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Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions

机译:基于时空相关结构的半山区雨量计网络评估

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摘要

A reliable network of rain gauges is a crucial component of rainfall estimation in a watershed. To provide a better evaluation method for rain-gauge networks, a new evaluation method using average inter-gauge correlation coefficients (averaged CC) for estimating an effective radius for each rain gauge was developed. In this study, averaged CCs were obtained from the values of inter-gauge correlation coefficients after choosing a minimum number of rainfall data sets as a threshold. The Nam River Basin (2400 km~2) and its 24 rain gauges were selected with 8 years (2003 - 2010) rainfall data to validate a new evaluation method. In the spatial correlation coefficient fitting process for generating correlation distances, averaged CCs increased fitness accuracy (maximum 37%) in terms of coefficient of determination (R~2) compared with a commonly used method (the last value of the inter-gauge correlation coefficient as the number of data sets is increased: last CC). In the evaluation of effective radii for 8 years, the robustness of the averaged CCs was supported by lower standard deviations for all rain gauges. For the optimum coverage of rainfall estimation in terms of effective radius, the Nam River Basin requires 20 rain gauges. Investigation of altitude effects presented that the effective radii were minimally influenced by the altitude of rain-gauge locations for this area.
机译:可靠的雨量计网络是流域降雨估算的重要组成部分。为了提供更好的雨量计网络评估方法,开发了一种新的评估方法,该方法使用平均雨量计之间的相关系数(平均CC)来估计每个雨量计的有效半径。在这项研究中,选择最小数量的降雨数据集作为阈值后,从规范间相关系数的值中获得了平均CC。选择了南河流域(2400 km〜2)及其24个雨量计以及8年(2003年至2010年)的降雨数据来验证一种新的评估方法。在用于生成相关距离的空间相关系数拟合过程中,与确定的系数(仪表间相关系数的最后一个值)相比,平均CC在确定系数(R〜2)方面提高了适应度准确性(最大37%)随着数据集数量的增加:最后一个CC)。在评估8年的有效半径时,所有雨量计的较低标准偏差都支持平均CC的鲁棒性。为了在有效半径方面获得最佳的降雨估算覆盖范围,南河流域需要20个雨量计。对海拔高度影响的调查表明,该区域的有效半径受雨量计位置高度的影响最小。

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