Assessment of foliar dust using Hyperion and Landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas

Kayet, Narayan; Pathak, Khanindra; Chakrabarty, Abhisek; Kumar, Sanjeev; Chowdary, V. M.; Singh, Chandra Prakash; Basumatary, Samrat

doi:10.1016/j.jclepro.2019.01.305

Cited by 46 publications

(8 citation statements)

References 51 publications

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“…Currently, the primary dust prevention measures include pre-infusion, dust suppressants, windproof net, water mist, ventilation, precipitator dust catcher, closed isolation dust and foam in industry. Open-space dust removal should not be used ventilation, closed isolation and so on (Kayet et al 2019). Water spraying is an appropriate alternative for various industrial processes from which fugitive dust is emitted (Luo et al 2016;Ma et al 2020;Seaman et al 2018;Xu et al 2019Xu et al , 2020.…”

Section: Introductionmentioning

confidence: 99%

Development of a portal-crane servo-spraying suppression system to reduce dust production at bulk cargo wharf

Wang

Huang

2021

Int J Syst Assur Eng Manag

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Bulk cargo is one of the main transportation cargos in China, and a large amount of dust is produced during the loading, unloading and transportation of the port. The generated dust, especially coal dust, will cause air pollution and resource loss, it can have adverse effects on stevedores' occupational health. Watering cart is usually used to dedusting at a bulk cargo wharf, but this method is not effective, such as untimely spraying and inadequate spraying. In order to effectively solve the problem of dust pollution at the bulk cargo wharf, a specially dust suppression device is designed for portal crane operation to reduce dust production during the loading and unloading of bulk cargo. The properties of the dust suppression system were comprehensively studied through fluid principle analysis, mechanical performance tests and field tests. The experimental results of this study indicate that portal-crane servo-spraying dust suppression can ensure a synchronous dynamic dust source that can work with dust suppression sprinklers, keeping coal dust pollution in a charged state to produce effective dust suppression. The results showed that portal-crane servo-spraying system can make the comprehensive emission value of air pollutants less than 1.0 mg/ m 3 , and the dust suppression efficiency of the wharf front operation can reach over 90%, and the efficiency of the treatment of inhalable dust less than 10 lm reach over 96%, and the coal dust concentration emission at the operation site reach the standard. In summary, the dust suppression system prepared in this paper is suitable for bulk cargo wharf loading and unloading operations, which can achieve a good dust suppression effect and is beneficial to upgrade. The utilization efficiency of water resources has good promotion and application value.

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Section: Introductionmentioning

confidence: 99%

Development of a portal-crane servo-spraying suppression system to reduce dust production at bulk cargo wharf

Wang

Huang

2021

Int J Syst Assur Eng Manag

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“…Further, MSW, especially tailings, has a series of pollution to the atmosphere [8,9]. Iron ore is a very important class of mineral resources that plays an important role in socio-economic development [10]. However, its open pit iron ore resources, mainly including iron ore material from opencast mines and processing plants, etc., and its waste sludge, mainly from tailings, have serious social and ecological damage [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Iron ore is a very important class of mineral resources that plays an important role in socio-economic development [10]. However, its open pit iron ore resources, mainly including iron ore material from opencast mines and processing plants, etc., and its waste sludge, mainly from tailings, have serious social and ecological damage [10][11][12]. Therefore, strengthening the monitoring of opencast iron mine and mine solid waste (OIM-MSW) is of great significance to environmental cleanup.…”

Section: Introductionmentioning

confidence: 99%

Mapping Opencast Iron Mine and Mine Solid Waste Based on a New Spectral Index From Medium Spatial Resolution Satellite Data

