淮河流域水文随机方法的径流图化(英文)

编号 zgly0001585493

文献类型 期刊论文

文献题名 淮河流域水文随机方法的径流图化(英文)

作者 严子奇  夏军  LarsGOTTSCHALK 

作者单位 InstituteofGeographicSciencesandNaturalResourcesResearch  CAS  GraduateUniversityofChineseAcademyofSciences  DepartmentofGeosciences  UniversityofOslo 

母体文献 Journal of Geographical Sciences 

年卷期 2011年03期

年份 2011 

分类号 P333.9 

关键词 krigingmethod  hydro-stochastic  runoff  waterbalance  HuaiheRiverBasin 

文摘内容 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 de-veloping 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 proce-dures coupled with water balance and data uncertainty analyses. It is proved by an applica-tion 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 con-straint to be able to account for the lateral water balance along the rivers. Grid runoff map with 10 km × 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 be-cause it avoids the complexity of hydrological models and does not depend on the meteoro-logical data.