Prediction of bioaccessible lead in urban and suburban soils with Vis-NIR diffuse reflectance spectroscopy

Paltseva, Anna; Deeb, Maha; Iorio, Erika Di; Circelli, Luana; Cheng, Zhongqi; Colombo, Claudio

doi:10.1016/j.scitotenv.2021.151107

Cited by 15 publications

(5 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Soil pH, fertilizers, nutrients, compost, and biochar also play a role in the trace element distribution in garden soils [49][50][51][52][53]. Certain fertilizers that contain different plant nutrients can have the same effect on soil.…”

Section: Ph Compost and Biocharmentioning

confidence: 99%

“…Certain fertilizers that contain different plant nutrients can have the same effect on soil. For example, fertilizers containing ammonium decrease the negative charge of the soil, which increases lead availability, while fertilizers containing phosphates increase the negative charge and decrease lead availability [12,51]. Maintaining a neutral pH will ensure that the availability of all trace metals will stay low, which will decrease plant uptake [17].…”

Section: Ph Compost and Biocharmentioning

confidence: 99%

See 1 more Smart Citation

Trace Metal Contamination in Community Garden Soils across the United States

Malone,

Shakya

2024

Sustainability

View full text Add to dashboard Cite

Community gardens are often seen as a means for producing sustainable food resources in urban communities. However, the presence of trace metals and metalloids such as lead, arsenic, and cadmium in urban soils poses a health risk to gardeners who participate in urban community gardens. They are exposed to these contaminates through multiple exposure pathways such as inhalation and ingestion directly through soil or through crops grown in the soil. Hot spots of soil contamination are higher in areas of cities with greater minority populations and lower incomes. This paper reviews the state of heavy metal contamination in community garden soils across the United States. This paper outlines the major sources of heavy metals in urban soils, exposure pathways, the ways to reduce heavy metal levels in garden soils, the means to slow down the uptake of heavy metals, and limit the exposure of these contaminates. The application of biochar and compost, implementing raised beds, and maintaining a natural pH are all examples of ways to mitigate heavy metal contaminants.

show abstract

Section: Ph Compost and Biocharmentioning

confidence: 99%

Section: Ph Compost and Biocharmentioning

confidence: 99%

Trace Metal Contamination in Community Garden Soils across the United States

Malone,

Shakya

2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Considering the distribution of solutions in the target space and the selection of fitness function, the whale algorithm is proposed by integrating the multi-objective optimization algorithm. In a particular case, the relative ability of individuals to pass on their genes to their offspring is called fitness [14][15]. The management of spectrum resources typically involves multiple objectives, such as enhancing system throughput and reducing interference effects.…”

Section: A Spectrum Sensing Algorithm Construction Incorporating Mult...mentioning

confidence: 99%

“…In formula (13), λ is the instantaneous SNR at the sensing user, ( ) In formula ( 14), 1 totalj a is the fuzzy integral value of the j perceived user signal on the fuzzy integrator 0 H , and n is the number of perceived users in the whole system. According to the perceived user signal, the sum of the fuzzy integral values in the absence of the primary user signal is shown in formula (15). sum , the primary user signal is determined as non-existent.…”

Section: Spectrum Sensing Modeling Using Fuzzy Integral and Multi-obj...mentioning

confidence: 99%

Spectrum Sensing Algorithm by Multi-Objective Optimization Theory and Fuzzy Integral Method

Dong

2023

IEEE Access

View full text Add to dashboard Cite

As spectrum resources become increasingly scarce, efficient spectrum management is crucial in wireless communication. To address this challenge, a new spectrum sensing algorithm based on multi-objective optimization theory and fuzzy integral method has been developed. This innovative algorithm combines the whale algorithm and fuzzy integral algorithm, allowing for multi-objective optimization and interference decision-making. It overcomes limitations in existing multi-user spectrum sensing methods, such as low perception probability, poor detection accuracy, high false alarm probability, and computational complexity. Comparative studies show that the multi-objective whale algorithm achieves excellent optimization performance and fast convergence, reaching a throughput of 16.8 after 600 cycles. The collaborative spectrum sensing method, especially the one based on fuzzy integration, performs exceptionally well, particularly in high signal-to-noise ratio environments. This algorithm has significant application potential and effectively addresses spectrum resource management in wireless communication. It offers benefits such as improved spectrum utilization efficiency, scalability, and practicality, making valuable contributions to technological progress and efficiency enhancement in the field.

show abstract

“…Visible and near infrared (Vis-NIR) spectroscopy has been widely used for qualitative and quantitative analysis in many applications (van Kollenburg et al 2021, Kapoor et al 2022, Paltseva et al 2022. Vis-NIR spectra include a visible region, which contains wavelengths from 380 nm to 780 nm; and a near infrared region, which contains shortwavelength (780 to 1,100 nm) and long-wavelength (1,100 to 2,526 nm) near infrared regions (Scotter 2005).…”

mentioning

confidence: 99%

Determination of Geographical Origin and Tree Species Using Vis-NIR and Chemometric Methods

Liu¹,

Via²,

Li³

et al. 2022

Forest Products Journal

View full text Add to dashboard Cite

The variation of wood properties between different geographical origin and tree species has an important influence on end use applications. This study aimed to investigate the feasibility of wood origin and species classification based on visible and near infrared spectroscopy and chemometric methods. The influence of geographical origin on tree species identification also was analyzed. A total of 530 samples with 2 origins and 5 tree species were collected for analysis. The raw reflectance spectra were preprocessed by spectral transformation technique, and nonlinear discrimination models were built by support vector machine (SVM) using various spectral forms. Three algorithms—grid search (GS), genetic algorithm (GA), and particle swarm optimization (PSO)—were applied to optimize the parameters of SVM models, respectively. Regardless of spectral forms and optimization techniques, the prediction accuracy was lower than that of the calibration set for wood origin and tree species identification. Except for reflectance spectra, prediction accuracy of 100 percent was obtained based on SVM in combination with three algorithms for origin discrimination. However, SVM in combination with reflectance spectra and GS technique achieved the best prediction accuracy (93.18%) for tree species identification. These results demonstrated that visible and near infrared spectroscopy combined with chemometric techniques can be used for geographical origin and tree species determination.

show abstract

Prediction of bioaccessible lead in urban and suburban soils with Vis-NIR diffuse reflectance spectroscopy

Cited by 15 publications

References 56 publications

Trace Metal Contamination in Community Garden Soils across the United States

Trace Metal Contamination in Community Garden Soils across the United States

Spectrum Sensing Algorithm by Multi-Objective Optimization Theory and Fuzzy Integral Method

Determination of Geographical Origin and Tree Species Using Vis-NIR and Chemometric Methods

Contact Info

Product

Resources

About