Regional Runoff Characteristics in Zhengzhou City Based on SCS-CN Model

Ma Lijun; Wang Chuantao; Wang Wenjun; Zhang Lili; Huang Haiping; Zhang Shengtang

doi:10.13961/j.cnki.stbctb.20220608.001

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Regional Runoff Characteristics in Zhengzhou City Based on SCS-CN Model

- Regional Runoff Characteristics in Zhengzhou City Based on SCS-CN Model
- Bulletin of Soiland Water Conservation Vol. 42, Issue 4, Pages: 203-209(2022)
- 作者机构：
  
  1. 山东科技大学地球科学与工程学院,山东,青岛,266590
  2. 南充职业技术学院,四川,南充,637131
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20220608.001
  CLC： P933;P333;S157.1
- Published：2022
- 稿件说明：
移动端阅览
Ma Lijun, Wang Chuantao, Wang Wenjun, et al. Regional Runoff Characteristics in Zhengzhou City Based on SCS-CN Model[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 203-209.
DOI：

Ma Lijun, Wang Chuantao, Wang Wenjun, et al. Regional Runoff Characteristics in Zhengzhou City Based on SCS-CN Model[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 203-209. DOI： 10.13961/j.cnki.stbctb.20220608.001.

摘要

[目的] 根据郑州市下垫面产流情况研究该市内涝成因，为市区重要基础设施的暴雨内涝灾害风险防范与运行管理提供科学参考。[方法] 利用2016—2020年的气象资料和2020年的土壤、坡度、土地利用资料，采用SCS-CN水文模型，计算下垫面径流量，研究坡度、土壤、土地利用与径流量的关系。[结果] ①2016—2020年郑州地表径流分布整体上呈“东北高，西南低”“城区高，山区低”的趋势，除水域外，径流量主要分布在人类活动较密集区域。②较缓坡的径流最大。坡度贡献率与面积呈正相关。③郑州市土壤分为A (滨海风砂土)、B (黄绵土)、C (潮土等)、D (褐土性土)4类。D类径流最大，4类径流逐步呈上升趋势。土壤贡献率与面积呈正相关。郑州市主要为C类潮土，下渗率低。④SCS模型显示，前期土壤湿润程度越低，降雨下渗越多，径流越小。CN值越大，可能最大滞留量(S)越小，径流量越大。[结论] 郑州市地表产流在东北建设区域较为集中。产流越大，越易发生内涝。因此，应在产流集中的区域增加海绵砖、绿化带，及时修理排水管道。同时应推动郑州东南发展，以缓解郑州东北区域人类活动对地表产流的影响。

Abstract

[Objective] The causes of waterlogging in Zhengzhou City were studied in order to provide a reference for risk prevention and operation management of rainstorm waterlogging disasters in important parts of the urban infrastructure.[Methods] The SCS-CN hydrological model was used with meteorological data from 2016 to 2020

and with soil

slope

and land use data in 2020 to calculate the underlying surface runoff in Zhengzhou City and to study the relationship between slope

soil

land use and runoff.[Results] ① The distribution of surface runoff in Zhengzhou City from 2016 to 2020 showed patterns of "high in the northeast

low in the southwest" and "high in urban areas and low in mountainous areas". Runoff was mainly located in areas with more intensive human activities

except for water areas. ② Runoff was greatest on the gentle slopes. Slope contribution rate was positively correlated with area. ③ The soil in Zhengzhou City was divided into four categories:A (coastal aeolian sandy soil)

B (loess soil)

C (fluvo-aquic soil

etc.)

and D (cinnamon soil). The runoff of category D soil was the largest

and the four categories of soil all exhibited a gradual upward trend in runoff. There was a positive correlation between soil contribution rate and area. Zhengzhou City has primarily category C (fluvo-aquic) soil with low infiltration rate. ④ The SCS model showed that drier soil in the early stage leads to greater rainfall infiltration and less runoff. The larger the CN value

the smaller the S value (potential maximum retention or infiltration)

and the larger the runoff.[Conclusion] Surface runoff in Zhengzhou City was more concentrated in the northeast construction area. Greater runoff was more likely to cause waterlogging. Sponge bricks and green belts should be added to areas where runoff is concentrated

and drainage pipes should be repaired in a timely manner. Development of southeastern Zhengzhou City should be promoted to alleviate the impact of human activities on surface runoff in Northeastern Zhengzhou City.

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