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The Adaptability of a City’S Natural Foundation of Fuzzy Comprehensive Evaluation

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Book cover Geo-Informatics in Resource Management and Sustainable Ecosystem

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 398))

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Abstract

Through a full understanding of the current urban construction land quality, adopt fuzzy comprehensive evaluation method, Quantitative analysis of engineering geological conditions of urban construction land suitability, the paper divided existing land into a suitable area, Suitability better area,General District suitability and appropriateness of poor area four categories. Through this research, can provide Prediction and evaluation of the results for future urban planning and construction management,So as to determine the construction excellent areas, land use optimal solutions and provide the basis for development planning.

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References

  1. Li, X., Guo, J.: Urban engineering geological environment quality evaluation theory and method of. Ningxia Engineering Technology 12 (2002)

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  2. Li, Z., Chen, B., Chen, X.: The Xi’an Engineering Geology Environmental Quality Assessment. Gansu Technology (01), 112–113 (2004)

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  3. Wang, J.: Olympic Park Engineering Geology Environmental Quality Analysis and Evaluation. China University of Geosciences (Beijing) Journal 12 (2006)

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  4. Sheng, L.: Qingdao Economic and Technological Development Zone, engineering geology Environmental Assessment. China Ocean University (02) (2004)

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, Zq., Feng, Cy., Li, Xm., Li, D. (2013). The Adaptability of a City’S Natural Foundation of Fuzzy Comprehensive Evaluation. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-45025-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45024-2

  • Online ISBN: 978-3-642-45025-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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