Abstract
Addressing the relationship between limited resources and a growing population is a hot issue during the process of urbanization. Effective utilization of rainwater plays a positive role in a low-carbon strategy. The purpose of this study is to present an application of mathematical analytical tools for urban planners in predicting rainwater runoff before constructing. Based on available data and a practical investigation in the study area (Harbin Institute of Technology), this study classifies the area into four parts according to the different runoff coefficients and then evaluates the volume of runoff based on the data of average volume of rainfall and evaporation capacity using mathematical analytical tools. The results show the minimum volume of water reservoirs in a single area. This research will contribute to an understanding of the role played by water resources in low-carbon-precinct buildings in the scientific planning of runoff treatment systems.
References
Lee SY, Maniquiz MC, Kim LH (2012) Appropriate determination method of removal efficiency for nonpoint source best management practices. Desalin Water Treat 48(1–3):138–147
United Nations (2010) Water resources: long term annual average, environmental indicators water. http://unstats.un.org/unsd/ENVIRONMENT/waterresources.htm. Accessed 12 Oct 2010
Hasse JE, Lathrop RG (2003) Land resource impact indicators of urban sprawl. Appl Geogr 23(2–3):159–175
Walsh CJ, Roy AH, Feminella JW, Cottingham PD, Groffman PM, Morgan RP II (2005) The urban stream syndrome: current knowledge and the search for a cure. J North Am Benthological Soc 24(3):706–723
Walsh CJ, Fletcher TD, Ladson AR (2009) Retention capacity: a metric to link stream ecology and storm-water management. J Hydrol Eng 14:399
Wigmosta M, Burges S (1997) An adaptive modeling and monitoring approach to describe the hydrologic behavior of small catchments. J Hydrol 202(1–4):48–77
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Guo, R., Wu, T. (2017). Mathematical Model for System Planning on Campus: A Case Study in Harbin Institute of Technology in China. In: Sayigh, A. (eds) Mediterranean Green Buildings & Renewable Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-30746-6_44
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DOI: https://doi.org/10.1007/978-3-319-30746-6_44
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