Applying the Autoregressive Model to Predict Runoff in Withered Season

Lu Xiaoqing; Feng Ping

您当前的位置：

首页 >

文章列表页 >

Applying the Autoregressive Model to Predict Runoff in Withered Season

- Applying the Autoregressive Model to Predict Runoff in Withered Season
- Bulletin of Soiland Water Conservation Vol. 12, Issue 6, Pages: 34-38(1993)
- 作者机构：
  
  1. 宁夏回族自治区固原水文水资源勘测大队
  2. 固原县,756000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1993
- 稿件说明：
移动端阅览
Lu Xiaoqing, Feng Ping. Applying the Autoregressive Model to Predict Runoff in Withered Season[J]. Bulletin of Soiland Water Conservation, 1993, 12(6): 34-38.
DOI：

Lu Xiaoqing, Feng Ping. Applying the Autoregressive Model to Predict Runoff in Withered Season[J]. Bulletin of Soiland Water Conservation, 1993, 12(6): 34-38. DOI：

摘要

该文根据颉河流域三关口水文站25年(1966年至1991年)的观测资料

应用建立的自回归模型

对枯季径流总量及各月平均流量进行预报

明显提高了预报精度。

Abstract

According to the hydrographical data investigated from Sanguankou hydrologic station in Xiehe basin during 26 years (1966-1991)

the mean discharge for every month and the total runoff amount for withered season in this area were predicted with autoregressive model. The predictive precision is improved remarkably.

关键词

Keywords

references

Views

1630

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Remote sensing monitoring and soil and water conservation effects of abandoned farmland in core black soil protection area of Jilin Province from 2000 to 2023

Spatiotemporal evolution and influencing mechanisms of coupling coordination of carbon reduction-pollution reduction-green expansion-economic growth in urban agglomeration in middle reaches of Yangtze River

Impact of resource-exhausted city transformation on net ecosystem productivity——A case study of Xuzhou City， Jiangsu Province

Spatiotemporal changes and driving mechanisms of vegetation cover in Dongting Lake area based on kNDVI and structural equation model

Causes and mitigation measures of group-occurring slope debris flows in Mentougou District， Beijing City

Related Author

No data

Related Institution

No data

⁰