Evaluation of Emprical Models for Sediment Yield Prediction at Semi-Arid Small Watershed using Measured Data

Subject Areas : natural resorces

Ali Bagherian kalat ^{1 *} , Ali Akbar Abbasi ² , Seyed Masoud Soleimanpour ³

1 - Researcher, Soil Conservation and Watershed Management Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Mashhad,
2 - Research Associate Professor, Soil Conservation and Watershed Management Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization
3 - Assistant Professor, Soil Conservation and Watershed Management Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran.

Received: 2018-12-29 Accepted : 2019-07-17 Published : 2020-10-22

Keywords: Small Dam, soil and water conservation, Erosion Model,

Abstract :

Background and Objective: Due to the lack of sediment stations in most of the country's watersheds outlets and inadequacy of data, experimental models can be important tools for the production of these information layers. Common Empirical model in Iran is EPM. Method: Since this model has been designed in other countries, it is necessary to examine its performance in Iran. The main objective of the project is Model situations with nature and complete database available about erosion and its affecting factors. In implementing this plan, 4 small soil dams in Kardeh Dam and five sub-basins have a pond to collect runoff and sediment in Sanganeh of Kalat was selected. These catchment areas were studied and information layers for EPM model produced. Amounts of sediment were estimated and were compared with observed sediment. Findings: The results indicated that the uncalibrated FMS model overestimated the eroded materials. Results of the EPM and calibrated FMS model indicated 0.66 and 0.35 Nash-Sutcliff efficiency. Discussion and Conclusion: Therefore, we can accept the estimated results of this model as somewhat reliable.

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