2019 3rd International Conference on Energy and Environmental Science | |
Taiwan Brownfield Redevelopment & Ecological Restoration Indicator Analysis | |
能源学;生态环境科学 | |
Feng, S.J.^1^2 ; Chao, N.C.^2 ; Chen, Y.J.^2 | |
Department of Architecture, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung | |
41349, Taiwan^1 | |
Department and Graduate Institute of Architecture, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung | |
41349, Taiwan^2 | |
关键词: Brownfield redevelopment; Contaminated soils; Ecological restoration; Evaluation indicators; Industrial sites; Industrial structures; Structure frameworks; Urban environments; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/291/1/012017/pdf DOI : 10.1088/1755-1315/291/1/012017 |
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学科分类:环境科学(综合) | |
来源: IOP | |
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【 摘 要 】
Adjustments in global industrial structure accompanied with urbanization, lead in result of derelict sites and lands initiated as manufacturing and production industrial. In which underlies not only creation waste in resource and energy, contaminated soil, damaged ecosystem, urban landscape changed, but also inhibits urban persistent development. Under the extensive aegis of environmental protection, people are highly attentive on brownfield impacts from surrounded life sphere; In Taiwan spatial reutilizing planning approaches are the mainly impetus for brownfield redevelopment programs, having very little or no incorporation on ecological methodology rehabilitation into the program. In this paper, we will elaborate the possibilities of sustainable development for brownfield redevelopment utilizing ecological restoration methodology in 1. preserving the industrial asset, in the meantime restored the ecological urban environment, 2. Initiate a structure framework suitable for brownfield's (industrial sites) ecosystem redevelopment evaluation indicator to maximize the value of brownfield in spatial & urban planning.
【 预 览 】
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Taiwan Brownfield Redevelopment & Ecological Restoration Indicator Analysis | 354KB | ![]() |