N
Nicholas Jarvis
Researcher at Swedish University of Agricultural Sciences
Publications - 101
Citations - 4077
Nicholas Jarvis is an academic researcher from Swedish University of Agricultural Sciences. The author has contributed to research in topics: Soil water & Macropore. The author has an hindex of 34, co-authored 90 publications receiving 3453 citations.
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Journal ArticleDOI
Temporal variation in the hydraulic conductivity of a tilled clay soil as measured by tension infiltrometers
Ingmar Messing,Nicholas Jarvis +1 more
TL;DR: In this article, a two-line regression model showed excellent fits to paired (In KΨ) values on all measurement occasions, indicating the existence of a bimodal pore system, reflecting the contributions of macro-and mesopores to the measured K(Ψ)-function.
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Modelling water and solute transport in macroporous soil. I. Model description and sensitivity analysis
TL;DR: In this paper, a detailed mechanistic model of water movement and transport of non-reactive solute in a macroporous soil is described, which can be run in either one or two flow domains using the same values for the hydraulic properties characterizing the soil.
Journal ArticleDOI
Near-Saturated Hydraulic Conductivity in Soils of Contrasting Texture Measured by Tension Infiltrometers
Nicholas Jarvis,Ingmar Messing +1 more
TL;DR: In this article, the authors reported detailed measurements of near-saturated hydraulic conductivity in undisturbed field soils, using Wooding's solution for infiltration from a circular source, and summarized the paired K,h data were summarized using the technique of functional normalization with three alternative models of K(h): a single exponential function, a two-line exponential model, and the Mualem-van Genuchten model.
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Influence of soil, land use and climatic factors on the hydraulic conductivity of soil
TL;DR: In this article, a new global database of hydraulic conductivity measured by ten-sion infiltrometer under field conditions was collated, and the results of their analyses on this data set contrast markedly with those of ex- isting algorithms used to estimate K. The data suggests that Ks depends more strongly on bulk density, or- ganic carbon content and land use.
Journal ArticleDOI
Understanding Preferential Flow in the Vadose Zone: Recent Advances and Future Prospects
TL;DR: In this paper, the authors review some of the more significant advances that have been made in the last decade in the study of preferential flow through the vadose zone as well as suggest some research needs in the coming years.