Development of the Metropolitan Water Availability Index (MWAI) and short-term assessment with multi-scale remote sensing technologies

Chang, Ni‐Bin; Yang, Yichen; Goodrich, James A.; Daranpob, Ammarin

doi:10.1016/j.jenvman.2010.02.024

Cited by 10 publications

(11 citation statements)

References 99 publications

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“…Although the water quantity and quality information can be theoretically related to the index value through various algebraic expressions in decision analysis, a linear weighted average of quantitative and qualitative impacts is the simplest form for the easy implementation in a metropolitan region [48] : Although the water quantity and quality information can be theoretically related to the index value through various algebraic expressions in decision analysis, a linear weighted average of quantitative and qualitative impacts is the simplest form for the easy implementation in a metropolitan region [48] :…”

Section: Theoretical Frameworkmentioning

confidence: 99%

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Middle-term metropolitan water availability index assessment based on synergistic potentials of multi-sensor data

Chang

Yang

Daranpob

2010

J. Appl. Remote Sens

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The impact of recent drought and water pollution episodes results in an acute need to project future water availability to assist water managers in water utility infrastructure management within many metropolitan regions. Separate drought and water quality indices previously developed might not be sufficient for the purpose of such an assessment. This paper describes the development of the "Metropolitan Water Availability Index (MWAI)" and its potential applications in assessing the middle-term water availability at the watershed scale in a fast growing metropolitan region -the Manatee County near Tampa Bay, Florida, U.S.A. The MWAI framework is based on a statistical approach that seeks to reflect the continuous spatial and temporal variations of both water quantity and quality using a simple numerical index. Such a trend analysis will surely result in the final MWAI values for regional water management systems within a specified range. By using remote sensing technologies and data processing techniques, continuous monitoring of spatial and temporal distributions of key water availability variables, such as evapotranspiration (ET) and precipitation, is made achievable. These remote sensing technologies can be ground-based (e.g., radar estimates of rainfall), or based on remote sensing data gathered by aircraft or satellites. Using a middle term historical record, the MWAI was applied to the Manatee County water supplies. The findings clearly indicate that only eight out of twelve months in 2008 had positive MWAI values during the year. Such numerical findings are consistent with the observational evidence of statewide drought events in 2006-2008, which implies the time delay between the ending of severe drought period and the recovery of water availability in MWAI. It is expected that this forward-looking novel water availability forecasting platform will help provide a linkage in methodology between strategic planning, master planning, and the plant operation and adaptations in response to the MWAI implications.

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Section: Theoretical Frameworkmentioning

confidence: 99%

“…They can be defined in greater detail as follows [48] : ( 32 31 13 2 12 11 3 13 2 12 1 However, widely applied water resources management objectives and associated engineering practices could lend a common basis to parameterize the quantity and quality variables.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Middle-term metropolitan water availability index assessment based on synergistic potentials of multi-sensor data

Chang

Yang

Daranpob

2010

J. Appl. Remote Sens

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“…Therefore, when taking the historical time periods into account for the present MWAI prediction, normalized Q 1 and Q 2 that are spatially averaged time series data designed to avoid any comparative bias between Q 1 and Q 2 in totality, can be derived based on equations (4) and (5) below [32]:…”

Section: Theoretical Framework Mwaimentioning

confidence: 99%

“…The digital numbers (DN) of both datasets were used as inputs. Forty-nine (49) points of in situ soil moisture data were collected from a densely monitored Tampa Bay watershed study area, and were used to calibrate the GP model for soil moisture estimation [32]. MODIS AQUA monthly NDVIs and MODIS LST were used as independent input parameters to calibrate soil moisture models.…”

Section: Modis Monthly Normalized Difference Vegetation Index (Ndvi) mentioning

confidence: 99%

Fusion of multisource and multiscale remote sensing data for water availability assessment in a metropolitan region

Chang

Yang²,

Daranpob

2009

SPIE Proceedings

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Recent extreme hydroclimatic events in the United States alone include, but are not limited to, the droughts in Maryland and the Chesapeake that affected the water resources distribution in three states -Alabama, Florida and Georgia. This paper provides evidence from previous work and elaborates on the future perspectives that will collectively employ remote sensing and in-situ observations to support the implementation of the water availability assessment in a metropolitan region. Within the hydrological cycle, precipitation, soil moisture, and evapotranspiration can be monitored by using WSR-88D/NEXRAD data, RADARSAT-1 images, and GEOS images collectively to address the spatiotemporal variations of quantitative availability of waters whereas the MODIS images may be used to track down the qualitative availability of waters in terms of turbidity, Chlorophyll-a and other constitutes of concern. Tampa Bay in Florida was selected as a study site in this analysis, where the water supply infrastructure covers groundwater, desalination plant, and surface water at the same time. Research findings show that through the proper fusion of multi-source and multi-scale remote sensing data for water availability assessment in metropolitan region, a new insight of water infrastructure assessment can be gained to support sustainable planning region wide.

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“…In Chang et al (2010) this advancement of a model is developed. Global climate change affects multiple processes and natural resources in the world.…”

Section: Literature Reviewmentioning

confidence: 99%

Greening Louisville's East Market District : a comparative assessment of sustainability.

Dale¹

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The East Market District located in Louisville, KY is currently undergoing a multimillion dollar urban regeneration. This transformation is being marketed as a primer sustainable neighborhood with the goal of serving as a model for other cities in the UnitedStates. As result of these changes, it is imperative to analyze the concept of sustainability from a variety of stakeholder perspectives utilizing content analysis on interviews and LEED Neighborhood Scorecard. Utilizing these methods, the central goal of this study is to understand the various interpretation of sustainability within this neighborhood. The findings observed via the critical assessment of the LEED Neighborhood Scorecard, showed that the criterion for which neighborhood sustainable development is judged is socially focused. This paralleled with the occupant's vision of a socially-based sustainable environment, which is in conflict with that of the constructors. These disparate findings reveal issues underlying sustainable development.

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Development of the Metropolitan Water Availability Index (MWAI) and short-term assessment with multi-scale remote sensing technologies

Cited by 10 publications

References 99 publications

Middle-term metropolitan water availability index assessment based on synergistic potentials of multi-sensor data

Middle-term metropolitan water availability index assessment based on synergistic potentials of multi-sensor data

Fusion of multisource and multiscale remote sensing data for water availability assessment in a metropolitan region

Greening Louisville's East Market District : a comparative assessment of sustainability.

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