scholarly journals A system for volumetric robotic mapping of abandoned mines

Author(s):  
S. Thrun ◽  
D. Hahnel ◽  
D. Ferguson ◽  
M. Montemerlo ◽  
R. Triebel ◽  
...  
Author(s):  
Christopher Baker ◽  
Zachary Omohundro ◽  
Scott Thayer ◽  
William Whittaker ◽  
Mike Montemerlo ◽  
...  

Author(s):  
Jong Hak Chung ◽  
Pock Soo Kang ◽  
Chang Yoon Kim ◽  
Kyung Soo Lee ◽  
Tae Yoon Hwang ◽  
...  

2018 ◽  
Vol 69 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Cristina Dinu ◽  
Eleonora Mihaela Ungureanu ◽  
Gabriela Geanina Vasile ◽  
Lidia Kim ◽  
Ioana Ionescu ◽  
...  

The soils situated near the abandoned mines are highly polluted with metals due to the discharge and dispersion of mine waste into nearby air, water (surface and groundwater) and soil. Heavy metals may be transferred to humans through ingestion, inhalation or dermal absorption and can produce serious health problems affect the nervous, endocrine and immune systems, hematopoietic function and cellular metabolism. This paper investigates the presence of metallic elements from fourteen soil samples (seven sampling points) and thirty-six vegetation samples (different types of leaves, plants, roots and tree barks). The samples were collected from six different sites located in an abandoned mining area and from a point (blank sample) located 5 km in the SV direction of the quarry. The results obtained for soil samples show an overrun of the alert and / or intervention threshold for the following metals: arsenic, cadmium, cobalt, copper, manganese, nickel, lead and zinc. The analytical investigation for vegetation samples indicated that concentration for calcium, magnesium, cadmium, chromium, manganese, nickel, lead, zinc were situated over the normal range in some samples. The analytical investigations were performed by optical emission spectrometry (ICP-OES). The study�s conclusion indicates that, as result of soil acidic pH and high mobility of some metals, metallic elements migrate from soil to vegetation.


2016 ◽  
Author(s):  
John Asafo-Akowuah ◽  
◽  
Virginia T. McLemore ◽  
Ashlynne Winton
Keyword(s):  

Resources ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 67
Author(s):  
Katarzyna Guzik ◽  
Krzysztof Galos ◽  
Alicja Kot-Niewiadomska ◽  
Toni Eerola ◽  
Pasi Eilu ◽  
...  

Major benefits and constraints related to mineral extraction within the EU have been identified on the examples of selected critical raw materials’ deposits. Analyzed case studies include the following ore deposits: Myszków Mo-W-Cu (Poland), Juomasuo Au-Co (Finland), S. Pedro das Águias W-Sn (Portugal), Penouta Nb-Ta-Sn (Spain), Norra Kärr REEs (Sweden) and Trælen graphite (Norway). They represent different stages of development, from the early/grassroot exploration stage, through advanced exploration and active mining, up to reopening of abandoned mines, and refer to different problems and constraints related to the possibility of exploitation commencement. The multi-criteria analysis of the cases has included geological and economic factors as well as environmental, land use, social acceptance and infrastructure factors. These factors, in terms of cost and benefit analysis, have been considered at three levels: local, country and EU levels. The analyzed cases indicated the major obstacles that occur in different stages of deposit development and need to be overcome in order to enable a new deposit exploitation commencement. These are environmental (Juomasuo and Myszków), spatial (Juomasuo) as well as social constraints (Norra Kärr, Juomasuo). In the analyzed cases, the most important constraints related to future deposit extraction occur primarily at a local level, while some important benefits are identified mainly at the country and the EU levels. These major benefits are related to securing long-term supplies for the national industries and strategically important EU industry sectors.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Haron M. Abdel-Raziq ◽  
Daniel M. Palmer ◽  
Phoebe A. Koenig ◽  
Alyosha C. Molnar ◽  
Kirstin H. Petersen

AbstractIn digital agriculture, large-scale data acquisition and analysis can improve farm management by allowing growers to constantly monitor the state of a field. Deploying large autonomous robot teams to navigate and monitor cluttered environments, however, is difficult and costly. Here, we present methods that would allow us to leverage managed colonies of honey bees equipped with miniature flight recorders to monitor orchard pollination activity. Tracking honey bee flights can inform estimates of crop pollination, allowing growers to improve yield and resource allocation. Honey bees are adept at maneuvering complex environments and collectively pool information about nectar and pollen sources through thousands of daily flights. Additionally, colonies are present in orchards before and during bloom for many crops, as growers often rent hives to ensure successful pollination. We characterize existing Angle-Sensitive Pixels (ASPs) for use in flight recorders and calculate memory and resolution trade-offs. We further integrate ASP data into a colony foraging simulator and show how large numbers of flights refine system accuracy, using methods from robotic mapping literature. Our results indicate promising potential for such agricultural monitoring, where we leverage the superiority of social insects to sense the physical world, while providing data acquisition on par with explicitly engineered systems.


2018 ◽  
Vol 53 (2) ◽  
pp. 214-224 ◽  
Author(s):  
Pedro Verga Matos ◽  
Eduardo Cardadeiro ◽  
Jose Amado da Silva ◽  
Cristiana Fernandes De Muylder

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