NDLI: Modeling hillslope sediment yield using rainfall simulator field experiments and partial least squares regression: Cahaba River watershed, Alabama (USA)

Content Provider	Springer Nature Link
Author	Praskievicz, Sarah
Copyright Year	2016
Abstract	Hillslope erosion processes such as rainsplash erosion and slopewash are a major source of fine sediment that causes water-quality problems in many river systems. Hillslope sediment yield is controlled by both climatic and watershed characteristics. Understanding the relative sensitivity of sediment yield to soil and watershed characteristics under different precipitation intensities is important for identifying hotspots of sediment yield and the likely response of sediment yield to changing climate and land use. Here, field experiments on sediment yield were conducted in Alabama’s (United States) Cahaba River watershed under varying precipitation intensities using a rainfall simulator. Using data on soil and watershed characteristics, partial least squares (PLS) regression models were developed of sediment yield under both “more intense” (recurrence interval ≈ 10 years) and “less intense” (recurrence interval ≈ 1 year) simulated rainfall events. The resulting models were used to create spatially explicit estimates of sediment yield under different precipitation intensities for the Cahaba River watershed. The optimized PLS models had a cumulative R $^{2}$ of 0.41 and 0.73 for the “more intense” and “less intense” rainfall events, respectively. The higher R$^{2}$ of the “less intense” model is attributed to higher significance of the heterogeneity of watershed variables under less intense precipitation. Significant variables that were retained in both models included percent sand, percent clay, percent organic matter, and slope. The results support the use of PLS modeling to analyze the results of field experiments using rainfall simulators to examine both climatic and watershed controls on hillslope sediment yield.
Starting Page	1
Ending Page	15
Page Count	15
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	75
Issue Number	19
e-ISSN	18666299
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-10-07
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Precipitation intensity Rainsplash erosion Soil characteristics Spatial modeling Geology Hydrology/Water Resources Geochemistry Environmental Science and Engineering Terrestrial Pollution Biogeosciences
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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