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Application of partial least squares regression and WetSpa model to determine factors controlling sediment yield in Chardavol watershed, Iran
This paper examines the effects of watershed complexity in terms of physiography and land use on the specific sediment yield of the Chardavol watershed (1012.946 km 2 ) in Iran. First, specific sediment yield was simulated using spatially distributed hydrological WetSpa model, then the influential factors such as morphometric variables, land-use composition and pattern and soil properties of the watershed were calculated at the sub-watershed scale. Due to the inter-reliant of these watershed characteristics, a partial least squares regression (PLSR) was used to illustrate the relationship between the specific sediment yield and data of 15 selected watershed characteristics. The results showed that the land-use composition and soil properties had the maximum effects on the specific sediment yield and clarified 79% of the variation in the specific sediment yield. Regarding the availability of digital spatial database over the watershed, this simple PLSR procedure could be applied in different watersheds.
Application of partial least squares regression and WetSpa model to determine factors controlling sediment yield in Chardavol watershed, Iran
This paper examines the effects of watershed complexity in terms of physiography and land use on the specific sediment yield of the Chardavol watershed (1012.946 km 2 ) in Iran. First, specific sediment yield was simulated using spatially distributed hydrological WetSpa model, then the influential factors such as morphometric variables, land-use composition and pattern and soil properties of the watershed were calculated at the sub-watershed scale. Due to the inter-reliant of these watershed characteristics, a partial least squares regression (PLSR) was used to illustrate the relationship between the specific sediment yield and data of 15 selected watershed characteristics. The results showed that the land-use composition and soil properties had the maximum effects on the specific sediment yield and clarified 79% of the variation in the specific sediment yield. Regarding the availability of digital spatial database over the watershed, this simple PLSR procedure could be applied in different watersheds.
Application of partial least squares regression and WetSpa model to determine factors controlling sediment yield in Chardavol watershed, Iran
Zeinivand, Hossein (author) / Nourmohammadi, Farhad
2017
Article (Journal)
English
| British Library Conference Proceedings | 2006
The Universal Partial Least Squares, UNIPALS, Algorithm for Partial Least Squares, PLS, Regression
| British Library Conference Proceedings | 1993