All Issue

2018 Vol.51, Issue 6 Preview Page
Derivation of design and planning parameters for permeable pavement using Water Management Analysis Module

Water Management Analysis Module 모형을 이용한 투수성포장시설의 설계 및 계획 매개변수 도출

Jae Yeol Songa
,
Sunghoa Jungb
,
Young Hoon Song, b*
송 재열a
,
정 은성b
,
송 영훈b*
aDepartment of Civil Engineering, University of Alabama
bDepartment of Civil Engineering, Seoul National University of Science and Technology
a알라바라 대학교 토목공학과
b서울과학기술대학교 건설시스템공학과
*교신저자. *Corresponding Author. 
30 June 2018. pp. 491-501
PDF XML Citation
Abstract

This study presents a systematic framework to derive the best values of design and planning parameters for low impact development (LID) practices. LID was developed to rehabilitate the distorted hydrological cycle due to the rapid urbanization. This study uses Water Management Analysis Module (WMAM) to perform sensitivity analysis and multiple scenario analysis for LID design and planning parameters of Storm Water Management Model (SWMM). This procedure was applied to an urban watershed which have experienced rapid urbanization in recent years. As a result, the design and planning scenario derived by WMAM shows lower total flows and peak flow, and larger infiltration than arbitrary scenarios for LID design and planning parameters. In the future, economic analysis can be added for this application in the field.

Keywords
Hydrological cycle
Low impact development (LID)
Storm Water Management Model (SWMM)
Water Management Analysis Module (WMAM)

본 연구는 도시 유역의 물 순환을 개선시키기 위해 최근 활발하게 적용되고 있는 저영향개발(low impact development, LID) 시설의 설계 및 계획 매개변수를 선정하기 위한 방법을 제시하였다. 이때 Storm Water Management Model (SWMM) 모형의 LID 시설 모의 기능을 활용하여 다양 한 매개변수에 대해 민감도 분석 및 다양한 시나리오를 자동으로 수행하여 비교할 수 있도록 개발된 Water Management Analysis Module (WMAM)을 이용하였다. 본 연구는 최근 도시화가 진행되고 있는 서울의 한 유역에 적용하였다. 적용 결과 LID 중 하나인 투수성포장 시설이 없는 경우와 임의로 결정된 설계 및 계획 시나리오 보다 본 방법을 통해 도출된 시나리오가 총유출량 및 첨두유량 감소와 침투량 증가에 더 좋은 효과를 보였다. 향후 경제성을 고려한 방법을 개발한다면 실무에서도 활용될 수 있을 것으로 예상된다.

