Deer Liu This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Jingyu Liu1

1School of Architectural and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, P.R. China


 

Received: July 3, 2018
Accepted: April 30, 2019
Publication Date: June 1, 2019

Download Citation: ||https://doi.org/10.6180/jase.201906_22(2).0013  

ABSTRACT


In the context of global urbanization, the waterlogging occurs more frequently. The cause of waterlogging is that the traditional planning of urban rainwater network was backward, which led the rainwater on the ground cannot be collected and drained timely. This study aims to build an intelligent rainwater pipe network planning system based on the SWMM and GIS components. Firstly, the SWMM model was packaged into a .NET managed dynamic library through a software interoperability model to implement the seamless integration with GIS software components. Secondly, on basis of the vertical design elevation and the planning road network data of the city, a grid DEM that in view of road network was built. And the hydrological parameters were automatically extracted by using GIS spatial analysis based on the planned land type and the torrential rain model of the study area. Finally, with the geometric network analysis function of GIS and the rain-flood simulation function of SWMM, the intelligent layout and optimization of rainwater drainage network were realized. And based on the weight model, the urban rainwater pipe network was optimized. The experimental results demonstrated that our method is more efficient than the traditional method. Specifically: (1) the prediction accuracy of rainwater pipe network is improved; (2) the nodes that may overflow are adjusted to the best state, which reduces the risk of urban waterlogging. These findings indicate the optimized pipelines are more scientific and economical in the layout scheme, the selection of outlets and the calculation of pipe force.


Keywords: Rainwater Drainage Network, GIS, SWMM, Hydrological Parameters, Intelligent Planning


