Client Service Managers/Technical Sales Managers (Wallingford, UK)
We have immediate full-time openings for ambitious, enthusiastic and outgoing client service managers/technical sales managers (technical sales professionals) for supporting our Marketing Team with sales and events through demos and benchmarks throughout Europe and the Middle East. You will also be responsible for creating and managing new businesses and maintaining excellent client relationships for existing accounts. We are seeking candidates who enjoy working with a team and have strong oral communication skills for the development of technical demos, interfacing with customers, and participating in trade shows. Must be willing to travel.
Qualifications: A B.S. or M.S. (Ph.D. preferred) degree in civil, water resources or environmental engineering or a related field; sales/consulting experience; knowledge of Innovyze wastewater products; excellent communication, presentation and negotiation skills.
Client Service Managers/Sales Managers (various US locations)
We have immediate full-time openings for ambitious, enthusiastic and outgoing client service managers/sales managers (technical sales professionals) for supporting our Marketing Team with sales and events through demos and benchmarks. You will also be responsible for creating and managing new businesses and maintaining excellent client relationships for existing accounts. We are seeking candidates who enjoy working with a team and have strong oral communication skills for the development of technical demos, interfacing with customers, and participating in trade shows. Must be willing to travel.
Qualifications: A B.S. or M.S. (Ph.D. preferred) degree in civil or environmental engineering or a related field; sales/consulting experience; knowledge of Innovyze products; excellent communication, presentation and negotiation skills.
If you are looking to make a change, Innovyze is a great place to work. Please send us your resume including salary history and professional references by e-mail to Timothy.J.Gallagher@innovyze.com.
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.
Flood hazard maps are usually based on a unique flood extent generated by running deterministic models for a single set if boundary inputs. However, various factors can affect drainage systems and the flood hazard map generated is not generally unique. To overcome this issue, a methodology to generate stochastic flood maps with InfoWorks ICM was recently published in the Stochastic Environmental Research and Risk Assessment Journal:
This methodology considers the variable capacity of sewer inlets to generate flood hazard maps and was tested in the Zona Central catchment, Coimbra, Portugal. This catchment had suffered from several floods that have essentially been caused by the limited capacity of sewer inlets due to steep slopes and clogging during rainfall events. The catchment has an area of approximately 1.5 km2 and the ICM model includes 1008 inlets.
The methodology presented is based on running several simulations with variable capacity of the sewer inlets prone to clogging. After the identification of the critical inlets prone to clogging, their maximum capacity was considered variable according to a probabilistic distribution (Beta-PERT). Then, each run is based on a set of simulations which consider the overall results and therefore dictate a flood probability. In more detail, Monte Carlo analysis are carried out to define the number of simulations necessary for stable results. The results are based on the analysis of the maximum water depth of 2D elements, which are considered flooded if the water depth is higher than a defined threshold. In the end, each 2D element have a probability of flooding according to the set of simulations analysed. Continue reading