Soil Hydrology and Erosion Volume 2

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Hydrogeology".

Deadline for manuscript submissions: closed (15 March 2021) | Viewed by 2989

Special Issue Editor


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Guest Editor
Natural Science Laboratory, Toyo University, Tokyo 112-8606, Japan
Interests: hydrology; soil physics; vadose zone; hydrologic modeling; monitoring soil water movement; biological effect on water movement in soil
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Special Issue Information

Dear Colleagues,

Soil hydrological processes are studied in various fields: Agronomy, environmental science, forestry, hydrology, meteorology, soil conservation, and water management. Proper understanding and prediction of soil hydrological processes in the vadose zone and aquifers is a base for such various applications. Specifically, soil conservation practices are aimed at reducing soil loss associated with land use or land use change. To quantify the potential benefits of conservation practices, land managers need reliable tools to predict soil loss. In recent years, research has been undertaken to develop or improve hydrology and erosion models. These models have a wide range of spatial and temporal scale, from plot to watershed scale and from rainfall event to annual.

In the first volume of this Special Issue, various topics on hydrology and erosion were published. Therefore, we would like to invite you to submit the latest research on this topic in this second volume.

Prof. Dr. Katsutoshi Seki
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • soil hydrology
  • soil physics
  • modeling and management of water flow
  • vadose zone
  • soil moisture
  • heterogeneity
  • chemical fate and transport in soils
  • soil erosion
  • erosion risk assessment

Published Papers (1 paper)

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Research

8 pages, 871 KiB  
Communication
Saturated Hydraulic Conductivity Measurements in a Loam Soil Covered by Native Vegetation: Spatial and Temporal Variability in the Upper Soil Layer
by George Kargas, Paraskevi A. Londra and Kyriaki Sotirakoglou
Geosciences 2021, 11(2), 105; https://doi.org/10.3390/geosciences11020105 - 22 Feb 2021
Cited by 4 | Viewed by 2565
Abstract
Saturated hydraulic conductivity (Ks) of soil, especially of the upper soil layer, is a basic parameter for modeling water infiltration and solute transport in the soil. In the present study, spatial and temporal variability of Ks in the upper soil [...] Read more.
Saturated hydraulic conductivity (Ks) of soil, especially of the upper soil layer, is a basic parameter for modeling water infiltration and solute transport in the soil. In the present study, spatial and temporal variability of Ks in the upper soil layer of a loam soil, which was covered by native vegetation for 20 years and had not undergone any cultivation treatment, is investigated. Saturated hydraulic conductivity of 76 undisturbed soil samples, taken twice a year at the dry (37 soil samples) and rainy periods (39 soil samples), was measured using a constant head method. The study reveals that Ks values exhibit significant spatial variability over the two time periods of measurement and follow a lognormal distribution with a coefficient of variation greater than 70%. On the contrary, there was no statistically significant seasonal variability of Ks between summer (dry period) and winter (rainy period) sampling (p > 0.05), and, therefore, there was no significant temporal variability of Ks. The outcome of this study indicated that hydrological models have to include more process understanding in terms of natural variability. Full article
(This article belongs to the Special Issue Soil Hydrology and Erosion Volume 2)
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