681 research outputs found

    Bringing the OpenMI to LIFE Progress Report No. 4 - 31st March 2008 – 30th September 2008

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    The Water Framework Directive demands an integrated approach to water management. This requires the ability to predict how catchment processes will behave and interact in response to the activities of water managers and others. In most contexts, it is not feasible to build a single predictive model that adequately represents all the processes; therefore a means of linking models of individual processes is required. This is met by the FP5 HarmonIT project’s Open Modelling Interface and Environment (the OpenMI). The purpose of this project is to transform the OpenMI from a research output to a sustainable operational Standard. It will build the capacity to use the OpenMI and will demonstrate it under operational conditions. It will also develop, test and demonstrate the future support organisation for the OpenMI. Finally, information about the OpenMI will be disseminated to users

    Integrated ecological modelling for decision support in river management: a lowland river case study (Cauca river in Colombia)

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    Several practical concepts and software systems have been recently developed in the issue of environmental decision support. However, the application of ecological modelling approaches that integrate hydrodynamic, physical-chemical, and biological components sub-models for predicting macroinvertebrates in rivers, is rather limited and hardly described in literature. The Cauca river is one of most severe cases of contamination for domestic and industrial wastewater discharges in Colombia. One of the most sensitive problems in the Cauca river is the decrease of dissolved oxygen with concentrations near to zero (0) mg/l in some monitoring stations especially during dry season (low flows). Low DO levels affect the ecosystem equilibrium and the functioning and survival of biological communities. In this research an integration of habitat suitability models with the hydrodynamic and physical-chemical water quality model MIKE11 was performed. Ecological models (statistical models) that allow predicting the occurrence and the abundance of macroinvertebrates (Ephemeroptera, Trichoptera and Haplotaxida) in this river under different conditions were built. The integrated ecological model allows to model and to assess the ecological impact of wastewater discharges into the Cauca river and can help to calculate the needed reductions in discharges of organic matter to meet biological quality criteria in this river

    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System

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    A physical based, distributed hydrological model was developed to route overland flows during isolated HISD storms. The model has operated on a grid or cell basis and routed the excess rainfall over the grids, conforming to the DEM-derived drainage paths, to the basin outlet. The rainfall-runoff hydrological modelling was implemented in MATLAB 7.0. The system has integrated GIS, RS, DEM, data management capability and a dynamic basin model within a common Windows environment. The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. Due to the MATLAB architecture, the system has been proven successful for large-scale basin modeling, which requires high level resolution, record keeping and technical transfer. The model has estimated the runoff using the Soil Conservation Service-Curve Numbers (SCS-CN), determined by the land use/ land cover and the hydrological soil group found in each grid. The overland flow mechanics were described by the diffusion wave approximation of St Venant equations, which were numerically solved for depth of flow and runoff by the finite volume method (FVM). The grid cell physical properties such as topography, land use, soil, and Manning’s roughness’ coefficient were extracted from published maps for discretized cells of the Klang River basin(KRB) using a GIS. The land use/cover classes were derived from interpreted information of Landsat TM imagery using the combined object-oriented segmentation - fuzzy logic algorithm. The DEM of 90m resolution, used to calculate slopes that generated runoffs, was derived from radar data sets (C-band) of the Shuttle Radar Topography Mission (SRTM) using the interferometric approach. Four criteria were used for the assessment of the model performance - Model bias, Nash– Sutcliffe and model efficiencies for both low and high flows during both calibration and validation periods. The results showed the advantages of integrating RS, DEM and GIS with hydrologic simulation in generating runoff processes in the spatial domain, attaining as well fairly high precision simulation with the general hydrologic trends well captured by the model. This study has also involved the application of flood modeling, which has integrated the results of the grid-based overland flow routing model into MIKE11 onedimensional hydrodynamic model. The discharge hydrographs were extracted from the grid-based overland flow routing model in ASCII format and imported into MIKE11 hydrodynamic modeling system. The MIKE11 model was developed based on surveyed, stream cross-section data to perform hydrodynamic simulation of the flooding process. The MIKE11 modeling was applied to the Klang River system comprising 9 main tributaries. The analysis has considered the river system with and without Stormwater Management and Road Tunnel (SMART) project, which involve structural flood mitigations measures including retention ponds, bypass tunnel and flow diversions, where the river physical condition was modified accordingly. Hourly data for flow were created into compatible MIKE11 time series in a separate file as input to the parameter editors. Initial and boundary conditions were based on the inputs for MIKE11 operational analysis. It has been found that the modeled predictions of depth and discharge matched observed data. A good agreement between the simulated and observed data was achieved for rating curves with RMSE = 0.96, 0.94, 0.95, and 0.97 at respective calibration points. From the results revealed by the MIKE11 modeling simulation, there were evidences that SMART was useful for flood mitigation of Klang River Basin. For instance at Tun Perak Bridge, the normal level for the Klang River was 25m, the alert level was 28m and the danger level was 29.5m. The value from the simulation showed that the maximum water level without SMART was 32m. However this level with SMART was only 27.8m which did not exceed the alert and danger level at Tun Perak Bridge. This area is the most critical part of KL. Once the water level from the Klang River exceeds the flood wall, the whole KL will be badly flooded. Finally, the results of the runoff modeling were integrated in MIKE-GIS model for flood inundation mapping. A digital planimetric view and topographic mapping of the floodplain was developed using the three-dimensional floodplain visualization approach through the integration of a digital terrain model. This model was synthesized from MIKE11 stream cross-sectional coordinate into a digital surface model, generated from aerial stereo pair photos using Ortho Engine PCI image processing software. The resulting formulated surface model provided a good representation of the general landscape and contained additional details within the stream channel. Integration of 3D-GIS and spatial analytical techniques together with hydrologic and hydraulic modeling processes has enhanced the visualization and display techniques for visual presentation and generation of flood inundation maps for early warning and contingency planning

