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1. Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment

Author:
Jiang, Shui-Hua; Huang, Jinsong; Qi, Xiao-Hui; Zhou, Chuang-Bing
Source:
Engineering geology 2020 v.271 pp. 105597
ISSN:
0013-7952
Subject:
soil properties,   etc   ; Bayesian theory; multipliers; probability distribution;     Show all 4 Subjects
Abstract:
... The probability distributions of soil parameters can be updated with limited site-specific information via probabilistic back analyses. The updated probability distributions can be further used for a more realistic slope reliability assessment. However, few attempts have been made to conduct probabilistic back analyses accounting for the inherent spatial variability of soil properties. The main ch ...
DOI:
10.1016/j.enggeo.2020.105597

2. Soil mapping based on assessment of environmental similarity and selection of calculating samples

Author:
Li, Yao; Zhang, Na; Li, Run-Kui; Liu, Cheng-Yu; Shen, Jing; Jing, Yong-Cai
Source:
Catena 2020 v.188 pp. 104379
ISSN:
0341-8162
Subject:
soil properties,   etc   ; models; prediction; soil sampling; soil surveys; uncertainty;     Show all 6 Subjects
Abstract:
... Many predictive soil mapping (PSM) methods encounter two problems. One is how to construct a similarity index that can indicate not only the similarity of an environmental covariate between sites but also the directional difference of the covariate itself between sites and predict the soil property values beyond the range of sample values. Another is how to determine which soil samples should be u ...
DOI:
10.1016/j.catena.2019.104379

3. Blast-induced liquefaction in silty sands for full-scale testing of ground improvement methods: Insights from a multidisciplinary study

Author:
Amoroso, Sara; Rollins, Kyle M.; Andersen, Paul; Gottardi, Guido; Tonni, Laura; García Martínez, Maria F.; Wissmann, Kord; Minarelli, Luca; Comina, Cesare; Fontana, Daniela; De Martini, Paolo Marco; Monaco, Paola; Pesci, Arianna; Sapia, Vincenzo; Vassallo, Maurizio; Anzidei, Marco; Carpena, Andrea; Cinti, Francesca; Civico, Riccardo; Coco, Igino; Conforti, Dario; Doumaz, Fawzi; Giannattasio, Fabio; Di Giulio, Giuseppe; Foti, Sebastiano; Loddo, Fabiana; Lugli, Stefano; Manuel, Maria R.; Marchetti, Diego; Mariotti, Mauro; Materni, Valerio; Metcalfe, Brian; Milana, Giuliano; Pantosti, Daniela; Pesce, Antonio; Salocchi, Aura C.; Smedile, Alessandra; Stefani, Marco; Tarabusi, Gabriele; Teza, Giordano
Source:
Engineering geology 2020 v.265 pp. 105437
ISSN:
0013-7952
Subject:
soil properties,   etc   ; earthquakes; geophysics; instrumentation; liquefaction; sand; surveys; Italy;     Show all 8 Subjects
Abstract:
... In the engineering geology field increased attention has been posed in recent years to potential liquefaction mitigation interventions in susceptible sand formations. In silty sands this is a major challenge because, as the fines content increases, vibratory methods for densification become progressively less effective. An alternative mitigation technique can be the installation of Rammed Aggregat ...
DOI:
10.1016/j.enggeo.2019.105437

4. Interpolation and stratification of multilayer soil property profile from sparse measurements using machine learning methods

Author:
Zhao, Tengyuan; Wang, Yu
Source:
Engineering geology 2020 v.265 pp. 105430
ISSN:
0013-7952
Subject:
soil properties,   etc   ; Bayesian theory; artificial intelligence; engineering; geology; soil sampling;     Show all 6 Subjects
Abstract:
... Identification of subsurface stratification and characterization of spatially varying soil properties profiles in multiple soil layers are indispensable in geotechnical site investigation. Subsurface soils are often stratified first through visual inspection of soil samples obtained from boreholes or soil behavior type index from cone penetration tests. Then, the soil property profile within each ...
DOI:
10.1016/j.enggeo.2019.105430

5. Improvement in spectral library-based quantification of soil properties using representative spiking and local calibration – The case of soil inorganic carbon prediction by mid-infrared spectroscopy

Author:
Barthès, Bernard G.; Kouakoua, Ernest; Coll, Patrice; Clairotte, Michaël; Moulin, Patricia; Saby, Nicolas P.A.; Le Cadre, Edith; Etayo, Amandine; Chevallier, Tiphaine
Source:
Geoderma 2020 v.369 pp. 114272
ISSN:
0016-7061
Subject:
soil properties,   etc   ; calibration; cost effectiveness; inorganic carbon; prediction; reflectance spectroscopy; France;     Show all 7 Subjects
Abstract:
... Mid-infrared reflectance spectroscopy (MIRS) is time- and cost-effective. It was used for quantifying soil inorganic carbon (SIC) concentration in France based on a national library, and performances were evaluated on an independent regional set. Our objective was to improve the accuracy of MIRS predictions based on common multivariate regression, through spiking (enrichment of the national librar ...
DOI:
10.1016/j.geoderma.2020.114272

