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Aeolian sediment fingerprinting in the Cuona Lake Section along the Qinghai-Tibetan Railway

机译:沿青藏铁路沿青藏铁路的翠湖湖区的风中沉积物。

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摘要

Quantitative analyses of aeolian sediment provenance are necessary to elucidate aeolian sand pathways and define objective targets for control measures. In the present study, annual wind data and remote sensing information were utilized to ascertain the source of aeolian sediments along the Cuona Lake Section of the Qinghai-Tibetan Railway (QTR). Fingerprinting approach with different tracer selection strategies was used to assess contributions of each source types. The results indicated that (1) wind erosion behaviours that contribute to sand sediment occur mainly on the west side of sandy areas during October to April. The resultant drift potential of this period reached 1086.18 VU, indicating a high energy level. (2) The aeolian desertified land within the source area expanded by 8.05 km(2) from 2001 to 2017. The degraded alpine meadow, bare hilly land and river courses were identified as potential sources of aeolian sediments. (3) The contributions from degraded alpine meadow, bare hilly land and river courses were estimated as 4%, 58% and 38%, respectively. Synthesising these results, appropriate control measures for the bare hilly land and river courses on the west side of Cuona Lake should be able to greatly restrict sand transport and alleviate the railway sand hazard. This study will provide a firm basis for sand hazard control in the Cuona Lake section and can be utilized as references for other regions encountering threats from aeolian sand. (C) 2020 Elsevier Ltd. All rights reserved.
机译:阐明海葵沉积物的定量分析是为了阐明海湾砂途径,并定义控制措施的物镜靶标。在本研究中,利用年度风数据和遥感信息来确定青藏铁路(QTR)沿着铜湖段的风中沉积物来源。具有不同示踪选择策略的指纹识别方法用于评估每个源类型的贡献。结果表明,(1)在10月至4月的桑迪地区的西侧主要出现贡献沙沉积的风蚀行为。该期间的所得漂移潜力达到1086.18 VU,表明高能量水平。 (2)源区内的Aeolian荒漠化土地从2001年到2017年扩大了8.05 km(2)。降级的高山草地,裸丘陵和河流课程被确定为潜在的风中沉积物。 (3)降级高山草甸,赤丘土地和河流课程的贡献分别估计为4%,58%和38%。综合这些结果,对Cuona湖西侧的裸露丘陵陆地和河流课程的适当控制措施应该能够大大限制沙车,并缓解铁路砂危害。本研究将为Cuona Lake段的砂危害控制提供坚定的基础,可以用作对遇到遇到来自风砂威胁的其他地区的参考。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2020年第jul10期|121233.1-121233.13|共13页
  • 作者单位

    Beijing Forestry Univ Sch Soil & Water Conservat Yanchi Res Stn Beijing 100083 Peoples R China|Beijing Forestry Univ Key Lab State Forestry & Grassland Adm Soil & Wat Beijing 100083 Peoples R China;

    Beijing Forestry Univ Sch Soil & Water Conservat Yanchi Res Stn Beijing 100083 Peoples R China|Beijing Forestry Univ Key Lab State Forestry & Grassland Adm Soil & Wat Beijing 100083 Peoples R China;

    Beijing Forestry Univ Key Lab State Forestry & Grassland Adm Soil & Wat Beijing 100083 Peoples R China;

    Beijing Forestry Univ Sch Soil & Water Conservat Yanchi Res Stn Beijing 100083 Peoples R China|Beijing Forestry Univ Key Lab State Forestry & Grassland Adm Soil & Wat Beijing 100083 Peoples R China;

    Beijing Forestry Univ Key Lab State Forestry & Grassland Adm Soil & Wat Beijing 100083 Peoples R China;

    Beijing Forestry Univ Sch Soil & Water Conservat Yanchi Res Stn Beijing 100083 Peoples R China|Beijing Forestry Univ Key Lab State Forestry & Grassland Adm Soil & Wat Beijing 100083 Peoples R China;

    Beijing Forestry Univ Key Lab State Forestry & Grassland Adm Soil & Wat Beijing 100083 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Aeolian sediment provenance; Dynamic wind environment; Remote sensing; Fingerprinting; Qinghai-Tibet railway;

    机译:Aeolian沉积物来源;动态风环境;遥感;指纹识别;青藏铁路;
  • 入库时间 2022-08-18 20:53:04

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