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The Development of the Contaminant Exceedance Rating System (CERS) for Comparing Groundwater Contaminant DataMierzwiak, Sara M. January 2012 (has links)
No description available.
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Degradation of Chlorinated Hydrocarbons in Groundwater Passing Through the Treatment Wetland at Wright-Patterson Air Force Base: Analysis of Results Collected During 2001-'06Therrien, Annamarie F. January 2012 (has links)
No description available.
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Using Roadkill as a Lens to Understand Animal Movement and MortalityJonaitis, Lauren A. 20 July 2017 (has links)
No description available.
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Confección de modelos de redes de distribución de agua desde un Sig y desarrollo de herramientas de apoyo a la toma de decisionesBartolín Ayala, Hugo José 31 October 2013 (has links)
Advances in information technology in the past two decades have seen innovations in the field of domestic
and industrial computing that led to a paradigm shift in the management and operation of urban water
systems by water utility companies. The traditional public management policy that focused on ensuring a
minimum quality of service regardless of the costs associated with the processes of catchment, treatment
and distribution of water, in many cases even unknown, have evolved towards more efficient cost sensitive
models. These new wholly or partly public funded management systems improve not only the quality of
service offered to users, but also optimize resources by reducing the cost and causing the minimum
environmental impact.
The new challenges raised by the European Water Framework1 Directive by imposing cost recovery to
improve water efficiency and environmental sustainability have led to a significant change at all levels of
water management. Consequently, new priorities have been established in terms of infrastructure
management that require the reduction of water losses and the improvement of the water efficiency in
urban networks for human consumption. Likewise, in a broader context which includes the water--energy
binomial, it is also desirable to improve the energy efficiency and carbon emissions of these systems.
Today, network sectoring is the most commonly used strategy to improve management and increase network
performance. It basically consists of dividing the network into several smaller hydraulic sectors, where water
inlets and outlets are perfectly controlled. This simplifies the task of carrying out periodic water balances in
each of the sectors, and allows water loss volume to be assessed for a given period of time.
As configuring network sectors is not a trivial task, it is therefore important to have appropriate tools to
perform the task efficiently and effectively. Mathematical models can play an important role as decision
support tools to help water managers assess the performance of water network distribution systems.
This thesis aims to address the current problems of managing urban water networks by combining new
information-processing technologies with innovative network modelling techniques. It intends to facilitate the
system diagnosis and extend the use of models on the decision-making process to provide better solutions to
the management of urban water networks.
For this purpose a software extension that works on a geographic information system (GIS) has been
developed. It integrates: the hydraulic and water quality simulation program EPANET 2, innovative tools for
model analysis and diagnostic, automatic tools for sectoring and computing tools to conduct water balances
in the sectors using actual measurements.
The work demonstrates the compatibility and complementarity of GIS and hydraulic models as technologies
that can be used to support the assessment and diagnosis of water distribution networks. Considering that the
majority of information linked to the network system has some geographic reference, it is not surprising that
GIS has become a popular tool for dealing with such information. At the same time, the integration of
mathematical modelling and simulation tools, offers the GIS a new dimension in the realm of hydraulic study
of water networks. Furthermore, if this specific integration is provided with new features aimed not only to
facilitate the model building, but also to assist the user in decision-making using powerful algorithms based on
the application of the graph theory, the result is a powerful up-to-date analytical tool, which opens up new
