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GIS-based reservoir planning with li...

Cvar, Aaron.

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GIS-based reservoir planning with limited data in developing nations: A case study of the lower Mekong River basin.

Record Type:	Electronic resources : Monograph/item
Title/Author:	GIS-based reservoir planning with limited data in developing nations: A case study of the lower Mekong River basin./
Author:	Cvar, Aaron.
Description:	304 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.
Contained By:	Dissertation Abstracts International76-05B(E).
Subject:	Water Resource Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3672010
ISBN:	9781321493146

GIS-based reservoir planning with limited data in developing nations: A case study of the lower Mekong River basin.
Cvar, Aaron.

GIS-based reservoir planning with limited data in developing nations: A case study of the lower Mekong River basin. - 304 p.

Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.

Thesis (Ph.D.)--Colorado State University, 2014.

This item must not be sold to any third party vendors.

Planning for construction and operation of water resources infrastructure requires high quality data to explain water demands, environmental conditions, and a range of impacts on economic, social, and natural systems. Where the required data are scarce or of low quality, poor decisions are often made and this has been the case in developing nations for many years. For past infrastructure planning, paper copies of maps, aerial imagery, aerial topography, and field data were required, but in developing nations these might not be available. Now, however, the situation has changed as global-scale geospatial data combined with the powerful capabilities of a geographic information system such as ArcGIS (by ESRI) have created the potential to assist greatly in water resources planning.

ISBN: 9781321493146Subjects--Topical Terms:

1669219
Water Resource Management.

GIS-based reservoir planning with limited data in developing nations: A case study of the lower Mekong River basin.
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100 1 $a Cvar, Aaron. $3 3171477
245 1 0 $a GIS-based reservoir planning with limited data in developing nations: A case study of the lower Mekong River basin.
300 $a 304 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.
500 $a Adviser: Neil S. Grigg.
502 $a Thesis (Ph.D.)--Colorado State University, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Planning for construction and operation of water resources infrastructure requires high quality data to explain water demands, environmental conditions, and a range of impacts on economic, social, and natural systems. Where the required data are scarce or of low quality, poor decisions are often made and this has been the case in developing nations for many years. For past infrastructure planning, paper copies of maps, aerial imagery, aerial topography, and field data were required, but in developing nations these might not be available. Now, however, the situation has changed as global-scale geospatial data combined with the powerful capabilities of a geographic information system such as ArcGIS (by ESRI) have created the potential to assist greatly in water resources planning.
520 $a The potential of the new data systems has been recognized by international water planning organizations and has led to the research question: "Now that the data is available, how can we effectively tap into it and utilize it for water resource planning in developing nations?".
520 $a The new information technologies actually create a new paradigm for the water resource planning process and bypass the arduous and expensive task of collecting the massive amounts of data required in traditional approaches. Also, the new information technologies will enable decision makers to anticipate and mitigate natural disasters, and will offer resources for training and educational purposes.
520 $a The study probes the use of the new technologies to enable decision makers to explore more alternatives, achieve better decisions, and identify the impacts of planning decisions. It addresses two facets of the data revolution as it applies to water resources planning. First, because of the vastly expanded accessibility of data via the Internet, the study identifies the types of data and new channels for data availability and analyzes their suitability for planning purposes. The second part of the study explores how the expanded availability of data can transform traditional planning processes and improve transparency, as demonstrated in an example case of reservoir system development in developing nations.
520 $a To identify the types of data and channels for data availability, the study created a system to transform global geospatial data into packaged "Data Products" for reservoir planning. This was accomplished by creating tools and models that provide decision support for key reservoir planning questions, such as annual yield or hydropower production expected at a potential site, irrigable areas, and related questions. These tools and models allow the decision maker to manipulate and extract geospatial data required for planning from a geographic information system. Some of the tools and models will process data for export into a spreadsheet.
520 $a To address how the expanded availability of data can change traditional planning processes and improve transparency, a model planning process was formulated to conduct reservoir planning tasks on a regional scale. It is now recognized that the planning process for a new reservoir must take into consideration potential adverse impacts alongside the perceived benefits of a planned reservoir. History gives us many examples of reservoirs which have been planned with only the benefits being considered, resulting in devastating human and environmental costs. Cross-border impacts also have not in many cases been considered in the traditional planning process, and examples are also given here of significant turmoil, both environmental and social. The planning process proposed in this research provides a platform for more open communication of these potential adverse impacts, as well as the potential benefits of alternative project proposals.
520 $a To test the data platforms and planning methods, two case studies in the Lower Mekong River Basin were conducted. The first case study screens potential reservoir sites and answers fundamental reservoir planning questions for each site using the data products, tools and models. The second case study takes the planning questions further to assess the flood control benefits of a potential reservoir. It shows how, in addition to assessing site feasibility, the data products, tools, and models can provide a decision maker in estimating the benefits of flood control scenarios.
520 $a The efficiency of the methodology is demonstrated in the screening activities conducted within the first case study. Potential reservoir sites were evaluated, and fundamental reservoir planning questions were answered for each potential site in a matter of hours, once the data products, tools and models were set up for the case study area. The tools and models also enable the consideration of potential adverse impacts as well as potential benefits of alternate sites. The spatial framework of GIS facilitates a decision support method where stakeholders can visualize the tradeoffs. This will improve communication of positive and negative aspects of alternative sites and show the prioritization of evaluation criteria to expose any pre-disposed bias towards potential benefits or adverse impacts. This communication will enhance decision makers' understanding, as well as facilitate public forums, presentations, and information campaigns.
520 $a The new and innovative aspects of this research are to combine and utilize multiple data sets to create more efficient and effective planning and decision support systems. As seen in the literature review, the primary focus of many past studies on the subject of reservoir planning and decision support has been on single data sets. This research aspires to provide a more inclusive perspective, showing the multiple data sets now available, and the advantage of combining these data. In a sense, this research proposes a means for synthesizing data sets for the purpose of reservoir planning and decision support in data limited areas and developing nations. In addition to combining data sets, the study demonstrated how to utilize the increasing power of raster DEM's to carry out specific planning study elements, such as rapidly estimating reservoir stage-storage curves.
590 $a School code: 0053.
650 4 $a Water Resource Management. $3 1669219
650 4 $a Environmental Management. $3 893809
650 4 $a Engineering, Civil. $3 783781
690 $a 0595
690 $a 0474
690 $a 0543
710 2 $a Colorado State University. $b Civil & Environmental Engineering. $3 2094045
773 0 $t Dissertation Abstracts International $g 76-05B(E).
790 $a 0053
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3672010