    Stanovenie záplavových zón v povodí Popradu s využitím hydrodynamických modelov

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    Import 29/09/2010Z hľadiska ochrany pred povodňami je dôležité spoznať a identifikovať areály, ktoré môžu byť potenciálnou povodňou reálne zasiahnuté, a teda je potrebné stanoviť záplavovú čiaru v modelovom území. Na mapovanie povodňovej hrozby a modelovanie inundácií je najefektívnejšie využívanie hydrodynamických modelov. Predložená diplomová práca sa zaoberá stanovením záplavových zón v povodí Popradu s využitím týchto hydrodynamických modelov. Aby sa mohli hydrologické objekty reality vniesť do modelu, je potrebné najprv vybudovať geodatabázu a z toho dôvodu sa časť práce venuje práve tejto problematike. Na samotné modelovanie boli použité hydrodynamické modely HEC-RAS a MIKE11, v ktorých prebiehal výpočet výšok hladiny vody v koryte, a tak mohli vzniknúť plochy potenciálnych inundácií.In terms of flood protection is important to recognize and identify areas that may be potentially affected by a real flood, and therefore it is necessary to provide flood line in the model area. For mapping of flood hazard and modeling of inundation, is the most efficient using hydrodynamic models. This thesis studies providing of flood zones in the Poprad basin, using the hydrodynamic models. In order to bring the reality of hydrological objects in the model, it is first necessary to build geodatabases and therefore part of this work is devoted to just this issue. For modeling itself was used hydrodynamic models HEC-RAS and MIKE11, which ran the calculation of high water levels in the river bed, and so may result areas of potential inundation.Prezenční548 - Institut geoinformatikydobř

    Impacts of uncontrolled discharge of acid rock drainage from Mount Morgan Minesite on Dee River

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    Uncontrolled discharge of Acid Rock Drainage (ARD) from Mount Morgan mine site accumulated over time poses significant environmental risk on the Dee River downstream. This paper investigates and flow dynamics and the ARD dispersion and dilution along the Dee River for a number of dam-break scenarios, especially to estimate the extent of downstream reduction in concentration in extreme weather conditions. Hydrologic data of Dee River was analysed and a detailed 1-D hydraulic river model was set up using Danish Hydraulic Institute, Mike 11, to simulate the contaminant transport of ARD. Simulation results of different weather condition assessed to be used as resource to proposed management options to minimise the risk of uncontrolled discharge into natural waterways. Results indicate that if dam break occur in a dry to medium season there is a risk of contamination of the downstream catchment. However if dam fails in a medium to wet season downstream concentration will be diluted to minimum 1.8 PSU

    An Evaluation Matrix to Compare Computer Hydrological Models for Flood Predictions

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    In order to predict and control the impacts of floods in torrents, it is important to verify the simulation accuracy of the most used hydrological models. The performance verification is particularly needed for applications in watersheds with peculiar climatic and geomorphological characteristics, such as the Mediterranean torrents. Moreover, in addition to the accuracy, other factors affect the choice of software by stakeholders (users, modellers, researchers, etc.). This study introduces a “performance matrix”, consisting of several evaluation parameters weighted by stakeholders’ opinions. The aim is to evaluate the accuracy of the flood prediction which is achieved by different models, as well as the pros and cons of software user experience. To this aim, the performances and requisites of four physical-based and conceptual models (HEC-HMS, SWMM, MIKE11 NAM and WEC-FLOOD) have been evaluated, by predicting floods in a midsized Mediterranean watershed (Mèsima torrent, Calabria, Southern Italy). In the case study, HEC-HMS and MIKE 11 NAM were the best computer models (with a weighted score of 4.45 and 4.43, respectively), thanks to their low complexity and computation effort, as well as good user interface and prediction accuracy. However, MIKE11 NAM is not free of charge. SWMM showed a lower prediction accuracy, which put the model in third place of the four models. The performance of WEC-FLOOD, although not being as good as for the other tested models, can be considered overall acceptable in comparison to the other well-consolidated models, considering that WEC-FLOOD is in the early stage of development. Overall, the proposal of the performance matrix for hydrological models may represent a first step in building a more complete evaluation framework of the hydrological and hydraulic commercial models, in order to give indications to allow potential users to make an optimal choice
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