A GIS-based management and publication framework for data handling of numerical model results

There has been an increasing awareness that large-scale datasets of earth-system model results would be produced and accumulated rapidly within the next few decades with extensive usage of numerical models. The successful exploration of these data for scientific research and engineering applications requires the capability of efficient storage, retrieval, integration and visualization of these large datasets. Robust publication methods are also needed to enable data exchange through the web to increase global research collaborations. In this study, a comprehensive GIS-based data management and publication framework (GMPF) was developed and applied to the use, representation, and analysis of hydrodynamic modeling results of Hamburg Port, Germany. Linking with GIS, a desktop- and a web-based model-results data atlas were developed to provide an interactive environment for various cartography and time series plots. The implementation of the framework was based on modular software design, open specifications and reuse of open source projects. The study results showed that the project life-cycle was shortened and development efforts were reduced through applying GMPF. The developed system could be integrated into commercial hydrodynamics software platforms to enhance the capability of model-results management and publication

GIS como ferramenta de ajuda pré- e pós-processamento de modelos hidrodinâmicos. Aplicação ao estuário do Guadiana

Dissertação de mest., Geomática (Análise de Sistemas Ambientais), Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2013The main objective of this work is to develop GIS based techniques to aid the setup of hydrodynamic models and to improve model results. This dissertation analyzes well-known GIS methods and proposes new ones to prepare and process estuarine model data. Estuarine hydrodynamic models require management of large quantities of georeferenced information. A Geographic Information System (GIS) can help to store, manage, analyze and display all these data during the input and the output phases. The hydrodynamics of the Guadiana Estuary was simulated using a 2D configuration in MOHID Water Modelling System, based on a boundary fitted curvilinear grid. GIS tools were used to pre-process the model grid and bathymetry. The water domain was extracted from the orthophoto using unsupervised classification of the image based on principal component analysis of the spectral bands. The large amount of bathymetric measurement points was decreased using a spatial regular pattern (hexagons). The missing bathymetry data in some very shallow parts of the estuary were estimated from the orthophoto using correlation between existing data and spectral band values. The bathymetry data were interpolated into curvilinear grids by several different methods, including an advanced method using river straightening (transformation to the along-channel coordinate system). The finite volume model MOHID was used to test these methods and evaluate the associated improvements. The model results were in good agreement with the observations under well-mixed conditions. Including the bathymetry estimated from orthophoto improved the accuracy of the simulations; and using advanced interpolation methods improved the results even more. The bathymetry interpolation in the channel-oriented coordinates significantly improved the direction of the water current. Good quality of the spatial input data was critical for obtaining good model results. The use of GIS tools to produce model inputs proved to be a valuable aid to coastal hydrodynamic modelling increasing substantially the model accuracy. This dissertation is useful in both theoretical and practical fields of science: in theoretical, by analyzing and developing GIS methods to prepare and process estuarine hydrodynamic model data, in practical, by creating an improved model setup for the Guadiana Estuary, using more accurate bathymetric data and a new curvilinear grid, thus obtaining more realistic results