possibilities in the field of management and efficient operation of urban water supply systems. / Bartolín Ayala, HJ. (2013). Confección de modelos de redes de distribución de agua desde un Sig y desarrollo de herramientas de apoyo a la toma de decisiones [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/33152
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Eine deutschlandweite Potenzialanalyse für die Onshore-Windenergie mittels GIS einschließlich der Bewertung von SiedlungsdistanzenänderungenMasurowski, Frank 11 July 2016 (has links)
Die Windenergie an Land (Onshore-Windenergie) ist neben der Photovoltaik eine der tragenden Säulen der Energiewende in Deutschland. Wie schon in der Vergangenheit
wird auch zukünftig der Ausbau der Onshore-Windenergie, mit dem Ziel eine umweltgerechte
und sichere Energieversorgung für zukünftige Generationen aufzubauen, durch die Politik massiv vorangetrieben. Für eine planvolle Umsetzung der Energiewende, insbesondere im Bereich der Windenergie, müssen Kenntnisse über den zur Verfügung stehenden Raum und der Wirkungsweise standortspezifischer Faktoren auf planungsrechtlicher Ebene vorhanden sein. In der vorliegenden Arbeit wurde die Region Deutschland auf das für dieWindenergie an Land nutzbare Flächenpotenzial analysiert, von diesem allgemein gültige Energiepotenziale abgeleitet und in einer Sensitivitätsanalyse die Einflüsse verschiedener Abstände zwischen den Windenergieanlagen und Siedlungsstrukturen auf das ermittelte Energiepotenzial untersucht. Des
Weiteren wurden für die beobachteten Zusammenhänge zwischen den Distanz- und
Energiepotenzialänderungen mathematische Formeln erstellt, mit deren Hilfe eine Energiepotenzialänderung in Abhängigkeit von spezifischen Siedlungsdistanzänderungen vorhersagbar sind. Die Analyse des Untersuchungsgebiets (USG) hinsichtlich des zur Verfügung stehenden Flächenpotenzials wurde anhand eines theoretischen Modells, welches die reale Landschaft mit ihren unterschiedlichen Landschaftstypen und Infrastrukturen widerspiegelt, umgesetzt. Auf Basis dieses Modells wurden so genannte „Basisflächen“ sowie für die Onshore-Windenergie nicht nutzbare Flächen (Tabu- oder Ausschlussflächen) identifiziert und mittels einer GIS-Software (Geographisches Informationssystem) verschnitten.
Die Identifizierung der Ausschlussflächen erfolgte über regionalisierte beziehungsweise
im gesamten USG geltende multifaktorielle Bestimmungen für die Platzierung von Windenergieanlagen (WEA). Zur Gewährleistung einer einheitlichen Konsistenz wurden die verschiedenen Regelungen, welche aus den unterschiedlichsten Quellen stammen, vereinheitlicht, vereinfacht und in einem so genannten „Regelkatalog“ festgeschrieben. Die Berechnung des im USG maximal möglichen Energiepotenzials erfolgte durch eine Referenzanlage, welche im USG räumlich verteilt platziert wurde. Die Energiepotenziale (Leistungs- und Ertragspotenzial) leiten sich dabei aus der Kombination der räumlichen Lage der WEA, den technischen Leistungsspezifikationen der Referenzanlage und dem regionalem Windangebot ab. Eine wesentliche Grundvoraussetzung für die Berechnung der Energiepotenziale lag in der im Vorfeld durchzuführenden Windenergieanlagenallokation auf den Potenzialflächen begründet. Zu diesem Zweck wurde die integrierte Systemlösung „MAXPLACE“ entwickelt. Mit dieser ist es möglich, WEA unter Berücksichtigung von anlagenspezifischen, wirtschaftlichen und sicherheitstechnischen Aspekten in einzelnen oder zusammenhängenden Untersuchungsregionen zu platzieren. Im Gegensatz zu bereits bestehenden Systemlösungen (Allokationsalgorithmen) aus anderen Windenergie-Potenzialanalysen zeichnet sich die integrierte Systemlösung „MAXPLACE“ durch eine sehr gute Effizienz, ein breites Anwendungsspektrum sowie eine einfache Handhabung aus.
Der Mindestabstand zwischen den WEA und den Siedlungsstrukturen stellt den größten Restriktionsfaktor für das ermittelte Energiepotenzial dar. Zur Bestimmung der Einflussnahme von Siedlungsdistanzänderungen auf das Energiepotenzial wurde mit Hilfe des erstellten Landschaftsmodells eine Sensitivitätsanalyse durchgeführt. In dieser wurden die vorherrschenden Landschafts- und Infrastrukturen analysiert und daraus standortbeschreibende Parameter abgeleitet. Neben der konkreten Benennung der Energiepotenzialänderungen, wurden für das gesamte USG mathematische Abstraktionen der beobachteten Zusammenhänge in Form von Regressionsformeln ermittelt. Diese Formeln ermöglichen es, ohne die in dieser Arbeit beschriebene aufwendige Methodik nachzuvollziehen, mit nur wenigen Parametern die Auswirkungen einer Siedlungsdistanzänderung auf das Energiepotenzial innerhalb des Untersuchungsgebiets zu berechnen.
