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Application of GeoWEPP for Determining Sediment Yield and Runoff in the Orcan Creek Watershed in Kahramanmaras, Turkey †

View Article: PubMed Central - PubMed

ABSTRACT

The geo-spatial interface of the WEPP model called GeoWEPP uses digital geo-referenced information integrated with the most common GIS tools to predict sediment yield and runoff. The model determines where and when the sediment yield and runoff occurs and locates possible deposition places. In this study, the sediment yield and runoff from Orcan Creek watershed in Kahramanmaras region was estimated by using GeoWEPP model. To investigate the performance of the model, the sediment yield and runoff results from the GeoWEPP model were compared with the observed monthly data collected from the sample watershed. The average Root Mean Square Errors (RMSE) between observed and predicted average annual sediment yield and runoff were 2.96 and 8.43, respectively. The index of agreement was 0.98 and 0.99 for sediment yield and runoff, respectively, which indicated that the model predictions provided good results.

No MeSH data available.


Comparison of predicted and observed sediment yield.
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f10-sensors-08-01222: Comparison of predicted and observed sediment yield.

Mentions: Statistical summary of predicted and observed values for sediment yield and runoff was shown in Table 1. The results indicate that the GeoWEPP model over-predicted the sediment yield by 27% and under-predicted the runoff by 13%. The comparison of predicted monthly sediment yield and runoff with observed data at the watershed was indicated in Figures 10 and 11, respectively. The sediment yield and runoff prediction revealed an RMSE of 2.96 and 8.43, respectively. Besides, GeoWEPP predicted the sediment yield and runoff with the index of agreement of 0.98 and 0.97, respectively. In a similar study, Kırnak (2002; found the RMSE and the index of agreement values of 14.75 and 11.6, and 0.64 and 0.92 for predicted sediment yield and runoff, respectively [33].


Application of GeoWEPP for Determining Sediment Yield and Runoff in the Orcan Creek Watershed in Kahramanmaras, Turkey †
Comparison of predicted and observed sediment yield.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927523&req=5

f10-sensors-08-01222: Comparison of predicted and observed sediment yield.
Mentions: Statistical summary of predicted and observed values for sediment yield and runoff was shown in Table 1. The results indicate that the GeoWEPP model over-predicted the sediment yield by 27% and under-predicted the runoff by 13%. The comparison of predicted monthly sediment yield and runoff with observed data at the watershed was indicated in Figures 10 and 11, respectively. The sediment yield and runoff prediction revealed an RMSE of 2.96 and 8.43, respectively. Besides, GeoWEPP predicted the sediment yield and runoff with the index of agreement of 0.98 and 0.97, respectively. In a similar study, Kırnak (2002; found the RMSE and the index of agreement values of 14.75 and 11.6, and 0.64 and 0.92 for predicted sediment yield and runoff, respectively [33].

View Article: PubMed Central - PubMed

ABSTRACT

The geo-spatial interface of the WEPP model called GeoWEPP uses digital geo-referenced information integrated with the most common GIS tools to predict sediment yield and runoff. The model determines where and when the sediment yield and runoff occurs and locates possible deposition places. In this study, the sediment yield and runoff from Orcan Creek watershed in Kahramanmaras region was estimated by using GeoWEPP model. To investigate the performance of the model, the sediment yield and runoff results from the GeoWEPP model were compared with the observed monthly data collected from the sample watershed. The average Root Mean Square Errors (RMSE) between observed and predicted average annual sediment yield and runoff were 2.96 and 8.43, respectively. The index of agreement was 0.98 and 0.99 for sediment yield and runoff, respectively, which indicated that the model predictions provided good results.

No MeSH data available.