6. Influences of soil properties and hydrological processes on soil carbon dynamics in the cropland of North China Plain

Author:
Zhang, Wenxi; Wang, Xiujun; Lu, Tongping; Shi, Huijin; Zhao, Yuanjie
Source:
Agriculture, ecosystems & environment 2020 v.295 pp. 106886
ISSN:
0167-8809
Subject:
soil properties,   etc   ; cropland; hydrology; inorganic carbon; pH; sand; soil organic carbon; China; Yellow River;     Show all 9 Subjects
Abstract:
... Recent studies showed great variations in both soil inorganic carbon (SIC) and organic carbon (SOC) in cropland across the North China Plain. This work was designed to test the hypothesis that hydrological processes associated with the Yellow River may be responsible for the differences in soil carbon dynamics over space. We selected 22 sites from the wheat-maize cropland across the Yellow River i ...
DOI:
10.1016/j.agee.2020.106886

7. Single metal and metal mixture toxicity of five metals to Oppia nitens in five different Canadian soils

Author:
Jegede, Olukayode O.; Awuah, Kobby F.; Renaud, Mathieu J.; Cousins, Mark; Hale, Beverley A.; Siciliano, Steven D.
Source:
Journal of hazardous materials 2020 v.392 pp. 122341
ISSN:
0304-3894
Subject:
soil properties,   etc   ; adults; cobalt; copper; lead; mites; nickel; reproduction; risk; risk assessment; soil types; toxicity; zinc;     Show all 13 Subjects
Abstract:
... Metal mixture toxicity across soil types is a daunting challenge to risk assessment. Here, we evaluated metal mixture toxicity in Oppia nitens, using ten fixed metal mixture ratios in five Canadian soils that closely matched some of the EU PNEC reference soils. Soils were dosed with five metals (Cu, Zn, Pb, Co, Ni) as single metals (ten concentrations) and as mixtures (eight concentrations). Synch ...
DOI:
10.1016/j.jhazmat.2020.122341

8. Digital soil mapping and GlobalSoilMap. Main advances and ways forward

Author:
Arrouays, Dominique; Poggio, Laura; Salazar Guerrero, Osvaldo A.; Mulder, Vera Laetitia
Source:
Geoderma regional 2020 v.21 pp. e00265
ISSN:
2352-0094
Subject:
soil properties,   etc   ; Food and Agriculture Organization; prediction; soil map; soil surveys; uncertainty;     Show all 6 Subjects
Abstract:
... In this concluding paper, we summarize the main advances coming forward from the joint conference of the International Union of Soil Sciences (IUSS) Working Groups (WG) “Digital Soil mapping” (DSM) and “GlobalSoilMap”. We outline the increased availability of data and covariates. Large efforts to rescue legacy data and to put them in a harmonized format are ongoing in many parts of the world. New ...
DOI:
10.1016/j.geodrs.2020.e00265

9. Stochastic analysis and probabilistic downscaling of soil moisture in small catchments

Author:
Deshon, Jordan P.; Niemann, Jeffrey D.; Green, Timothy R.; Jones, Andrew S.; Grazaitis, Peter J.
Source:
Journal of hydrology 2020 v.585 pp. 124711
ISSN:
0022-1694
Subject:
soil properties,   etc   ; geostatistics; models; porosity; soil water; topography; variance; vegetation; water content; watersheds;     Show all 10 Subjects
Abstract:
... Many applications require fine-resolution soil-moisture maps that exhibit realistic statistical properties (e.g., spatial variance and correlation). Existing downscaling models can estimate soil moisture based on its dependence on topography, vegetation, and soil characteristics. However, observed soil-moisture patterns also contain stochastic variations around such estimates. The objectives of th ...
DOI:
10.1016/j.jhydrol.2020.124711

10. Mapping ecosystem services bundles for analyzing spatial trade-offs in inner Mongolia, China

Author:
Dou, Huashun; Li, Xiaobing; Li, Shengkun; Dang, Dongliang; Li, Xiang; Lyu, Xin; Li, Mengyuan; Liu, Siyu
Source:
Journal of cleaner production 2020 v.256 pp. 120444
ISSN:
0959-6526
Subject:
soil properties,   etc   ; case studies; ecosystem services; population density; semiarid zones; socioeconomic factors; sustainable development; temperature; China;     Show all 9 Subjects
Abstract:
... Managing multiple ecosystem services (ESs) to facilitate synergy benefits is a crucial but challenging task for sustainable development, especially in arid and semi-arid regions. In this paper, the Inner Mongolia was used as a case study to systematically analyze the spatial trade-offs and synergies between 12 ESs consisting of 88 counties using the framework of ecosystem service bundle. We mapped ...
DOI:
10.1016/j.jclepro.2020.120444

