Modeling black carbon removal by city trees: Implications for urban forest planning |
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| Affiliation: | 1. Department of Landscape Architecture, 5249 University of Oregon, Eugene, OR 97403–5249, United States;2. Department of Geography and the Environment, University of North Texas, 1155 Union Circle #305279, Denton, TX 76203, United States;3. Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, United States;1. University of Debrecen, Department of Civil Engineering, 2–4 Ótemető út, Debrecen 4028, Hungary;2. Centre for Economic and Regional Studies, Great Plain Research Department, 3 Rakóczi út, Kecskemét 6000, Hungary;3. Research Centre for Astronomy and Earth Sciences, Geographical Institute, 45 Budaörsi út, Budapest 1112, Hungary;4. University of Szeged, Department of Economic and Social Geography, 2 Egyetem utca, Szeged 6722, Hungary;1. Cartography & GIS Research Group, Department of Geography, Vrije Universiteit Brussel, 1050 Ixelles, Belgium;2. Cosmopolis Centre for Urban Research, Department of Geography, Vrije Universiteit Brussel, 1050 Ixelles, Belgium;3. Building, Architecture, & Town Planning (BATir) Department, Université Libre de Bruxelles, 1050 Ixelles, Belgium;1. Department of Landscape, Southwest Jiaotong University, Chengdu 610031, Sichuan, China;2. School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China;1. Escuela Profesional de Biología. Universidad Nacional de San Agustín de Arequipa., Av. Alcides Carrión s/n, 04001 Arequipa, Peru;2. Universidad Nacional de San Agustín de Arequipa. Av. Venezuela s/n 04001, Arequipa, Peru.;3. Departamento Académico de Biología. Universidad Nacional de San Agustín de Arequipa, Av. Alcides Carrión s/n, 04001 Arequipa, Peru |
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| Abstract: | Urban forests provide multiple ecosystem services, including particulate matter (PM) air pollution removal. While previous studies have assessed relationships between atmospheric PM concentrations and urban land use and land cover, few studies have modeled PM removal by trees in relation to urban form (e.g., topography, land use, land cover, and proximity to emission sources). Particulate matter is a mixture of particles, including black carbon (BC), a byproduct of incomplete fossil fuel and biomass combustion with strong warming potential and linked to adverse health outcomes. We coupled empirical BC deposition data, collected from urban trees in Denton, Texas, with 226 urban form variables to generate land use regression models of annual and seasonal BC removal. Annual and seasonal models revealed emission source proxies, terrain exposure towards emission sources, and topographic exposure as influential to BC removal by trees. Regression equations were applied at one-meter resolution to estimate the BC removal potential of tree planting across the city. The resultant maps, which show regions of probable high and low BC removal by trees, can be used by arborists, urban foresters, landscape architects, and urban planners to inform urban forest design, planning, and decision-making. |
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| Keywords: | Ecosystem services Green space planning Intraurban Land use regression Particulate matter |
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