西江流域CMORPH降水产品精度评估及水文效应研究  

Accuracy assessment and hydrological effect study of CMORPH precipitation products in Xijiang River Basin

作　　者：赵胤懋 廖卫红[2] 田雨[2] 雷晓辉[2] 王浩[2] ZHAO Yinmao;LIAO Weihong;TIAN Yu;LEI Xiaohui;WANG Hao(School of Civil Engineering, Tianjin University, Tianjin 300072, China;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038 , China)

机构地区：[1]天津大学建筑工程学院,天津300072 [2]中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京100038

出　　处：《水利水电技术》2019年第2期88-94,共7页Water Resources and Hydropower Engineering

基　　金：国家重点研发计划资助(2017YFC0405900);自然科学基金项目(51709273);广东省水利创新科技项目(2017-06)

摘　　要：为分析卫星降水产品在西江流域的应用精度,为无资料地区的径流模拟提供数据支撑,结合基于雨量计监测的逐日降水产品CGDPA,对降水产品CMORPH进行多尺度精度评估,并以此驱动CREST模型进行径流模拟。结果显示:CMORPH能较好地再现西江流域日降水空间分布,日尺度上相关系数为0.71,月尺度上相关系数提高到0.88,在4季尺度上相关系数分别为0.52、0.75、0.67、0.47;在西江流域各降水等级频率计算中,除近乎无雨和微量降雨出现较大偏差外,其余等级频率计算结果与CGDPA近似。CMORPH日降水事件探测能力是POD为0.69、FAR为0.24、CSI为0.56。水文模拟效应中,CGDPA和CMORPH在整个观测时期内的纳什效率系数和相关系数分别为0.81和0.91、0.80和0.92。由此可得如下结论:CMORPH和CGDPA的相关系数在日月尺度上较高,但会随着季节的不同而发生变化。CMORPH的日降水探测能力较好,且在水文效应评估中取得了较好的效果。最终证明,CMORPH在西江流域可替代地面雨量计数据,从而在降水数据获取上提供便利。In order to analyze the application accuracy of satellite precipitation products in Xijiang River Basin and provide data support for runoff simulation made in the area without data, multi-scale accuracy assessment on CMORPH is carried out in combination with the rain gauge monitoring-based daily precipitation product--CGDPA, by which CREST model is driven to simulate the runoff. The result shows that CMORPH can better reproduce the spatial distribution of the daily precipitation in Xijiang River Basin, for which the correlation coefficient on the daily scale is 0.71 and the correlation coefficient on the monthly scale is increased to 0.88, while the correlation coefficients on the four season scales are 0.52, 0.75, 0.67, and 0.47 respectively. In the calculation of the frequency of each precipitation level in Xijiang River Basin, except larger deviations occur from almost no-rain and light rainfall, the calculation results of the other frequency levels are approximate to those from CGDPA. The CMORPH daily precipitation event detection capability: POD is 0.69, FAR is 0.24 and CSI is 0.56.Among the hydrological simulation effects, the Nash efficiency coefficients and correlation coefficients of CGDPA and CMORPH during the whole observation period are: 0.81 and 0.91, 0.80 and 0.92.From this, the following conclusions can be made: the correlation coefficient between CMORPH and CGDPA is higher on the daily and monthly scales, but it is to be changed along with the variation of season. The daily precipitation detection capacity of CMORPH is better, from which better effect is obtained in the hydrological effect assessment. It is finally demonstrated that CMORPH can replace the data from surface rain gauge in Xijiang River Basin, thus facilitate the acquisition of the precipitation data concerned.

关 键 词：CMORPH CREST模型 水文效应 西江流域 

分 类 号：TV11[水利工程—水文学及水资源]