The first objective of this paper is to assess by means of geodetic network analyses the impact of adding model-based hydrodynamic leveling data to the Unified European Leveling Network (UELN) data on the precision and reliability of the European Vertical Reference Frame (EVRF). In doing so, we used variance information from the latest UELN adjustment. The model-based hydrodynamic leveling data are assumed to be obtained from not-yet existing hydrodynamic models covering either all European seas surrounding the European mainland or parts of it that provide the required mean water level with uniform precision. A heuristic search algorithm was implemented to identify the set of hydrodynamic leveling connections that provide the lowest median of the propagated height standard deviations. In the scenario in which we only allow for connections between tide gauges located in the same sea basin, all having a precision of 3 cm, the median of the propagated height standard deviations improved by \(38\%\) compared to the spirit leveling-only solution. Except for the countries around the Black Sea, coastal countries benefit the most with a maximum improvement of \(60\%\) for Great Britain. We also found decreased redundancy numbers for the observations in the coastal areas and over the entire Great Britain. Allowing for connections between tide gauges among all European seas increased the impact to 42%. Lowering the precision of the hydrodynamic leveling data lowers the impact. The results show, however, that even in case the assumed precision is 5 cm, the overall improvement is still 29%. The second objective is to identify which tide gauges are most profitable in terms of impact. Our results show that these are the ones located in Sweden in which most height markers are located. The impact, however, hardly depends on the geographic location of the tide gauges within a country.

本文的第一个目标是通过大地测量网络分析评估将基于模型的水动力水准测量数据添加到统一欧洲水准测量网络 (UELN) 数据中对欧洲垂直参考框架 (EVRF) 的精度和可靠性的影响。在这样做时，我们使用了来自最新 UELN 调整的方差信息。假设基于模型的水动力水平数据是从尚未存在的水动力模型中获得的，该模型覆盖了欧洲大陆周围的所有欧洲海域，或者以统一精度提供所需平均水位的部分海域。实施了启发式搜索算法以识别提供传播高度标准偏差的最低中值的一组水动力调平连接。\(38\%\)与仅使用水平仪的解决方案相比。除黑海周边国家外，沿海国家受益最大，最大提升\(60\%\)为英国。我们还发现沿海地区和整个英国的观测冗余数减少。允许在所有欧洲海域之间连接潮汐计将影响增加到 42%。降低水动力调平数据的精度会降低影响。然而，结果表明，即使假设精度为 5 厘米，总体改进仍为 29%。第二个目标是确定哪些潮汐测量仪在影响方面最有利可图。我们的结果表明，这些是位于瑞典的大多数高度标记所在的位置。然而，影响几乎不取决于一个国家内潮汐测量仪的地理位置。