Article
Environmental Studies
Zhijia Gu, Shaomin Cao, Ao Li, Qiang Yi, Shuang Li, Panying Li
Summary: In order to control soil erosion, it is crucial to accurately determine the intensity and distribution of soil erosion in a region and implement appropriate conservation measures. Currently, regional soil erosion assessment primarily utilizes sampling surveys and grid-based calculations. While sampling surveys provide high-precision data, the methods used and extrapolation techniques greatly affect the assessment. Conversely, grid-based calculations are limited by the accuracy of the data source. This study compared the use of sampling surveys and grid computations for soil erosion assessment in Baiquan County in Northeast China. The findings highlighted the overestimation of soil erosion rates and proportions when using the grid method, and identified limitations in using a digital elevation model with a resolution of 30 m for hilly areas. Interpolation of soil erosion proportions based on land use proved to be a more effective approach for assessing regional soil erosion.
Article
Geosciences, Multidisciplinary
N. P. Kirillova, Y. Zhang, A. E. Hartemink, D. A. Zhulidova, Z. S. Artemyeva, D. M. Khomyakov
Summary: The study of soil color is crucial for soil classification and diagnosis of soil processes and properties. Soil colors are significantly affected by moisture content, and colorimetric calibration methods can accurately obtain the colors of moist soils.
Article
Engineering, Multidisciplinary
Xi Cheng, Xueping Liu, Pingfa Feng, Long Zeng, Haoyu Jiang, Zhen Sun, Shaoqiu Zhang
Summary: This paper proposes an efficient adaptive sampling method based on deviation analysis for NURBS curve and surface reconstruction. By iteratively removing insignificant points and deriving a closed solution for curve deviation, our method outperforms existing methods in terms of reconstruction accuracy and time consumption. The comparison with classic sampling strategies demonstrates a 62% and 71% reduction in curve and surface reconstruction errors, respectively.
Article
Agriculture, Multidisciplinary
James Kobina Mensah Biney
Summary: This study compares the differences in soil organic carbon (SOC) prediction using different sampling design methods and data sources. The results show that the grid design (GD) method with merged data performed better than the simple random (SR) method. However, the SR sampling with field spectra (FS) yielded the highest accuracy and lowest error margin. This suggests that employing different sampling design methods separately is a promising approach for SOC estimation, particularly in fields with low SOC.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Biodiversity Conservation
Celine Pelosi, Emmanuelle Baudry, Olaf Schmidt
Summary: This study compared the efficiency of two classical methods for quantitatively assessing earthworm populations in landscape contexts with varying levels of urbanization. While the electrical extraction method and a combined mustard oil liquid extraction followed by hand-sorting produced similar estimates of species richness, the electrical method extracted significantly fewer earthworms in terms of total abundance and ecological categories. Urban land cover and soil parameters did not significantly affect total earthworm abundance or species richness. It is concluded that the electrical method is a useful tool for sampling earthworms in urbanized environments where chemical usage and soil excavation may not be feasible.
Review
Chemistry, Analytical
Nur Ain Najihah Binti Mohd Rosdi, Nadirah Abd Hamid, Saiful Fazamil Mohd Ali, Hukil Sino, Loong Chuen Lee
Summary: Soil is a unique Earth material with diverse properties, making it essential for forensic provenance and intelligence, food provenance, biosecurity, and archaeology. Tracing the source of soil requires careful interpretation of compositional fingerprints using mathematical and statistical tools due to the contribution of multiple sources to soil variability. This article reviews recent trends in soil sampling and data interpretation strategies for source tracing of soil evidence, highlighting the need for more efficient provenance strategies in forensic soil provenance research.
CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
(2023)
Article
Nanoscience & Nanotechnology
Ying Tian, Guocheng Zhang, Yanqi Wu, Hui Chen, Dan Wu, Jiaqi Liu, Yinglong Li, Shangyi Shen, Duan Feng, Yiting Pan, Jingjing Li
Summary: Bioaerosol transmission is an important way of causing respiratory diseases, and studying bioaerosol sampling and detection is crucial. This study combined magnetic nanoparticles and cyclone sampling to monitor pathogens in low-concentration bioaerosol in the environment. The results showed that magnetic nanoparticles had advantages in extracting bacterial nucleic acid, and the high-flow cyclone sampler had good collection efficiency under certain flow rate and sampling time settings.
