首页> 外文期刊>Revista rvore >Caracteriza??o morfométrica da bacia hidrográfica do rio Debossan, Nova Friburgo, RJ
【24h】

Caracteriza??o morfométrica da bacia hidrográfica do rio Debossan, Nova Friburgo, RJ

机译:Debossan河水盆腔的特征,Morphometric,Nova Friburgo,RJ

获取原文
           

摘要

The objective of this work was to perform a morphometric characterization based on some physical parameters. In order to do so, a Hydrologically Consistent Digital Elevation Model (HCDEM) was generated from IBGE topographical maps, scale 1:50.000, using as database and analysis the system of geographic information, by means of the ArcVIEW and Arc/INFO version 8.3 systems. From this, some morphometric parameters of a previous study on the hydrologic behavior of the watershed were calculated. The drainage area was 9,9156 Km2 and 17,684 km in perimeter. The Debossan river watershed was proven not easily subject to floods as the compacity coefficient was far from the unit (1.5842) and its shape factor presented a low value (0.3285). Such fact can still be proven by the circularity index value (0.3985). The drainage density was 2,3579 Km/Km2, showing that the watershed has average draining capacity. The drainage system forms a dendritic pattern. This pattern occurs in high lands, in which the regolith and the parent rock relatively provide a uniform resistance to erosion. The more elongated watershed shape, as the circularity index, shape factor and compacity coefficient, indicates that the rainwater volume that falls within the watershed is concentrated in different points, contributing to reduce rain intensities that could cause greater flow variations.
机译:这项工作的目的是基于一些物理参数进行形态学表征。为此,从冰费地形地图中产生水文一致的数字高度模型(HCDEM),使用AS数据库和分析地理信息系统,通过ArcView和Arc / Info版本8.3系统来分析地理信息系统。由此,计算了先前研究流域水文行为的一些形态学参数。排水区为9,9156 km2,在周边为17,684公里。被证明,由于繁荣系数远离单位(1.5842),因此德扬河流域不容易受到洪水,其形状因素呈现低值(0.3285)。这些事实仍然可以通过圆形指数值(0.3985)来证明。排水密度为2,3579公里/平方公里,显示流域的平均排水能力。排水系统形成树枝状图案。这种模式发生在高地的高地,其中重新旋转和母岩相对提供均匀的侵蚀抗性。随着圆形指数,形状因子和厚度系数,更细长的流域形状表明,流域内落在流域内的雨水体积集中在不同的点,有助于减少可能引起更大流动变化的雨强度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号