SWMM5, XPSWMM, InfoSWMM, InfoSewer, ICM (InfoWorks and SWMM): #SWMM5 on #GITHUB and 21.CO Machine Learning

SWMM456.COM

SWMM456.COM (previously known as SWMM5.NET) is a mini-blog that provides short and concise articles about various topics related to Stormwater Management Model (SWMM). Each post on the blog is no more than 150-200 words (about 1300 characters) in length and aims to deliver instant information, opinion, or introduction on a specific topic related to SWMM. The blog covers a wide range of topics, including tips and tricks for using SWMM, case studies, software updates, and news related to the field of stormwater management. The goal of the blog is to provide useful and relevant information to SWMM users and professionals in the stormwater management industry in a quick and easy-to-digest format.

Information

You can see recent Posts in the Recent Post Section, Top Labels, Older Alphabetical Labels and Dated Archives. You can also search for Tags in the Google Search Box or the Custom Search Box. The above Tabs in the Menu are those sites and blogs that I think can help you. Pleasse send any further questions to robert.dickinson@gmail.com or robert.dickinson@innovyze.com if you have further questions or ideas. If you are a student and you want a general introduction to SWMM 5 please visit Wikipedia or the EPA Tab. Thanks for visiting!

Best New Blog: http://blog.innovyze.com/2014/11/30/advanced-calibration-graphs-and-advanced-reference-graphical-comparisons-in-infoswmm-13/ The Current InfoSWMM Version is InfoSWMM v14 which is based on EPA SWMM 5.1.010 You can read about SWMM5 on Wikipedia and InfoSWMM vs SWMM 5 on this blog post. An advantage of updating to the newer version of Info/Map/SWMM/Sewer is a newly designed help file with many more FAQ’s and the User Guide as part of the help file. You can use the Google translate tool at the top of the right hand side to translate any and all blog posts.

SWMM5, XPSWMM, InfoSWMM, InfoSewer, ICM (InfoWorks and SWMM)

Sunday, November 29, 2015

#SWMM5 on #GITHUB and 21.CO Machine Learning

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