To quantify the annual probability of earthquake ground motion (GM) exceeding a given threshold, the extensively used method named by probabilistic seismic hazard analysis (PSHA) can be adopted. The PSHA software made this method more effortless for estimating earthquake hazards for a seismic site. The main motivation of the PSHRisk-tool is to evaluate the PSHA by a user-friendly graphical interface as well as identify the intensities of GM, which will contribute to the most vulnerable condition for the infrastructure. This python-code based tool can demonstrate the source identification, probability distribution plot of magnitude and distance, formulate the hazard curve according to almost all ground motion prediction equations (GMPEs). The deaggregation for each intensity measure (IM) and the effect of seismic parameters in each GMPE can also be determined. Alongside this, the combination of the failure frequency and the hazard analysis for identifying risk assessment separates this tool from the other existing PSHA software. Accurate verification with analytical and existing test models and a case study inspires its acceptance rate. However, with the quickest and easiest way users can determine the seismic hazard analysis for any location. Failure risk analysis can be evaluated simply based on the structural failure parameters.

中文翻译：

---

PSHRisk-Tool：基于Python的计算工具，用于开发基础设施的地震危险性分析和故障风险评估

为了量化地震地面运动（GM）超过给定阈值的年概率，可以采用概率概率地震危险性分析（PSHA）命名的广泛使用的方法。PSHA软件使该方法更轻松地估算地震现场的地震危害。PSHRisk工具的主要动机是通过用户友好的图形界面来评估PSHA，并确定GM的强度，这将导致基础结构最脆弱的状况。这个基于python代码的工具可以演示源识别，大小和距离的概率分布图，并根据几乎所有地面运动预测方程（GMPE）绘制危险曲线。还可以确定每个强度测度（IM）的分解和每个GMPE中地震参数的影响。除此之外，故障频率和危害分析（用于识别风险评估）的组合使该工具与其他现有的PSHA软件分离。使用分析和现有测试模型进行准确验证，并通过案例研究来提高其接受率。但是，用户可以通过最快，最简单的方法来确定任何位置的地震危害分析。可以根据结构故障参数简单地评估故障风险分析。使用分析和现有测试模型进行准确验证，并通过案例研究来提高其接受率。但是，用户可以通过最快，最简单的方法来确定任何位置的地震危害分析。可以根据结构故障参数简单地评估故障风险分析。使用分析和现有测试模型进行准确验证，并通过案例研究来提高其接受率。但是，用户可以通过最快，最简单的方法来确定任何位置的地震危害分析。可以根据结构故障参数简单地评估故障风险分析。