11. Analysis of lead forms and transition in agricultural soil by nano-fluorescence method

Author:
Liu, Shuyu; Ni, Lv; Chen, Wenli; Wang, Jiangli; Ma, Fang
Source:
Journal of hazardous materials 2020 v.389 pp. 121469
ISSN:
0304-3894
Subject:
soil properties,   etc   ; agricultural soils; heavy metals; humic acids; lead; manganese oxides; nanogold; nanorods; physicochemical properties;     Show all 9 Subjects
Abstract:
... The physicochemical properties of gold nanorods were used to develop many methods and techniques of detecting heavy metals recently. In this paper, the feasibility of gold nanorods was studied to detect metal lead in agricultural soil. The effects of soil properties on the form change of lead in soil were explored by gold nanorod detection technology. The results showed that the humic acid signifi ...
DOI:
10.1016/j.jhazmat.2019.121469

12. The Land Resource Circle: Supporting land-use decision making with an ecosystem-service-based framework of soil functions

Author:
Lilburne, Linda; Eger, Andre; Mudge, Paul; Ausseil, Anne-Gaelle; Stevenson, Bryan; Herzig, Alexander; Beare, Mike
Source:
Geoderma 2020 v.363 pp. 114134
ISSN:
0016-7061
Subject:
soil properties,   etc   ; climate; decision making; ecosystem services; information sources; issues and policy; land use; landscapes; planning;     Show all 9 Subjects
Abstract:
... Land information has in the past focused on the key land and soil properties that physically or chemically support or limit the use of land. With the increasing focus on the environmental, social, and cultural impacts of land-use decisions beyond the boundaries of individual land parcels, there is a growing need for more extensive land resource information to support assessments of the benefits, i ...
DOI:
10.1016/j.geoderma.2019.114134

13. Significance of soil microbe in microbial-assisted phytoremediation: an effective way to enhance phytoremediation of contaminated soil

Author:
Yang, Y.; Liu, Y.; Li, Z.; Wang, Z.; Li, C.; Wei, H.
Source:
International journal of environmental science and technology 2020 v.17 no.4 pp. 2477-2484
ISSN:
1735-1472
Subject:
soil properties,   etc   ; climate change; phytoremediation; plant growth; plant growth-promoting rhizobacteria; polluted soils; soil pollution;     Show all 7 Subjects
Abstract:
... Soil contamination is an increasing global problem. Efforts are underway to minimize the release of contaminants and develop effective bioremediation strategies. Contaminated soil can be treated by phytoremediation that is dependent on the contaminant and soil properties and plant growth rate. In recent decades, soil microbes have been used successfully to enhance the capacity of plants to tolerat ...
DOI:
10.1007/s13762-020-02668-2

14. Toxic effects of lead in plants grown in brazilian soils

Author:
Cândido, Geraldo S.; Martins, Gabriel C.; Vasques, Isabela C. F.; Lima, Francielle R. D.; Pereira, Polyana; Engelhardt, Mateus M.; Reis, Rayner H. C. L.; José Marques, João
Source:
Ecotoxicology 2020 v.29 no.3 pp. 305-313
ISSN:
0963-9292
Subject:
soil properties,   etc   ; Acrudox; Hapludox; clay; environmental quality; lead; organic matter; protocols; soybeans; toxicity; tropical soils; Brazil;     Show all 12 Subjects
Abstract:
... Lead (Pb) in soils can be transferred to plants, animals, and even humans. The toxicity of Pb is worrisome and therefore environmental quality criteria, established by laws to support the management of contaminated sites, have been developed to prevent its deleterious effects in a wide range of soils, uses, and occupations. In Brazil, the CONAMA Resolution 420/2009 established that Brazilian state ...
DOI:
10.1007/s10646-020-02174-8

15. Investigation of the Norcia basin (Central Italy) through ambient vibration measurements and geological surveys

Author:
Di Giulio, G.; Ercoli, M.; Vassallo, M.; Porreca, M.
Source:
Engineering geology 2020 v.267 pp. 105501
ISSN:
0013-7952
Subject:
soil properties,   etc   ; basins; cartography; geometry; geophysics; surveys; towns; vibration; villages; Italy;     Show all 10 Subjects
Abstract:
... During the 2016–2017, a seismic sequence struck the Central Italy, involving four regions (Umbria, Marche, Abruzzo and Lazio) and causing important damages and victims in inhabited areas such as Norcia and Amatrice towns. The strongest event of the seismic sequence was a Mw 6.5 event with epicenter at about 5 km far from the Norcia area, which is an intermontane basin prone to ground motion amplif ...
DOI:
10.1016/j.enggeo.2020.105501

