检索结果-南通市图书馆

Streamflow prediction in ungauged catchments by using the Grunsky method

International Soil and Water Conservation Research 2023年第4期11卷 700-712页

作者： Bruno K.Marchezepe AndréAlmagro AndréS.Ballarin Paulo Tarso S.Oliveira Department of Hydraulics and Sanitary Engineering São Carlos School of EngineeringUniversity of São PauloSão CarlosSPBrazil Faculty of Engineering Architecture and Urbanism and GeographyFederal University of Mato Grosso do SulMS79070-900Brazil

Establish a reliable rainfall-runoff relation capable of predicting runoff in ungauged basins is a matter of interest across the world for a long time and has been taking importance during the past decades.Regionalization approaches,hydrological models and machine learning techniques have been used to estimate runoff.However,returning some simplicity to the predictions might be necessary for practical uses.In this paper,we re-introduce C.E.Grunsky approach,developed in the early 1900s to predict runoff from values of precipitation on a two-equations system.Here,we analyze the Grunsky generalized method applied for 716 Brazilian catchments,on an interannual and monthly scales.First,we established the best method to find the rainfall-runoff relation coefficient for each catchment.Then,we evaluate the performance of the method on a local scale,i.e.,catchment by catchment.Lastly,we analyze the method of regionalization,by grouping the catchments into six hydrologically similar classes.For local scale,the Kling-Gupta Efficiency(KGE)values range from 0.87 to 0.93 on the interannual scale and is greater than 0.50 on the monthly scale.For the regionalized approach,KGE varies from 0.60 to 0.84 on an interannual scale.We also found suitable KGE values on a monthly scale,with more than 22%of catchments with KGE greater than 0.50,being the best performances in the Non-seasonal and Extremely-wet groups,and the worst performance in the Dry group.Our findings indicate that Grunsky approach is suitable to predict streamflow for Brazilian catchments on interannual and monthly scales.This simple and easy-to-use equation presents a reliable alternative to more complex methods to compute runoff by only using rainfall data.

关键词： Regionalization Hydrological group temporal scale Tropical basins

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Trends and scales of Observed Soil Moisture Variations in China

引用

Advances in Atmospheric Sciences 2008年第1期25卷 43-58页

作者：聂肃平罗勇朱江 Institute of Atmospheric Physics Chinese Academy of Sciences National Climate Center China Meteorological Administration

A new soil moisture dataset from direct gravimetric measurements within the top 50-cm soil layers at 178 soil moisture stations in China covering the period 1981 1998 are used to study the long-term and seasonal trends of soil moisture variations, as well as estimate the temporal and spatial scales of soil moisture for different soil layers. Additional datasets of precipitation and temperature difference between land surface and air （TDSA） are analyzed to gain further insight into the changes of soil moisture. There are increasing trends for the top 10 cm, but decreasing trends for the top 50 cm of soil layers in most regions. Trends in precipitation appear to dominantly influence trends in soil moisture in both cases. Seasonal variation of soil moisture is mainly controlled by precipitation and evaporation, and in some regions can be affected by snow cover in winter. Timescales of soil moisture variation are roughly 1-3 months and increase with soil depth. Further influences of TDSA and precipitation on soil moisture in surface layers, rather than in deeper layers, cause this phenomenon. Seasonal variations of temporal scales for soil moisture are region-dependent and consistent in both layer depths. Spatial scales of soil moisture range from 200-600 km, with topography also having an affect on these. Spatial scales of soil moisture in plains are larger than in mountainous areas. In the former, the spatial scale of soil moisture follows the spatial patterns of precipitation and evaporation, whereas in the latter, the spatial scale is controlled by topography.

关键词： soil moisture trend temporal scale spatial scale

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Review of Wind Power Forecasting Methods:From Multi-spatial and temporal Perspective

Review of Wind Power Forecasting Methods:From Multi-spatial ...

引用

第36届中国控制会议

作者： Zhaoyu Jiang Qing-Shan Jia Xiaohong Guan Center for Intelligent and Networked Systems(CFINS) Department of AutomationTsinghua National Laboratory for Information Science and TechnologyTsinghua University MOE KLINNS Lab Xi'an Jiaotong University

ISBN: (纸本)9781538629185

Wind power is one of the most popular renewables and occupies a great proportion in the total capacity of the grid system.Secure operations of the grid system such as scheduling and dispatching dependent much on the prediction accuracy of power generation.This paper reviews wind power forecasting methods in multi-spatial scales and multi-temporal scales.In different spatial scales,methods for a single turbine,a wind farm,and even a large wind power generation area are considered in three parts respectively.In each part,firstly,forecasting methods are divided into methods with only historical wind information and methods with additional meteorological information,and then,classified up to four different temporal scales.Discussion about the similarity and discrepancy of these methods are also presented at the end of each part.Finally,this paper gives two examples of real applications where wind power forecasting methods are significant.

关键词： Wind power forecasting Forecast method temporal scale Spatial scale Review

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：