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A framework for integrated water res...

Sanchez, Georgina M.

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A framework for integrated water resources management, environmental justice, and stream health.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A framework for integrated water resources management, environmental justice, and stream health./
Author:	Sanchez, Georgina M.
Description:	202 p.
Notes:	Source: Masters Abstracts International, Volume: 52-06.
Contained By:	Masters Abstracts International52-06(E).
Subject:	Water resources management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1554201
ISBN:	9781303840876

A framework for integrated water resources management, environmental justice, and stream health.
Sanchez, Georgina M.

A framework for integrated water resources management, environmental justice, and stream health. - 202 p.

Source: Masters Abstracts International, Volume: 52-06.

Thesis (M.S.)--Michigan State University, 2014.

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

Human development can negatively impact the ecological integrity of natural resources. Likewise, public health has been affected due to ecosystem rebounds. Not all communities are equally impacted by environmental hazards, which is a subject addressed by environmental justice. Due to the complexity of coupled natural and human systems, we rely on modeling tools capable of characterizing dynamic processes occurring over space, time, and organizational units. This study aims to advance the understanding of these processes and explores the utility of integrating stream health indicators with socioeconomic measures of communities, focusing on the Saginaw River Watershed located in Michigan. The following research objectives were established to characterize the relationships between stream health and socioeconomic measures: 1) by utilizing spatial multi-factor models and bivariate mapping to identify vulnerable areas for resource allocation, 2) by utilizing spatial clustering techniques to improve predictability of Structural Equation Models (SEMs). Regarding the first objective, this study showed that in the Saginaw River Watershed, regions with the worst stream health and most vulnerable social populations were located around highly populated areas and intensive agricultural activities. For the second objective, the results showed that solutions for SEMs can be sought by adjusting cluster size while considering socioeconomic variable characteristics within a cluster.

ISBN: 9781303840876Subjects--Topical Terms:

794747
Water resources management.

A framework for integrated water resources management, environmental justice, and stream health.
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245 1 2 $a A framework for integrated water resources management, environmental justice, and stream health.
300 $a 202 p.
500 $a Source: Masters Abstracts International, Volume: 52-06.
500 $a Adviser: Amir P. Nejadhashemi.
502 $a Thesis (M.S.)--Michigan State University, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Human development can negatively impact the ecological integrity of natural resources. Likewise, public health has been affected due to ecosystem rebounds. Not all communities are equally impacted by environmental hazards, which is a subject addressed by environmental justice. Due to the complexity of coupled natural and human systems, we rely on modeling tools capable of characterizing dynamic processes occurring over space, time, and organizational units. This study aims to advance the understanding of these processes and explores the utility of integrating stream health indicators with socioeconomic measures of communities, focusing on the Saginaw River Watershed located in Michigan. The following research objectives were established to characterize the relationships between stream health and socioeconomic measures: 1) by utilizing spatial multi-factor models and bivariate mapping to identify vulnerable areas for resource allocation, 2) by utilizing spatial clustering techniques to improve predictability of Structural Equation Models (SEMs). Regarding the first objective, this study showed that in the Saginaw River Watershed, regions with the worst stream health and most vulnerable social populations were located around highly populated areas and intensive agricultural activities. For the second objective, the results showed that solutions for SEMs can be sought by adjusting cluster size while considering socioeconomic variable characteristics within a cluster.
590 $a School code: 0128.
650 4 $a Water resources management. $3 794747
650 4 $a Environmental justice. $3 528369
650 4 $a Sustainability. $3 1029978
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710 2 $a Michigan State University. $b Biosystems Engineering. $3 1676179
773 0 $t Masters Abstracts International $g 52-06(E).
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793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1554201