首页> 外文会议>Asian conference on remote sensing;ACRS 2007 >ASSESSMENT THE EFFICIENCY OF 6 INTERPOLATION METHODS FOR ESTIMATION OF ANNUAL RAINFAL STATIONS USING GEOGRAPHY INFORMATION SYSTEM (GIS) (A CASE STUDY ON 21 RAINFALLS STATION IN GOLESTAN PROVINCE,IRAN)
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ASSESSMENT THE EFFICIENCY OF 6 INTERPOLATION METHODS FOR ESTIMATION OF ANNUAL RAINFAL STATIONS USING GEOGRAPHY INFORMATION SYSTEM (GIS) (A CASE STUDY ON 21 RAINFALLS STATION IN GOLESTAN PROVINCE,IRAN)

机译:利用地理信息系统(GIS)评估6种插值方法估算年降水量的效率(以伊朗Golestan Province的21个降水站为例)

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Precipitation is one of the most important entrance parameters of a watershed basin. Concentrated (point) rainfall measurements, unsuitable dispersion of rainfall stations and also lack of connection roads to some of areas for measurements, cause that the interpolation for some areas become essential. The field statistical methods because of consideration to stations situation and spatial correlation, it can be suitable but there are some limitation because of insufficient data. In this study in order to assessment of efficiency of different interpolation methods for estimation of rainfall stations without data in north of Iran, 21 rainfall station with yearly rainfall data were selected, while 4 stations were choose as evidences. In next step in Ilwis version 3.1, according to the 17 stations (except 4 evidence stations) data for each 4 evidence rainfall stations was created for Golestan province, in this step for interpolation, 6 methods were applied as follows: Nearest Point 'Universal Kriging 'Kriging 'Moving Surface 'Moving Average and Trend Surface. Finally the estimated value for 4 evidence stations compared with the evidence data (recorded data). The assessments showed that Universal Kriging method had the least error in comparison with the other methods in this case.
机译:降水是流域盆地最重要的入口参数之一。集中(点)雨量测量,雨量站的不适当分布以及到某些测量区域的连接道路的缺乏,导致某些区域的插值变得至关重要。现场统计方法由于考虑到站的情况和空间的相关性,可能是合适的,但由于数据不足,存在一定的局限性。在这项研究中,为了评估不同插值方法的效率,以评估伊朗北部没有数据的降雨站,选择了21个具有年度降雨数据的降雨站,而选择了4个站作为证据。在Ilwis 3.1版的下一步中,根据Golestan省每4个证据降雨站的17个站(除4个证据站)的数据,在此步骤进行插值,应用了6种方法,如下所示:Nearest Point'Universal Kriging 'Kriging'移动面'移动平均值和趋势面。最后,将4个证据站的估计值与证据数据(记录的数据)进行比较。评估表明,在这种情况下,与其他方法相比,通用克里格方法具有最小的误差。

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