Development of a web-based spatial decision support system (WSDSS) for river restoration

Development of a web-based spatial decision support system (WSDSS) for river restoration
Author: Andreas Zitek
Publisher: diplom.de
Total Pages: 70
Release: 2010-01-05
Genre: Science
ISBN: 3836640473

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Inhaltsangabe:Introduction: The main goal of this thesis is to develop a framework for a Web based Spatial Decision Support System (WSDSS) for supporting the development of river restoration strategies. Due to their free availability, open source/free GIS tools and technology are used to develop this decision support framework supporting a multi-user decision support platform via the web. The integration of latest multi-scale river ecological knowledge is assured by the strong relatedness of this thesis to a project that has been run at the University of Natural Resources and Applied Life Sciences (BOKU) in Vienna between 2005 and 2008 the MIRR project (Model based Instrument for River Restoration). By order of the Austrian Ministry of Life, being responsible for the implementation of the EU-Water Framework Directive, a strategic instrument to identify hydro-morphological restoration measures for running waters to enhance the ecological status of rivers in Austria measured by fish was developed at the Institute of Hydrobiology and Aquatic Ecosystem Management (IHG) at the BOKU based on comprehensive multivariate analyses of fish/pressure relationships using data from Lower Austria. The identification and quantification of the effects of the main relevant pressure types allowed the development of flow charts for guiding restoration activities at multiple scales. Up to now no tool exists allowing an automated evaluation of the effects of different restoration strategies on the ecological status of the so called water bodies, the relevant scale for action and reporting with regard to the EU-WFD. Furthermore existing web based GIS tools related to rivers and the implementation of the EU WFD in Austria and on an EU level do not allow any interaction with the data, and are therefore not well suited for decision support (for example the Water Information system of Austria WISA , or the Water Information System of Europe WISE ). The following parts of the MIRR project conducted under the supervision of the author of this thesis as work package leader, and can be seen as part of this thesis, although mainly content relevant for the development of the WSDSS framework is reproduced here: Literature research and definition of relevant parameters to model fish/pressure relationships on multiple spatial and temporal scales, Investigation and collection of the available GIS datasets in Austria, that might be of relevance for the MIRR project, and matching [...]

Spatial Decision Support Systems

Spatial Decision Support Systems
Author: Ramanathan Sugumaran
Publisher: CRC Press
Total Pages: 510
Release: 2010-11-15
Genre: Business & Economics
ISBN: 1420062123

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Although interest in Spatial Decision Support Systems (SDSS) continues to grow rapidly in a wide range of disciplines, students, planners, managers, and the research community have lacked a book that covers the fundamentals of SDSS along with the advanced design concepts required for building SDSS. Filling this need, Spatial Decision Support System

The Development and Assessment of a Spatial Decision Support System for Watershed Management in the Niantic River Watershed

The Development and Assessment of a Spatial Decision Support System for Watershed Management in the Niantic River Watershed
Author: Melinda Shimizu
Publisher:
Total Pages: 148
Release: 2014
Genre: Geographic information systems
ISBN:

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This dissertation advances spatial decision support system development theory by using a geodesign approach to evaluate design alternatives for such systems, including the impacts of the spatial model, technical spatial data, and user interface tools. These components are evaluated with a case study spatial decision support system for watershed management in the Niantic River watershed in Connecticut, USA. In addition to this case study, this dissertation provides a broader perspective on applying the approach to spatial decision support systems in general. The spatial model presented is validated, the impacts of the model are considered. The technical spatial data are evaluated using a new method developed to quantify data fitness for use in a spatial decision support system. Finally, the tools of the user interface are assessed by applying a conceptual framework and evaluating the resulting tools via user survey.

A Spatial Decision Support System for Economic Analysis of Sediment Control on Rangeland Watersheds

A Spatial Decision Support System for Economic Analysis of Sediment Control on Rangeland Watersheds
Author:
Publisher:
Total Pages: 532
Release: 2005
Genre:
ISBN:

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Spatial decision support systems (SDSS) integrate the state of the art technology, such as GIS, database and distributed models into decision support systems to support geospatial analysis that is particularly useful for watershed management, such as TMDL development on watersheds required by the Clean Water Act. This dissertation focuses on the development of a SDSS to assess the economic and environmental impacts from various best management practices (BMPs) in reducing sediment yield on rangeland watersheds. The SDSS included three major parts: the models, database and web-based interfaces. The model part is the core of the SDSS that provides the functionality of watershed economic analysis. The model maximized the profit of a representative ranch assumed to cover the whole watershed with the constraints of production technology, resource, sediment control objectives and sustainable utilization. A watershed was spatially segmented into basic units, each unit with similar plant growth and forage utilization. There are two major types of models, static and dynamic. Each model type supported variations in plant growth, grazing and ranch operations. Upland erosion was estimated through RUSLE2 and the sediment yield of a watershed was estimated from upland erosion and sediment delivery ratios for each basic unit. GAMS programs were used to solve the optimization models. The SDSS provides a platform to automatically implement the models. The database was the major tool in managing spatial and non-spatial data. A series of customized web pages were developed to support users' inputs, watershed analysis and result visualization. The embedded procedures were integrated into the SDSS to support analytical functionality, including geospatial analysis, model parameterization and web page generation. The SDSS was used to assess sediment control on the Walnut Gulch Experimental Watershed. The SDSS was parameterized primarily using publicly available data and a preliminary validation was made. The SDSS functionality was illustrated through eight applications. The results showed that given recent prices, new infrastructure practices would cause a financial burden to ranches. Better grazing management may provide an economic alternative to meet the sediment control objective and cost sharing could provide ranchers the incentives to participate in conservation plans.

A Spatial Decision Support System Utilizing Data from the Gap Analysis Program and a Bayesian Belief Network

A Spatial Decision Support System Utilizing Data from the Gap Analysis Program and a Bayesian Belief Network
Author: Jeremiah Percy Dumas
Publisher:
Total Pages:
Release: 2005
Genre: Fish populations
ISBN:

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With increased degradation of natural resources due to land use decisions and the subsequent loss of biodiversity across large spatial scales, there is a need for a Spatial Decision Support System (SDSS) which showcases the impacts of developments on terrestrial and aquatic ecosystems. The Gap Analysis Program (GAP) and a Bayesian Belief Network (BBN) were used to assess the impacts of an impoundment in the Bienville National Forest, Smith County, Mississippi on landcovers, threatened and endangered species, species richness and fish populations. A test impoundment site was chosen on Ichusa Creek and using GAP data, landcovers, species and species richness were compared with those of Bienville National Forest, Smith County, Mississippi. For the aquatic analysis, a BBN model was developed for each fish so that population probabilities could be calculated using a given configuration of available habitats and compared to current fish population.