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Bernie Engel, Youn Shik Park
and Larry Theller
This study was particularly interested in the impact of N and P on algae growth.
Since 2002, there have been at least 17 watershed management plans (funded by IDEM\'s 319 or 205(j) program, or submitted to IDEM for review to be eligible for implementation funding) that have used L-THIA. Most commonly, L-THIA was used to estimate existing pollutant loads in a watershed. Sometimes L-THIA was used when there was no monitoring data available, and sometimes it was used to provide a comparison with loads calculated from monitoring data.
Watershed Management Case Study
Feedback from Watershed Managers has guided improvements to the Online version of L-THIA
Floating, semi-transparent toolbars, collapsible menus, open architecture for partners, improved editing perfrormance.
New Area of Interest tool : Polygon
“Select by Polygon” to use a single HUC 12 outline will work for off-site users, such as Michigan State.
This will improve ability to model zoning and LID BMP areas.
-EPA Waters layers
Results remain in current window, no more spawning of multiple pages.
To develop FDCand LDC,
To run “LOADEST”
FDC and LDC with LOADEST execution
: by user’s flow and WQ data
: by USGS flow data and user’s WQ data
: by USGS flow data and user’s WQ data with drainage ratio
: by retrieving both data through the web
- user’s data
- USGS flow data
Develop FDC and LDC
Execute LOADESTon background mode
- user’s data
- USGS WQ data
Develop TMDLusing LOADEST result
Estimate required reduction to meet goal
Select State (a). (Indiana and Wisconsin are available, so far.)
Three ways to find USGS gauging station :Type address or ZIP (b),Through Google Maps interface (c),Type Station Number (d).
.. Information of pre-selected 24 WQ data (a),
.. Information on Flow data (b),
.. Raw data file of flow and WQ data (c).
Select period to develop LDC(d),
and click this button.
(period : Jan/1/2008 – Nov/8/2010, WQ : 00530)
A simple module works to combine flowand WQdata.
Set Water Quality Standard (a).
Also combined data file is downloadable to use in other models (b).
Time Series Plot
LOADEST can be run with background mode on this page (a).
It provides Mean Daily Load estimated by measured data (b).
During processing, the figures on the page will be replaced by LOADEST results.
LOADEST Inputs and Outputs are downloadable (a).
During processing, the figures will be replaced by LOADEST result.
Estimated Annual Load File is downloadable (a).
Mean Daily Load by LOADEST result will be displayed (b).
Estimated Mean Daily Load compared to
Mean Daily Load from observed data.
Spatial Optimization for Managing Surface Runoff from Urbanization- Parameterization and Application of a Spatial Runoff Minimization Model
June 20, 2011
The ROMIN model was adjusted to identify optimal regions in terms of hydrologic management and socioeconomic consideration
The LTM (Land Transformation Model) was chosen as a way to adjust the ROMIN model by providing socioeconomic preference for urban development
Hydrologic management can be supported by better decisions regarding urban development scale and location
The proposed approach identifies optimal locations based on multiple objectives and the solutions are considered more practical than those based on only consideration of hydrologic impact management
The ROMIN model has potential for solving other multiple objective problems
Southfork Wildcat Creek-Cary
(c) Little Eagle Creek Watershed
Little Eagle Creek
Optimal locations depend on development scale
40 ha development
120 ha development
200 ha development
360 ha development
280 ha development
320 ha development
Optimal Location Change
As the required area is increased, the current optimal location isn’t able to satisfy the required shape or area, or minimize runoff increase at the same location; therefore, it is necessary to re-compute the optimal location of development
Critical Points & Slope Changes
- a change in optimal development location or
- Running out of least cost neighbor areas around the current location and inclusion of higher cost areas for development.
The ROMIN Model Solution
(c) Runoff Increase≤0.99cm (d) Runoff Increase ≤ 1.09cm
Suitability Map Solutions
(a) Runoff Increase≤0.1cm (b) Runoff Increase ≤ 0.76cm
Suitability Map Solutions
Potential for a variety of applications by defining the objective function cost such as:
Additional “sensitive areas or habitats” layers are streamed over the Google Maps™ display.
This example contains nearby commercial wind turbines.
Join in 2012
Active in 2011