REFERENCES


  1. [1] Palla A., and I. Gnecco (2015) Hydrologic modeling of low impact development systemsat the urban catchment scale, Journal of Hydrology 528, 361368. doi: 10.1016/j.jhydrol.2015.06.050
  2. [2] Moglen, G. E. (2009) Hydrology and impervious areas, Journal of Hydrologic Engineering 14(4), 303– 304. doi:10.1061/(ASCE)1084-0699(2009)14:4(303)
  3. [3] Zhang, W., S. M. Li, and G. Y. Sun (2013) Effect mechanism of urban rainstorm waterlogging formation in China, Urban Development Studies 20(1), 120122. (in Chinese) doi: 10.3969/j.issn.1006-3862.2013.01. 020
  4. [4] Meierdiercks, K. L., J. A. Smith, and M. L. Baeck (2010) Analyses of urban drainage network structure and its impact on hydrologic response, JAWRA Journal of the American Water Resources Association 46(5), 12. doi: 10.1111/j.1752-1688.2010.00465.x
  5. [5] Mejía, A. I., and G. E. Moglen (2009) Spatial patterns of urban development from optimization of flood peaks and imperviousness-based measures, Journal of Hydrologic Engineering 14(4), 416–424. doi: 10.1061/ (ASCE)1084-0699(2009)14:4(416)
  6. [6] Ogden, F. L., N. Raj Pradhan, C. W. Downer, et al. (2011) Relative importance of impervious area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment, Water Resources Research 47(12), 112. doi: 10. 1029/2011WR010550
  7. [7] Davis J. R., J. F. N. Farley, W. J. Young, et al. (1998) The experiences of using a decision support systemfor nutrient management in Australia, Water SceiTechnol 37(3), 209216. doi: 10.1016/S0273-1223(98)00072-9
  8. [8] Ventura S. J., and K. Kim (1993) Modeling urban nonpoint source pollution with a geographic information system, Water Resources Bulletin 29(2), 1891981. doi: 10.1111/j.1752-1688.1993.tb03200.x
  9. [9] Bicknell, B. R., J. C. Imhoff, J. L. Kittle, et al. (1993) Hydrologic Simulation Program: Fortran User’s Manual for Release 10, Georgia: US Environmental Protection Agency.
  10. [10] An official website of the United States government. Available online: http://www.epa.gov/nrmrl/wswrd/wq/ models/swmm (accessed on 26 February 2016).
  11. [11] Yin, S., X. Li, W. Lou, and Y. Jing (2014) Optimal design of city sewage pipe network layout using the gradient screening enumeration method, Journal of Shenyang Jianzhu University (Natural Science) 30(4), 705 711. doi: 10.11717/j.issn:2095-1922.2014.04.17
  12. [12] Aad, M. P. A., M. T. Suidan, and W. D. Shuster (2010) Modeling techniques of best management practices: rain barrels and rain gardens using EPASWMM, Journal of Hydrologic Engineering 115(6), 434443. doi: 10.1061/(ASCE)HE.19435584.0000136
  13. [13] Lee, S. B., C. G. Yoon, K. W. Jung, and H. S. Hwang (2010) Comparative evaluation of runoff and water quality using hspf and swmm, Water Science & Technology 62(6), 1401. doi: 10.2166/wst.2010.302
  14. [14] Cong, X. Y., G. H. Ni, S. B. Hui, et al. (2006) Simulative analysis on storm flood in typical urban region of Beijing based on SWMM, Water Resources and Hydropower Engineering 37(4), 6467. (in Chinese) doi: 10.3969/j.issn.1000-0860.2006.04.021
  15. [15] Dong, X., J. I. Chen, and D. Q. Zhao (2006) The use of SWMM for the plan of the rainwater pipe network in the city, Water & Wastewater Engineering 32(5), 106 109. (in Chinese) doi: 10.3969/j.issn.1002-8471.2006. 05.033
  16. [16] Chen, L. Q. (2010) A study of the suitability of SWMM to plan and design the rainwater pipe network in the town, Water & Wastewater Engineering 36(5), 114117. (in Chinese) doi: 10.3969/j.issn.1002-8471. 2010.05.040
  17. [17] Wang, Y., X. Y. Hhao, X. X. Ji, et al. (2012) Application of SWMM to drainage system plan in mountain city, China Water & Wastewater 28(18), 8083. (in Chinese) doi: 10.3969/j.issn.1000-4602.2012.18.021
  18. [18] Wang, L., and Y. W. Zhou (2009) Study on POS multi-objective calibration of SWMM, China Water & Wastewater 25(5), 7074. (in Chinese) doi: 10.3321/ j.issn:1000-4602.2009.05.019
  19. [19] Lin, S. S., Y. P. Liao, and S. H. Hsieh (2010) A pattern-oriented approach to development of a real-time storm sewer simulation system with a SWMM model, Journal of Hydrologic Information 12(4), 408423.
  20. [20] Yao, L., L. D. Chen, and W. Wei (2017) Exploring the linkage between urban flood risk and spatial patterns in small urbanized catchments of Beijing, China, International Journal of Environmental Research and Public Health 14(3), 239. doi: 10.3390/ijerph14030239
  21. [21] Huang, G. R., J. Huang, H. J. Yu, et al. (2011) Secondary development of storm water management model SWMM based GIS, Water Resources and Power 29(4), 4345. doi: 10.3969/j.issn.1000-7709.2011.04.014
  22. [22] Cao, X. S., J. Liu, T. Liu, et al. (2010) Optimal design of stormwater drainage system based on enumeration algorithm, China Water & Wastewater 26(7), 3739. (in Chinese)
  23. [23] Geng, S. Y. (2012) The application of max-flow in the city sewer system, Bulletin of Science and Technology 28(4), 2021+24. (in Chinese) doi: 10.3969/j.issn. 1001-7119.2012.04.007
  24. [24] Jiang, Y. F., S. L. Zhang, Q. L. Zeng, et al. (2005) Research on GIS spatial data model of urban drainage pipe network, Progress in Natural Science 15(4), 465 471. (in Chinese) doi: 10.3321/j.issn:1002-008X. 2005.04.013


Latest Articles