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中国沙漠 ›› 2020, Vol. 40 ›› Issue (3): 94-105.DOI: 10.7522/j.issn.1000-694X.2019.00074

• • 上一篇    下一篇

2008—2018年河北昌黎海岸输沙势时空变化与沙丘形态演变

李志星1,2, 李志忠1,2,3, 靳建辉1,2,3, 郑斐1,2, 张文静1,2, 白利4   

  1. 1. 福建师范大学 亚热带山地生态国家重点实验室培育基地, 福建 福州 350007;
    2. 福建师范大学 地理科学学院, 福建 福州 350007;
    3. 福建师范大学 地理研究所, 福建 福州 350007;
    4. 百色学院, 广西 百色 533099
  • 收稿日期:2019-08-20 修回日期:2019-09-12 出版日期:2020-05-20 发布日期:2020-06-09
  • 通讯作者: 李志忠(E-mail:lizz@fjnu.edu.cn)
  • 作者简介:李志星(1997-),女,江西南昌人,硕士研究生,主要从事风沙地貌与环境演变研究。E-mail:949654141@qq.com
  • 基金资助:
    国家自然科学基金项目(41771020);福建省自然科学基金项目(2017J01460)

Spatial-temporal variation of drift potential and dune morphology evolution during 2008-2018 in Changli coast of Hebei, China

Li Zhixing1,2, Li Zhizhong1,2,3, Jin Jianhui1,2,3, Zheng Fei1,2, Zhang Wenjing1,2, Bai Li4   

  1. 1. Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou 350007, China;
    2. College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China;
    3. Institute of Geography, Fujian Normal University, Fuzhou 350007, China;
    4. Baise University, Baise 533099, Guangxi, China
  • Received:2019-08-20 Revised:2019-09-12 Online:2020-05-20 Published:2020-06-09

摘要: 输沙势的时空变化特征是研究风积沙丘形态类型及其时空变化规律的重要指标。以中国河北昌黎海岸沙丘分布区为研究对象,利用邻近区域3个气象站记录的2008—2018年风资料分析输沙势时空变化,借助高分辨率的Google卫星影像提取同期横向沙脊和新月形沙丘形态的变化信息,结合区域风速、降水量变化及人类活动等因素,综合分析海岸沙丘分布格局和形态变化的驱动机制。结果表明:(1)研究区输沙势(DP)以春、冬两季最高,潜在风沙作用最活跃;(2)3个气象站中,乐亭站向岸合成输沙方向(RDD)代表研究区主要输沙方向,昌黎站离岸合成输沙方向为次要输沙方向,这两个输沙过程控制了研究区海岸沙丘分布的基本格局;(3)研究区向岸的和离岸的输沙势、合成输沙势(RDP)总体呈现衰减趋势,合成输沙方向没有明显变化;(4)近10年来昌黎海岸沙丘整体呈明显的风蚀消减特征,但气候变化的影响十分有限,而人工植树造林、防风固沙活动导致上风向沙源的减少则是主要原因。

关键词: 海岸沙丘, 输沙势, 新月形沙丘, 横向沙脊, 沙丘衰退, 昌黎

Abstract: The spatial-temporal variation of drift potential is an important index in studying the morphology and spatial-temporal variation of aeolian dunes. In this study, aeolian coastal dunes in Changli, Hebei,China, are chosen as study object. The spatial-temporal variation of drift potential during 2008-2018 are analysed via the wind data from adjacent meteorological stations, and multi-period high resolution images derived from the Google Earth platform are used to extract information about the changes in dune morphology. Besides, the driving mechanism of the distribution pattern and morphological change of coastal dunes are discussed comprehensively based on wind regime, precipitation and human activities. The results show that: (1)The drift potential (DP) is high during spring and winter, and the sand drift is active.(2) Among these three meteorological stations, the landward resultant drift direction of Laoting station represents the main direction of sand drift in study area, while the seaward resultant drift direction of Changli station reflects the secondary direction of sand drift, and the distribution of coastal dunes in our study area is controlled by these two sand-drifting processes. (3)Both the landward and the seaward DP and resultant drift potential (RDP) generally show a decreasing trend, while the resultant drift direction (RDD) shows no significant change. (4) During the past decade, the aeolian geomorphology of Changli coast shows a characteristic of recession as a whole, the influence of climate change is limited, but the reduction of sand supply caused by artificial afforestation, windbreak and sand fixation activities is the main reason.

Key words: coastal dunes, drift potential, barchan dunes, transverse dunes, dune recession, Changli

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