A multiple regression model to estimate the suspended sediment yield in Italian Apennine rivers by means of geomorphometric parameters

Grauso, Sergio; Pasanisi, Fabrizio; Tebano, Carlo; Grillini, Marcello

doi:10.1007/s40808-020-01077-1

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…To solve this problem, Undiyaundeye proposed a new multivariate statistical analysis method partial least squares (PLS) regression in 1983 [6]. Grauso et al has studied and pointed out that in the regression modeling of dependent variable to multiple independent variables, when there is a high degree of correlation within each variable set, the partial least squares regression modeling analysis is more effective than the general multiple regression, and its conclusion is more reliable [7]. By analyzing the function of partial least squares regression on the synthesis and screening of multivariate information, Attafuah et al revealed the modeling mechanism of partial least squares regression under multiple correlation conditions and also demonstrated the extensive application scope of this new multivariate analysis method [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Zhang

Yang

2022

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In order to meet the needs of the analysis and application of regression equation in clinical medicine of tonsil infection, this paper focuses on the semiparametric regression model method, cross-validation method, empirical method, and multiple regression equation analysis of atypical data using regression equation. The general method of analyzing this kind of data is given, and the parameter estimation and hypothesis testing of the model are systematically studied. The experimental results showed that among the 90 paraffin-embedded tissue specimens of chronic tonsillitis and adenoid hypertrophy in this study, 26 out of 49 male children were EBERs positive, accounting for 53.06% of male children (26/49 cases). 28 of the 41 female children were positive, accounting for 68.29 of the female children (28/41 cases). There were 14 cases in infant group, 20 cases in preschool age group, 25 cases in school-age group, and 31 cases in adolescence group; the EBERs-positive rate was 42.86% (6/14 cases) in early childhood and 55.00% in early school-age (11/20 cases), and the EBERs-positive rate was 60.00% in school-age group (15/20 cases) and 70.97% in adolescent group. The results showed that the latent infection rate of adenoid hypertrophy EBV in children with chronic tonsillitis showed no significant difference between genders. It is proved that the regression equation method can meet the needs of clinical analysis and application of tonsil infection.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Zhang

Yang

2022

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“…7, where we calculated a negative physical erosion flux (Table 1). To this end, we additionally compare millennial scale denudation fluxes with decadal-scale denudation fluxes derived from available suspended sediment yield data from Northern Apennine Rivers (Bartolini et al, 1996;Grauso et al, 2021) (Table S5). To convert the denudation rates from Bartolini et al (1996) to a flux, we assume the same sediment density of 2.65 g/cm 3 used to convert the 10 Be denudation rates into fluxes.…”

Section: Accepted Articlementioning

confidence: 99%

Controls on Physical and Chemical Denudation in a Mixed Carbonate‐Siliciclastic Orogen

et al. 2021

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 Quantify chemical weathering and physical erosion fluxes for a mixed-lithology mountain range  Physical erosion dominates the denudation signal and carbonate weathering dominates the weathering signal  Estimates of secondary carbonate precipitation suggest that up to 90% of dissolved [Ca 2+ ] is lost from carbonate-rich rivers.  Up to 90% of chemically weathered Ca 2+ is precipitated as solid secondary carbonate that becomes part of the physical denudation flux Accepted ArticleThis article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Soil erosion and sediment transport modelling using hydrological models and remote sensing techniques in Wadi Billi, Egypt

Almasalmeh¹,

Saleh

Mourad

2021

Model. Earth Syst. Environ.

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Modelling soil erosion and sediment transport are vital to assess the impact of the flash floods. However, limited research works have studied sediment transport, especially in Egypt. This paper employs the HEC-HMS lumped hydrological model to predict the sediment load due to the flood event of 9th March 2014 in Wadi Billi, Egypt. The Modified USLE model has been used to calculate the total upland erosion, while Laursen-Copeland has been used to simulate load streams’ sediment transport potential. The Normalized Difference Vegetation Index (NDVI) has been applied over Landsat 8 image captured on 20th February 2014 using ArcMap 10.5 to determine the vegetation cover based on its spectral footprint. The resulted sedigraph showed accumulation of more than five thousand tons of sediments at the Wadi’s outlet. The results are crucial to design a suitable stormwater management system to protect the downstream urban area and to use flood water for groundwater recharge.

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A multiple regression model to estimate the suspended sediment yield in Italian Apennine rivers by means of geomorphometric parameters

Cited by 4 publications

References 34 publications

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Controls on Physical and Chemical Denudation in a Mixed Carbonate‐Siliciclastic Orogen

Soil erosion and sediment transport modelling using hydrological models and remote sensing techniques in Wadi Billi, Egypt

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