Monday, June 24, 2013

How to Locate Parallel Pipes in H2OMAP SWMM

How to Locate Parallel Pipes in H2OMAP SWMM
You can use the command *Utility/Network Review Fix/Locate Parallel Pipe/Show as Domain *or as list of ID's

Utility/Network Review Fix/Locate Parallel Pipe/Show as Domain 

Sunday, June 23, 2013

Massive Flooding In Alberta Canada Forces 75,000 To Flee

Massive Flooding In Alberta Canada Forces 75,000 To Flee


Alberta, Canada. Credit: AP
Parts of Alberta, Canada were hit by extreme flooding the size of New York State on Friday, forcing 75,000 to evacuatetheir homes. Hit by heavy rain, people have abandoned their cars and low-lying residences in flooded waters Mayor Naheed Nenshi described as “an ocean at the moment.”
Across the world, cities in Germany have also been wrecked by flooding — one estimate puts the damage as high as $7.7 billion. Climate science explains that global warming leads to a 5 to 10 percent increase in rainfall, and subsequently leads to a higher risk of flooding.
As Climate Central notes in its reporting on the Calgary floods: “A study published in the journalNature Climate Change on June 9 found that flood frequency as well as the number of people at risk of inundation from flood events are both likely to increase as the world continues to warm.”
Heavy precipitation extremes, which sometimes result in river flooding, have been increasing in much of the U.S. east of the Mississippi River. Credit: Climate Central.
Alberta is home to controversial tar sands development, where the city of Calgary happens to be a source of climate denier arguments: The Calgary Herald, an influential paper in western Canada, has spouted climate denier points on its editorial page. The University of Calgary, meanwhile, was once paid to distribute resources opposing climate change science.

How to Find Duplicate Links in InfoSWMM

1. Make a table of all  From Nodes for all of the links using Conduit Information,
2. Made an output DBF table using the summary command of the Open Attribute Table of Arc Map
3. Joined the output DBF table to the Junction layer
4. Labeled all Nodes that had more than one outgoing link
5. You can see on the screen the possible duplicate links and decide which are valid and which are not allowed

Thursday, June 20, 2013

All of the rivers in the USA

Saturday, June 15, 2013

How to Use Excel to Make Random X, Y Coordinates in SWMM 5


NodeXYRand XRand Y
A2465753425-17995018681114137518-1734364827
B1220423412-915317559.2959332294.5-427183555.6
C1207970112-2970112080939805860-417442286.9
D-485678704.92970112080-172000249.51835904922
E-27895392281388542964-2050647732326604825.1
F-4221668742-130759651.3-3537896272-59872442.99

If you have a SWMM 5 file without any X, Y  coordinates you can assume an X and a Y and then use Excel to make each pair random by using the RAND() function.  You at least will see each of the nodes on the screen with associated links.

Wednesday, June 5, 2013

Wikipedia Traffic for the SWMM versus EPANET Articles

Subject:  Wikipedia Traffic for the SWMM versus EPANET Articles

Wikipedia has one article for EPANET and three articles for SWMM 5 (two are redirected to the Stormwater Management Model Main Article).  The statistics for the last three years (data before 2007 is unavailable) show an average of 28 visitors per day to SWMM and 16 per day to EPANET).  The search name has switched from the word SWMM to Stormwater Management Model starting in 2009.





Wednesday, May 29, 2013

Custom shape in SWMM 5


You can use a custom shape in SWMM 5 for a closed Link or if it is an open channel then you can use a Transect Section as in HEC-RAS

You use the custom shape,
Make a Table of Depth/Full Depth and Width/Full Depth

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

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

InfoSWMM can import H2OMAP Sewer, InfoSewer and H2OMAP SWMM models

Water Providers of North America v 2.0 infographic

Representation of Surcharging in 1D Open Channels in InfoWorks ICM and CS

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

Saturday, May 18, 2013

Five Parameters beside the Maximum Time Step that help control simulation length in InfoSWMM and SWMM

FYI, 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">

Wednesday, May 8, 2013

From 3QD - THE MATHEMATICS OF ROUGHNESS


THE MATHEMATICS OF ROUGHNESS

Holt_1-052313_jpg_230x1466_q85
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, March 14, 2013

Increase in heavy rainfalls over past 60 years in upper Midwest, US


Increase in heavy rainfalls over past 60 years in upper Midwest, US

March 14, 2013
Mar. 13, 2013 — Heavy rains have become more frequent in the upper Midwest over the past 60 years, according to a study from the University of Iowa. The trend appears to hold true even with the current drought plaguing the region, the study's main author says.
The fact that temperatures over the country's midsection are rising, too, may be more than coincidence. The hotter the surface temperature, which has been the trend in the Midwest and the rest of the world, the more water that can be absorbed by the atmosphere. And the more water available for precipitation means a greater chance for heavy rains, explains Gabriele Villarini, assistant professor in engineering at the UI and lead author of the paper, published in the Journal of Climate, the official publication of the American Meteorological Society.
"We found that there is a tendency toward increasing trends in heavy rainfall in the northern part of the study region, roughly the upper Mississippi River basin," says Villarini, in the civil and environmental engineering department and an assistant research engineer at the IIHR-Hydroscience and Engineering. "We tried to explain these results in light of changes in temperature. We found that the northern part of the study region -- including Minnesota, Wisconsin, Iowa, and Illinois -- is also the area experiencing large increasing trends in temperature, resulting in an increase in atmospheric water vapor."
Villarini notes the current drought affecting the Midwest and other regions of the country has occurred too recently to be included in his study, whose data goes from about 1950 to 2010.
"I'm not looking at the average annual rainfall. I'm studying heavy rainfall events," he says. "We may currently be in deficit for overall rainfall, but we may also be in the normal range when it comes to the number of heavy rainfall days."
Villarini and his colleagues examined changes in the frequency of heavy rainfall through daily measurements at 447 rain gauge stations in the central and southern United States. The states included were: Minnesota, Wisconsin Michigan, Iowa, Illinois, Indiana, Missouri, Kentucky, Tennessee, Arkansas, Louisiana, Alabama, and Mississippi.
Each rain gauge station has a record of at least 50 years. The data cover much of the 20th century and the first decade of this century. For the purposes of the study, heavy rainfall was defined as days in which rainfall exceeded the 95th percentile of the at-site rainfall distribution.
Villarini notes that while his study focused on changes in temperature and the frequency of heavy rainfall over the central United States, other published results have shown rainfall increases to be linked to changes in irrigation over the Ogallala Aquifer, which runs from Nebraska to northern Texas. Based on those studies, he says it is reasonable to assume that changes in land use, land cover and agricultural practice would affect the amount of water vapor in the atmosphere as well.
His colleagues in the study are James Smith, professor at Princeton University; and Gabriel Vecchi, of the National Oceanic and Atmospheric Administration.
The research was funded by NASA and the Willis Research Network.
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Story Source:
The above story is reprinted from materials provided by University of Iowa. The original article was written by Gary Galluzzo.
Note: Materials may be edited for content and length. For further information, please contact the source cited above.


Journal Reference:
  1. Gabriele Villarini, James A. Smith, Gabriel A. Vecchi. Changing Frequency of Heavy Rainfall over the Central United States. Journal of Climate, 2013; 26 (1): 351 DOI: 10.1175/JCLI-D-12-00043.1

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