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Rain gauge network evaluation and optimal design using spatial correlation approach in arid and semi-arid regions of Iran

机译:伊朗干旱和半干旱地区使用空间相关法的雨量计网络评估和优化设计

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摘要

The present study is aimed at evaluation of a rain gauge network in order to optimize a network design. In this regard, point rainfall estimations were assessed using a spatial correlation approach in the Kerman region, Iran. This approach was implemented based on monthly rainfall data for existing 117 rain gauge stations in the study area. The results revealed that the regular arrangement of rain gauges could provide the reliable values for accurate rainfall estimation. Low density of rain gauge combined with the low rainfall values may result in strong increase of the interpolation errors. Based on the existing rain gauge network, the relative mean error of observed rainfalls (E-a) is less than 5 % over the study area. The spatial interpolation errors (E-i) were considered to optimize the design of rain gauge network at the confidence level of 85 %, where the mean errors were exhibited from 8.5 to 14 % in districts A and B, respectively. On this basis, about 46 locations were proposed for allocation of new stations. Therefore, it was suggested to relocate about 20 existing stations in order to achieve an accurate design.
机译:本研究旨在评估雨量计网络,以优化网络设计。在这方面,在伊朗克尔曼地区使用空间相关方法评估了点降雨估计。该方法是根据研究区域内现有117个雨量计站的月降雨量数据实施的。结果表明,常规的雨量计布置可以为准确的雨量估算提供可靠的数值。雨量计的低密度加上低降雨值可能会导致插值误差大大增加。根据现有的雨量计网络,在研究区域内观测到的降雨的相对平均误差(E-a)小于5%。考虑将空间插值误差(E-i)用于优化雨量计网络的设计,置信度为85%,其中A和B区的平均误差分别为8.5%和14%。在此基础上,提出了约46个地点用于分配新电台。因此,建议对现有的20个站进行重新定位,以实现准确的设计。

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