缘古人类活动遗址与石料产源地之间的联系,研究中定性化的推测相对较多,有待利用更多科技手段进一步量化分析和完善。

本文引用格式

赵海龙 , 周天路 , 马冲 , 杨博灿 , 贾倩 . 河北泥河湾盆地东缘石器原料的开发与利用[J]. 人类学学报, 2026 , 45(01) : 34 -45 . DOI: 10.16359/j.1000-3193/AAS.2025.0028

Abstract

The Cenjiawan Platform of the Nihewan Basin is one of the regions with intensive prehistoric human activities in North China. It boasts a large number of Paleolithic sites, a long chronological span, diverse raw material types, and varying qualities. Stone materials, as crucial means for prehistoric people to produce tools, significantly influenced early humans’ manufacturing techniques, population migrations, and social organizational structures. The selection of raw materials also mirrored ancient people’s understanding and utilization of resources, ultimately reflecting the evolution of their cognitive abilities. Abundant stone resources are among the indispensable factors contributing to the rich remains of prehistoric human activities in this area.

To ascertain the provenance of stone artifact raw materials at the sites and the approximate distribution of surrounding stone resources, we conducted a specialized investigation. The area was divided into eight regions based on the longitudinal geological sections and bedrock exposures. After identifying the main raw material lithologies through thin-section petrographic analysis, we described the distribution of stone materials in each region. Among the sites in the Cenjiawan platform area, flint predominantly originates from the Youfang fault and Zhoujiashan bedrock; dolomite and siliceous limestone mainly come from slope deposits; and esitic porphyrite, basalt, tuff, and other igneous rocks primarily come from the Huoshigou and Hougou areas. The above-mentioned raw materials, along with others that account for a relatively small proportion at the sites, are found in the gravel layer at the bottom of the Nihewan Formation. Subsequently, based on previous studies, we compared and analyzed the stone material resources in the investigation area with the lithic raw material sources of the archaeological sites discovered there, inferring the possible raw material sources of the sites. The results basically indicate that prehistoric inhabitants in this area mainly adopted the strategy of sourcing stone materials locally to meet the needs of stone artifact production with the minimum transportation cost. The scarcity of high-quality raw materials and the utilization of abundant nearby stone materials provide insights into the “expediency” of prehistoric human stone tool production at that time. It also reflects the limited scope of human activities, the low demand for high-quality stone materials, and the extent of their environmental awareness. This paper combines petrographic and macroscopic observation methods to preliminarily establish the relationship between archaeological sites and stone material sources. However, the current research is more abundant in qualitative inferences, which need to be further quantified using more advanced technological means.

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