Rainfall-Runoff Calculation of Alun River Basin Based on Distributed Hydrological Model

HUANG Jinbai; Wang Bin; WEN Jiawei; ZHU Shijiang; ZHEN Ziqiang

doi:10.13961/j.cnki.stbctb.2015.01.042

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Rainfall-Runoff Calculation of Alun River Basin Based on Distributed Hydrological Model

- Rainfall-Runoff Calculation of Alun River Basin Based on Distributed Hydrological Model
- Bulletin of Soiland Water Conservation Vol. 35, Issue 1, Pages: 224-229(2015)
- 作者机构：
  
  1. 扬州大学水利与能源动力工程学院,江苏,扬州,225009
  2. 东北农业大学水利与建筑学院,黑龙江,哈尔滨,150030
  3. 扬州大学信息工程学院,江苏,扬州,225009
  4. 三峡大学水利与环境学院,湖北,宜昌,443002
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2015.01.042
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
HUANG Jinbai, Wang Bin, WEN Jiawei, et al. Rainfall-Runoff Calculation of Alun River Basin Based on Distributed Hydrological Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(1): 224-229.
DOI：

HUANG Jinbai, Wang Bin, WEN Jiawei, et al. Rainfall-Runoff Calculation of Alun River Basin Based on Distributed Hydrological Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(1): 224-229. DOI： 10.13961/j.cnki.stbctb.2015.01.042.

摘要

[目的] 为黑龙江省西部半干旱区季节性地表径流计算提供科学的方法

并推求该区雨季各月的径流系数。[方法] 基于对阿伦河流域下垫面的实际调查

对土壤垂直剖面模型化

利用GIS构建研究区DEM及河网

以运动波理论的基础方程式构建降雨-径流计算方法

以对观测流量的数值模拟检验模型实用性。通过对2012和2013年5-10月降雨-径流计算结果的分析

分别推求了各月径流量和径流系数。[结果] 模型计算精度可以达到误差基准允许的范围之内(<0.03);7

8月的月径流系数在0.5以上

计算时段内的径流量分别占各年总降水量的34.2%和34.7%。[结论] 构建的降雨-径流数值模型

量化了计算时期内各月的径流系数

适用于对研究区降雨-径流过程的计算。

Abstract

[Objective] To provide a scientific method for surface runoff calculation and to estimate monthly runoff coefficient in rainy season for the semiarid region of the Western Heilongjiang Province.[Methods] The Alun River basin which flows through the Western Heilongjiang Province was chosen as the study area. Modeling for the vertical soil profile was achieved based on investigating the physical properties of the underlying surface. Digital elevation model(DEM) and river channel network of the study area was generated by GIS-ArcMap. Algorithm on rainfall-runoff was established by kinematic wave equations. Model validation was carried out by numerical simulation for the observed flow. Monthly runoff and runoff coefficient were estimated through analyzing runoff calculation results in the period from May to October in 2012 and 2013.[Results] The model accuracy was within the allowable range of the error criterion(<0.03); Monthly runoff coefficient in July and August were more than 0.5; Runoff in the period from May to October accounted for 34.2% and 34.7% of annual total precipitation in 2012 and 2013

respectively.[Conclusion] The developed numerical model for rainfall-runoff calculation can be applied to the study area and monthly runoff coefficient in the study period.

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references

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