Assessment of the geometry and volumes of small surface water reservoirs by remote sensing in a semi-arid region with high reservoir density
Assessment of the geometry and volumes of small surface water reservoirs by remote sensing in a semi-arid region with high reservoir density
复制标题
高水库密度半干旱地区小型地表水库几何形状和水量遥感评价
DOI：
10.1080/02626667.2019.1566727
复制
发表时间：
2019
影响因子：
3.5
通讯作者：
José Carlos De Araújo
中科院分区：
文献类型：
--
作者：
Pereira;Pedro Medeiros;Till Francke;Geraldo Ramalho;Saskia Foerster;José Carlos De Araújo
高蓄水区的水通量在很大程度上取决于水库的性质。然而，对于广大和偏远地区，这一信息往往无法获得。在这项研究中，在巴西的半干旱地区的小型地表水库的几何形状和体积估计使用遥感提取的地形和形状属性。利用回归模型和数据分类方法，对312座有地形资料的水库不同水位的水量进行了预测。利用幂函数描述储层形状容易高估储层体积，提出了一种修正的形状方程。在测试的方法中，推荐了四种基于性能和简单性的方法，其平均绝对百分比误差从24%到39%不等，而传统方法的误差为94%。尽管精确推导水库淹没面积的挑战，在高度水密环境中的水管理应受益于基于遥感的水量预测。
Water fluxes in highly impounded regions are heavily dependent on reservoir properties. However, for large and remote areas, this information is often unavailable. In this study, the geometry and volume of small surface reservoirs in the semi-arid region of Brazil were estimated using terrain and shape attributes extracted by remote sensing. Regression models and data classification were used to predict the volumes, at different water stages, of 312 reservoirs for which topographic information is available. The power function used to describe the reservoir shapes tends to overestimate the volumes; therefore, a modified shape equation was proposed. Among the methods tested, four were recommended based on performance and simplicity, for which the mean absolute percentage errors varied from 24 to 39%, in contrast to the 94% error achieved with the traditional method. Despite the challenge of precisely deriving the flooded areas of reservoirs, water management in highly reservoir-dense environments should benefit from volume prediction based on remote sensing.
登录
查看更多内容
DOI：
10.1016/j.scitotenv.2016.07.024
发表时间：
2016-11
期刊：
The Science of the total environment
影响因子：
--
作者：
Shuping Zhang;S. Foerster;P. Medeiros;J. C. de Araújo;M. Motagh;Bjoern Waske
通讯作者：
Shuping Zhang;S. Foerster;P. Medeiros;J. C. de Araújo;M. Motagh;Bjoern Waske
影响因子：
2.4
作者：
Costa Malveira, Vanda Tereza;de Araujo, Jose Carlos;Guentner, Andreas
通讯作者：
Guentner, Andreas
DOI：
10.1109/jstars.2014.2323819
发表时间：
2014-08-01
影响因子：
5.5
作者：
Heine, Iris;Francke, Till;Foerster, Saskia
通讯作者：
Foerster, Saskia
DOI：
--
发表时间：
1994
期刊：
影响因子：
--
作者：
François Molle
通讯作者：
François Molle
水库网络密集的半干旱盆地的洪水崩塌
影响因子：
6.4
作者：
Samuel J. Peter;José;Nuno A. M. Araújo;H. Herrmann
通讯作者：
H. Herrmann