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Water
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Soil Dynamics and Water Resource Management
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Soil Dynamics and Water Resource Management

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Soil and Water".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 2796

Special Issue Editor

Prof. Dr. José Miguel Reichert

E-Mail Website
Guest Editor
Soils Department, Universidade Federal de Santa Maria, Santa Maria 97105-900, RS, Brazil
Interests: soil physics; soil mechanics; soil hydrology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Studies are welcomed for submission to this Special Issue on the general topic of soil dynamics and water resource management. Studies should have a focus on the understanding of processes and practical applications by stakeholders in the field.

Combining soil and water at different landscape scales will enrich the scientific contribution. Research on soil quality, structure, and compaction studied at different scales (microscopic to macroscopic), with the use of traditional and modern technologies, coupled or not to soil, landscape, and watershed hydrology affecting the amount and quality of water are most welcome, as well as those on the interaction between soil and plants (native species or agricultural, forest and grassland crops), especially coupled with soil type and quality and hydrological behavior.

These are some research topics for this Special Issue on soil dynamics and water resource management, but the scope is not limited to those, as myriad topic combinations are possible when studying soils and practices for sustainable land use and water management. The scientific contributions may be original research papers, new study methods, perspectives and opinions, reviews (traditional or narrative, systematic, meta-analysis, or meta-synthesis), or modeling approaches.

We look forward to receiving your contributions.

Prof. Dr. José Miguel Reichert
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.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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 structure
  • soils and plants
  • watershed hydrology
  • water balance
  • water availability to plants

Published Papers (3 papers)

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Research

15 pages, 5248 KiB  
Article
Determination of Heavy Metal Sources in an Agricultural Catchment (Poland) Using the Fingerprinting Method
by Damian Bojanowski
Water 2024, 16(9), 1209; https://doi.org/10.3390/w16091209 - 24 Apr 2024
Viewed by 420
Abstract
This study investigates the heavy metal contamination of soils and suspended sediments in the Nurzec River catchment (Eastern Poland), focusing in particular on the effects of catchment land use. The fingerprinting technique has been combined with the classic, Igeo, and EF [...] Read more.
This study investigates the heavy metal contamination of soils and suspended sediments in the Nurzec River catchment (Eastern Poland), focusing in particular on the effects of catchment land use. The fingerprinting technique has been combined with the classic, Igeo, and EF index-supported contamination analysis to identify heavy metals sources. A wide range of elements (31 chemical elements including heavy metals) allowed the author to analyse the pathways and to identify the pressures of heavy metal contamination. The developed statistical models of heavy metal source distribution displayed results at a statistically significant level. The results have revealed the significant impact of land use connected with urban areas (URBAN) and pastures (PAST), which together constitute less than 20% of the river catchment area. These results are relevant to the local authorities and stakeholders, as they highlight the significant impact of low-density urban areas that are not locally considered as the major sources of heavy metal pollution. These results will contribute to sustainable decisions in the field of contaminated catchment area remediation. Full article
(This article belongs to the Special Issue Soil Dynamics and Water Resource Management)
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22 pages, 2533 KiB  
Article
Soil Moisture Forecast Using Transfer Learning: An Application in the High Tropical Andes
by Diego Escobar-González, Marcos Villacís, Sebastián Páez-Bimos, Gabriel Jácome, Juan González-Vergara, Claudia Encalada and Veerle Vanacker
Water 2024, 16(6), 832; https://doi.org/10.3390/w16060832 - 13 Mar 2024
Viewed by 901
Abstract
Soil moisture is a critical variable in the hydrological cycle and the climate system, significantly impacting water resources, ecosystem functioning, and the occurrence of extreme events. However, soil moisture data are often scarce, and soil water dynamics are not fully understood in mountainous [...] Read more.
Soil moisture is a critical variable in the hydrological cycle and the climate system, significantly impacting water resources, ecosystem functioning, and the occurrence of extreme events. However, soil moisture data are often scarce, and soil water dynamics are not fully understood in mountainous regions such as the tropical Andes of Ecuador. This study aims to model and predict soil moisture dynamics using in situ-collected hydrometeorological data for training and data-driven machine-learning techniques. Our results highlight the fundamental role of vegetation in controlling soil moisture dynamics and significant differences in soil water balance related to vegetation types and topography. A baseline model was developed to predict soil moisture dynamics using neural network techniques. Subsequently, by employing transfer-learning techniques, this model was effectively applied to different soil horizons and profiles, demonstrating its generalization capacity and adaptability. The use of neural network schemes and knowledge transfer techniques allowed us to develop predictive models for soil moisture trained on in situ-collected hydrometeorological data. The transfer-learning technique, which leveraged the knowledge from a pre-trained model to a model with a similar domain, yielded results with errors on the order of 1×10−6<ϵ<1×10−3. For the training data, the forecast of the base network demonstrated excellent results, with the lowest magnitude error metric RMSE equal to 4.77×10−6, and NSE and KGE both equal to 0.97. These models show promising potential to accurately predict short-term soil moisture dynamics with potential applications for natural hazard monitoring in mountainous regions. Full article
(This article belongs to the Special Issue Soil Dynamics and Water Resource Management)
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16 pages, 3151 KiB  
Article
Soil Macropore and Hydraulic Conductivity Dynamics of Different Land Uses in the Dry–Hot Valley Region of China
by Yi Wang, Jingru Ruan, Yongkang Li, Yaping Kong, Longxi Cao and Wei He
Water 2023, 15(17), 3036; https://doi.org/10.3390/w15173036 - 24 Aug 2023
Viewed by 1122
Abstract
Soil macropores and hydraulic conductivity are important indexes used to describe soil hydrology. In the dry-hot valley region of Southwest China, with its dramatic seasonal dry–wet rhythm, soil properties and hydraulic conductivity can reflect unique dynamics as determined by the interaction between land [...] Read more.
Soil macropores and hydraulic conductivity are important indexes used to describe soil hydrology. In the dry-hot valley region of Southwest China, with its dramatic seasonal dry–wet rhythm, soil properties and hydraulic conductivity can reflect unique dynamics as determined by the interaction between land use and the seasonal dry–wet cycle. In this study, the soil macropore characteristics and hydraulic conductivity of five land uses (traditional corn, plum orchard, pine forest, grassland, and abandoned cropland) in a dry–hot valley region were quantified using X-ray computed tomography (CT) and a mini disk infiltrometer in the rainy season (July) and dry season (November), respectively. The results showed that the soil macropore indexes (soil macroporosity, mean diameter of macropores, connectivity, hydraulic radius and compactness) in the rainy season were, on average, 1.26 times higher than those in the dry season. Correspondingly, the hydraulic conductivity of different land uses in the rainy season was significantly higher than those in the dry season (2.10 times higher, on average). Correlation analysis and principal component analysis (PCA) indicated that the hydraulic conductivity was mainly determined by soil macropore parameters rather than by general soil properties, such as organic matter (OM) and bulk density (BD). The hydraulic conductivity for the five land uses followed the order of PF > GL > TC > PO > AC in both the rainy and the dry seasons. This ranking order reflects the protective effect of vegetation in reducing raindrop splash and soil crust formation processes. The above results can help guide soil water conservation and vegetation restoration in the dry-hot valley region of Southwest China. Full article
(This article belongs to the Special Issue Soil Dynamics and Water Resource Management)
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