키워드
물순환
저영향개발
Storm Water Management Model (SWMM)
Water Management Analysis Module (WMAM)
References
1
Ahiablame, L., and Shakya, R. (2016). “Modeling flood reduction effects of low impact development at a watershed scale.” Journal of Environmental Management, Vol. 171, No. 15, pp. 81-91.
2
Ahiablame, L., Engel, B., and Chaubey, I. (2012). “Effectiveness of low impact development practices: literature review and suggestions for future research.” Water, Air, and Soil Pollution, Vol. 223, No. 7, pp. 4253-4273.
3
Baek, S.-S., Choi, D.-H., Jung, J.-W., Lee, H.-J., Lee, H., Yoon, K.-S., and Cho, K.H. (2015). “Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: experimental and modeling approach.” Water Research, Vol. 86, pp. 122-131.
4
Bloorchian, A. A., Ahiablame, L., Osouli, A., and Zhou, J. (2016). “Modeling BMP and vegetative cover performance for highway stormwater runoff reduction.” Procedia Engineering, Vol. 145, pp. 274-280.
5
Chung, E.-S., and Kim, Y. (2014). “Development of fuzzy multi- criteria approach to prioritize locations of treated wastewater use considering climate change scenarios.” Journal of Environ-mental Management, Vol. 146, pp. 505-516.
6
Collins, K. A., Hunt, W. F., and Hathaway, J. M. (2008). “Hydrologic comparison of four types of permeable pavement and Standard Asphalt in Eastern North Carolina.” Journal of Hydrologic Engineering, Vol. 13, pp. 1146-1157.
7
Damodaram, C., Giacomoni, M. H., Prakash Khedun, C., Holmes, H., Ryan, A., Saour, W., and Zechman, E.M. (2010). “Simulation of combined best management practices and low impact development for sustainable stormwater management.” Journal of the American Water Resources Association, Vol. 46, No. 5, pp. 907-918.
8
Fassman, E. A., and Blackbourn, S. (2010). “Urban runoff mitigation by a permeable pavement system over impermeable soils.” Journal of Hydrologic Engineering, Vol. 15, pp. 475-485.
9
Finney, K., and Gharabaghi, B. (2011). “Using the PCSWMM 2010 SRTC tool to design a compost biofilter for highway stormwater runoff treatment.” Journal of Water Management Modeling, R241-R209.
10
Gao, J., Wang, R., Huang, J., and Liu, M. (2015). “Application of BMP to urban runoff control using SUSTAIN model: Case study in an industrial area.” Ecological Modelling, Vol. 318, pp. 177-183.
11
Gardner, R. H., Huff, D. D., O’Neill, R. V., Mankin, J. B., Carney, J., and Jones, J. (1980) “Application of error analysis to marsh hydrology model.” Water Resources Research, Vol. 16, pp. 659-664.
12
Irvine, K., Sovann, C., Suthipong, S., Kok, S., and Chea, E. (2015). “Application of PCSWMM to assess wastewater treatment and urban flooding scenarios in Phnom Penh, Cambodia: A tool to support eco-city planning.” Journal of Water Management Modeling, C389.
13
Kaini, P., Artita, K., and Nicklow, J. W. (2012). “Optimizing structural best management practices using SWAT and genetic algorithm to improve water quality goals.” Water Resources Research, Vol. 26, pp. 1827-1845.
14
Kang, T., Koo, Y., and Lee, S. (2015). “Design of stormwater pipe considering vegetative swale with water conveyance.” Journal of Korean Society of Hazard Mitigation Vol. 15, pp. 335-343.
15
Ki, S.J., and Ray, C. (2014). “Using fuzzy logic analysis for siting decisions of infiltration trenches for highway runoff control.” Science of the Total Environment, Vol. 493, pp. 44-53.
16
Kim, Y., Chung, E., Jun, S., and Kim, S. U. (2013). “Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS.” Resources, Conservation and Recycling, Vol. 73, pp. 23-32.
17
Lee, J. G., Selvakumar, A., Alvi, K., Riverson, J., Zhen, J. X., Shoemaker, L., and Lai, F.-H. (2012). “A watershed-scale design optimization model for stormwater best management practices.” Environmental Modelling and Software, Vol. 37, pp. 6-18.
18
Martinez-Martinez, E., Nejadhashemi, A. P., Woznicki, S. A., Adhikari, U., and Giri, S., (2015). “Assessing the significance of wetland restoration scenarios on sediment mitigation plan.” Ecological Engineering, Vol. 77, pp. 103-113.
19
Mouritz, M., (1992). Sustainable urban water systems; policy & pofessional praxis. Perth, Australia: Murdoch University.
20
Noh, S., Chung, E., and Seo, Y. (2015). “Performance of a rain barrel sharing network under climate change.” Water, Vol. 7, pp. 3466-3485.
21
Park, I., Kim, H., Chae, S.-K., and Ha, S. (2010). “Probability mass first flush evaluation for combined sewer discharges.” Journal of Environmental Sciences, Vol. 22. No. 6, pp. 915-922.
22
Prince George’s County Department of Environmental Resources (1993). Design manual for use of bioretention in stormwater management, Prince George’s County, Maryland. Maryland, USA: Division of Environmental Management, Watershed Protection Branch.
23
Robinson, B. (2015). “Modeling sanitary sewer groundwater inflow rehabilitation effectiveness in SWMM5 using a two aquifer approach.” Journal of Water Management Modeling, C385.
24
Rossman, L.A. (2015). Storm water management model user’s Manual Version 5.1. United States Environmental Protection Agency, Water Supply and Water Resources Division, National Risk Management Research Laboratory, Cincinnati, Ohio.
25
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., and Tarantola, S. (2008) Global Sensitivity Analysis: The Primer. John Wiley & Sons: West Sussex, UK.
26
Song, J. Y., and Chung, E. S. (2017). “A multi-criteria decision analysis framework for prioritizing sites and types of low impact development practices.” Water, Vol. 9, No. 4, doi: 10.3390/w9040291.
27
Song, J., Chung, E. S., and Kim, S. H. (2018). “Decision support systems based on SWMM5.1 for urban water planning and management.” Water, Vol. 10, 146; doi:10.3390/w10020146.
28
Walmsley, A. (1995). “Greenways and the making of urban form.” Landscape and Urban Planning, Vol. 33, No. 1, pp. 81-127.
29
Wu, J., Yu, S. L., and Zou, R. (2006). “A water quality-based approach for watershed wide BMP strategies.” Journal of the American Water Resources Association, Vol. 42, pp. 1193-1204.
30
Yang, J., Son, M., Chung, E., and Kim, I. (2015). “Prioritizing feasible locations for permeable pavement using MODFLOW and multi-criteria decision making methods.” Water Resources Management, Vol. 29, pp. 4539-4555.
31
Youn, S., Chung, E., Kang, W. G., and Sung, J. H. (2012). “Probabilistic estimation of the storage capacity of a rainwater harvesting system considering climate change.” Resources, Conservation and Recycling, Vol. 65, pp. 136-144.
32
Zhang, S., and Guo, Y. (2014). “SWMM simulation of the storm water volume control performance of permeable pavement systems.” Journal of Hydrologic Engineering. DOI: 10.1061/ (ASCE)HE.1943-5584.0001092.
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 51
  • No :6
  • Pages :491-501
  • Received Date : 2018-01-22
  • Revised Date : 2018-03-06
  • Accepted Date : 2018-03-06
  • DOI :https://doi.org/10.3741/JKWRA.2018.51.6.491
Journal Informaiton Journal of Korea Water Resources Association Journal of Korea Water Resources Association
Online Submission
Archives
  • scopus
  • KCI-수자원
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close