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Romulo Felix Nunes

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

203

TOTAL CITATIONS

2

Scholarly Papers (4)

1.

The S-Index for Evaluating Soil Physical Quality Under Different Land Uses on a Watershed Scale

Number of pages: 49 Posted: 23 Aug 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 68 (899,324)
Citation 1

Abstract:

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spatial uncertainties, Spatial variability, soil physical vulnerability, Geostatistics, soil water retention curve, physical-hydraulic attributes

2.

Exploring the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors Using Artificial Neural Networks at Watershed Scale

Number of pages: 34 Posted: 19 Jan 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP), affiliation not provided to SSRN, Hohai University and affiliation not provided to SSRN
Downloads 53 (1,041,696)

Abstract:

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supervised machine learning, soil hydro-physical data, principal component analysis, land use systems, watershed scale

3.

Geostatistical Simulation in Assessing Spatial Uncertainties of Soil Physical Vulnerability at the Watershed Scale

Number of pages: 55 Posted: 21 Aug 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 45 (1,157,785)

Abstract:

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Geostatistics, spatial variability, sequential Gaussian simulation, land use, saturated hydraulic conductivity, physical-hydric attributes

4.

Artificial Neural Network Models to Examine the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors at the Watershed Scale

Number of pages: 33 Posted: 13 Jul 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP), affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 37 (1,222,651)
Citation 1

Abstract:

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supervised machine learning, soil hydro-physical data, terrain attributes, Principal component analysis, land use systems, watershed scale.