Reliability-Based Water Quality Assessment with LRFD

This resource contains MATLAB scripts and input data needed to replicate results presented in \"M. S. Riasi, A. Teklitz, W. Shuster, C. Nietch, L. Yeghiazarian, Reliability-Based Water Quality Assessment with Load Resistance Factor Design: Application to TMDL, Journal of Hydrologic Engineering, 2018.\"

This resource contains two separate packages:

1. LRFD_ShepherdsCreek.zip: This zipped folder contains MATLAB scripts and input data needed to replicate results presented in section 3.1 of the above-mentioned article. The contamination data for DIN and TP in 6 stations in Shepherds Creek watershed is stored in “Contamination Data” subfolder. The USGS flow data for these stations in stored in “Flow Data” subfolder.
To run the code, user need to run “MAIN_LRFD.m” script. Immediately after running the script, user will be prompted to choose the target station and target contaminant. User will also need to answer two questions: i) Would you like to keep all storm events?” ii) would you like to keep zero flow data?. To replicate our results, default answers must be selected (Yes and No respectively).
Once the run is complete, the results for “FORM reliability analysis”, “LRFD design for 25% probability of failure” and “post-design FORM reliability analysis” will be printed in the command window.

2. LRFD_UEFW_ExcelSheet.zip: This zipped folder contains MATLAB scripts and input data needed to replicate results presented in section 3.2 of the above-mentioned article.
To run the code, user need to run “MAIN_LRFD.m” script. Immediately after running the script, user will be prompted to select the input Excel sheet. The input Excel sheets for the 3 cases studied in this article can be found in “InputExcelLRFD” subfolder.
Once the run is complete, the results for “FORM reliability analysis” and “LRFD design for 25% probability of failure” will be printed in the command window.
Users can create their own cases by duplicating the Excel files and changing the numbers highlighted with blue font.

本资源包含复现论文《M. S. Riasi, A. Teklitz, W. Shuster, C. Nietch, L. Yeghiazarian, 基于荷载抗力系数设计的可靠性水质评估：在总最大日负荷总量（Total Maximum Daily Load, TMDL）中的应用，水文工程学报（Journal of Hydrologic Engineering），2018》中所呈现结果所需的MATLAB脚本与输入数据。

本资源包含两个独立的程序包：
1. LRFD_ShepherdsCreek.zip：该压缩文件夹包含复现上述文章3.1节结果所需的MATLAB脚本与输入数据。Shepherds Creek流域6个监测站的溶解无机氮（Dissolved Inorganic Nitrogen, DIN）和总磷（Total Phosphorus, TP）污染数据存储于"Contamination Data"子文件夹，对应监测站的美国地质调查局（United States Geological Survey, USGS）流量数据存储于"Flow Data"子文件夹。
运行代码需执行"MAIN_LRFD.m"脚本。脚本运行后，系统会提示用户选择目标监测站与目标污染物，同时需回答两个问题：①是否保留所有暴雨事件？②是否保留零流量数据？若要复现本文结果，需选择默认答案（分别为"是"与"否"）。运行完成后，命令行窗口将输出"一次二阶矩法（First-Order Reliability Method, FORM）可靠性分析"、"失效概率25%的荷载抗力系数设计"以及"设计后一次二阶矩法可靠性分析"的结果。

2. LRFD_UEFW_ExcelSheet.zip：该压缩文件夹包含复现上述文章3.2节结果所需的MATLAB脚本与输入数据。
运行代码需执行"MAIN_LRFD.m"脚本。脚本运行后，系统会提示用户选择输入Excel表格。本文研究的3个案例的输入Excel表格可在"InputExcelLRFD"子文件夹中找到。
运行完成后，命令行窗口将输出"一次二阶矩法可靠性分析"与"失效概率25%的荷载抗力系数设计"的结果。用户可通过复制Excel文件并修改蓝色高亮字体中的数值，自定义创建新的案例。