The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia

Understanding perceptions of water quality held by residents is critical to address gaps in public awareness and knowledge and may provide insight into what defines communities that are more/less resilient to changing water conditions locally. We sought to identify spatial patterns of water quality...

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Main Authors: Ross G. Andrew, Robert C. Burns, Mary E. Allen
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/11/11/2225
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spelling doaj-b4b63235dcdb4abd8216ce9ce9788b2a2020-11-25T00:56:31ZengMDPI AGWater2073-44412019-10-011111222510.3390/w11112225w11112225The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in AppalachiaRoss G. Andrew0Robert C. Burns1Mary E. Allen2School of Natural Resources, West Virginia University, Morgantown, WV 26506, USASchool of Natural Resources, West Virginia University, Morgantown, WV 26506, USASchool of Natural Resources, West Virginia University, Morgantown, WV 26506, USAUnderstanding perceptions of water quality held by residents is critical to address gaps in public awareness and knowledge and may provide insight into what defines communities that are more/less resilient to changing water conditions locally. We sought to identify spatial patterns of water quality perceptions gathered in a survey of Southern West Virginia (WV) residents during spring/summer 2018. Using over 500 survey responses across 15 counties, we calculated spatial autocorrelation metrics and modeled the relationships between overall water quality perceptions and county-level socioeconomic endpoints, such as poverty rate, per capita income, and education level. We identified significant differences across counties labeled as socioeconomically “transitional”, “at-risk”, and “distressed”, as it pertained to responses for water quality perceptions, education level, and income level. We also found significant positive relationships between overall water quality perceptions, elevation, and income level. We calculated an empirical semivariogram and fit an exponential model to explain a significant autocorrelation pattern within a range of 104.2 km. Using that semivariance function, we created a kriging interpolation surface across the study area to identify significant clusters of water quality perceptions. This work highlights the influence of location on water quality perceptions within Southern West Virginia, but the analytical framework should be considered in further research, when samples are spread across large areas with varying socioeconomics.https://www.mdpi.com/2073-4441/11/11/2225water qualityenvironmental perceptionshuman dimensionsspatial modelssocioeconomics
collection DOAJ
language English
format Article
sources DOAJ
author Ross G. Andrew
Robert C. Burns
Mary E. Allen
spellingShingle Ross G. Andrew
Robert C. Burns
Mary E. Allen
The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
Water
water quality
environmental perceptions
human dimensions
spatial models
socioeconomics
author_facet Ross G. Andrew
Robert C. Burns
Mary E. Allen
author_sort Ross G. Andrew
title The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
title_short The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
title_full The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
title_fullStr The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
title_full_unstemmed The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
title_sort influence of location on water quality perceptions across a geographic and socioeconomic gradient in appalachia
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2019-10-01
description Understanding perceptions of water quality held by residents is critical to address gaps in public awareness and knowledge and may provide insight into what defines communities that are more/less resilient to changing water conditions locally. We sought to identify spatial patterns of water quality perceptions gathered in a survey of Southern West Virginia (WV) residents during spring/summer 2018. Using over 500 survey responses across 15 counties, we calculated spatial autocorrelation metrics and modeled the relationships between overall water quality perceptions and county-level socioeconomic endpoints, such as poverty rate, per capita income, and education level. We identified significant differences across counties labeled as socioeconomically “transitional”, “at-risk”, and “distressed”, as it pertained to responses for water quality perceptions, education level, and income level. We also found significant positive relationships between overall water quality perceptions, elevation, and income level. We calculated an empirical semivariogram and fit an exponential model to explain a significant autocorrelation pattern within a range of 104.2 km. Using that semivariance function, we created a kriging interpolation surface across the study area to identify significant clusters of water quality perceptions. This work highlights the influence of location on water quality perceptions within Southern West Virginia, but the analytical framework should be considered in further research, when samples are spread across large areas with varying socioeconomics.
topic water quality
environmental perceptions
human dimensions
spatial models
socioeconomics
url https://www.mdpi.com/2073-4441/11/11/2225
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