Since the estimation of anthropogenic heating is always problematic in medium-sized cities because of data lacking, we intended to test how much the omission of such data influences the physical consistency in a numerical model (Weather Research and Forecasting – WRF). It was hypothesized that anthropogenic heating is an important input for the model, even in a relatively small urban area, therefore we adapted three different approaches to quantify its spatiotemporal distribution over Szeged, Hungary. Four numerical experiments were performed in the WRF coupled with the single layer canopy scheme, which included the calculated fluxes and an anthropogenic flux-free reference case. By comparing the experiments, we had the opportunity to determine the effects of different anthropogenic heating scenarios on certain meteorological variables near the surface and in the overlying urban boundary layer. The maximum anthropogenic heat release was estimated to be ranging between 0.6 and 31.2 W/m² in Szeged, with higher values on winter days. This heat surplus contributed to a maximum increase of 1.5 °C in the simulated near-surface air temperature. Depending on the rate of anthropogenic heat release, the urban boundary layer became deeper, and the mixing of heat and momentum was more efficient. Our results have demonstrated that without the consideration of anthropogenic heating, numerical simulations performed to cities similar to Szeged cannot be physically complete.

由于缺少数据，在中型城市中人为加热的估算始终存在问题，因此，我们打算在数值模型（天气研究和预测– WRF）中测试这些数据的缺失对物理一致性的影响程度。有人假设，即使在相对较小的城市地区，人为加热也是该模型的重要输入，因此我们采用了三种不同的方法来量化其在匈牙利塞格德的时空分布。在WRF中结合单层机盖方案进行了四个数值实验，其中包括计算的通量和无人为通量的参考案例。通过比较实验，我们有机会确定了不同的人为加热情景对地表附近和上层城市边界层中某些气象变量的影响。最大的人为热量释放估计在0.6至31.2 W / m之间塞格德（Szeged）中的²，冬季的价格更高。这种热量过剩导致模拟的近地表空气温度最高增加1.5°C。根据人为热量释放的速率，城市边界层变得更深，热量和动量的混合更为有效。我们的结果表明，如果不考虑人为加热，那么对类似于塞格德的城市进行的数值模拟在物理上是无法完成的。