Abstract
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.
Original language | English |
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Title of host publication | 28th Asian Conference on Remote Sensing (ACRS 2007) |
Subtitle of host publication | 12 - 16 November 2007, Kuala Lumpur, Malaysia [proceedings] |
Pages | 1374-1379 |
Number of pages | 6 |
Publication status | Published - 1 Dec 2007 |
Externally published | Yes |
Event | Asian Conference on Remote Sensing 2007 - Kuala Lumpur, Malaysia Duration: 12 Nov 2007 → 16 Nov 2007 Conference number: 28th |
Publication series
Name | 28th Asian Conference on Remote Sensing 2007, ACRS 2007 |
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Volume | 2 |
Conference
Conference | Asian Conference on Remote Sensing 2007 |
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Abbreviated title | ACRS 2007 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 12/11/07 → 16/11/07 |
Keywords
- Geography Information System (GIS)
- Golestan Province
- Interpolation
- Rainfall