2013
DOI: 10.1016/j.apenergy.2012.09.036
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Using geographic information systems to assess potential biofuel crop production on urban marginal lands

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Cited by 37 publications
(24 citation statements)
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“…To correctly determine the spatial variations of solar radiation into morphologically complex areas, such as the Province of Frosinone, it is necessary to integrate analytical models of solar radiation on a GIS basis with the information provided in high-resolution data sets, such as DEM (Digital Elevation Model). These models [23][24][25][26][27][28] are based on empirical physical equations, providing accurate estimates of solar radiation as well as the geographical location and the morphological characteristics of the area. In the proposed model, data are managed using the Solar Analyst model developed by ESRI ArcGIS 10 ® and modified according to [29].…”
Section: Methodsmentioning
confidence: 99%
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“…To correctly determine the spatial variations of solar radiation into morphologically complex areas, such as the Province of Frosinone, it is necessary to integrate analytical models of solar radiation on a GIS basis with the information provided in high-resolution data sets, such as DEM (Digital Elevation Model). These models [23][24][25][26][27][28] are based on empirical physical equations, providing accurate estimates of solar radiation as well as the geographical location and the morphological characteristics of the area. In the proposed model, data are managed using the Solar Analyst model developed by ESRI ArcGIS 10 ® and modified according to [29].…”
Section: Methodsmentioning
confidence: 99%
“…In [22], the implementation of a GIS allows to: (i) locate sport facilities in Rome and to analyze the demand and supply of sports; (ii) to access and update many aspects of urban life in Modena (i.e., building heritage, energy consumption, city companies, and maintenance of green areas); (iii) to evaluate energy consumptions and to test some bio-architecture and green building strategies on a medium-size urban area; (iv) to plan the exploitation of lands with poor agricultural potential (or unsuitable for residential purposes) for biofuel crops production [23].…”
Section: Introductionmentioning
confidence: 99%
“…Three other studies first mapped marginal land, and then mapped the potential suitability of that land for specific bioenergy species [26,33,37]. The eight studies that mapped for generic bioenergy species first mapped marginal lands, then employed land use constraints, or masks, where bioenergy crops should not be planted [27][28][29][30][31]34,36,45]. Finally, three studies first targeted marginal lands for generic bioenergy species based on multiple input criteria, but employed no land cover constraints [13,40,44].…”
Section: Model Selectionmentioning
confidence: 99%
“…For their city-level analysis in Pittsburgh, Niblick et al [45] used very localized datasets, such as commercial zoning at the parcel-level [45]. Their analysis also employed a greenways feature class, which included agricultural easements, forested floodplains, designated greenways, land trust properties, rivers buffered by 100 ft., conservation streams buffered by 50 ft., sensitive slopes, wetlands 1 acre or more buffered by 50 ft., golf courses, parks and trails.…”
Section: Issues Of Scalementioning
confidence: 99%
“…In some regions, this limitation may be exacerbated by predicted climate change as a consequence of elevated temperature, reduced rainfall, changing seasonal rainfall patterns, or reduced availability of irrigation water (Schlenker et al, 2007;Vano et al, 2010;O'Neill & Dobrowolski, 2011). Insufficient soil moisture may become particularly problematic for biofuel crops; to reduce competition with food crops, biofuel crops may have to be planted preferentially on sites that are not highly productive for food crops (Vuichard et al, 2009;Cai et al, 2011;Niblick et al, 2013), where some of the challenges include shallow and excessively draining soils. Improving the availability of water in these challenging soils will be of great importance to biofuel production.…”
Section: Introductionmentioning
confidence: 99%