文章摘要
白天,吴雅文,金牧青,郑琳琳,田国行.漯河市规划区雨洪格局空间分布特征综合量化研究[J].水土保持通报,2018,38(5):269~274,287
漯河市规划区雨洪格局空间分布特征综合量化研究
A Quantitative Study on Spatial Distribution of Rain Flood Pattern in Luohe Planning Area
投稿时间:2018-04-12  修订日期:2018-05-08
DOI:10.13961/j.cnki.stbctb.2018.05.043
中文关键词: GIS数据库  SWMM水文分析  SCS-CN模型  雨洪格局特征  漯河规划区
英文关键词: GIS database  SWMM hydrologic analysis  SCS-CN model  flooding pattern characteristics  Luohe planning area
基金项目:国家自然科学基金项目“郑州市绿色空间布格局对城市微气候的影响机制”(31470029);河南省交通厅重点科技攻关项目(2015J02)
作者单位E-mail
白天 河南农业大学 林学院, 河南 郑州 450002  
吴雅文 河南农业大学 林学院, 河南 郑州 450002  
金牧青 河南农业大学 林学院, 河南 郑州 450002  
郑琳琳 河南农业大学 林学院, 河南 郑州 450002  
田国行 河南农业大学 林学院, 河南 郑州 450002 tgh0810@163.com 
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中文摘要:
      [目的]探索城市雨洪格局空间分布规律,为海绵城市建设提供参考。[方法]建立GIS数据库,ArcGIS空间模拟与SCS-CN,SWMM模型相结合,定量分析20 a重现期和2 h,85.43 mm降雨,漯河规划区产流和积水分布特征。[结果]研究区径流量和径流系数(相等)、径流体积、峰值流量、积水区域的自相关Moran’s I系数分别为0.338(p<0.001),0.142(p<0.001),0.101(p<0.001),0.918(p<0.001),表明产流与积水分布均呈现显著集聚性,土地类型和管网分布对产流影响大于积水过程,而地形影响则相反;径流量和径流系数由中心向外递减趋势,径流体积与峰值流量受汇水区面积和城市管网分布影响;高产流风险区不透水面占该区域82.73%,径流系数 > 0.7和不透水面 > 70%的汇水区集中在城市中心;积水区用地类型以农业用地、城市绿地、道路用地为主,分别占总面积的36.56%,21.39%,21.82%,分布特征存在显著差异。[结论]城市地表结构变化与城市产流和积水分布关系密切,综合量化方法可以直观地反映城市雨洪格局特征与趋势。
英文摘要:
      [Objective] To explore the spatial distribution of rain flood pattern in order to provide references for the construction of sponge city.[Methods] A GIS database was established, combined with ArcGIS simulation, SCS-CN and SWMM models, the characteristics of runoff and flood distribution were quantitatively analyzed in Luohe planning area.[Results] Total runoff and runoff coefficient (equal), runoff volume, total peak, inundation area of Moran's I coefficient was 0.338 (p<0.001), 0.142 (p<0.001), 0.101(p<0.001) and 0.918 (p<0.001), respectively, indicated that the distribution of runoff and inundation had a remarkable agglomeration. The impact of land type and pipe network distribution on runoff was greater than that of accumulated water process, but the influence of topography was opposite. Total runoff and runoff coefficient were decreased from center to outside. Total peak and runoff volume were affected by catchments area and pipe network distribution. The impermeable surface of the runoff high risked area accounted for 82.73% of the total area. The runoff risk decreased from center to outside. The catchment area of runoff coefficient > 0.7 and the inundation area > 70% were concentrated in the urban center. Agricultural land, urban green space and road land were the main types of land use in the inundation area, accounting for 36.56%, 21.39% and 21.82% of the total area, respectively, and there were significant difference in the distribution characteristics.[Conclusion] Urban surface change was closely related to the distribution of runoff and inundation. The comprehensive quantification method could directly reflect the characteristics and trends of urban flood pattern.
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