Identification of Fugitive Dust Generation, Transport, and Deposition Areas Using Remote Sensing

2003 ◽  
Vol 9 (2) ◽  
pp. 151-165 ◽  
Author(s):  
W. L. STEFANOV
Keyword(s):  
Remote Sensing ◽  
Fugitive Dust ◽  
Dust Generation

scholarly journals Development of Emission Factor Equations for Surface Mining Activities: The Case of the Stacker

2021 ◽  
Vol 5 (1) ◽  
pp. 15
Author(s):  
Athanasios Triantafyllou ◽  
Ioannis Kapageridis ◽  
Stylianos Gkaras ◽  
Francis Pavloudakis
Keyword(s):  
Emission Factor ◽  
Surface Mining ◽  
Mining Activities ◽  
Fugitive Dust ◽  
Mining Operations ◽  
Basic Step ◽  
Surface Mines ◽  
Dust Generation ◽  
Moving Vehicles ◽  
Individual Source

In surface mines, various activities (e.g., excavations, loading and unloading of material, moving vehicles on unpaved haul roads, etc.) represent significant sources of fugitive dust. The estimation of dust generation from each individual source is a basic step in planning and implementation decision-making systems regarding the air quality of the surrounding area. Typically, this can be obtained by using emission factor or prediction-type equations. A detailed study was carried out at four surface lignite mines to determine PM emission factors and to develop the prediction-type equations of various surface mining activities. In this work, the data, method and results referring to the stacker, one of and the significant fugitive dust emissions source in mining operations are presented and analyzed.

Quantifying the contribution of wetlands drying to aerosol generation across Iran

2021 ◽  
Author(s):  
Majid Bayati ◽  
Nooshdokht Bayat-Afshary ◽  
Mohammad Danesh-Yazdi
Keyword(s):  
Remote Sensing ◽  
Water Body ◽  
Flood Control ◽  
Soil Stabilization ◽  
Economic Benefits ◽  
Google Earth ◽  
Dust Storms ◽  
Dust Generation ◽  
Natural Treatment ◽  
Wide Range

<p>Wetlands are accounted as important providers of ecosystem services, which yield several functionalities such as the support of biodiversity, flood control, soil stabilization to reduce dust generation, natural treatment of surface waters, groundwater replenishment, climate regulation and economic benefits. Over the past decades, the impacts of anthropogenic manipulations amplified by climatic changes have threatened both the quantity and quality of wetlands, worldwide. A continuous monitoring of wetlands is thus necessary to protect them from further destruction, as well as to devise and assess the success of any rehabilitation plans. The conventional methods of water body monitoring chiefly include field surveying, which is time consuming, costly, and limited in extent. Alternatively, remotely sensed data have facilitated a much less expensive and more extensive monitoring of water bodies over a wide range of spatiotemporal resolutions. In this study, we implemented a learning-based classification framework fed by remote sensing data to evaluate the historical trends of the most important wetlands across Iran using the Google Earth Engine cloud computing platform. To this end, we used Landsat imagery between 2000 and 2020 to extract the water body of wetlands in dry seasons to consider the most critical condition. We also examined different spectral indices to identify the best combination giving the largest classification accuracy for each wetland, separately, based on their distinct conditions of water depth and vegetation cover. We then quantified the contribution of wetlands drying to the generation of dust storms via a frequency-intensity index given the annual number of dusty days and the Aerosol Optical Depth (AOD) provided by MODIS. According to the results, the majority of the studied wetlands show significant descending trends with the average loss of 31% in surface area. The aerosol analysis also witnesses the expansion of dust generation sources around most of the retreated wetlands, particularly in those years when the wetlands areas were smaller than the long-term average. The above observations point out a potential threat for the agricultural activities and highlight serious consequences for the health of nearby urban and rural residents.</p><p><strong>Keywords: </strong>Wetland, Dust Storm, Remote Sensing, Environmental Monitoring, Ecosystem Protection</p>

scholarly journals Blockchain-Based Network Concept Model for Reliable and Accessible Fine Dust Management System at Construction Sites

