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Comparison of Raingauge & Radar-Raingauge Derived Precipitation on GIS Based Sewer Modelling

机译:基于GIS的下水道建模中雨量计和雷达雨量计降水的比较。

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摘要

Accurate real-time rainfall measurement is an important aspect in sewer network modelling. Weather Radio Detection and Ranging (RADAR) can give a good estimate of precipitation as compared to Tipping Bucket data. The RADAR data should be properly processed to make it usable for calibration purposes. This paper presents ways in which the discrepancies in RADAR data can be minimised by determining a relationship between RADAR and Tipping Bucket rainguage data. The models have been simulated with rainfall data generated from RADAR data using various random reduction factors, point rainguage data and calibrated RADAR-rainguage derived precipitation. The paper reports on the results of these trials, indicating the differences in using the above methods. Results show that the calibrated RADAR-rainguage derived precipitation can give a better representation of the timing of flow response, total volume and peak depth in sewer networks.
机译:准确的实时降雨测量是下水道网络建模的重要方面。与小费桶数据相比,气象无线电检测和测距(RADAR)可以提供良好的降水估计。应正确处理RADAR数据以使其可用于校准目的。本文提出了通过确定RADAR与小费桶雨量数据之间的关系来最小化RADAR数据差异的方法。该模型已通过使用各种随机减少因子,从RADAR数据生成的降雨数据,点雨量数据和经校准的RADAR雨量派生降水进行了模拟。该论文报告了这些试验的结果,指出了使用上述方法的差异。结果表明,校正后的RADAR雨水降水可以更好地表示下水道网络中水流响应的时间,总体积和峰值深度。

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