JOURNAL OF NATURAL RESOURCES ›› 2013, Vol. 28 ›› Issue (10): 1778-1787.doi: 10.11849/zrzyxb.2013.10.012

• Resources Research Methods • Previous Articles     Next Articles

Effects of Soil Parameters in SCS-CN Runoff Model

LI Run-kui1, ZHU A-xing2, CHEN La-jiao3, LIU Jun-zhi2, SONG Xian-feng1, LIN Yao-ming2   

  1. 1. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
    2. State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China
  • Received:2011-12-31 Revised:2013-04-27 Online:2013-10-20 Published:2013-10-20
  • Contact: 宋现锋(1969- ),博士,教授,从事地理信息系统研究。E-mail:

Abstract: Soil data is one of the major input datasets for surface runoff simulation and has large impact on variation of the calculated results. It's important and helpful to understand seasonal variations of the impacts of soil data on calculated surface runoff. This study theoretically analyzed the effects of soil data on daily SCS-Curve Number (CN) runoff model in SWAT model (Soil and Water Assessment Tool), and a case study was also conducted to verify the analysis. Results show that the daily adjusted curve number is largely affected by ratio of two soil hydrologic parameters, saturated soil water content (SAT) to field capacity (FC). Large ratio of SAT/FC leads to smaller variation magnitude of curve number according to a given variation of soil water content, and differences of simulated runoff between soils with different SAT/FC change seasonally as adjusted by soil water content. A case study adopted two different soil datasets for runoff simulation was conducted in Brewery Creek watershed (about 19.5 km2), and the experimental results matched that of the theoretical analysis well.

Key words: SCS-CN, SWAT model, soil water content, surface runoff, soil data

CLC Number: 

  • TV121+.2