AbstractIn recent years, dramatic decline in China’s largest freshwater lake, Poyang Lake, has raised wide conc'/> Quantifying the Human Induced Water Level Decline of China's Largest Freshwater Lake from the Changing Underlying Surface in the Lake Region
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Quantifying the Human Induced Water Level Decline of China's Largest Freshwater Lake from the Changing Underlying Surface in the Lake Region

机译:从湖区变化的下垫面量化中国最大的淡水湖人为引起的水位下降

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摘要

AbstractIn recent years, dramatic decline in China’s largest freshwater lake, Poyang Lake, has raised wide concerns about water supply and ecological crises in the middle–lower Yangtze River reaches. To assist in resolving the debates regarding the low water regime of the lake, the current study quantitatively assessed the enhanced water level decline from the changing underlying surface in the Poyang Lake region. It is the first time that the magnitude, temporal–spatial difference, trend development and background mechanism of lake water level variation and its causes are studied comprehensively. The results revealed that the changing underlying surface in the lake region has caused an average decline of annual water level of 0.26 m ~ 0.75 m across the lake during 2000–2014, which shows great seasonal and spatial differences. The enlarged outflow cross–section due to extensive sand mining was the major reason for the effect on water level decline in the northern lake. While, increased water surface gradient should be attributed to water level decline in the southern lake. The long–term increasing trend of annual lake water level decline reflects the cumulative effects of lake bottom topography change caused by the continuous south movement of sand mining activities.
机译: 摘要 近年来,中国最大的淡水湖Po阳湖的急剧下降引起了长江中下游水供应和生态危机的广泛关注。为了帮助解决有关湖泊低水位问题的辩论,当前的研究定量评估了the阳湖地区不断变化的下垫面引起的水位下降。首次全面研究了湖泊水位变化的大小,时空差异,趋势发展,背景机制及其成因。结果表明,在2000-2014年期间,该湖区下垫面的变化导致该湖年平均水位下降0.26m〜0.75m,这表明季节和空间差异很大。大量采砂导致的出水横截面扩大是影响北部湖水位下降的主要原因。同时,水面梯度的增加应归因于南部湖泊水位的下降。每年湖水位下降的长期增长趋势反映了由于采砂活动向南持续移动所引起的湖底地形变化的累积效应。

著录项

  • 来源
    《Water Resources Management》 |2018年第4期|1467-1482|共16页
  • 作者单位

    State Key Laboratory of Hydrology–Water Resources and Hydraulic Engineering, Hohai University,Department of Geosciences, University of Oslo,Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology;

    Department of Geosciences, University of Oslo;

    Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology;

    Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology;

    Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology;

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

    Water resources; Water level; Sand mining; BPNN model; Poyang Lake;

    机译:水资源水位采砂BPNN模型Po阳湖;

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