摘要
为分析郑州市不同极端降雨事件、不同土地利用类型及不同坡度下的地表径流量,以2020年8月7日、2021年7月20日、2022年7月22日极端降雨事件,2000~2020年土地利用类型以及相同降雨情景为基础,依据SCS-CN模型分析研究区地表径流量特征。结果表明,在三次极端降雨事件中,主城区的地表径流量均相对较大。受不透水面的影响,在主城区降雨量小于周边城区降雨量的情况下,主城区的地表径流量依然大于周边区域地表径流量。从地形坡度上讲,在三次极端降雨事件中,均以微坡(<5°)区域的平均地表径流量最大,且整体呈坡度越大平均地表径流量越小的趋势。在相同降雨条件下,2000~2020年郑州市平均地表径流量呈现逐渐增大的趋势,且主城区平均地表径流量增大趋势较明显;而随着降雨量的增加,郑州市地表径流量增加显著,且主城区地表径流量比周边城区增加更快。可见,在极端降雨条件下,郑州市主城区及微坡区域地表径流量一般相对较大,需要合理调节土地利用,增大林草覆盖比率。
To analyzing surface runoff under different extreme rainfall events,different land use types and different slopes in Zhengzhou City,based on the extreme rainfall events on August 7,2020,July 20,2021 and July 22,2022,the land use types from 2000 to 2020 and the same rainfall scenarios,the characteristics of surface runoff in the study area were analyzed using the SCS-CN model.The results show that in the three extreme rainfall events,the surface runoff in the main urban area was relatively large.Under the influence of impervious surface,the surface runoff of the main urban area is still greater than that of the surrounding area when the rainfall of the main urban area is less than that of the surrounding urban area.In terms of terrain slope,the average surface runoff in the micro-slope(<5°)area is the largest,and the overall trend is that the larger the slope,the smaller the average surface runoff.Under the same rainfall conditions,the average surface runoff in Zhengzhou City from 2000 to 2020 showed a gradual increase trend,and the average surface runoff in the main urban area increased significantly.With the increase of rainfall,the surface runoff of Zhengzhou City increased significantly,and the surface runoff of the main urban area increased faster than that of the surrounding urban area.Under the extreme rainfall conditions,the surface runoff in the main urban area and the micro-slope area of Zhengzhou City is generally relatively large.So,it is necessary to rationally adjust land use and increase the ratio of forest and grass coverage.
作者
王勇
李双权
胡婵娟
任杰
刘鹏
鄢创
赵畅
朱梦克
WANG Yong;LI Shuang-quan;HU Chan-juan;REN Jie;LIU Peng;YAN Chuang;ZHAO Chang;ZHU Meng-ke(Institute of Geographical Sciences,Henan Academy of Sciences,Zhengzhou 450052,China)
出处
《水电能源科学》
北大核心
2024年第9期6-10,共5页
Water Resources and Power
基金
河南省科学院基本科研业务费(220601046)
河南省软科学研究计划项目(232400411139)
河南省科技研发计划联合基金重点项目(225200810047)。