Abstract
The impact of urbanization on water quality might vary over space because watershed characteristics, pollution sources, and land use patterns are not the same in different places. However, the spatially varying impact is usually not considered using conventional statistical methods, such as ordinary least squares regression (OLS) and Spearman’s rank correlation analysis. This study applies a geospatial statistical technique, geographically weighted regression (GWR), to analyze the relationships between urbanization and water quality indicators across watersheds with varied urbanization levels in eastern Massachusetts, USA. The study finds that the relationships between water quality and urbanization indicators vary across the urbanization gradient in the studied watersheds. Percentage of developed land and population density are more strongly related to concentrations of water pollutants in less-urbanized areas than in highly-urbanized areas. The adverse impact of urbanization on water quality is more substantial in less-urbanized suburban areas than highly-urbanized central cities, which is associated with the dominant pattern of urbanization in the study area: urban sprawl. The study suggests that GWR is a useful geospatial technology for policy makers, regional and local agencies, and researchers to unveil the local pollution causes, to improve the understanding of local pollution status, and to adopt appropriate environmental and land use planning policies suitable to the local watershed conservation and management.
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References
Ahearn DS, Sheibley RW, Dahlgren RA, Anderson M, Johnson J, Tate KW (2005) Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada California. J Hydrol 313:234–247
Aichele SS (2005) Effects of urban land-use change on streamflow and water quality in Oakland County, Michigan, 1970–2003, as inferred from urban gradient and temporal analysis. US Geol Surv Sci Investig Rep 2005–5016
Alberti M, Booth D, Hill K, Coburn B, Avolio C, Coe S and Spirandelli D (2007) The impact of urban patterns on aquatic ecosystems: An empirical analysis in Puget lowland sub-basins. Landsc Urban Plan 80:345–361
Bowen JL, Valiela I (2001) The ecological effects of urbanization of coastal watersheds: historical increases in nitrogen loads and eutrophication of Waquoit Bay estuaries. Can J Fish Aquat Sci 58:1489–1500
Brett MT, Arhonditsis GB, Mueller SE (2005) Non-point-source impacts on stream nutrient concentrations along a forest to urban gradient. Environ Manag 35:330–342
Brunsdon C, Fotheringham S, Charlton M (1998) Geographically weighted regression-modeling spatial non-stationarity. Stat 47:431–443
Deacon JR, Soule SA, Smith TE (2005) Effects of urbanization on stream quality at selected sites in the seacoast region in New Hampshire, 2001–2003. US Geol Surv Sci Investig Rep 2005–5103
Enger ED, Smith BF (2010) Environmental science, 12th edn. McGraw-Hill, New York, NY
Ewing R, Schmid T, Killingsworth R, Zlot A, Raudenbush S (2003) Relationship between urban sprawl and physical activity, obesity, and morbidity. Am J Health Promot 18:47–57
Finkenbine JK, Atwater JW, Mavinic DS (2001) Stream health after urbanization. J Am Water Resour Assoc 36:1149–1160
Fotheringham AS, Charlton ME, Brunsdon C (2001) Spatial variations in school performance: a local analysis using geographically weighted regression. Geogr Environ Model 5:43–66
Fotheringham AS, Brunsdon C, Charlton M (2002) Geographically weighted regression: the analysis of spatially varying relationships. Wiley, Chichester
Hatt BE, Fletcher TD, Walsh CJ, Taylor SL (2004) The influence of urban density and drainage infrastructure on the concentrations and loads of pollutants in small streams. Environ Manag 34:112–124
Interlandi S, Crockett CS (2003) Recent water quality trends in the Schuylkill River, Pennsylvania, USA: a preliminary assessment of the relative influences of climate, river discharge and suburban development. Water Res 37:1737–1748
MassGIS (2005) Massachusetts land use datalayers and land use summary statistics http://www.mass.gov/mgis/landuse_stats.htm. Accessed 19 Sep 2005
McGrath DA, Evans JP, Smith CK, Haskell DG, Pelkey NW, Gottfried RR, Brockett CD (2004) Mapping land-use change and monitoring the impacts of hardwood-to-pine conversion on the Southern Cumberland Plateau in Tennessee. Earth Interact 8:1–24
Miller JS, Hoel LA (2002) The “smart growth” debate: best practices for urban transportation planning. Socioecon Plan Sci 36:1–24
Robinson L, Newell JP, Marzluff JM (2005) Twenty-five years of sprawl in the Seattle region: growth management responses and implications for conservation. Landsc Urban Plan 71:51–72
Schoonover JE, Lockaby BG, Pan S (2005) Changes in chemical and physical properties of stream water across an urban-rural gradient in western Georgia. Urban Ecosyst 8:107–124
Shi H, Laurent EJ, LeBouton J, Racevskis L, Hall KR, Donovan M, Doepker RV, Walters MB, Lupi F, Liu J (2006) Local spatial modeling of white-tailed deer distribution. Ecol Model 190: 171–189
Shore WB (2006) Land-use, transportation and sustainability. Technol Soc 28:27–43
Tong STY, Chen W (2002) Modeling the relationship between land use and surface water quality. J Environ Manag 66:377–393
Tu J, Xia ZG, Clarke KC, Frei A (2007) Impact of urban sprawl on water quality in eastern Massachusetts, USA. Environ Manag 40:183–200
Tu J, Xia ZG (2008) Examining spatially varying relationships between land use and water quality using geographically weighted regression I: model design and evaluation. Sci Total Environ 407:358–378
Wheeler AP, Angermeier PL, Rosenberger AE (2005) Impacts of new highways and subsequent landscape urbanization on stream habitat and biota. Rev Fish Sci 13:141–164
Williams M, Hopkinson C, Rastetter E, Vallino J, Claessens L (2005) Relationships of land use and stream solute concentrations in the Ipswich River basin, Northeastern Massachusetts. Water Air Soil Pollut 161:55–74
Wilson EH, Hurd JD, Civco DL, Prisloe MP, Arnold C (2003) Development of a geospatial model to quantify, describe and map urban growth. Remote Sens Environ 86:275–285
Xian G, Crane M, Su J (2007) An analysis of urban development and its environmental impact on the Tampa bay watershed. J Environ Manag 85:965–976
Yu D (2006) Spatially varying development mechanisms in the greater Beijing area: a geographically weighted regression investigation. Ann Reg Sci 40:173–190
Zhang T (2001) Community features and urban sprawl: the case of the Chicago metropolitan region. Land Use Policy 18:221–232
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Tu, J. (2010). Exploring the Spatially Varying Impact of Urbanization on Water Quality in Eastern Massachusetts Using Geographically Weighted Regression. In: Hoalst-Pullen, N., Patterson, M. (eds) Geospatial Technologies in Environmental Management. Geotechnologies and the Environment, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9525-1_9
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DOI: https://doi.org/10.1007/978-90-481-9525-1_9
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