...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Water and Energy International >GENERALIZATION OF RELATIONSHIP BETWEEN ANTECEDENT MOISTURE AND RAINFALL FOR SCS - CN - BASED RAINFALL-RUNOFF MODEL
【24h】

GENERALIZATION OF RELATIONSHIP BETWEEN ANTECEDENT MOISTURE AND RAINFALL FOR SCS - CN - BASED RAINFALL-RUNOFF MODEL

机译：基于SCS的前期水分与降雨关系的广义化-基于CN-的降雨径流模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

One of the popular methods to estimate the depth of surface runoff for a given rainfall is the soil Conservation SerciceCurve Number (SCS-CN) method. In this method, variation of antecedent moisture condition (AMC) is not continuous. Though the Mishra-Singh model avoids this problem, its expression for computation of antecedent moisture (Mj is based on the assumptions, which are away from reality. Recently, Sahu et al. suggested better continuous relationship between M and the antecedent 5-day rainfall (P_5). But the drawback of this relationship is that it completely ignores the effect of potential maximum retention (S) on M. In reality, higher is the S, higher will be the M, for a given amount of P_5. The present study generalizes the relationship between M and P_5. Coupling this new relation with the basic equations of the Mishra-Singh model, a new model is proposedand compared for performance with SCS-CN method, Mishra-Singh model, and Sahu et al. model, by applying them to a large number of small watersheds of USA. The proposed new model has been found to perform equally well to Sahu et al. model, and better than Mishra-Singh and SCS-CN models. Since the proposed model is hydrologically better than the others, the former can be preferred to the latter.
机译：估算给定降雨的地表径流深度的一种流行方法是土壤保护SerciceCurve数（SCS-CN）方法。在这种方法中，先前湿度条件（AMC）的变化是不连续的。尽管Mishra-Singh模型避免了这个问题，但其用于计算前期水分的表达式（Mj是基于与现实不符的假设。最近，Sahu等人提出了M与前期5天降雨之间更好的连续关系。 （P_5）。但是，这种关系的缺点是，对于给定的P_5量，S越高，则M越高，则M越高。研究总结了M和P_5之间的关系，并将这一新关系与Mishra-Singh模型的基本方程式结合，提出了一个新模型，并与SCS-CN方法，Mishra-Singh模型和Sahu等人的模型进行了性能比较，通过将其应用到美国的大量小流域，发现该新模型的性能与Sahu等人模型相同，并且优于Mishra-Singh和SCS-CN模型。比其他人前者可能优于后者。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号