摘要
获取精准的降水空间分布信息对于水资源管理和洪涝灾害预报预警具有重要意义。地形变化对降水空间分布有显著影响,然而传统的降水空间插值方法难以考虑这种影响。基于黄土高原气象站1988~2017年长序列降水观测数据和高精度地形数据,建立了综合考虑站点与插值目标网格的位置、高程及坡向关系的降水空间插值方法(Angular Distance Aspect Gradient Weighting method, ADAGW),并在黄土高原地区进行应用。结果表明:相较于传统空间插值方法,ADAGW方法能够更有效地捕捉复杂地形下的降水空间分布。该方法在日尺度、月尺度、年尺度上的空间插值结果的决定性系数(R2)和均方根误差(RMSE)均优于传统降水空间插值方法;地形对于降水分布的影响与时间尺度有关,当时间尺度较长时,地形因素对降水分布的影响更为明显。该方法考虑了高程及坡向对降水空间分布的影响,有助于获取更精准的面雨量分布。
Obtaining accurate spatial distribution of precipitation is valuable for water resources management and flood disaster prediction.Traditional precipitation interpolation methods take no account of the influence of topography which has an obvious influence on the spatial distribution of precipitation.Based on the long-term precipitation observation data and high-precision topographic data of meteorological stations in the Loess Plateau from 1988 to 2017,an Angular Distance Aspect Gradient Weighting method(ADAGW)of precipitation was established,which comprehensively considered the relationship between the station and the targeted interpolation grid,including the position,elevation and slope direction,and the new model was applied in the Loess Plateau.Results show that compared with traditional interpolation methods,its adaptation to the topographic correction enhances the capability of capturing the spatial pattern of precipitation in regions with complex topography.As indicated by higher R 2 and smaller RMSEs,the model has better interpolation effects at daily,monthly and annual scales.Besides,the effect of topography on precipitation distribution is more significant at longer time scales.The method has considered the influence of elevation and slope direction on the spatial distribution of precipitation,which is helpful to obtain more accurate areal rainfall distribution.
作者
韩俊太
侯颖
王政荣
杨雨亭
HAN Juntai;HOU Ying;WANG Zhengrong;YANG Yuting(Department of Hydraulic Engineering,Tsinghua University,Beijing 100084,China)
出处
《人民长江》
北大核心
2023年第7期75-80,共6页
Yangtze River
基金
国家重点研发计划项目(2019YFC1510604)。
关键词
降水分布
地形变化
空间插值
黄土高原
precipitation distribution
topographic change
spatial interpolation
Loess Plateau
