基于遥感数据的洪泽湖库容曲线推求
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TP79

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国家自然科学基金(41001292);安徽高校自然科学研究重点项目(KJ2015A267, 113052015KJ04)


Water level-capacity curve of Hongze Lake based on remote sensing data
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    摘要:

    基于洪泽湖区域21景ETM+遥感影像,解译得到洪泽湖的水面变化时间序列数据;结合三河闸(闸上)实测水位数据,推导了洪泽湖水位-水面面积函数关系,运用积分方法得到洪泽湖库容曲线,并与现有库容曲线进行了对比分析。结果表明:洪泽湖周边水域圈圩养殖区是早期形成的,2000—2015年间圈圩总体上得到一定的控制,但在洪泽湖西岸有进一步加剧的趋势;水位-水面面积函数的选取对低水位水面面积推算有影响,进而对湖泊死库容计算产生累计误差影响;遥感影像数据越丰富、影像之间的湖泊水位差越小,则库容曲线越准确。

    Abstract:

    Based on a 21 King ETM+ remote sensing image, time series data of water level variation were interpreted. The water level-area function was derived using the measured water level data of the Sanhe Sluice, a new water level-capacity curve of Hongze Lake was obtained with the integral method, and the water level-capacity curve was compared with the existing curve. The results show that the culture area of the captive polder around Hongze Lake was formed early, and the captive polder condition was improved from 2000 to 2015, but shows an aggravation trend in the western part of Hongze Lake. The selection of the water level-area function has an influence on the calculation of the water surface area with a lower water level, resulting in an error in the calculation of the dead storage of the lake. When the remote sensing image data are more abundant, the difference between lake water levels in different images is smaller, and the water level-capacity curve is more accurate.

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戚晓明,杨兰,白夏,等.基于遥感数据的洪泽湖库容曲线推求[J].水利水电科技进展,2017,37(3):77-83.(QI Xiaoming, YANG Lan, BAI Xia, et al. Water level-capacity curve of Hongze Lake based on remote sensing data[J]. Advances in Science and Technology of Water Resources,2017,37(3):77-83.(in Chinese))

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  • 收稿日期:2016-05-15
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  • 在线发布日期: 2017-05-07
  • 出版日期: 2017-05-10