Temporal multispectral and 3D analysis of Cerro de Pasco, Peru

Melton, Chad A.; Hughes, David; Page, David L.; Phillips, Michael S.

doi:10.1016/j.scitotenv.2019.135640

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…e logistics information intelligent analysis application platform based on cloud mining can be logically divided into six levels: user interaction layer, platform application layer, platform management layer, logistics information analysis layer, virtualization resource layer, and infrastructure layer [13], as shown in Figure 2.…”

Section: Logical Architecturementioning

confidence: 99%

Intelligent Analysis of Logistics Information Based on Dynamic Network Data

Yang

2022

Journal of Control Science and Engineering

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In order to realize the intellectualization of logistics information analysis, this paper proposes an intelligent analysis method of logistics information based on dynamic network data cloud mining. This paper selects the data of a shipping logistics platform to realize the intelligent analysis experiment of logistics information based on cloud clustering mining. The purpose of the experiment is to find out the advantages of logistics information intelligent analysis based on cloud mining by comparing the performance differences between cloud clustering mining and traditional clustering mining in logistics information intelligent analysis. This paper builds an experimental environment based on Hadoop and MapReduce parallelization based on K-means algorithm. Taking the obtained logistics data as the analysis object, preprocess it and get the results based on cloud clustering mining. The experimental results show that the parallel mining analysis method is 179.2% slower than the traditional mining analysis method in dataset data1, 60.4% slower in dataset data2, and 2.8% faster in dataset data1. The intelligent analysis method of logistics information based on cloud clustering mining has good scalability and speedup ratio. Conclusion. Applying cloud mining to logistics information analysis and realizing the intelligent analysis of logistics information has great advantages, and can well meet the content and efficiency needs of logistics information analysis stakeholders.

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Section: Logical Architecturementioning

confidence: 99%

Intelligent Analysis of Logistics Information Based on Dynamic Network Data

Yang

2022

Journal of Control Science and Engineering

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“…On the other hand, unmanned aerial vehicle oblique photography (UAVOP) has become prevalent in various fields [24][25][26] because of its advantages of timeliness, flexibility, and relatively low overall cost [27,28], enabling relatively accurate representation of model texture features and the acquisition of spatial 3D data [29]. Correspondingly, the research on the applications of UAVOP technology in tailings ponds and mines has drawn significant attention as well [30][31][32][33][34][35][36]. For instance, Wang et al [31] presented a multidisciplinary approach combining UAV photogrammetry and a smoothed particle hydrodynamics (SPH) numerical method to model potential tailings dam breach overland flow, demonstrating that high-precision DSM data from UAVOP could enhance the accuracy of such simulations.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Wang et al [31] presented a multidisciplinary approach combining UAV photogrammetry and a smoothed particle hydrodynamics (SPH) numerical method to model potential tailings dam breach overland flow, demonstrating that high-precision DSM data from UAVOP could enhance the accuracy of such simulations. Melton et al [34] used a UAV-photogrammetrically derived point cloud to estimate volume and area of tailing stockpiles and further detected possible distribution changes of Pb contamination in and around the city of Cerro de Pasco, Peru using a spectral angle mapper. Zhang et al [36] presented a comprehensive approach for tailings pond risk identification using UAV oblique photography and an integrated space-sky-earth system, with the aim of using UAV 3D images for the observation of surface details of tailings ponds.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Storage Capacity Change and Dam Failure Risk for Tailings Ponds Using WebGIS-Based UAV 3D Image

Zhi,

Zhu,

Jang

et al. 2023

Sustainability

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Tailings ponds, essential components of mining operations worldwide, present considerable potential hazards downstream in the event of tailings dam failures. In recent years, instances of tailings dam failures, carrying potential environmental safety hazards, have occasionally occurred on a global scale due to the limited technical approaches available for safety supervision of tailings ponds. In this study, an innovative WebGIS-based unmanned aerial vehicle oblique photography (UAVOP) method was developed to analyze the storage capacity change and dam failure risk of tailings ponds. Its applicability was then validated by deploying it at a tailings pond in Yunfu City, Guangdong Province, China. The results showed that the outcomes of two phases of real-scene 3D images met the specified accuracy requirements with an RSME of 0.147–0.188 m in the plane and 0.198–0.201 m along the elevation. The storage capacities of phase I and phase II tailings ponds were measured at 204,798.63 m3 and 148,291.27 m3, respectively, with a storage capacity change of 56,031.51 m3. Moreover, the minimum flood control dam widths, minimum free heights, and dam slope ratios of the tailings pond were determined to comply with the flood control requirements, indicating a low risk of dam failure of the tailings pond. This pilot case study demonstrated the performance of the UAVOP in evaluating storage capacity change and dam failure risk for tailings ponds. It not only enhanced the efficiency of dynamic safety supervision of tailings ponds but also offered valuable references for globally analogous research endeavors.

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“…Peru is one of the countries with the highest environmental lead contamination in the world, due to intense mining activity (3, 6). It has affected the inhabitants of Junín and Pasco for decades, located at more than 3000 m above sea level in the central Andes of Peru [ 6 , 7 ]. Moreover, these regions do not have the infrastructure to implement gold standard methodologies for the measurement of blood lead levels (BLL), such as Graphite Furnace Atomic Absorption Spectrometry (GF-AAS) or Spectrometry Plasma Mass Analysis (ICP-MS) [ 3 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Leadcare® II Comparison with Graphite Furnace Atomic Absorption Spectrophotometry for Blood Lead Measurement in Peruvian Highlands

et al. 2022

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Peru is one of the countries with the highest lead contamination in the world. Biological monitoring has limitations due to the shortage of laboratories with validated methodologies for the measurement of blood lead, and it is necessary to use alternative methods for its measurement in high-altitude cities. We aimed to compare the blood lead levels (BLL) measured by the LeadCare II (LC) method and Graphite Furnace Atomic Absorption Spectrometry (GF-AAS). We measured the BLL of 108 children from the city of La Oroya. The mean and median BLL for GF-AAS were 10.77 ± 4.18 and 10.44 µg/dL, respectively; for the LC method, the mean was 11.71 ± 4.28 and the median was 11.60 µg/dL. We found a positive linear correlation (Rho = 0.923) between both methods. Notwithstanding, the Wilcoxon test suggests a significant difference between both methods (ρ = 0.000). In addition, the Bland–Altman analysis indicates that there is a positive bias (0.94) in the LC method, and this method tends to overestimate the BLL. Likewise, we performed a generalized linear model to evaluate the influence of age and hemoglobin on BLL. We found that age and hemoglobin had a significant influence on BLL measured by the LC method. Finally, we used two non-parametric linear regression methods (Deming and Passing-Bablok regression) to compare the LC method with the GF-AAS. We found that these methods differ by at least a constant amount, and there would be a proportional difference between both. Although in general there is a positive linear correlation, the results of both methods differ significantly. Therefore, its use in cities located at high altitudes (higher than 2440 m.a.s.l.) would not be recommended.

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Temporal multispectral and 3D analysis of Cerro de Pasco, Peru

Cited by 4 publications

References 22 publications

Intelligent Analysis of Logistics Information Based on Dynamic Network Data

Intelligent Analysis of Logistics Information Based on Dynamic Network Data

Analysis of Storage Capacity Change and Dam Failure Risk for Tailings Ponds Using WebGIS-Based UAV 3D Image

Leadcare® II Comparison with Graphite Furnace Atomic Absorption Spectrophotometry for Blood Lead Measurement in Peruvian Highlands

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