Gao

Chen

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Opencast iron mine and mine solid waste (OIM-MSW) are closely associated with a wide range of environmental issues, such as destroying soil structure, affecting air quality, and damaging biodiversity. Therefore, accurately grasping the distribution of OIM-MSW is of great significance to monitoring and managing environmental conditions. In order to reduce the impact of background features on the identification of OIM-MSW, we constructed an index based on medium spatial resolution satellite data, and proposed a semi-automatic method to determine the threshold value of the index. Experimental results indicated that: (1) The proposed index (OIM-MSWI) can effectively identify the OIM-MSW of which the OA (overall accuracy) and K (kappa coefficient) value are 0.98 and 0.75, respectively. (2) The index owns satisfying performance in identifying OIM-MSW in different months, and its recognition ability in plant growing season is better than that in the non-plant growing season. (3) Both Landsat 8 images and Sentinel 2 images have the potential to identify OIM-MSW via the proposed index, but the recognition accuracy of Landsat 8 images (OA=0.98, K=0.75) is slightly better than Sentinel 2 images (OA=0.96, K=0.64). (4) OIM-MSWI is effective in different climatic conditions, with OA and K of 0.98, 0.75 and 0.97, 0.63 in the cases of semi-arid and humid zones, respectively. In conclusion, OIM-MSWI is a simple and effective index for identifying OIM-MSW, and can provide support for OIM-MSW monitoring and management.Index Terms-medium spatial resolution satellite data, opencast iron mine and mine solid waste, spectral index, spectral simulation.

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“…For example, dust distribution in the urban area of Beijing (China) was assessed using remote sensing and ground-based spectral data, and the dust source was identified based on the results [37]. Results of the research for an open cast mining area in India indicated that it is possible to use the normalized difference vegetation index (NDVI) for foliar dust estimation; Hyperion data gave better accuracy than Landsat (RMSE = 0.06 g/m 2 for Hyperion and RMSE = 0.11 g/m 2 for Landsat) [38]. The methods mentioned above have been proven to be accurate in dust estimation.…”

Section: Introductionmentioning

confidence: 99%

Study on Spectral Response and Estimation of Grassland Plants Dust Retention Based on Hyperspectral Data

et al. 2020

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Accurate monitoring of plant dust retention can provide a basis for dust pollution control and environmental protection. The aims of this study were to analyze the spectral response features of grassland plants to mining dust and to predict the spatial distribution of dust retention using hyperspectral data. The dust retention content was determined by an electronic analytical balance and a leaf area meter. The leaf reflectance spectrum was measured by a handheld hyperspectral camera, and the airborne hyperspectral data were obtained using an imaging spectrometer. We analyzed the difference between the leaf spectral before and after dust removal. The sensitive spectra of dust retention on the leaf- and the canopy-scale were determined through two-dimensional correlation spectroscopy (2DCOS). The competitive adaptive reweighted sampling (CARS) algorithm was applied to select the feature bands of canopy dust retention. The estimation model of canopy dust retention was built through random forest regression (RFR), and the dust distribution map was obtained based on the airborne hyperspectral image. The results showed that dust retention enhanced the spectral reflectance of leaves in the visible wavelength but weakened the reflectance in the near-infrared wavelength. Caused by the canopy structure and multiple scattering, a slight difference in the sensitive spectra on dust retention existed between the canopy and leaves. Similarly, the sensitive spectra of leaves and the canopy were closely related to dust and plant physiological parameters. The estimation model constructed through 2DCOS-CARS-RFR showed higher precision, compared with genetic algorithm-random forest regression (GA-RFR) and simulated annealing algorithm-random forest regression (SAA-RFR). Spatially, the amount of canopy dust increased and then decreased with increasing distance from the mining area, reaching a maximum within 300–500 m. This study not only demonstrated the importance of extracting feature bands based on the response of plant physical and chemical parameters to dust, but also laid a foundation for the rapid and non-destructive monitoring of grassland plant dust retention.

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Assessment of foliar dust using Hyperion and Landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas

Cited by 46 publications

References 51 publications

Development of a portal-crane servo-spraying suppression system to reduce dust production at bulk cargo wharf

Development of a portal-crane servo-spraying suppression system to reduce dust production at bulk cargo wharf

Mapping Opencast Iron Mine and Mine Solid Waste Based on a New Spectral Index From Medium Spatial Resolution Satellite Data

Study on Spectral Response and Estimation of Grassland Plants Dust Retention Based on Hyperspectral Data

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