首页> 外文会议>Proceedings of the 22nd Asian Conference on Remote Sensing >HYDROLOGICAL MODELING USING REMOTE SENSING AND GIS
【24h】

HYDROLOGICAL MODELING USING REMOTE SENSING AND GIS

机译:基于遥感和GIS的水文建模

获取原文

摘要

Accurate modeling will require estimation of the spatial and temporal distribution of the water resources parameters. During the last decades engineers and planners have shown the increasing interest of applying Geographic Information Systems (GIS) and satellite based Remote Sensing (RS) technologies to extract land surface parameters, which exist as a threshold in early days to approach reasonable results in hydrologic modeling. With the advancement of the computer technology, GIS and RS have become efficient tools to integrate the spatial and non-spatial databases for the hydrological modeling. In this study a hydrological model was developed for the Bata River basin, which is one of the tributaries of the Yamuna river basin in India. Infiltration losses, Unit hydrograph and river routing are the main model components. ILWIS, ERDAS and AutoCAD Map software were used. Satellite based RS and GIS techniques were used to estimate the spatial variation of the hydrological parameters, which are used as input to the model. Survey of India (SOI) topomaps, field data, IRS LISS 111multy temporal satellite data for rabi and kharief seasons and IRS pan data were used. SCS curve number and unit hydrograph methods were used for the infiltration losses and synthesis of unit hydrographs respectively. The complete watershed was divided into 10 sub areas, where hydrographs were synthesized by routing the hydrographs along the river reach. Muskingum hydrological routing method was used for river routing. The model is capable of forecasting the runoff for given event of rainfall and deriving the hydrographs for the required duration.
机译:准确的建模将需要估算水资源参数的时空分布。在过去的几十年中,工程师和规划师对使用地理信息系统(GIS)和基于卫星的遥感(RS)技术提取地表参数的兴趣日益浓厚,这些参数在早期就作为阈值而存在,以便在水文建模中取得合理的结果。 。随着计算机技术的进步,GIS和RS已成为整合空间和非空间数据库以进行水文建模的有效工具。在这项研究中,为巴塔河流域开发了一种水文模型,巴塔河流域是印度亚穆纳河流域的支流之一。入渗损失,单位水位和河道是主要的模型组成部分。使用了ILWIS,ERDAS和AutoCAD Map软件。基于卫星的RS和GIS技术被用来估算水文参数的空间变化,这些水文参数被用作模型的输入。使用印度(SOI)地形调查,现场数据,IRS LISS 111多个狂犬病季节和kharief季节的时态卫星数据以及IRS泛数据。分别采用SCS曲线数和单位水位图方法分别计算了入渗损失和单位水位图的合成量。整个流域被划分为10个子区域,通过沿河段布置水文图来合成水文图。马斯金格(Muskingum)水文路由方法用于河流路由。该模型能够针对给定的降雨事件预测径流,并在所需的持续时间内得出水位图。

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