mappingrunoffbasedonhydrostochasticapproachforthehuaiheriverbasinchina

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	mappingrunoffbasedonhydrostochasticapproachforthehuaiheriverbasinchina
	Yan Ziqi 1; Xia Jun1 ; Lars GOTTSCHALK 2
	2011
Source Publication	journalofgeographicalsciences
ISSN	1009-637X
Volume	21 Issue:3 Pages:441
Abstract	Theoretical difficulties for mapping and for estimating river regime characteristics in a large-scale basin remain because of the nature of the variable under study: river flows are related to a specific area, i.e. the drainage basin, and are hierarchically organized in space through the river network with upstream-downstream dependencies. Another limitation is there are not enough gauge stations in developing countries. This presentation aims at developing the hydro-stochastic approach for producing choropleth maps of average annual runoff and computing mean discharge along the main river network for a large-scale basin. The approach applied to mean annual runoff is based on geostatistical interpolation procedures coupled with water balance and data uncertainty analyses. It is proved by an application in the upstream at Bengbu in the Huaihe River Basin, a typical large-scale basin in China. Hydro-stochasitic approach in a first step interpolates to a regular grid net and in a second step the grid values are integrated along rivers. The interpolation scheme includes a constraint to be able to account for the lateral water balance along the rivers. Grid runoff map with 10 km x 10 km resolution and the discharge map along the river with the 1 km basic length unit are the main results in this study. This kind of statistic approach can be widely used because it avoids the complexity of hydrological models and does not depend on the meteorological data.
Language	英语
Funding Project	[National Basic Research Program of China] ; [National Natural Science Foundation of China]
Document Type	期刊论文
Identifier	http://ir.igsnrr.ac.cn/handle/311030/128750
Collection	中国科学院地理科学与资源研究所
Affiliation	1.中国科学院地理科学与资源研究所 2.奥斯陆大学
First Author Affilication	中国科学院地理科学与资源研究所
Recommended Citation GB/T 7714	Yan Ziqi,Xia Jun,Lars GOTTSCHALK. mappingrunoffbasedonhydrostochasticapproachforthehuaiheriverbasinchina[J]. journalofgeographicalsciences,2011,21(3):441.
APA	Yan Ziqi,Xia Jun,&Lars GOTTSCHALK.(2011).mappingrunoffbasedonhydrostochasticapproachforthehuaiheriverbasinchina.journalofgeographicalsciences,21(3),441.
MLA	Yan Ziqi,et al."mappingrunoffbasedonhydrostochasticapproachforthehuaiheriverbasinchina".journalofgeographicalsciences 21.3(2011):441.

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