IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v31y2017i5d10.1007_s11269-017-1610-0.html
   My bibliography  Save this article

A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction

Author

Listed:
  • Wenhai Shi

    (Institute of Soil and Water Conservation, CAS&MWR
    University of Chinese Academy of Sciences)

  • Mingbin Huang

    (Institute of Soil and Water Conservation, CAS&MWR
    Northwest A&F University)

  • Kate Gongadze

    (Rothamsted Research)

  • Lianhai Wu

    (Rothamsted Research)

Abstract

In one of the widely used methods to estimate surface runoff - Soil Conservation Service Curve Number (SCS-CN), the antecedent moisture condition (AMC) is categorized into three AMC levels causing irrational abrupt jumps in estimated runoff. A few improved SCS-CN methods have been developed to overcome several in-built inconsistencies in the soil moisture accounting (SMA) procedure that lies behind the SCS-CN method. However, these methods still inherit the structural inconsistency in the SMA procedure. In this study, a modified SCS-CN method was proposed based on the revised SMA procedure incorporating storm duration and a physical formulation for estimating antecedent soil moisture (V 0 ). The proposed formulation for V 0 estimation has shown a high degree of applicability in simulating the temporal pattern of soil moisture in the experimental plot. The modified method was calibrated and validated using a dataset of 189 storm-runoff events from two experimental watersheds in the Chinese Loess Plateau. The results indicated that the proposed method, which boosted the model efficiencies to 88% in both calibration and validation cases, performed better than the original SCS-CN and the Singh et al. (2015) method, a modified SCS-CN method based on SMA. The proposed method was then applied to a third watershed using the tabulated CN value and the parameters of the minimum infiltration rate (f c ) and coefficient (β) derived for the first two watersheds. The root mean square error between the measured and predicted runoff values was improved from 6 mm to 1 mm. Moreover, the parameter sensitivity analysis indicated that the potential maximum retention (S) parameter is the most sensitive, followed by f c . It can be concluded that the modified SCS-CN method, may predict surface runoff more accurately in the Chinese Loess Plateau.

Suggested Citation

  • Wenhai Shi & Mingbin Huang & Kate Gongadze & Lianhai Wu, 2017. "A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1713-1727, March.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:5:d:10.1007_s11269-017-1610-0
    DOI: 10.1007/s11269-017-1610-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-017-1610-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-017-1610-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pingjin Jiao & Di Xu & Shaoli Wang & Yingduo Yu & Songjun Han, 2015. "Improved SCS-CN Method Based on Storage and Depletion of Antecedent Daily Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4753-4765, October.
    2. S. Mishra & M. Jain & P. Suresh Babu & K. Venugopal & S. Kaliappan, 2008. "Comparison of AMC-dependent CN-conversion Formulae," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1409-1420, October.
    3. S. Mishra & R. Sahu & T. Eldho & M. Jain, 2006. "An Improved I a S Relation Incorporating Antecedent Moisture in SCS-CN Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 643-660, October.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sushindra Kumar Gupta & Jaivir Tyagi & Gunwant Sharma & A. S. Jethoo & P. K. Singh, 2019. "An Event-Based Sediment Yield and Runoff Modeling Using Soil Moisture Balance/Budgeting (SMB) Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3721-3741, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.
    2. Pingjin Jiao & Di Xu & Shaoli Wang & Yingduo Yu & Songjun Han, 2015. "Improved SCS-CN Method Based on Storage and Depletion of Antecedent Daily Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4753-4765, October.
    3. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.
    4. Ravindra Kumar Verma & Sangeeta Verma & Surendra Kumar Mishra & Ashish Pandey, 2021. "SCS-CN-Based Improved Models for Direct Surface Runoff Estimation from Large Rainfall Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2149-2175, May.
    5. Sumar Farooq & Khalid Mahmood & Fiza Faizi, 2022. "Comparative Simulation of GIS-Based Rainwater Management Solutions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3049-3065, July.
    6. Muhammad Waseem & Muhammad Ajmal & Joo Heon Lee & Tae-Woong Kim, 2016. "Multivariate Drought Assessment Considering the Antecedent Drought Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4221-4231, September.
    7. Dariusz Młyński & Andrzej Wałęga, 2020. "Identification of the Relationship between Rainfall and the CN Parameter in Western Carpathian Mountain Catchments in Poland," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    8. Vijay P. Santikari & Lawrence C. Murdoch, 2019. "Accounting for Spatiotemporal Variations of Curve Number Using Variable Initial Abstraction and Antecedent Moisture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 641-656, January.
    9. Khurshid Jahan & Soni M. Pradhanang & Md Abul Ehsan Bhuiyan, 2021. "Surface Runoff Responses to Suburban Growth: An Integration of Remote Sensing, GIS, and Curve Number," Land, MDPI, vol. 10(5), pages 1-18, April.
    10. Sahu, R.K. & Mishra, S.K. & Eldho, T.I., 2010. "Comparative evaluation of SCS-CN-inspired models in applications to classified datasets," Agricultural Water Management, Elsevier, vol. 97(5), pages 749-756, May.
    11. Sushindra Kumar Gupta & Jaivir Tyagi & Gunwant Sharma & A. S. Jethoo & P. K. Singh, 2019. "An Event-Based Sediment Yield and Runoff Modeling Using Soil Moisture Balance/Budgeting (SMB) Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3721-3741, September.
    12. S. Mishra & R. Pandey & M. Jain & Vijay Singh, 2008. "A Rain Duration and Modified AMC-dependent SCS-CN Procedure for Long Duration Rainfall-runoff Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(7), pages 861-876, July.
    13. Ana M. Petrović & Ivan Novković & Stanimir Kostadinov, 2021. "Hydrological analysis of the September 2014 torrential floods of the Danube tributaries in the Eastern Serbia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 1373-1387, August.
    14. Selome Tessema & Steve Lyon & Shimelis Setegn & Ulla Mörtberg, 2014. "Effects of Different Retention Parameter Estimation Methods on the Prediction of Surface Runoff Using the SCS Curve Number Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3241-3254, August.
    15. Mohamed Elhakeem & Athanasios Papanicolaou, 2009. "Estimation of the Runoff Curve Number via Direct Rainfall Simulator Measurements in the State of Iowa, USA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2455-2473, September.
    16. Akinchan Singhai & Sandipan Das & Ajaykumar K. Kadam & J. P. Shukla & D. S. Bundela & Mahesh Kalashetty, 2019. "GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(2), pages 777-797, April.
    17. Shray Pathak & Chandra Shekhar Prasad Ojha & Rahul Dev Garg & Min Liu & Daniel Jato-Espino & Rajendra Prasad Singh, 2020. "Spatiotemporal Analysis of Water Resources in the Haridwar Region of Uttarakhand, India," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    18. Jabir Haruna Abdulkareem & Biswajeet Pradhan & Wan Nor Azmin Sulaiman & Nor Rohaizah Jamil, 2019. "Long-term runoff dynamics assessment measured through land use/cover (LULC) changes in a tropical complex catchment," Environment Systems and Decisions, Springer, vol. 39(1), pages 16-33, March.
    19. Konstantinos Soulis & John Valiantzas, 2013. "Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1737-1749, April.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:31:y:2017:i:5:d:10.1007_s11269-017-1610-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.