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Theoretical Framework for Addressing Reservoir Sustainability Using Open Access Remote Sensing Data.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Theoretical Framework for Addressing Reservoir Sustainability Using Open Access Remote Sensing Data./
作者:
Shugart-Schmidt, Wesley Howard Ancil.
面頁冊數:
1 online resource (133 pages)
附註:
Source: Masters Abstracts International, Volume: 83-07.
Contained By:
Masters Abstracts International83-07.
標題:
Sustainability. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28492354click for full text (PQDT)
ISBN:
9798759994152
Theoretical Framework for Addressing Reservoir Sustainability Using Open Access Remote Sensing Data.
Shugart-Schmidt, Wesley Howard Ancil.
Theoretical Framework for Addressing Reservoir Sustainability Using Open Access Remote Sensing Data.
- 1 online resource (133 pages)
Source: Masters Abstracts International, Volume: 83-07.
Thesis (M.Sc.S.E.)--Villanova University, 2021.
Includes bibliographical references
Water scarcity and stress affect communities globally. Societies have been defined by their access to water; its social, technological, environmental, economic, and political impacts permeate every aspect of civilization. One important, though often overlooked, driver of water scarcity is that of reduced water system viability due to storage volume loss attributed to unsustainable sedimentation generation within the watershed. Traditionally, sediment modeling and management is a costly process, requiring extensive field data collection, resources, complex computational modeling, and highly trained personnel. The purpose of this thesis was to develop a theoretical framework by which individuals and organizations can determine the sedimentation susceptibility of a reservoir of interest under defined conservation and degradation scenarios using open access remotely sensed data, GIS-based analysis programs, and a simple open one-dimensional geomorphic model. The framework was then implemented in three hydrologically and geologically distinct locations in the Darien province of Panama and the Western Peninsula of Sierra Leone. Each system was subjected to predefined deforestation, forest degradation, and conservation scenarios and the results were analyzed to assess the impact of variations in their land cover and hydrologic profile on reservoir sustainability. It was found that the developed framework results in gradient of change estimates for the impact of these scenarios on reservoir sustainability and can be applied using exclusively open access remotely sensed data. This framework reduces resource, data, and training barriers that otherwise limit the ability of stakeholders to model and evaluate how changes to watersheds and conservation strategies affect water resources and water scarcity.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798759994152Subjects--Topical Terms:
1029978
Sustainability.
Subjects--Index Terms:
Open access dataIndex Terms--Genre/Form:
542853
Electronic books.
Theoretical Framework for Addressing Reservoir Sustainability Using Open Access Remote Sensing Data.
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Water scarcity and stress affect communities globally. Societies have been defined by their access to water; its social, technological, environmental, economic, and political impacts permeate every aspect of civilization. One important, though often overlooked, driver of water scarcity is that of reduced water system viability due to storage volume loss attributed to unsustainable sedimentation generation within the watershed. Traditionally, sediment modeling and management is a costly process, requiring extensive field data collection, resources, complex computational modeling, and highly trained personnel. The purpose of this thesis was to develop a theoretical framework by which individuals and organizations can determine the sedimentation susceptibility of a reservoir of interest under defined conservation and degradation scenarios using open access remotely sensed data, GIS-based analysis programs, and a simple open one-dimensional geomorphic model. The framework was then implemented in three hydrologically and geologically distinct locations in the Darien province of Panama and the Western Peninsula of Sierra Leone. Each system was subjected to predefined deforestation, forest degradation, and conservation scenarios and the results were analyzed to assess the impact of variations in their land cover and hydrologic profile on reservoir sustainability. It was found that the developed framework results in gradient of change estimates for the impact of these scenarios on reservoir sustainability and can be applied using exclusively open access remotely sensed data. This framework reduces resource, data, and training barriers that otherwise limit the ability of stakeholders to model and evaluate how changes to watersheds and conservation strategies affect water resources and water scarcity.
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