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Leveraging Hydroclimatic Processes a...

Beal, Maxwell R. W.

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Leveraging Hydroclimatic Processes and Remote Sensing for Biological Response in Water Resource Management: Applications to Water Quality and Water-related Disease.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Leveraging Hydroclimatic Processes and Remote Sensing for Biological Response in Water Resource Management: Applications to Water Quality and Water-related Disease./
Author:	Beal, Maxwell R. W.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	186 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:	Dissertations Abstracts International85-11B.
Subject:	Water resources management. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31295493
ISBN:	9798382580524

Leveraging Hydroclimatic Processes and Remote Sensing for Biological Response in Water Resource Management: Applications to Water Quality and Water-related Disease.
Beal, Maxwell R. W.

Leveraging Hydroclimatic Processes and Remote Sensing for Biological Response in Water Resource Management: Applications to Water Quality and Water-related Disease. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 186 p.

Source: Dissertations Abstracts International, Volume: 85-11, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2024.

Hydrology and climate strongly influence the distribution and abundance of living organisms. Hydroclimate variability on annual and seasonal timescales, and the occurrence of hydroclimate extremes, structure many biological systems, particularly those closely related to water. The indirect impacts of hydroclimate variability on biological responses, while complicated, can have pronounced impacts on public health. Two such responses include water quality and water related disease. In many regions variability in water quality and water related disease presents a notable challenge to water managers and public health officials who must allocate limited resources to manage uncertain outcomes. To adequately address the consequences of uncertainty in water availability (quality and quantity) on ecosystem and public health, officials are increasing demanding novel methods to manage water, and downstream impacts, in vulnerable regions. This dissertation explores the application of hydroclimatic processes and satellite remote sensing for the development of comprehensive sub-seasonal to seasonal forecasts and satellite-based monitoring systems to improve management, resource allocation, and public health related to lake water quality and water related disease. Four chapters are presented: Chapter one explores the development and assessment of a sub-seasonal and seasonal cyanobacteria forecasting system conditioned on local, global, and within-lake predictors for Lake Mendota, a small eutrophic lake in Madison, Wisconsin. Chapter two identifies relevant hydroclimate predictors and develops season-ahead forecasts for peak season harmful algae metrics in 178 lakes across the Northeast and Midwest U.S., illustrating the potential for implementation of skillful seasonal water quality forecasts at scale. Chapter three investigates the potential for satellite-based monitoring of harmful algae indicators on Lake Mendota, and chapter four pivots to understand how hydroclimate variables influence water-related disease in the Amazon basin, and how season-ahead forecasts of disease can be used to inform public health interventions.

ISBN: 9798382580524Subjects--Topical Terms:

794747
Water resources management.
Subjects--Index Terms:

Algae

Leveraging Hydroclimatic Processes and Remote Sensing for Biological Response in Water Resource Management: Applications to Water Quality and Water-related Disease.
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245 1 0 $a Leveraging Hydroclimatic Processes and Remote Sensing for Biological Response in Water Resource Management: Applications to Water Quality and Water-related Disease.
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300 $a 186 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
500 $a Advisor: Block, Paul.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2024.
520 $a Hydrology and climate strongly influence the distribution and abundance of living organisms. Hydroclimate variability on annual and seasonal timescales, and the occurrence of hydroclimate extremes, structure many biological systems, particularly those closely related to water. The indirect impacts of hydroclimate variability on biological responses, while complicated, can have pronounced impacts on public health. Two such responses include water quality and water related disease. In many regions variability in water quality and water related disease presents a notable challenge to water managers and public health officials who must allocate limited resources to manage uncertain outcomes. To adequately address the consequences of uncertainty in water availability (quality and quantity) on ecosystem and public health, officials are increasing demanding novel methods to manage water, and downstream impacts, in vulnerable regions. This dissertation explores the application of hydroclimatic processes and satellite remote sensing for the development of comprehensive sub-seasonal to seasonal forecasts and satellite-based monitoring systems to improve management, resource allocation, and public health related to lake water quality and water related disease. Four chapters are presented: Chapter one explores the development and assessment of a sub-seasonal and seasonal cyanobacteria forecasting system conditioned on local, global, and within-lake predictors for Lake Mendota, a small eutrophic lake in Madison, Wisconsin. Chapter two identifies relevant hydroclimate predictors and develops season-ahead forecasts for peak season harmful algae metrics in 178 lakes across the Northeast and Midwest U.S., illustrating the potential for implementation of skillful seasonal water quality forecasts at scale. Chapter three investigates the potential for satellite-based monitoring of harmful algae indicators on Lake Mendota, and chapter four pivots to understand how hydroclimate variables influence water-related disease in the Amazon basin, and how season-ahead forecasts of disease can be used to inform public health interventions.
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650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Limnology. $3 545788
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653 $a Climate
653 $a Dengue
653 $a Forecasting systems
653 $a Hydrology
653 $a Remote sensing
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710 2 $a The University of Wisconsin - Madison. $b Civil & Environmental Engr. $3 2097812
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791 $a Ph.D.
792 $a 2024
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31295493