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Water Supply and Water Quality: Putt...

Hasan, Mejs.

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Water Supply and Water Quality: Putting Together How Natural and Human Factors Affect These, Using Satellites.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Water Supply and Water Quality: Putting Together How Natural and Human Factors Affect These, Using Satellites./
Author:	Hasan, Mejs.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	145 p.
Notes:	Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
Contained By:	Dissertations Abstracts International79-12B.
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10790422
ISBN:	9780438064997

Water Supply and Water Quality: Putting Together How Natural and Human Factors Affect These, Using Satellites.
Hasan, Mejs.

Water Supply and Water Quality: Putting Together How Natural and Human Factors Affect These, Using Satellites. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 145 p.

Source: Dissertations Abstracts International, Volume: 79-12, Section: B.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018.

This item is not available from ProQuest Dissertations & Theses.

This dissertation explores the interplay of human and natural factors upon water resources in the Chesapeake Bay, the Tigris and Euphrates Rivers, and the marshes of southern Iraq. I used high-quality but expensive-to-collect fieldwork data of water status. I combined that data with regularly-produced satellite images covering large sections of the earth. Combining high-quality fieldwork data with global, continuous satellite data can produce datasets that are richer than the sum of their two parts. I first studied the effect of storms on water quality in the Chesapeake Bay by using a relationship between satellite-measured red light reflectance and ground measurements of total suspended solids (TSS). This resulted in viable reflectance-TSS relationships for five major Western Shore rivers. Modeling a single reflectance-TSS relationship for the entire estuary produced poorer models with less significance compared to treating each channel separately. After studying the aftermath of 2800 rain events, I found some evidence that higher rainfall corresponds to a lower distribution of TSS concentrations one day following the storm in forested, compared to urban, watersheds. In chapter 2, I studied how conflicts and drought disrupt water supply on dams and barrages along the Tigris and Euphrates rivers. I used a satellite-based algorithm, the normalized difference water index (NDWI), to monitor changes in the extent of surface reservoirs (1985-present). The most sudden changes in water supply occurred during conflict, but conflict was not often a cause of the greatest absolute changes to reservoir area. In chapter 3, I again used NDWI and similar algorithms to examine how the seasonal cycle of marshes at the southern end of the Tigris and Euphrates has been affected by drought, development, and conflict. I found some evidence that the yearly timing of the marsh peak size has become more variable after exposure to these stressors. No matter the stressor - from storms to drought to war - water quality and supply are highly affected by human and natural factors. In combination with ground information, satellite data can fill in data gaps and offer further insights.

ISBN: 9780438064997Subjects--Topical Terms:

524010
Geography.

Water Supply and Water Quality: Putting Together How Natural and Human Factors Affect These, Using Satellites.
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500 $a Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Benninger, Larry;Moody, Aaron.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a This dissertation explores the interplay of human and natural factors upon water resources in the Chesapeake Bay, the Tigris and Euphrates Rivers, and the marshes of southern Iraq. I used high-quality but expensive-to-collect fieldwork data of water status. I combined that data with regularly-produced satellite images covering large sections of the earth. Combining high-quality fieldwork data with global, continuous satellite data can produce datasets that are richer than the sum of their two parts. I first studied the effect of storms on water quality in the Chesapeake Bay by using a relationship between satellite-measured red light reflectance and ground measurements of total suspended solids (TSS). This resulted in viable reflectance-TSS relationships for five major Western Shore rivers. Modeling a single reflectance-TSS relationship for the entire estuary produced poorer models with less significance compared to treating each channel separately. After studying the aftermath of 2800 rain events, I found some evidence that higher rainfall corresponds to a lower distribution of TSS concentrations one day following the storm in forested, compared to urban, watersheds. In chapter 2, I studied how conflicts and drought disrupt water supply on dams and barrages along the Tigris and Euphrates rivers. I used a satellite-based algorithm, the normalized difference water index (NDWI), to monitor changes in the extent of surface reservoirs (1985-present). The most sudden changes in water supply occurred during conflict, but conflict was not often a cause of the greatest absolute changes to reservoir area. In chapter 3, I again used NDWI and similar algorithms to examine how the seasonal cycle of marshes at the southern end of the Tigris and Euphrates has been affected by drought, development, and conflict. I found some evidence that the yearly timing of the marsh peak size has become more variable after exposure to these stressors. No matter the stressor - from storms to drought to war - water quality and supply are highly affected by human and natural factors. In combination with ground information, satellite data can fill in data gaps and offer further insights.
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