How to Use Map Display to show flooding in H2OMap SWMMtwitpic.com/cubswl
— RDickinson (@RDickinson) May 30, 2013
Autodesk Technologist with Information about Stormwater Management Model (SWMM) for watershed water quality, hydrology and hydraulics modelers (Note this blog is not associated with the EPA). You will find Blog Posts on the Subjects of SWMM5, ICM SWMM, ICM InfoWorks, InfoSWMM and InfoSewer.
Thursday, May 30, 2013
How to Use Map Display to show flooding in H2OMap SWMM
Making Wastewater Systems Smarter
Making Wastewater Systems Smarter
Link http://www.innovyze.com/news/1494/Making_Wastewater_Systems_Smarter
Link http://www.innovyze.com/news/1494/Making_Wastewater_Systems_Smarter
Making Wastewater Systems Smarter |
Wednesday, May 29, 2013
Monday, May 27, 2013
Top Width of LID is Important for a Swale in the Subcatchment Dialog
Top Width of LID is Important for a Swale in the Subcatchment Dialog twitpic.com/ctmvrq
— RDickinson (@RDickinson) May 27, 2013
Thursday, May 23, 2013
Two Methods to Calibrate RDII RTK parameters in H2OMAP SWMM and InfoSWMM
Two Methods to Calibrate RDII RTK parameters in H2OMAP SWMM and InfoSWMM
2. The RDII Analyst uses a Genetic Algorithm to Calibrate the RTK parameters for one location using monitored rainfall and flow data. This calibration does not take into account the hydraulic routing in the network.
There are two methods to calibrate the RTK parameters for RDII Analysis in InfoSWMM and H2OMAP SWMM. The two methods are similar but use a different approach to calibrate the data:
1. The RDII Hydrograph component of the Calibrator Add On also uses a Genetic Algorithm to calibrate the upstream RDII locations based on monitored flow but using the hydraulic network for the calibration.2. The RDII Analyst uses a Genetic Algorithm to Calibrate the RTK parameters for one location using monitored rainfall and flow data. This calibration does not take into account the hydraulic routing in the network.
Figure 1. RDII Analyst and GA Calibrator |
If you use the DOS Version of SWMM 5 be careful to NOT have spaces in directory names
If you use the DOS Version of SWMM 5 be careful to NOT have spaces in directory names twitpic.com/csq2kj
— RDickinson (@RDickinson) May 24, 2013
InfoSWMM can import H2OMAP Sewer, InfoSewer and H2OMAP SWMM models
InfoSWMM can import H2OMAP Sewer, InfoSewer and H2OMAP SWMM models twitpic.com/csq1dp
— RDickinson (@RDickinson) May 24, 2013
Representation of Surcharging in 1D Open Channels in InfoWorks ICM and CS
Representation of Surcharging in 1D Open Channels in InfoWorks ICM and CS blog.innovyze.com/2013/05/23/rep…
— RDickinson (@RDickinson) May 23, 2013
Wednesday, May 22, 2013
GA Calibration Options in InfoSWMM help find the best parameters
GA Calibration Options in InfoSWMM help find the best parameterstwitpic.com/cse4qp
— RDickinson (@RDickinson) May 22, 2013
Tuesday, May 21, 2013
Nodes in InfoSWMM and H2OMAP SWMM
Nodes in InfoSWMM and H2OMAP SWMM
Or how the invert, rim elevation, crown elevation of the highest connecting link, pressure depth and flooded depth interact during a simulation.
Level (invert of the Node)
Elevation (crown – surcharged if the HGL is above the crown elevation)
Ground (either a depth above invert or a Rim Elevation)
Overflow is either lost, stored, increases the HGL, Inlet Controlled or flows to a 2D mesh depending on the values of Surcharge Depth, Ponded Area, Inlet Options or 2D Options, respectively
How to Make a New GeoDataBase in InfoSWMM or InfoSewer
How to Make a New GeoDataBase in InfoSWMM or InfoSewertwitpic.com/cs6iul
— RDickinson (@RDickinson) May 21, 2013
Sunday, May 19, 2013
The detailed LID Modeling Report in InfoSWMM and H2OMap SWMM is made for the Show Detailed Output Command
>
The detailed LID Modelingt Report in InfoSWMM and H2OMap SWMM is made for the Show Detailed Output Commandtwitpic.com/crp3sh
— RDickinson (@RDickinson) May 19, 2013
Saturday, May 18, 2013
Five Parameters beside the Maximum Time Step that help control simulation length in InfoSWMM and SWMM
Five Parameters beside the Maximum Time Step that help control simulation length in InfoSWMM and SWMM 5twitpic.com/crhplqFYI, If you like twitter and like to center your embeded tweets add this to the custom twitter code How to center your embedded tweets class="twitter-tweet tw-align-center">
— RDickinson (@RDickinson) May 18, 2013
Thursday, May 9, 2013
Four Key Parameters to Control Your Model, Time Step, Iterations, Time Step Lengthening and Hot Start File
Four Key Parameters to Control Your Model, Time Step, Iterations, Time Step Lengthening and Hot Start Filetwitpic.com/cpfht1
— RDickinson (@RDickinson) May 9, 2013
Wednesday, May 8, 2013
From 3QD - THE MATHEMATICS OF ROUGHNESS
THE MATHEMATICS OF ROUGHNESS
Jim Holt reviews Benoit B. Mandelbrot's The Fractalist: Memoir of a Scientific Maverick, in the NYRB:
Benoit Mandelbrot, the brilliant Polish-French-American mathematician who died in 2010, had a poet’s taste for complexity and strangeness. His genius for noticing deep links among far-flung phenomena led him to create a new branch of geometry, one that has deepened our understanding of both natural forms and patterns of human behavior. The key to it is a simple yet elusive idea, that of self-similarity.
To see what self-similarity means, consider a homely example: the cauliflower. Take a head of this vegetable and observe its form—the way it is composed of florets. Pull off one of those florets. What does it look like? It looks like a little head of cauliflower, with its own subflorets. Now pull off one of those subflorets. What does that look like? A still tinier cauliflower. If you continue this process—and you may soon need a magnifying glass—you’ll find that the smaller and smaller pieces all resemble the head you started with. The cauliflower is thus said to be self-similar. Each of its parts echoes the whole.
Other self-similar phenomena, each with its distinctive form, include clouds, coastlines, bolts of lightning, clusters of galaxies, the network of blood vessels in our bodies, and, quite possibly, the pattern of ups and downs in financial markets. The closer you look at a coastline, the more you find it is jagged, not smooth, and each jagged segment contains smaller, similarly jagged segments that can be described by Mandelbrot’s methods. Because of the essential roughness of self-similar forms, classical mathematics is ill-equipped to deal with them. Its methods, from the Greeks on down to the last century, have been better suited to smooth forms, like circles. (Note that a circle is not self-similar: if you cut it up into smaller and smaller segments, those segments become nearly straight.)
Only in the last few decades has a mathematics of roughness emerged, one that can get a grip on self-similarity and kindred matters like turbulence, noise, clustering, and chaos. And Mandelbrot was the prime mover behind it.
Posted by Robin Varghese at 12:51 PM | Permalink
Thursday, May 2, 2013
Wednesday, May 1, 2013
Flooding Options in a SWMM 5 Manhole
Flooding Options in a SWMM 5 Manholetwitpic.com/cnfwcd
— RDickinson (@RDickinson) May 1, 2013
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