One of the challenges sometimes faced when sharing models is when the ArcGIS version is different as ArcGIS will give an error if you try to open a newer version of an ArcGIS .MXD file in an older version of ArcGIS.
One of the easiest ways to get around this issue if you need to send a model to someone running an older version of ArcGIS is to create a “zero byte .mxd” file that can be opened in any version of ArcGIS without issue. If you make the MXD a zero byte file it will strip away any Arc GIS specific information which allows you use the model database data in the IWDB or ISDB folder to be used in any version of Arc GIS. You can do the following to make the zero byte MXD file: Continue reading
The day featured user case studies, as well as technical presentations from Innovyze and opportunity to network with other users and industry colleagues.
Traditionally, flood management policies have been based upon the design standard philosophy, where policy makers decide on an appropriate protection level to be achieved within the flood system which is used to design and manage hydraulic infrastructure. In contrast with this approach and following the guidelines specified in the EU Floods Directive 2007/60/EC on the assessment and management of flood risks, flood management policies based on risk rather than system performance have been developed in recent years. Flood risk management policies are based on the evaluation of the consequences generated by flooding events and the alleviation measures on the expected flood impacts over a given time period.
Risk-based analysis methods can be used in order to assess and manage hydraulic infrastructure which protects assets from flood events. A flood-risk methodology analyses a hydraulic system based on the evaluation of the consequences derived from the service of the hydraulic infrastructure rather than system performance. Thus, in contrast with traditional performance methods, in which the hydraulic system is expected to service a specific loading level, a flood risk approach should take into account all type of events based on their probability of occurrence. The results of the analysis provide a comprehensive view of the performance of the hydraulic system and the consequences derived from flood events. These results can support engineers or stakeholders in order to take informed decisions to improve the design, maintenance, rehabilitation and management programs associated with a hydraulic system and alleviate the impact of flooding.
It is important to highlight that these methods seek to provide not only a quantification of the current flood risk associated with the system, but also a long term planning framework that will help to make rational decisions related with flood-risk management and alleviation strategies. Along these lines, a risk-based option appraisal involves the modification of the variables which describe the flood system in order to estimate the consequences that the option under consideration causes on flood risk. Thus, different flood risk management options can be assessed and compared between them in order to find the most cost effective one. Given the intense nature of water infrastructure investment, strategic decisions involving long term planning and management can be based on the outcomes derived from a flood-risk analysis. Continue reading
When viewing the HGL line on a long section profile, you may wish to compare it to the HGL line from another simulation on the same profile plot.
To do this:
- Open one long section from one set of simulation results
- Right click on the other simulation in your Master database tree and select ‘Open As,’ then ‘As alternate for comparison’
The TSDB is a powerful and comprehensive time-series database that lets utilities and consultants archive, analyse and aggregate real-time and historical data, including radar images and meteorological forecasts, into user-defined actionable information. They can then use this data to drive simulations of past and future events for optimal management of integrated catchment systems.
It was an exhilarating experience meeting with our EMEA Channel Partners last week in our Wallingford, UK, offices. We reviewed our latest software and technology advances and shared ideas on how to serve our valued customers even better. The excitement was palpable.
We are looking forward to helping our customers leverage of state-of-the-art technology to become even more successful.
It’s been almost four years since I first published a blog on run times for 2D simulations conducted on GPU cards back in December 2012. Since that time, NVIDIA have continually evolved their GPU technology. By comparison, over the same period of time, the CPU world has gone rather flat in terms of outright speed improvements.
InfoWorks ICM is able to leverage technological improvements as new GPU cards come onto the market. The tables below show runtimes for two of our standard 2D testing models. Each model was run on NVidia GeForce 970 and 1080 cards, on an NVidia Quadro K5200 card and on a TESLA K20c card. Continue reading
On Thursday 15th of September, Innovyze’s User Group was held in Canberra ACT, Australia. Over 20 delegates from around Australia mostly from NSW attended to share knowledge through various case studies, new features and tips and tricks in the software.
This blog describes how the German Runoff hydrology converts precipitation excess (rainfall and/or snowmelt less infiltration, evaporation, and initial abstraction) into surface runoff (overland flow). InfoSWMM is a distributed model as it allows a study area to be subdivided into any number of irregularly shaped Subcatchment areas to best capture the effect that spatial variability in rainfall, topography, drainage pathways, land cover, and soil characteristics have on runoff generation. Generation of runoff is therefore computed on a Subcatchment by Subcatchment basis with the option of having the runoff go to a node or another Subcatchment. All of the ancillary processes possible in InfoSWMM: LID’s, 5 types of infiltration (Horton, Modified Horton, Green Ampt, Modified Green Ampt and SCS CN), groundwater, evaporation, snowmelt, 2D processes and water quality are active and used in the German Hydrology Option. Continue reading
Five ways to control the pump by controls in InfoSewer and H2OMAP Sewer. Here are a few examples and important features of the various InfoSewer Pump Controls. A pump in InfoSewer and H2OMAP Sewer uses a Newton-Raphson iteration process for 50 iterations or until the successive iterations between pump flows are 0.001 cfs.
- By Volume – control the pump by the pump volume (cubic feet or cubic meters). The on and off settings, pump curve and the iteration process applying to pumps are the controlling simulation features.
- By Level – control the pump by the pump level or depth ( feet or meters). The on and off settings, pump curve and the iteration process applying to pumps are the controlling simulation features.
- By Discharge – control the pump by the pump pattern in flow units. The pump pattern (discharge), pump curve and the iteration process applying to pumps are the controlling simulation features. The pump speed adjusts to main the pump pattern.
- By Inflow – control the pump by the inflow to the Wet Well. The Wet Well inflow, the iteration process applying to pumps are the controlling simulation features. The pump flow equals the inflow to the Wet Well and the Wet Well stays at a constant level.
- By Time – control the pump by the time speed pattern. The pump curve is used when the pump is turned on by the pattern.