Chapter
Dec 4, 2017
International Low Impact Development Conference China 2016

Landscape-Scale Simulation Analysis of Waterlogging and Sponge City Planning for a Central Urban Area in Fuzhou City, China

Publication: International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects

ABSTRACT

The urban underlying surface is key component in waterlogging control and low-impact development initiatives, including sponge cities. Using remote sensing and geographic information system data, we analyzed the relationship between natural green infrastructure (NGI) landscapes and urban submerged areas in the central urban region of Fuzhou, China. For simulations of centennial-returning storm with 2 or 4 hours of rainfall, submerged depths were 3.943 and 4.055 m, respectively. Submerged areas were characterized by high population densities and high levels of human activity. Between 2006 and 2014, NGI landscapes disappeared and were converted to impervious surfaces. Spatial association rule mining revealed a strong association between areas that were converted from NGI landscape and areas that were submerged in our simulations. Finally, we make some suggestions for sponge city planning based on our analyses of the change in urban NGI landscape patterns using ecology indices.

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Go to International Low Impact Development Conference China 2016
International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects
Pages: 251 - 260
Editors: Haifeng Jia, Ph.D., Tsinghua University, Shaw L. Yu, Ph.D., University of Virginia, Robert Traver, Ph.D., Villanova University, Huapeng Qin, Ph.D., Peking University Shenzhen Graduate School, Junqi Li, Ph.D., Beijing University of Civil Engineering and Architecture, and Mike Clar, Ecosite, Inc.
ISBN (Online): 978-0-7844-8104-2

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Published online: Dec 4, 2017

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Shaoqing Dai [email protected]
Key Laboratory of Urban Environment and Health, Key Laboratory of Urban Metabolism of Xiamen, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 1799 Jimei Rd., 361021, Xiamen,China; Univ. of Chinese Academy of Sciences, Beijing. E-mail: [email protected]
Key Laboratory of Urban Environment and Health, Key Laboratory of Urban Metabolism of Xiamen, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 1799 Jimei Rd., 361021, Xiamen,China; Univ. of Chinese Academy of Sciences, Beijing; School of Geographical Sciences, Fuijian Normal Univ., Fuzhou. E-mail: [email protected]
Key Laboratory of Urban Environment and Health, Key Laboratory of Urban Metabolism of Xiamen, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 1799 Jimei Rd., 361021, Xiamen, China (co-corresponding author). E-mail: [email protected]
Yin Ren, Ph.D. [email protected]
Key Laboratory of Urban Environment and Health, Key Laboratory of Urban Metabolism of Xiamen, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 1799 Jimei Rd., 361021, Xiamen, China (co-corresponding author). E-mail: [email protected]
Huixian Jiang [email protected]
School of Geographical Sciences, Fuijian Normal Univ., Cangshan District Three Rd. No. 19, Fuzhou; Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters. E-mail: [email protected]

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