期刊
LANDSCAPE AND URBAN PLANNING
卷 121, 期 -, 页码 109-116出版社
ELSEVIER
DOI: 10.1016/j.landurbplan.2013.09.005
关键词
Gas fracking pad landscapes; GIS landscape modeling; Landscape variables; Spatial logistic regression; Optimal landscape model
Natural gas fracking pad sites, as a type of industrial landscape, have been blooming up in Marcellus Shale region especially within the State of Pennsylvania in the last few years. However, no study has explored the driving landscape and environmental variables of fracking pad sites, and how gas fracking pads as a specific landscape spread out in the Marcellus Shale region. Using the Washington County, Pennsylvania, USA as the study area, this paper proposes a novel GIS landscape modeling approach to model the relationships between landscape variables and natural gas fracking pad sites. The impacts of significant landscape variables on natural gas fracking pad sites are assessed. Statistic diagnostics of spatial logistic regression modeling find significant landscape variables of elevation, slope, and land use land cover. Higher elevation will result in higher probability to be fracking pad sites, while deeper slopes will result in a lower probability to be fracking pad sites. Natural gas fracking pad sites do not randomly intrude the initial landscapes, while land use land cover experiences different invasive risks of natural gas fracking, and in the order of open water, developed land, barren land, forest land, shrub land, grassland, agriculture land, and wetland, the probability of being intruded by natural gas fracking sites increases at 3.76%. This landscape model finally is used to predict natural gas fracking pad sites. The predicted spatial distribution provides significant insight for landscape and natural resources regulation, land use administration, transportation and urban planning, and ecosystem and environment conservations. (C) 2013 Elsevier B.V. All rights reserved.
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