JOURNAL OF BIOMEDICAL NANOTECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Xiukai Yuan, Jian Gu, Shaolong Liu
Summary: This study proposed contribution indexes to measure the sensitivity of failure probability estimate with regards to sample, and derived and analyzed them for four simulation methods. The main differences between these methods lie in the contribution indexes of the safety samples, which are key factors to the efficiency of the methods. Numerical examples were used to validate the findings.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2021)
Article
Environmental Studies
Rita Leogrande, Carolina Vitti, Mirko Castellini, Marcello Mastrangelo, Francisco Pedrero, Gaetano Alessandro Vivaldi, Anna Maria Stellacci
Summary: This study compared the results of calcimetric and dry combustion methods for quantitative estimation of soil total inorganic carbon (TIC), showing a concordance between the two methods. The dry combustion method was found to be reliable and provide accurate estimates of TIC in soils with different calcium carbonate content.
Article
Agricultural Engineering
Jose Roberto Moreira Ribeiro Goncalves, Gabriel Araujo E. Silva Ferraz, Etore Francisco Reynaldo, Diego Bedin Marin, Patricia Ferreira Ponciano Ferraz, Manuel Perez-Ruiz, Giuseppe Rossi, Marco Vieri, Daniele Sarri
Summary: This study aimed to compare three different soil-sampling methods in Precision Agriculture and their environmental impact. Grid sampling (GS) was found to be the most environmentally viable option for phosphorus (P), while sampling oriented by soil electrical conductivity (OS) was better for potassium (K) and nitrogen (N). Improvement in soil-sampling techniques is needed to enhance productivity and economic and environmental benefits.
JOURNAL OF AGRICULTURAL ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Xiao-Lin Sun, Yu-Qing Lai, Xiaogang Ding, Yun-Jin Wu, Hui-Li Wang, Chunfa Wu
Summary: This study evaluated the collective impact of sample sizes, modeling methods, and landform types on the accuracy of digital soil mapping (DSM). The results showed that these factors collectively influenced the mapping accuracy and the relationship may vary depending on the accuracy metrics.
Article
Mathematics, Applied
Yosra Boukari, Houssem Haddar, Nouha Jenhani
Summary: We revisit the differential sampling method proposed in (Haddar and Nguyen 2017 Comput. Math. Appl. 74 2831-55) for identifying a periodic domain and a local perturbation. We provide a theoretical justification for the method that does not require the assumption of the local perturbation being periodic. Our theoretical framework utilizes functional spaces with continuous dependence on the Floquet-Bloch variable. The key aspect of the analysis is the validation of the generalized linear sampling method for a single Floquet-Bloch mode in this setting.
Article
Chemistry, Analytical
Goran Kitic, Damir Krkljes, Marko Panic, Csaba Petes, Slobodan Birgermajer, Vladimir Crnojevic
Summary: This paper presents an autonomous robotic system for in-field soil sampling and nitrate analysis. The system offers advantages such as individual sample analysis, georeferencing, full autonomy, real-time analysis, and lightweight design for minimal soil compaction. It includes multiple modules and is integrated with a cloud-based platform for data analysis and task management.
Article
Agriculture, Multidisciplinary
Huan Zhang, Dengfeng Wang, Baowei Su, Shuangshuang Shao, Jie Yang, Manman Fan, Jingtao Wu, Chao Gao
Summary: This study found that low-yield paddy soils in southern China have low levels of soil organic carbon, alkaline hydrolyzable nitrogen, and available potassium, but high levels of available phosphorus. The use of double- and triple-cropping systems can effectively improve soil nutrient status, enhance the organic carbon pool, and increase rice production.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Bo Svensmark
Summary: The Theory of Sampling by Pierre Gy is a comprehensive theory that explains sampling errors and how to obtain a representative sample. While Gy's formula for predicting the Fundamental Sampling Error (FSE) may be challenging to use in practice, an extended formula derived from Gy's definition of constitutional heterogeneity provides an exact method for estimating FSE for various particulate materials. This extended formula allows for accurate prediction of FSE for complex materials with multiple particle classes.
ANALYTICA CHIMICA ACTA
(2021)
