Estimation of Runoff for Ozat Catchment using RS and GIS Based SCS-CN Method | Zendy

Dipesh Chavda | Zendy; Jaydip J. Makwana | Zendy; Hitesh Parmar | Zendy; Arvind Kunapara | Zendy; G. V. Prajapati | Zendy

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Estimation of Runoff for Ozat Catchment using RS and GIS Based SCS-CN Method

Author(s) -

Dipesh Chavda,

Jaydip J. Makwana,

Hitesh Parmar,

Arvind Kunapara,

G. V. Prajapati

Publication year - 2016

Publication title -

current world environment

Language(s) - English

Resource type - Journals

eISSN - 2320-8031

pISSN - 0973-4929

DOI - 10.12944/cwe.11.1.26

Subject(s) - surface runoff , runoff curve number , hydrology (agriculture) , watershed , environmental science , runoff model , arid , drainage basin , erosion , geology , geography , computer science , cartography , geotechnical engineering , ecology , biology , paleontology , machine learning

Estimation of runoff in a watershed is a prerequisite for design of hydraulic structures, reservoir operation and for soil erosion control measures. Water resource planning and management is important and critical issue in arid and semi-arid regions. Runoff from a watershed affected by several geo-morphological parameters and for a particular watershed land use change can affect the runoff volume and runoff rate significantly. Several methods are investigated to estimate the surface runoff from a catchment but the Curve Number method is mostly used. Present study was undertaken to estimate surface runoff and water availability for two sites (Ozat-2 and Zanzesri) in the Ozat catchment situated in Junagadh, Gujarat, India using RS and GIS based curve number method. The Weight curve number for the ozat catchment is 73.00. The correlation coefficient between calculated and observed runoff was good for both catchments. In this study found that SCS-curve number method along with RS and GIS can be used successfully in semi-arid region to estimate runoff and to estimate total surface water. key words: Runoff estimation, Curve number, Remote Sensing, GIS, Semi-arid region.

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