Soil and Water Research - Latest articles
Results 61 to 68 of 68:
Past, present and future of the applications of machine learning in soil science and hydrology
Xiangwei Wang, Yizhe Yang, Jianglong Lv, Hailong He
Soil & Water Res., 2023, 18(2):67-80 | DOI: 10.17221/94/2022-SWR 
Machine learning can handle an ever-increasing amount of data with the ability to learn models from the data. It has been widely used in a variety of disciplines and is gaining increasingly more attention nowadays. As it is challenging to map soil and hydrological information that are characterised with high spatial and temporal variability, applications of machine learning in soil science and hydrology (AMLSH) have become popularised. To better understand the current state of AMLSH research, a scientific and quantitative approach was performed to statistically analyse publication information from 1973 to 2021 archived in the Scopus database using...
Developing a decision-making model for improving the groundwater balance to control land subsidence
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...
Prediction of the soil organic carbon in the LUCAS soil database based on spectral clustering
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...
Ambient background and quality reference values for trace metals in soils from Algeria
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 saturated hydraulic conductivity Ks of agricultural soil using pedotransfer functions
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)....
Reducing greenhouse gas emission by alternation of the upland crop rotation in the Mekong Delta, Vietnam
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...
Soil quality assessment using SAS (Soil Assessment System)
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...
List of Reviewers 2022
Editorial Department
Soil & Water Res., 2023, 18(1):I