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International conference "Innovation, advances and implementation of flood forecasting technology"The FLOODRELIEF team held their final conference in a joint event with two other EU projects FLOODMAN and ACTIF. This event attracted more than 90 participants from 25 countries including the US, New Zealand, Australia, China and India as well as many of the Europe. There were many high quality presentations covering forecasting research, novel case studies and communicating flood warning. Highlights included presentations of the proposed "EU Floods Directive", an operational flash flood forecasting system for Central America, flood forecasting and flood management in China and an operational forecasting for a system of 42 reservoirs in Spain. For more information about the conference and other FLOODRELIEF activities join our mailing list. The conference highlighted the need to come to terms with the inherent uncertainty in forecasting both in terms of estimating this uncertainty and using this for risk assessment and flood warning. Nevertheless forecasting floods (and droughts), in advance, is a sustainable way of adapting to and managing such disasters, especially extreme events. This is recognised for example in the Bonn Recommendations for Action (2001). 'Water management arrangements should take account of climate variability and expand the capacity to identify trends, manage risks and adapt to hazards such as floods and droughts. Anticipation and prevention are more effective and less expensive than having to react to emergencies. Early warning systems should become an integral part of water resources development and planning.' The recent floods (and droughts) in Europe during the summer of 2005 provided a sobering reminder of the need for effective flood forecasting and management. For further information please contact Dr. M. Butts at mib@dhi.dk | ||||||||||||||||||||||||||||
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Uncertainty of dynamic capture zones using MIKE SHE with AUTOCAL OfficeGRIDWell head protection areas (WHPA) are a common planning tool for reducing the risk of contamination to drinking water supply wells. MIKE SHE was recently used in Denmark to evaluate the uncertainty associated with WHPA delineation, which is ignored in traditional, deterministic WHPA delineation. Calibration parameters consisted of the horizontal and vertical conductivity for 23 geologic units defined for the saturated zone, a uniform drainage constant, and a uniform streambed leakage coefficient. The calibration was based on a 10-year record of groundwater levels at 148 observation wells and river flow rates at five hydrograph stations. The AUTOCAL program was first adopted for an initial sensitivity analysis to identify the most important model parameters to be optimised. AUTOCAL OfficeGRID was then applied to find the balanced optimum parameter set for the 16 most sensitive parameters by distributing the nearly 1000 model simulations during the optimisation over the office network to make the calibration problem feasible. Each model simulation took about 30 CPU minutes, requiring a total of about 3 weeks of simulation time on a single PC. By distributing the computational load using OfficeGRID the total simulation time was reduced to a couple of days.
Based on the evaluated parameter uncertainties at the balanced optimum parameter set, a set of 85 statistically representative models were generated using Latin Hypercube Sampling. MIKE SHE water movement and particle tracking simulations were then made for each of the 85 models using AUTOCAL OfficeGRID. The birth locations of all particles captured by the wells in all 85 simulations were analysed to develop a composite picture of the probability of capture.
