Next Article in Journal
Selenite Removal from Water
Previous Article in Journal
Assessment of the Couple between the Historical Sample and the Theoretical Probability Distributions for Maximum flow Values Based on a Fuzzy Methodology
Proceeding Paper

Estimating Rainfall Erosivity from Daily Precipitation Using Generalized Additive Models

Department of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Presented at the 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities, Online, 24–27 June 2020.
Environ. Sci. Proc. 2020, 2(1), 21; https://doi.org/10.3390/environsciproc2020002021
Published: 13 August 2020
One of the most important natural processes responsible for soil loss is rainfall-induced erosion. The calculation of rainfall erosivity, as defined in the Universal Soil Loss Equation, requires the availability of rainfall data, either continuous breakpoint, or pluviograph, with sampling intervals on the order of minutes. Due to the limited temporal coverage and spatial scarcity of such data, worldwide, alternative equations have been developed that utilize coarser rainfall records, in an effort to estimate erosivity equivalently to that calculated using pluviograph data. This paper presents the application of generalized additive models (GAMs) to estimate erosivity utilizing daily rainfall records. As a case study, pluviograph data with a time step of 30 min from the Water District of Thrace in Greece were used. By applying GAMs, it became possible to model the nonlinear relation between daily rainfall, seasonal periodicity, and rainfall erosivity more effectively, in terms of accuracy, than the application of two well-known nonlinear empirical equations, both on a daily and an annual basis.
Keywords: rainfall erosivity; USLE; GAM; nonlinear regression; rainfall data; Greece rainfall erosivity; USLE; GAM; nonlinear regression; rainfall data; Greece
MDPI and ACS Style

Vantas, K.; Sidiropoulos, E.; Evangelides, C. Estimating Rainfall Erosivity from Daily Precipitation Using Generalized Additive Models. Environ. Sci. Proc. 2020, 2, 21. https://doi.org/10.3390/environsciproc2020002021

AMA Style

Vantas K, Sidiropoulos E, Evangelides C. Estimating Rainfall Erosivity from Daily Precipitation Using Generalized Additive Models. Environmental Sciences Proceedings. 2020; 2(1):21. https://doi.org/10.3390/environsciproc2020002021

Chicago/Turabian Style

Vantas, Konstantinos, Epaminondas Sidiropoulos, and Chris Evangelides. 2020. "Estimating Rainfall Erosivity from Daily Precipitation Using Generalized Additive Models" Environmental Sciences Proceedings 2, no. 1: 21. https://doi.org/10.3390/environsciproc2020002021

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop