Soil and Water Research, 2023 (vol. 18), issue 1

List of Reviewers 2022Editorial

Editorial Department

Soil & Water Res., 2023, 18(1):I  

Soil quality assessment using SAS (Soil Assessment System)Original Paper

Daniel Toth, Jaroslava Janků, Adéla Marie Marhoul, Josef Kozák, Mansoor Maitah, Jan Jehlička, Lukáš Řeháček, Richard Přikryl, Tomáš Herza, Jan Vopravil, David Kincl, Tomáš Khel

Soil & Water Res., 2023, 18(1):1-15 | DOI: 10.17221/141/2022-SWR  

The paper proposes a new soil evaluation system using the principle of the Saaty method. The Saaty method has been modified and named Soil Assessment System (SAS). Significance weights are assigned to individual soil characteristics (indicators). This provides a more detailed differentiation of the significance of the indicator on soil quality and a more accurate assessment, especially in marginal cases where the assessment by the methods used so far has not been fully conclusive. In addition to physico-chemical properties, other criteria are taken into account to assess not only productional but also non-productional functions. The possibility of...

Reducing greenhouse gas emission by alternation of the upland crop rotation in the Mekong Delta, VietnamOriginal Paper

Van Dung Tran, Kim Thu Nguyen, Nguyen Hoang Phuc Ho, Nguyen Thanh Lich Duong, Ngoc Minh Tam Vu, Thi Phong Lan Nguyen, Long Vu Van, Ben MacDonald

Soil & Water Res., 2023, 18(1):16-24 | DOI: 10.17221/44/2022-SWR  

Agricultural production is one of the main sources of anthropogenic greenhouse gas (GHG) emissions, contributing 50% and 60% of CH4 and N2O emissions, respectively. This study evaluated the rice yield and components, the CH4 and N2O emissions and the global warming potential between the triple rice (R-R-R) and sesame-rice rotation (S-R-R) systems in Can Tho city, Vietnam. The experiments were conducted in 3 cropping seasons: Spring-Summer 2016, Summer-Autumn 2016, and Winter-Spring 2016-2017. The results showed that there was no significant difference in yield components and grain yield between triple rice...

Prediction of saturated hydraulic conductivity Ks of agricultural soil using pedotransfer functionsOriginal Paper

Kamila Báťková, Svatopluk Matula, Markéta Miháliková, Eva Hrúzová, David Kwesi Abebrese, Recep Serdar Kara, Cansu Almaz

Soil & Water Res., 2023, 18(1):25-32 | DOI: 10.17221/130/2022-SWR  

The determination of the saturated hydraulic conductivity Ks on a field scale presents a challenge in which several variables have to be considered. As there is no benchmark or reference method for the Ks determination, the suitability of each available method has to be evaluated. This study is aimed at the functional evaluation of three publicly available types of pedotransfer functions (PTFs) with different levels of utilised predictors. In total, ten PTF models were applied to the 56 data sets including the measured Ks value and the required predictors (% sand, silt and clay particles, dry bulk density, and organic matter/organic carbon content)....

Ambient background and quality reference values for trace metals in soils from AlgeriaOriginal Paper

Abdelkader Laribi, Charles Shand, Renate Wendler, Brahim Mouhouche, Stephen Hillier, Gilles Colinet

Soil & Water Res., 2023, 18(1):33-42 | DOI: 10.17221/143/2021-SWR  

The establishment of the reference ambient background concentrations (ABCs) and quality reference values (QRVs) for trace metal (TM) concentrations in soils are required for the environmental assessment and any implementation of a protective action. This information is lacking for soils of the eastern Mitidja plain, which is an important agricultural production area in Algeria. Data for the aqua regia extractable Cd, Cr, Cu, Fe, Ni, Pb and Zn concentrations from 180 composite topsoil samples taken across the Mitidja plain in a stratified random pattern were statistically analysed. Descriptive statistical methods and linear regression equations...

Prediction of the soil organic carbon in the LUCAS soil database based on spectral clusteringOriginal Paper

Baoyang Liu, Baofeng Guo, Renxiong Zhuo, Fan Dai, Haoyu Chi

Soil & Water Res., 2023, 18(1):43-54 | DOI: 10.17221/97/2022-SWR  

The estimation of the level of the soil organic carbon (SOC) content plays an important role in assessing the soil health state. Visible and Near Infrared Diffuse Reflectance Spectroscopy (Vis-NIR DRS) is a fast and cheap tool for measuring the SOC. However, when this technology is applied on a larger area, the soil prediction accuracy decreases due to the heterogeneity of the samples. In this paper, we first investigate the global model performance in the LUCAS EU-wide topsoil database. Then, different clustering strategies were tested, including the k-means clustering based on the principal component analysis (PCA) and hierarchical clustering, combined...

Developing a decision-making model for improving the groundwater balance to control land subsidenceOriginal Paper

Mojtaba Zangeneh, Mahdi Sarai Tabrizi*, Amir Khosrojerdi, Ali Saremi

Soil & Water Res., 2023, 18(1):55-65 | DOI: 10.17221/57/2022-SWR  

This study aimed to control land subsidence by improving the groundwater balance in the Varamin plain using the Groundwater Modelling System software and a multi-criteria decision model. For this purpose, aquifer level quantification and subsidence rate simulation were performed with the MODFLOW model and SUB package, respectively. The results showed a 6 m decrease in the aquifer level over a 5-year period and the subsidence rate in the central parts was 37 cm. Accordingly, the aquifer was evaluated by considering eight different restoration strategies based on reduced exploitation and artificial feeding. The results showed that the environmental criterion...