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Räumliche, GIS-gestützte Analyse von Linientransektstichproben / Spatial, GIS-aided analysis of line transect surveysMader, Felix 09 March 2007 (has links)
No description available.
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Oceanographic Considerations for the Management and Protection of Surfing BreaksScarfe, Bradley Edward January 2008 (has links)
Although the physical characteristics of surfing breaks are well described in the literature, there is little specific research on surfing and coastal management. Such research is required because coastal engineering has had significant impacts to surfing breaks, both positive and negative. Strategic planning and environmental impact assessment methods, a central tenet of integrated coastal zone management (ICZM), are recommended by this thesis to maximise surfing amenities. The research reported here identifies key oceanographic considerations required for ICZM around surfing breaks including: surfing wave parameters; surfing break components; relationship between surfer skill, surfing manoeuvre type and wave parameters; wind effects on waves; currents; geomorphic surfing break categorisation; beach-state and morphology; and offshore wave transformations. Key coastal activities that can have impacts to surfing breaks are identified. Environmental data types to consider during coastal studies around surfing breaks are presented and geographic information systems (GIS) are used to manage and interpret such information. To monitor surfing breaks, a shallow water multibeam echo sounding system was utilised and a RTK GPS water level correction and hydrographic GIS methodology developed. Including surfing in coastal management requires coastal engineering solutions that incorporate surfing. As an example, the efficacy of the artificial surfing reef (ASR) at Mount Maunganui, New Zealand, was evaluated. GIS, multibeam echo soundings, oceanographic measurements, photography, and wave modelling were all applied to monitor sea floor morphology around the reef. Results showed that the beach-state has more cellular circulation since the reef was installed, and a groin effect on the offshore bar was caused by the structure within the monitoring period, trapping sediment updrift and eroding sediment downdrift. No identifiable shoreline salient was observed. Landward of the reef, a scour hole ~3 times the surface area of the reef has formed. The current literature on ASRs has primarily focused on reef shape and its role in creating surfing waves. However, this study suggests that impacts to the offshore bar, beach-state, scour hole and surf zone hydrodynamics should all be included in future surfing reef designs. More real world reef studies, including ongoing monitoring of existing surfing reefs are required to validate theoretical concepts in the published literature.
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GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling / GIS-based Episode Reconstruction Using GPS DataDalumpines, Ron 26 September 2014 (has links)
Most transportation problems arise from individual travel decisions. In response, transportation researchers had been studying individual travel behavior – a growing trend that requires activity data at individual level. Global positioning systems (GPS) and geographical information systems (GIS) have been used to capture and process individual activity data, from determining activity locations to mapping routes to these locations. Potential applications of GPS data seem limitless but our tools and methods to make these data usable lags behind. In response to this need, this dissertation presents a GIS-based toolkit to automatically extract activity episodes from GPS data and derive information related to these episodes from additional data (e.g., road network, land use).
The major emphasis of this dissertation is the development of a toolkit for extracting information associated with movements of individuals from GPS data. To be effective, the toolkit has been developed around three design principles: transferability, modularity, and scalability. Two substantive chapters focus on selected components of the toolkit (map-matching, mode detection); another for the entire toolkit. Final substantive chapter demonstrates the toolkit’s potential by comparing route choice models of work and shop trips using inputs generated by the toolkit.
There are several tools and methods that capitalize on GPS data, developed within different problem domains. This dissertation contributes to that repository of tools and methods by presenting a suite of tools that can extract all possible information that can be derived from GPS data. Unlike existing tools cited in the transportation literature, the toolkit has been designed to be complete (covers preprocessing up to extracting route attributes), and can work with GPS data alone or in combination with additional data. Moreover, this dissertation contributes to our understanding of route choice decisions for work and shop trips by looking into the combined effects of route attributes and individual characteristics. / Dissertation / Doctor of Philosophy (PhD)
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