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华南地区滨江小流域降水量空间插值方法对比研究
引用本文:陈玲玲,蓝标,陈晓宏,张云,丁华龙,于海霞.华南地区滨江小流域降水量空间插值方法对比研究[J].水电能源科学,2014,32(9):6-10.
作者姓名:陈玲玲  蓝标  陈晓宏  张云  丁华龙  于海霞
作者单位:中山大学 水资源与环境研究中心, 广东 广州 510275;华南地区水循环和水安全广东普通高校重点实验室, 广东 广州 510275;深圳市防洪设施管理处, 广东 深圳 518005;中山大学 水资源与环境研究中心, 广东 广州 510275;华南地区水循环和水安全广东普通高校重点实验室, 广东 广州 510275;中山大学 水资源与环境研究中心, 广东 广州 510275;华南地区水循环和水安全广东普通高校重点实验室, 广东 广州 510275;中山大学 水资源与环境研究中心, 广东 广州 510275;华南地区水循环和水安全广东普通高校重点实验室, 广东 广州 510275;中山大学 水资源与环境研究中心, 广东 广州 510275;华南地区水循环和水安全广东普通高校重点实验室, 广东 广州 510275
基金项目:国家自然科学基金国际合作重大和重点项目(51210013,50839005);国家自然科学基金项目(41301627);国家科技支撑计划(2012BAC21B0103);水利部公益项目(201201094, 201301002-02);广东省科技厅项目(2010B050300010);广东省水利科技创新项目(2011-11, 2009-39);中英瑞气候变化适应项目广东气候变化风险评估及适应对策(ACCC/20100705-1)
摘    要:以华南地区典型小流域滨江流域为例,选取该流域及邻近区域2010年的21个雨量站降水量数据,采用传统水文学方法、确定性方法和地统计方法共3大类8种方法对滨江流域降水量进行空间插值,并采用交叉验证法检验以确定最适用该研究区的插值方法,同时分析了滨江流域的降水空间分布特征。结果表明,反距离加权法插值效果最佳,能较好地反映滨江流域的降水空间分布特征,而泰森多边形法插值效果相对较差;研究区内东南部降水量分布多于西北部和西南部,且在珠坑站周围达到最高值。

关 键 词:空间插值    小空间尺度    降水量    交叉验证法    滨江流域

Comparison Research Based on Different Spatial Interpolation Methods of Precipitation in Typical Small Watershed of South China
CHEN Lingling,LAN Biao,CHEN Xiaohong,ZHANG Yun,DING Hualong and YU Haixia.Comparison Research Based on Different Spatial Interpolation Methods of Precipitation in Typical Small Watershed of South China[J].International Journal Hydroelectric Energy,2014,32(9):6-10.
Authors:CHEN Lingling  LAN Biao  CHEN Xiaohong  ZHANG Yun  DING Hualong and YU Haixia
Affiliation:Center for Water Resources and Environment, Sun Yat-Sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Guangzhou 510275, China;Flood Control Facilities Management Office in Shenzhen City, Shenzhen 518005, China;Center for Water Resources and Environment, Sun Yat-Sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Guangzhou 510275, China;Center for Water Resources and Environment, Sun Yat-Sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Guangzhou 510275, China;Center for Water Resources and Environment, Sun Yat-Sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Guangzhou 510275, China;Center for Water Resources and Environment, Sun Yat-Sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Guangzhou 510275, China
Abstract:Based on the precipitation data of 21 gauging stations in 2010, this paper compared the effectiveness of eight different interpolation methods of precipitation in Binjiang River Basin, a typical small watershed in South China. And then the optimized scheme was chosen according to the results of the cross validation. Finally, the spatial distribution characteristics of precipitation was analyzed. The results show that the inverse distance weight tension (IDW) is proved to be the best method, which can better reflects the actual distribution characteristics of the rainfall in Binjiang River Basin; however, Thiessen Polygon method is proved to be the worst among the eight methods; the southeast basin had a larger precipitation than the northwest and the southwest, but the maximum precipitation appeared around the Zhukeng Station.
Keywords:spatial interpolation  small spatial scale  precipitation  cross validation method  Binjiang River Basin
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