Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Dataset for Modelling of infiltration rates in soils derived from contrasting parent materials using Horton's model

Domain:

agriculture

Record type:

dataset
Creator:
UtiOguUdo
Publisher:
Zenodo
Host:avatar
This dataset was initially generated as part of a broader project investigating infiltration and various soil properties in soils derived from three parent materials in Akwa Ibom State, Nigeria: Alluvial Clay, Coastal Plain Sands, and Sandstone. Utin and Oguike (2018) initially utilized this data to evaluate Philip's and Kostiakov's models in these soils. Subsequently, the infiltration data were employed as secondary data to assess the performance of Horton's model in predicting infiltration rates for the three soil types.

Visit

doi.orgzenodo.org

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Predicting the steady-state infiltration rates of agricultural soils of the Mediterranean region from their soil surface conditionsEstimation of Kostiakov’s Infiltration Model Parameters of Some Sandy Loam Soils of Ikwuano – Umuahia, NigeriaDataset - Satellite-derived Composite Drought Index Modelling Framework and Forecasting using Deep LearningMODELLING THE DETERMINANTS OF UNDER-FIVE CHILD MORTALITY RATES USING COX PROPORTIONAL HAZARDS REGRESSION MODELSediment yield, detachment, and runoff from soil under selected parent materials in Southeastern Nigeria.A 100 m uncertainty-aware dataset of rooftop rainwater harvesting potential for South Asia derived from building footprints, remote sensing, and probabilistic rainfall modelling A 100 m uncertainty-aware dataset of rooftop rainwater harvesting potential for South Asia derived from building footprints, remote sensing, and probabilistic rainfall modelling

Predicting the steady-state infiltration rates of agricultural soils of the Mediterranean region from their soil surface conditions

International audience Knowledge of soil infiltration properties is essential for man

Estimation of Kostiakov’s Infiltration Model Parameters of Some Sandy Loam Soils of Ikwuano – Umuahia, Nigeria

Dataset - Satellite-derived Composite Drought Index Modelling Framework and Forecasting using Deep Learning

This dataset provides a high-resolution (1 km) spatio-temporal Composite Drought Index (CDI

MODELLING THE DETERMINANTS OF UNDER-FIVE CHILD MORTALITY RATES USING COX PROPORTIONAL HAZARDS REGRESSION MODEL

An under-five childhood mortality rates in Nigeria is still high, despite efforts of government at a

Sediment yield, detachment, and runoff from soil under selected parent materials in Southeastern Nigeria.

Soil degradation due to water erosion among other causes has been a major problem in southeastern Ni

A 100 m uncertainty-aware dataset of rooftop rainwater harvesting potential for South Asia derived from building footprints, remote sensing, and probabilistic rainfall modelling A 100 m uncertainty-aware dataset of rooftop rainwater harvesting potential for South Asia derived from building footprints, remote sensing, and probabilistic rainfall modelling

Dataset Files SummaryThis repository provides a set of geospatial datasets for rainfall analysis and