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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Predicting wetted width in any river at any discharge
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Predicting wetted width in any river at any discharge

机译：预测任何流量下任何河流的湿润宽度

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Coefficients describing at-a-station power-law relationships between discharge and width were calculated by applying multilevel models to field data collected during routine hydrological monitoring at 326 gauging stations across New Zealand. These hydraulic geometry coefficients were then estimated for each of these stations using standard stepwise multiple-linear regression models. Analysis was carried out to quantify how the relationship between width and discharge changed in relation to several available explanatory variables. All coefficients describing the at-a-station hydraulic geometry were found to have statistically significant relationships with catchment area. Statistically significant relationships between each of the coefficients were also found with the addition of catchment climate as an explanatory variable. Further statistically significant relationships were found when station elevation and channel slope, as well as hydrological source of flow and landcover of the upstream catchment were added to the explanatory variables. The level of confidence that can be associated with estimates of width at ungauged sites, and sites with limited data availability, was then assessed by comparing model predictions with independent paired data on observed width and discharge from 197 sites. When compared against these independent data, model predictions of width were improved with the addition of predictor variables of the hydraulic geometry coefficients. The greatest improvements were made when climate was added to catchment area as predictor variables. Minor improvements were made when all available information was used to predict width at these independent sites. Although the analysis was purely empirical, results describing relationships between hydraulic geometry coefficients and catchment characteristics corresponded well with knowledge of the processes controlling at-a-station hydraulic geometry of river width.
机译：通过将多层模型应用于在新西兰的326个测量站进行的常规水文监测期间收集的现场数据，计算出了描述排放量与宽度之间的电站功率定律关系的系数。然后，使用标准的逐步多元线性回归模型为这些站点中的每个站点估计这些水力几何系数。进行了分析以量化宽度和放电之间的关系相对于几个可用的解释变量如何变化。发现描述站时水力几何形状的所有系数与集水面积具有统计上的显着关系。还发现了每个系数之间的统计上显着的关系，并增加了集水区气候作为解释变量。将站高和河道坡度以及上游集水区的水文流量和土地覆盖物添加到解释变量中后，发现了进一步的统计显着关系。然后，通过将模型预测与观察到的宽度和197个站点的流量的独立配对数据进行比较，来评估可以与未测量站点的宽度估计和数据可用性有限的站点相关的置信水平。与这些独立数据进行比较时，通过增加水力几何系数的预测变量，可以改善宽度的模型预测。当将气候作为预测变量添加到集水区时，将获得最大的改进。当使用所有可用信息来预测这些独立站点的宽度时，已进行了较小的改进。尽管分析纯粹是凭经验进行的，但描述水力几何系数与集水特征之间关系的结果与控制河流宽度的一站式水力几何形状的过程知识相吻合。

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