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Lilit Yeghiazarian

University of Cincinnati | Associate Professor

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ABSTRACT:

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.

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ABSTRACT:

This resource contains input ArcGIS files, input data and the results for the GRR subwatershed reliability analysis presented in "A. Teklitz, C. Nietch, M. S. Riasi, L. Yeghiazarian, System Reliability Theory for Water Quality and Sustainability Assessment, Water Resources Research, 2018."

Theis resource contains two separate packages:

1. ArcGIS_InputFiles_GRR.zip: This zipped folder contains the ArcGIS files related to GRR subwatershed: Schematic network shapefiles (Schemanode, Schemalink and hillslope), NLCD land cover raster, and NHDplus_V2 shapefile used to extract streamflow and stream velocity.

2. GRR_ReliabilityAnalysis_Data&Results.xlsx: This Excel sheet contains the list of nodes, links and hillslopes in the schematic network of GRR subwatershed, the land cover distribution in each hillslope, the associated export coefficients, and the reliability analysis results for all stream reaches.

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Composite Resource Composite Resource

ABSTRACT:

This resource contains input ArcGIS files, input data and the results for the GRR subwatershed reliability analysis presented in "A. Teklitz, C. Nietch, M. S. Riasi, L. Yeghiazarian, System Reliability Theory for Water Quality and Sustainability Assessment, Water Resources Research, 2018."

Theis resource contains two separate packages:

1. ArcGIS_InputFiles_GRR.zip: This zipped folder contains the ArcGIS files related to GRR subwatershed: Schematic network shapefiles (Schemanode, Schemalink and hillslope), NLCD land cover raster, and NHDplus_V2 shapefile used to extract streamflow and stream velocity.

2. GRR_ReliabilityAnalysis_Data&Results.xlsx: This Excel sheet contains the list of nodes, links and hillslopes in the schematic network of GRR subwatershed, the land cover distribution in each hillslope, the associated export coefficients, and the reliability analysis results for all stream reaches.

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Composite Resource Composite Resource
Reliability-Based Water Quality Assessment with LRFD
Created: March 28, 2018, 4:53 p.m.
Authors: M. Sadegh Riasi · Teklitz, Allen · Bill Shuster · Nietch, Christopher · Lilit Yeghiazarian

ABSTRACT:

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.

Show More