2021 ◽  
Vol 11 (18) ◽  
pp. 8686
Author(s):  
Seungwon Cho ◽  
Muhammad Khan ◽  
Jaeho Pyeon ◽  
Chansik Park
Keyword(s):  
Network Architecture ◽  
Fine Dust ◽  
Fugitive Dust ◽  
Construction Sites ◽  
Concept Model ◽  
Open Platform ◽  
Dust Generation ◽  
Search Tool ◽  
Government Inspection ◽  
Dust Reduction

In total, 44.3% of particle matter 10 (PM10) is fugitive dust, and one of the main sources of fugitive dust generation in Korea is construction work (22%). Construction sites account for 84% of the total business places that have reported fugitive dust generation. Currently, the concentration of fine dust at construction sites is being remotely monitored by government inspection agencies through IoT sensors, but it is difficult to trust that appropriate fine dust reduction measures are being taken, because contractors can avoid taking these measures by submitting false reports or photos. In addition, since the fine dust monitoring system under government management is not an open platform and centralized system, residents near construction sites encounter difficulties in accessing information about fine dust. Therefore, in this study, we designed and constructed a blockchain network model to transparently and reliably provide network participants with the information associated with IoT data and fine dust reduction measures. To operate the blockchain network, we designed the chaincode, DApp, and network architecture. In addition, information on fine dust concentration and reduction measure photos were shared with the participants via the blockchain search tool (Hyperledger Explorer). The proposed blockchain network is expected to form a trust protocol among contractors, government inspection agencies, and citizens.

A Novel Method to Quantify Fugitive Dust Emissions Using Optical Remote Sensing

2008 ◽  
pp. 143-154 ◽  
Author(s):  
Ravi M. Varma ◽  
Ram A. Hashmonay ◽  
Ke Du ◽  
Mark J. Rood ◽  
Byung J. Kim ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Optical Remote Sensing ◽  
Fugitive Dust ◽  
Dust Emissions ◽  
Novel Method

Dust Generation within the Vicinity of Malmberget Mine, Sweden

2011 ◽  
Vol 90-93 ◽  
pp. 752-759 ◽  
Author(s):  
Jia Qi ◽  
Al Ansari Nadhir ◽  
Sven Knutsson
Keyword(s):  
Dust Control ◽  
Open Pit ◽  
Mining Activities ◽  
Fugitive Dust ◽  
Mining Site ◽  
Dust Generation ◽  
Long Time ◽  
Center Area ◽  
Industrial Center ◽  
Peak Value

Mining activities are usually associated with environmental impacts, particularly that of air pollution by fugitive dust. Malmberget mine is one of the most important iron mines in Sweden and the dust problem has been noticed by the inhabitants for a long time. Dust collectors had been installed to measure the dust fallout around the mining site. In this research the dust fallout recorded during the period August 2006 till July 2010 were analyzed. Generally speaking the amount of dust fallout was decreasing year by year due to some implemented dust control methods. Mining activities produced more dust during summer than winter. The peak value was 265g/100m2/30d appeared in May 2007, and the lowest dust fallout was 25g/100m2/30d happened in August 2009. Dust was determined to be originated from the open pit area and the industrial center area. Truck transportation on the haul roads, wind erosion of stockpiles and exposed areas were the main activities that caused dust generation.

Phased Arrays for Radio Astronomy, Remote Sensing, and Satellite Communications

2018 ◽  
Author(s):  
Karl F. Warnick ◽  
Rob Maaskant ◽  
Marianna V. Ivashina ◽  
David B. Davidson ◽  
Brian D. Jeffs
Keyword(s):  
Remote Sensing ◽  
Radio Astronomy ◽  
Phased Arrays ◽  
Satellite Communications
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