Despite the applications of the Method of Characteristics (MOC) for analyzing the unsteady flows, using this method in networks with variable elevations still has many challenges. In this paper, by developing modified correlations as a computer code, the possibility of analyzing inclined pipelines has been evaluated. For validation and calibration, the results of MOC were compared with the results of EPANET software as well as experimental data. To extract experimental data, the water network of Babol Noshirvani University of Technology (NIT) with a constant head of 7 m three loops, and four inclined branches were employed. While evaluating the capabilities of the developed computer code, the results show that for all pipes, as the number of pressure fluctuations in a specific period increases, the intensity of the pressure fluctuations decreases, and the damping speed increases as well. Moreover, in inclined pipes, unlike non-inclined pipes, the intensity of pressure fluctuations will increase as the elevation increases and the cross-sectional distance from the transient event increases as well. The evaluation of the effect of space steps on the accuracy of the solution to the MOC shows that in the study network, considering 20 segments for each pipe, the fastest response time with an error of less than 1% is obtained.

尽管特征方法（MOC）用于分析非定常流动，但在具有可变高程的网络中使用这种方法仍然存在许多挑战。在本文中，通过将修改后的相关性开发为计算机代码，评估了分析倾斜管道的可能性。为了验证和校准，将 MOC 的结果与 EPANET 软件的结果以及实验数据进行了比较。为了提取实验数据，采用了巴博尔诺希尔瓦尼理工大学 (NIT) 的水管网，其恒定水头为 7 m 三个环路和四个倾斜分支。在评估开发的计算机代码的能力时，结果表明，对于所有管道，随着特定时期内压力波动次数的增加，压力波动的强度减小，并且阻尼速度也随之增加。此外，在倾斜管道中，与非倾斜管道不同，压力波动的强度会随着高度的增加而增加，并且与瞬态事件的横截面距离也增加。空间步长对MOC解精度影响的评估表明，在研究网络中，考虑每条管道20段，获得最快响应时间，误差小于1%。