ABSTRACT:

This resource was developed as part of a HydroLearn module of the same name. It is divided into 3 sections that correspond to their respective units in the learning module. The first, Data_Analysis, uses a Jupyter notebook and historical USGS and NOAA data (uploaded by the user) to estimate evapotranspiration using a water balance approach for a small undisturbed watershed and display annual seasonality of precipitation and streamflow. The next, RHESSys_Model introduces the user to RHESSys, an ecohydrologic model, and uses it to conduct a simple sensitivity analysis in the JupyterHub environment. The last, Model_Eval, uses a Jupyter notebook to evaluate RHESSys model output of streamflow in Sagehen Creek against observed streamflow analyzed in the first unit.

ABSTRACT:

Launce Cyber-GIS Jupyter for Water.

To create a new environment and to add the kernel to Jupyter Notebook, open the terminal and run the following:
>> conda create --name pyswmm
>> conda activate pyswmm
>> conda install -c anaconda ipykernel
>> python -m ipykernel install --user --name pyswmm --display-name "PySWMM"

This will create a new development environment named "PySWMM", which can be selected from the dropdown menu of Jupyter Notebook. Now install the following packages:
>> pip install swmm5
>> conda install pyswmm
>> pip install swmmio

The PySWMM kernel and its associated development environment provide all the functionality to simulate and modify (in real-time) EPA SWMM models through HydroShare Cyber-GIS.

This is the initial model for Scotts Level Branch (outlet location: https://waterdata.usgs.gov/usa/nwis/uv?01589290) developed in EPA SWMM 5.1. The watershed has six subcatchments. The subcatchments were delineated using ArcHydro and HEC-Geo-HMS (add-ins for ESRI ArcMap 10.7). The model is simulated with data from 1/1/2019 to 12/31/2020. Each subcatchment has six land cover categories, namely, Residential, Industrial, Commercial, Forest, Grass-Pasture, and Agriculture. Nitrogen, Phosphorous, and Suspended Solids (i.e., pollutant loading) are modeled using event mean concentrations (EMC) based on the U.S. Army Corps of Engineer's guidelines (Please refer to page 132 of the attached file named EMC.pdf for the detailed table).

To illustrate the application of LID Controls in SWMM 5.1, a Rain Barrel (barrel height = 36 in, area footprint = 2.3 sft, capacity = 227 L, drains over 24 hours) is designed. For each subcatchment, 500 of such Rain Barrels are implemented. The detailed design of the Rain Barrel can be found in section "2.4. Municipal RWH scenarios" of this paper: https://www.sciencedirect.com/science/article/pii/S0022169413007671

There are two models with the continuous simulation (1/1/2019 to 12/31/2020): One without any LID Control, and one with the Rain Barrels. These models are simulated on a daily basis.

There are also two models using a 24-hour 100-year design storm: One without any LID Control, and one with the Rain Barrel. These models are simulated (on an hourly basis) with a depth of 8.38 inches using the SCS Type 3 storm from HEC-HMS 4.3. The design depth is obtained from NOAA Atlas 14 (https://hdsc.nws.noaa.gov/hdsc/pfds/)

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Scotts Level Branch, Maryland

To find out the instructions on how to run Jupyter Notebooks, please refer to the README file which is provided in this resource.