首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于遥感与地理信息系统的SRM融雪径流模型在Alps山区流域的应用
引用本文:王建,马明国,Paolo Federicis.基于遥感与地理信息系统的SRM融雪径流模型在Alps山区流域的应用[J].冰川冻土,2001,23(4):436-441.
作者姓名:王建  马明国  Paolo Federicis
作者单位:1. 中国科学
2. 意大利Padova大学土地与农林环境系,
基金项目:中国科学院知识创新工程项目;CACX210018;
摘    要:融雪水在水资源利用中扮演着及其重要的角色,遥感技术的发展使得大面积监测雪盖成为河能,选择Alps意大利境内的Rienza流域,利用SRM模型模拟春季融雪径流,区别传统对SRM模型的描述,参数选择和应用的研究方式,研究环境因素对这些参数的影响尤其是对度-日因子的影响以及它们之间的内在关系,重点讨论利用GIS和遥感数据获取SRM模型中的关键参数和因子,结论显示SRM模型模拟春季融雪径流的关键是精确地输入模型参数;遥感数据在提取雪盖面积的过程中,消除地形影响是必要的;从SRM模型的应用状况分析,精确地获取雪盖面积是影响模拟结果的关键。

关 键 词:融雪径流模型  GIS  遥感  雪盖  水资源  SRM模型  地理信息系统
文章编号:1000-0240(2001)04-0436-06
修稿时间:2001年5月28日

Simulating Snowmelt Runoff in Mountainous Watershed of Italy Using GIS and Remote Sensing Data
WANG Jian ,MA Ming guo ,Paolo Federicis.Simulating Snowmelt Runoff in Mountainous Watershed of Italy Using GIS and Remote Sensing Data[J].Journal of Glaciology and Geocryology,2001,23(4):436-441.
Authors:WANG Jian  MA Ming guo  Paolo Federicis
Institution:WANG Jian 1,MA Ming guo 1,Paolo Federicis 2
Abstract:Snow meltwater plays a very important role in the effectual usage of the water resource. It is regarded widely in Europe. Now it is possible tomonitor snow cover in the large area. SRM(Snowmelt Runoff Model) has successfully simulatedmore than eighty basins,which are locatedin 25 countries. So it becomes the only snowmelt runoff model recommended by the World Meteorological Organization. In this paper the SRM is appliedto simulate snowmelt runoff in Rienza basin of Italy in spring. The emphasis in this paper is to apply GIS and remote sensing data asinput parameters and factors, resulting inimproving the accuracy of simulating. Abasin can be subdivided into several sub basins.The runoff effect of each sub basin could be controlledby the measurementof a hydro meteorological observation station. Meanwhile, the key environmental influence factors,such as degree day factor and depletion curve, would be discussed in detailfor a single sub basin. In the processing of remote sensing image, a topographic correction will improve the image interpretation. Using compensation method before supervised classification filters the non snow cells. Thussnow cover distribution maps could be obtained accurately. The result shows: 1) The key of simulating spring snowmelt runoff is inputting accurate parameters; 2) In the process of extractingsnow cover parameters from the remote sensing data, eliminating the effect of landformis important. For applying SMR in China, the urgencyis how to treatthe meteorological and hydrological parametersof the sub basins, in case of rarity of surface station data in most snow cover regions.
Keywords:snowmelt runoff model  GIS  remote sensing  sub  basin  snow  cover
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号