AUTOCAL OfficeGRID provides distributed computing facilities that enable parameter optimisation and uncertainty analysis in computationally demanding models by effective utilisation of multi-processor PCs and PCs connected in a network. The workload is distributed to a number of PCs whereby the computation time can be reduced significantly. AUTOCAL OfficeGRID does not require execution on a dedicated cluster of PCs but can be used on the existing network of PCs in the organisation. The OfficeGRID network is dynamic and PCs can join and leave the network while an AUTOCAL application is running. Thus, AUTOCAL OfficeGRID allows for effective utilisation of the existing computational resources, which are otherwise unused outside normal working hours. For further information please contact Dr. H. Madsen at hem@dhi.dk | ||||||||||||||||||||||||||||
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Snowmelt in MIKE SHEMIKE SHE allows you to simulate all of the processes in the land phase of the hydrologic cycle. That is, all of the process involving water movement after the precipitation falls. However, precipitation falls as rain or snow depending on the air temperature. If the air temperature is below the freezing point, precipitation will accumulate as snow until the temperature increases to the melting point. In MIKE SHE, the amount of accumulated snow that melts is calculated on the basis of the degree-day using a simple method that only requires the air temperature, a degree-day factor [mm snow/day/degree C] and a threshold temperature. The Threshold melting temperature is the temperature at which melting begins (usually 0 C), whereas the degree-day factor is the amount of snow that melts per day for every degree the temperature is above the threshold melting temperature. If the air temperature is above the threshold melting temperature then the snow will begin to melt and all the other processes will proceed normally, However, if the air temperature is below the Threshold melting temperature, then the ET module will remove water from the snow storage as sublimation before any other ET is removed. In MIKE SHE's user interface, air temperature is a fully distributed parameter, similar to precipitation, whereas, the Degree-day factor and the Threshold temperature are both single values for the entire model. However, this has proven too inflexible, so these two parameters can now be specified as full-distributed values, by means of the Extra Parameters (The details can be found in the on-line help). | ||||||||||||||||||||||||||||
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Waters in winter dress - handling ice in MIKE 21 / 3 FMOne of the new features in Release 2005 is that it is now possible to include the effects of ice coverage on the flow field in the FM series like in the classic MIKE 3. The ice coverage can be specified in different ways, e.g. by ice concentration and/or ice thickness. In cases where the ice concentration (the area coverage ratio of the ice) is specified the effect of the ice is taken into account in areas where the ice concentration becomes larger than a user-specified critical concentration. For the case where only the ice thickness is specified the effect of the ice is taken into account in areas where the ice thickness is larger than zero. Maps representing the development of the ice concentration and/or thickness over the simulation period are used as input. In areas where the sea is covered by ice the wind stress is excluded, i.e. the wind speed is set to zero. Furthermore, the effect of the ice roughness on the flow field can be included. In this case the roughness height is specified either as a constant (in the domain) or varying in the domain. For the case with spatial varying roughness a data file containing the drag coefficient or the roughness height are prepared prior to the hydrodynamic simulation. | ||||||||||||||||||||||||||||
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Cleaner waters in Toronto with MIKE 3City of Toronto's Water pollution uses DHI's MIKE 3 model for evaluating shoreline water quality improvements in Lake Ontario. To address the problems with and provide a solution for storm water pollution, Toronto has developed a 25-Year Plan. In order to evaluate and demonstrate the beneficial impacts of this plan on the lakeshore water quality, the City of Toronto prepared a three-dimensional water quality model using DHI's MIKE 3 software. Seasonal or annual exceedence of water quality objectives are generally the decision variable of concern. - read more http://www.dhisoftware.com/general/News/TorontoM3Nov05/index.html | ||||||||||||||||||||||||||||
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Golden coasts with MIKE 21Fully dynamic morphological models are increasingly being used to optimise shore protection measures. Read about Dr Roshanka Ranasinghe analyses of submerged breakwaters, which were recently published in the newsletter from the Department of Natural Resources of New South Wales, Australia. For this study Rosh uses DHI's new morphological tools in MIKE 21 - further details are available here (pdf) | ||||||||||||||||||||||||||||
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MIKE 11 the last five yearsEach year we invest heavily in the continuous development of our software products. Not only adding new features but also in making the tools more user-friendly and versatile. If you subscribe to the DHI Software Service and Maintenance Agreement then you harvest the benefits of this investment and add new capabilities to your tools thereby maintaining the competitive edge. Some of the features added to MIKE 11 the last five years are shown here.
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MIKE 11 spatially distributed rainfall-runoffYou can now improve your rainfall-runoff models by fully utilizing your spatially distributed rainfall and land use data. This is done simply by linking MIKE 11 to the surface water and groundwater model MIKE SHE. MIKE SHE provides a fully distributed hydrology model.
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The DHISoftware course calendar has been updated with a number of new courses. Please check the calendar. Course held in December are listed below in this newsletter.
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