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SCS-CN Based Quantification of Potential of Rooftop Catchments and Computation of ASRC for Rainwater Harvesting

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  • P. Singh
  • B. Yaduvanshi
  • Swati Patel
  • Saswati Ray

Abstract

Rooftop rainwater harvesting, among other options, play a central role in addressing water security and reducing impacts on the environment. The storm or annual storm runoff coefficient (RC/ASRC) play a significant role in quantification of potential of rooftop catchments for rainwater harvesting, however, these are usually selected from generic lists available in literature. This study explores methodology/procedures based on one of the most popular and versatile hydrological model, Soil Conservation Service Curve Number (SCS-CN) (SCS 1986 ) and its variants, i.e., Hawkins SCS-CN (HSCS-CN) model (Hawkins et al. 2001 ), Michel SCS-CN (MSCS-CN) model (Michel et al. Water Resour Res 41:W02011, 2005 ), and Storm Water Management Model-Annual Storm Runoff Coefficient (SWMM-ASRC) (Heaney et al. 1976 ) and compares their performance with Central Ground Board (CGWB) (CGWB 2000 ) approach. It has been found that for the same amount of rainfall and same rooftop catchment area, the MSCS-CN model yields highest rooftop runoff followed by SWMM-ASRC > HSCS-CN > SCS-CN > CGWB. However, the SCS-CN model has close resemblance with CGWB approach followed by HSCS-CN model, SWMM-ASRC, and MSCS-CN model. ASRCs were developed using these models and it was found that MSCS-CN model has the highest value of ASRC (= 0.944) followed by SWMM-ASRC approach (=0.900), HSCS-CN model (=0.830), SCS-CN model (=0.801), and CGWB approach (=0.800). The versatility of these models lies to the fact that CN values (according to rooftop catchment characteristics) would yield rooftop runoff and therefore ASRC values based on sound hydrological perception and not just on the empiricism. The models have inherent capability to incorporate the major factors responsible for runoff production from rooftop/urban, i.e., surface characteristics, initial abstraction, and antecedent dry weather period (ADWP) for the catchments and would be better a tool for quantification rather than just using empirical runoff coefficients for the purpose. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • P. Singh & B. Yaduvanshi & Swati Patel & Saswati Ray, 2013. "SCS-CN Based Quantification of Potential of Rooftop Catchments and Computation of ASRC for Rainwater Harvesting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2001-2012, May.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:7:p:2001-2012
    DOI: 10.1007/s11269-013-0267-6
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    References listed on IDEAS

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    1. Jinyoung Kim & Hiroaki Furumai, 2012. "Assessment of Rainwater Availability by Building Type and Water Use Through GIS-based Scenario Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1499-1511, April.
    2. Chiu, Yie-Ru & Liaw, Chao-Hsien & Chen, Liang-Ching, 2009. "Optimizing rainwater harvesting systems as an innovative approach to saving energy in hilly communities," Renewable Energy, Elsevier, vol. 34(3), pages 492-498.
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    Cited by:

    1. Kuldeep Tiwari & Rohit Goyal & Archana Sarkar, 2018. "GIS-based Methodology for Identification of Suitable Locations for Rainwater Harvesting Structures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1811-1825, March.
    2. Dihang Xu & Zhiyun Ouyang & Tong Wu & Baolong Han, 2020. "Dynamic Trends of Urban Flooding Mitigation Services in Shenzhen, China," Sustainability, MDPI, vol. 12(11), pages 1-11, June.
    3. Chunlin Li & Miao Liu & Yuanman Hu & Tuo Shi & Min Zong & M. Todd Walter, 2018. "Assessing the Impact of Urbanization on Direct Runoff Using Improved Composite CN Method in a Large Urban Area," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    4. Jersain Gómez Núñez & Magdalena García Martínez & Rojacques Mompremier & Beatriz A. González Beltrán & Icela Dagmar Barceló Quintal, 2022. "Methodology to Optimize Rainwater Tank-sizing and Cluster Configuration for a Group of Buildings," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5191-5205, October.
    5. P. Singh & S. Mishra & R. Berndtsson & M. Jain & R. Pandey, 2015. "Development of a Modified SMA Based MSCS-CN Model for Runoff Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4111-4127, September.

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