16. A note on knowledge discovery and machine learning in digital soil mapping

Author:
Wadoux, Alexandre M. J.‐C.; Samuel‐Rosa, Alessandro; Poggio, Laura; Mulder, Vera Leatitia
Source:
European journal of soil science 2020 v.71 no.2 pp. 133-136
ISSN:
1351-0754
Subject:
soil properties,   etc   ; artificial intelligence; case studies; forest soils; prediction; soil organic carbon; soil surveys; topsoil;     Show all 8 Subjects
Abstract:
... In digital soil mapping, machine learning (ML) techniques are being used to infer a relationship between a soil property and the covariates. The information derived from this process is often translated into pedological knowledge. This mechanism is referred to as knowledge discovery. This study shows that knowledge discovery based on ML must be treated with caution. We show how pseudo‐covariates c ...
DOI:
10.1111/ejss.12909

17. Variations in total As and As species in rice indicate the need for crop-tracking

Author:
Segura, Fabiana Roberta; Franco, Daniel Fernandez; da Silva, Júlio José Centeno; Batista, Bruno Lemos
Source:
Subtropical plant science 2020 v.86 pp. 103392
ISSN:
0889-1575
Subject:
soil properties,   etc   ; Codex Alimentarius; Food and Agriculture Organization; arsenic; cities; guidelines; rice; risk assessment; Brazil;     Show all 9 Subjects
Abstract:
... Rice is a significant source of arsenic (As) and high consumption is noted for the Brazilian population. Inorganic-As (i-As) accumulation in rice strongly depends on geochemical soil characteristics. These characteristics may be completely different from site to site and it is expected that rice grains grown in different cities would present significant differences concerning total As (t-As) and i ...
DOI:
10.1016/j.jfca.2019.103392

18. Modeling the incoming all-wave radiation in a planted trench system

Author:
Kramer, Isaac; Agam, Nurit; Berliner, Pedro
Source:
Agricultural and forest meteorology 2020 v.281 pp. 107834
ISSN:
0168-1923
Subject:
soil properties,   etc   ; arid zones; basins; canopy; harvesting; models; pyranometers; rain; shade; shortwave radiation; terrestrial radiation; trees;     Show all 12 Subjects
Abstract:
... Micro-catchment systems (MCs) are designed to harvest and utilize rainwater, with the aim of supporting crop growth in arid regions. While MCs were traditionally built with shallow infiltration basins, recent research indicates that MCs with deeper basins lose less water to the atmosphere than MCs with shallower basins. Consequently, we can expect more water to infiltrate the soil and be available ...
DOI:
10.1016/j.agrformet.2019.107834

19. Spatial prediction of soil organic carbon stocks in Ghana using legacy data

Author:
Owusu, Stephen; Yigini, Yusuf; Olmedo, Guillermo F.; Omuto, Christian T.
Source:
Geoderma 2020 v.360 pp. 114008
ISSN:
0016-7061
Subject:
soil properties,   etc   ; agroecology; carbon sinks; ecosystem services; models; prediction; soil organic carbon; soil quality; uncertainty; Ghana;     Show all 10 Subjects
Abstract:
... Soil organic carbon (SOC) is a major driver of the multiple functions of soils in the delivery of ecosystem services. While the spatial prediction and mapping of SOC stocks are of key importance for land managers to understand the synergies between SOC management and soil health, a spatially-explicit map of the distribution of SOC stocks in Ghana is non-existent. Therefore, we quantified the spati ...
DOI:
10.1016/j.geoderma.2019.114008

20. Experimental investigation of the path-dependent strength and deformation behaviours of frozen loess

Author:
Zhou, Zhiwei; Ma, Wei; Zhang, Shujuan; Mu, Yanhu; Li, Guoyu
Source:
Engineering geology 2020 v.265 pp. 105449
ISSN:
0013-7952
Subject:
soil properties,   etc   ; anisotropy; deformation; loess; mechanical properties; microstructure; shear stress; stress relaxation; temperature; viscosity;     Show all 10 Subjects
Abstract:
... A series of triaxial shear, creep and relaxation tests with different stress paths were conducted on frozen loess at a temperature of −6 °C in order to experimentally study the path-dependent strength and deformation behaviours of the loess. Testing results indicate that the strength, the stiffness and the stress-strain relationships of frozen samples all rely on consolidation pressure and the she ...
DOI:
10.1016/j.enggeo.2019.105449