How a Pareto frontier complements scenario projections in land use change impact assessment

被引:21
作者
Verstegen, Judith A. [1 ,2 ]
Jonker, Jan Gerrit Geurt [2 ]
Karssenberg, Derek [3 ]
van der Hilst, Floor [2 ]
Schmitz, Oliver [3 ]
de Jong, Steven M. [3 ]
Faaij, Andre P. C. [4 ]
机构
[1] Univ Munster, Inst Geoinformat, Munster, Germany
[2] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands
[3] Univ Utrecht, Dept Phys Geog, Utrecht, Netherlands
[4] Univ Groningen, Energy & Sustainabil Res Inst Groningen, Groningen, Netherlands
关键词
Pareto frontier; Ethanol; Optimization; Brazil; Genetic algorithm; GHG emissions; SAO-PAULO STATE; ETHANOL-PRODUCTION; GHG EMISSIONS; SPATIAL OPTIMIZATION; SUGARCANE ETHANOL; BRAZIL; BIOMASS; MANAGEMENT; EUCALYPTUS; EXPANSION;
D O I
10.1016/j.envsoft.2017.08.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
To evaluate the sustainability of potential agricultural land developments, scenario projections with land use change models are often combined with environmental impact assessments. Although this allows inter-scenario comparison of impacts, it does not permit interpretation of scenarios in the light of theoretically optimal impacts. A Pareto frontier provides this information. We demonstrate this for ethanol production in Goias, Brazil, in 2030. For a Business-as-Usual scenario projection, the spatial configuration, production costs, and GHG emissions of the production chain are compared with those obtained from spatial optimization and summarized by the Pareto frontier. Projected production costs are 729 $/m(3) ethanol, with GHG emissions of 40 kg CO2-eq/m(3) ethanol. The Pareto frontier indicates an improvement potential of similar to 50 $/m(3) ethanol when keeping emissions fixed, or similar to 250 kg CO2-eq/m(3) ethanol when keeping costs fixed. Robust locations having low costs and emissions show where and how improvements are reached, offering instruments for policy (re) design. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:287 / 302
页数:16
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