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Last modified
8/16/2009 2:38:04 PM
Creation date
12/3/2008 9:23:28 AM
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Board Meetings
Board Meeting Date
11/19/2008
Description
CF Section - En-Bloc Non-Reimbursable Investment Recommendations - MODFLOW Enhancements for CDSS
Board Meetings - Doc Type
Memo
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<br /> <br /> <br />Water Project Construction Program Project Data <br />Non - Reimbursable Investment <br /> <br />Grantee : County: <br /> Colorado Water Conservation Board Statewide <br />Project Name: <br />t Systems <br />Project Type: <br />Groundwater model code enhancement <br />Drainage Basin: Water Source: <br />Statewide N/A <br />Total Study Cost: Funding Sources: <br />$ 62 , 5 00 CWCB Const . Fund <br />Type of Grantee: <br />Federal Agency <br />CWCB Non - Reimbursable Inv . : <br />$ 5 0 ,000 <br /> <br />Summary <br /> <br />During the current development of the alluvial groundwater model in the South Platte Decision Support <br />System, a need was found for enhancements to MODFLOW, a USGS groundwater model, to make the <br />modeling process more efficient. These enhancements include t he following two items: 1) The capability <br />of tracking individual model stress input components, from model - input fields to the volumetric budget <br />output tables generated by MODFLOW; and 2) A user - specified option for continuation of model <br />execution despite solver nonconvergence. <br /> <br />In explanation of the first item, MODFLOW input packages (e.g., Recharge, Well, etc.) are often used to <br />represent more than one different type of model input per package. For example, the Recharge package <br />may be used to input to the model both irrigation recharge from irrigated lands and precipitation recharge <br />from areas of native vegetation. It is often very helpful in the modeling process to be able to track the <br />different input components of a package from beginning to end of the m odel run. This is not easily done <br />with the current version of MODFLOW, and the effort required is time - consuming and potentially prone <br />to error. The first proposed enhancement would make this process more efficient and accurate. <br /> <br />The second proposed enhanc ement involves a user - specified option to continue model execution despite <br />solver nonconvergence. During the model calibration process, automated model analyses such as <br />parameter estimation and sensitivity analysis are often used to make the process more e fficient. Solver <br />nonconvergence can prevent the completion of lengthy modeling runs utilizing these automated modeling <br />aids. This enhancement would solve this problem but print a warning to avoid inadvertent application. <br /> <br /> <br /> <br />
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