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Maximizing sustainable regional prod...

Pfahler, David Aaron.

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Maximizing sustainable regional production: Balancing water, energy, and Carbon.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Maximizing sustainable regional production: Balancing water, energy, and Carbon./
Author:	Pfahler, David Aaron.
Description:	157 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-07(E), Section: A.
Contained By:	Dissertation Abstracts International75-07A(E).
Subject:	Sustainability. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3586502
ISBN:	9781303821387

Maximizing sustainable regional production: Balancing water, energy, and Carbon.
Pfahler, David Aaron.

Maximizing sustainable regional production: Balancing water, energy, and Carbon. - 157 p.

Source: Dissertation Abstracts International, Volume: 75-07(E), Section: A.

Thesis (Ph.D.)--University of Florida, 2013.

Regional sustainability is a question of increasing importance for regional planners with water and energy use and the production of greenhouse gases (GHG) emerging as chief constraints on achieving sustainability in the long term. Modeling the sustainability of regions is difficult as one must predict the impacts of cascading interactions within complex social-ecological systems. In this dissertation a combination of Economic Input Output Life Cycle Assessment and linear optimization methods was explored as a way to model regional sustainability. The Peace River region of central Florida was used as a case study for the model. The goal function of the optimization was to maximize regional economic output measure in both monetary and emergy terms. The model optimized regional production under water, energy, and GHG emission constraints by changing the area devoted to individual land uses. Each of the constraints was tested separately and in combination. The results of the model showed that changing the mix of land uses could potentially provide a 1.8% increase in economic output, and a 6.2% increase in the supported population while maintaining groundwater and flood storage constraints. In addition, it was also shown that by including renewable energy land uses in the regional analysis, a 20% reduction in greenhouse gas emission and a 20% reduction in fossil fuel could be achieved, and still provide a 1.3% increase in economic output and a 2.5% increase in regional population. This result suggests that increased sustainability for the region is attainable, and highlights solar photovoltaics and bioethanol from water efficient sorghum as key technologies for the region to pursue to achieve these goals. This study makes several steps toward a better integration of regional sustainability modeling. The accounting of direct and indirect changes in resource consumption within regional land uses, the linearization of land uses in the optimization model, and the calculation of shadow prices for ecosystem services for the region are novel capabilities that can be used to give decision makers increased insight into how development decisions impact the regional system as a whole.

ISBN: 9781303821387Subjects--Topical Terms:

1029978
Sustainability.

Maximizing sustainable regional production: Balancing water, energy, and Carbon.
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020 $a 9781303821387
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100 1 $a Pfahler, David Aaron. $3 2101437
245 1 0 $a Maximizing sustainable regional production: Balancing water, energy, and Carbon.
300 $a 157 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-07(E), Section: A.
500 $a Adviser: Mark Brown.
502 $a Thesis (Ph.D.)--University of Florida, 2013.
520 $a Regional sustainability is a question of increasing importance for regional planners with water and energy use and the production of greenhouse gases (GHG) emerging as chief constraints on achieving sustainability in the long term. Modeling the sustainability of regions is difficult as one must predict the impacts of cascading interactions within complex social-ecological systems. In this dissertation a combination of Economic Input Output Life Cycle Assessment and linear optimization methods was explored as a way to model regional sustainability. The Peace River region of central Florida was used as a case study for the model. The goal function of the optimization was to maximize regional economic output measure in both monetary and emergy terms. The model optimized regional production under water, energy, and GHG emission constraints by changing the area devoted to individual land uses. Each of the constraints was tested separately and in combination. The results of the model showed that changing the mix of land uses could potentially provide a 1.8% increase in economic output, and a 6.2% increase in the supported population while maintaining groundwater and flood storage constraints. In addition, it was also shown that by including renewable energy land uses in the regional analysis, a 20% reduction in greenhouse gas emission and a 20% reduction in fossil fuel could be achieved, and still provide a 1.3% increase in economic output and a 2.5% increase in regional population. This result suggests that increased sustainability for the region is attainable, and highlights solar photovoltaics and bioethanol from water efficient sorghum as key technologies for the region to pursue to achieve these goals. This study makes several steps toward a better integration of regional sustainability modeling. The accounting of direct and indirect changes in resource consumption within regional land uses, the linearization of land uses in the optimization model, and the calculation of shadow prices for ecosystem services for the region are novel capabilities that can be used to give decision makers increased insight into how development decisions impact the regional system as a whole.
590 $a School code: 0070.
650 4 $a Sustainability. $3 1029978
650 4 $a Economics, Environmental. $3 1669564
650 4 $a Land Use Planning. $3 1673684
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710 2 $a University of Florida. $3 718949
773 0 $t Dissertation Abstracts International $g 75-07A(E).
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793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3586502