Impact of direct soil moisture and revised soil moisture index methods on hydrologic predictions in an arid climate

Milad Jajarmizadeh, Sobri Bin Harun, Shamsuddin Shahid, Shatirah Akib, Mohsen Salarpour

Research output: Contribution to journalArticle

3 Citations (Scopus)
147 Downloads (Pure)

Abstract

The soil and water assessment tool (SWAT) is a physically based model that is used extensively to simulate hydrologic processes in a wide range of climates around the world. SWAT uses spatial hydrometeorological data to simulate runoff through the computation of a retention curve number. The objective of the present study was to compare the performance of two approaches used for the calculation of curve numbers in SWAT, that is, the Revised Soil Moisture Index (SMI), which is based on previous meteorological conditions, and the Soil Moisture Condition II (SMCII), which is based on soil features for the prediction of flow. The results showed that the sensitive parameters for the SMI method are land-use and land-cover features. However, for the SMCII method, the soil and the channel are the sensitive parameters. The performances of the SMI and SMCII methods were analyzed using various indices. We concluded that the fair performance of the SMI method in an arid region may be due to the inherent characteristics of the method since it relies mostly on previous meteorological conditions and does not account for the soil features of the catchment.

Original languageEnglish
Article number156172
JournalAdvances in Meteorology
Volume2014
DOIs
Publication statusPublished - 1 Jan 2014

Fingerprint Dive into the research topics of 'Impact of direct soil moisture and revised soil moisture index methods on hydrologic predictions in an arid climate'. Together they form a unique fingerprint.

  • Cite this