Mapping regional surface water volume variation in reservoirs in northeastern Brazil during 2009-2017 using high-resolution satellite images.

Mapping regional surface water volume variation in reservoirs in northeastern Brazil during 2009-2017 using high-resolution satellite images.
复制标题

利用高分辨率卫星图像绘制 2009-2017 年巴西东北部水库区域地表水量变化图

DOI:
10.1016/j.scitotenv.2021.147711
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发表时间:
2017
期刊:
The Science of the total environment
影响因子:
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通讯作者:
B. Waske
B. Waske
中科院分区:
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文献类型:
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作者:
S. Foerster;PAH Medeiros;JC. de Araújo;Z. Duan;A. Bronstert;B. Waske

文献摘要

相似文献

2011年开始并于2015年达到高潮的多年干旱是近几十年来半干旱的巴西东北部(NE)最严重和最长的干旱。本研究旨在调查2009年至2017年巴西东北部四个代表性区域的水库地表水量(SWV)变化,总面积约为10,000 km 2,包括2,140个水库(面积范围为0.003至21 km 2)。高分辨率(10米)数字高程模型(DEM)是根据2015年12月至12月期间获取的TanDEM-X数据生成的,以表示水库的测深图。水库中的水范围是根据2009-2017年期间获得的高分辨率(6.5米)RapidEye图像划定的。将这两个变量结合起来,得到储层SWV的精度为0.64 × 106 ~ 1.06 × 106 m3,相当于储层最大SWV的3.1%~ 5.6%。结果表明:(1)四个地区81%~ 99%的水库来自最大蓄水范围<50 ha的水库群,对区域水库SWV的贡献率为2%~ 59%。2009 - 2017年,四个地区的水库SWV以2.3 × 106-17.8 × 106 m3/年的速度下降;(3)水库SWV对区域陆地水收支(降水量与蒸散量之差)的响应不同。这项研究填补了2140个水库水深图的数据空白,无论其大小和水生植物覆盖率如何。SWV的变化来自这些水库在一段时间内,涵盖最近的干旱可以支持更好地准备干旱在巴西东北部和更好地了解半干旱地区的区域水文。
The multiple-year drought that started in 2011 and reached climax in 2015 was the most severe and prolonged one in the semiarid northeastern (NE) Brazil in recent decades. This study aimed to investigate the reservoir surface water volume (SWV) variation in NE Brazil from 2009 to 2017 in four representative regions covering a total area of approximately 10,000 km2there and encompassing 2,140 reservoirs (areas range from 0.003 to 21 km2). High-resolution (10 m) digital elevation models (DEMs) were generated from the TanDEM-X data acquired during October–December 2015 to represent the reservoirs' bathymetric maps. The water extents in the reservoirs were delineated from high-resolution (6.5 m) RapidEye images acquired during 2009–2017. The combination of the aforementioned two variables yielded reservoir SWV with an accuracy of 0.64 × 106–1.06 × 106m3, corresponding to 3.1%–5.6% of the maximum SWV in the reservoirs. The results showed that: 1) 81%–99% of the reservoirs in the four regions were from the groups with maximum water extent <50 ha and contributed 2%–59% of the regional reservoir SWV. In contrast, 0.6%–20% of the reservoirs were from the group of >50 ha and contributed 40%–98% to the regional SWV; 2) From 2009 to 2017, reservoir SWV in the four regions decreased at the rates of 2.3 × 106–17.8 × 106m3/year; and 3) The SWV in the reservoirs responded differently to the regional terrestrial water budget, i.e. the differences between precipitation and evapotranspiration (P-ET). This study filled the data gap of bathymetric maps for the 2140 reservoirs, regardless of their sizes and macrophyte coverage. The SWV variations derived in those reservoirs over a period covering the recent drought can support better preparedness for drought in NE Brazil and better understanding of the regional hydrology in semi-arid regions.