THE TEMPORAL AND SPATIAL ANALYSIS OF TRANSPORT IMPACT ON TRACE ELEMENTS IN SNOW SAMPLES

2018 ◽  
Author(s):  
Jovita Pilecka
Keyword(s):  
Trace Elements ◽  
Spatial Analysis ◽  
Temporal And Spatial ◽  
Snow Samples

Risk areas for Human Visceral Leishmaniosis 2007–2018: A temporal and spatial analysis in Ceará, Brazil

2021 ◽  
Author(s):  
Kellyn Kessiene de Sousa Cavalcante ◽  
Jarier de Oliveira Moreno ◽  
Reagan Nzundu Boigny ◽  
Francisco Roger Aguiar Cavalcante ◽  
Caroline Mary Gurgel Dias Florêncio ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Risk Areas ◽  
Temporal And Spatial ◽  
Visceral Leishmaniosis

The open access usage advantage: a temporal and spatial analysis

2021 ◽  
Author(s):  
Guangyao Zhang ◽  
Yuqi Wang ◽  
Weixi Xie ◽  
Han Du ◽  
Chunlin Jiang ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Open Access ◽  
Temporal And Spatial

scholarly journals Source and origin of atmospheric trace elements entrapped in winter snow of the Italian Eastern Alps

2006 ◽  
Vol 6 (5) ◽  
pp. 8781-8815 ◽  
Author(s):  
P. Gabrielli ◽  
G. Cozzi ◽  
S. Torcini ◽  
P. Cescon ◽  
C. Barbante
Keyword(s):  
Boundary Layer ◽  
Trace Elements ◽  
Mass Spectrometer ◽  
Inductively Coupled Plasma ◽  
Major Ions ◽  
Eastern Alps ◽  
Field Mass ◽  
Inductively Coupled ◽  
Winter Snow ◽  
Snow Samples

Abstract. Trace elements concentrations were determined in shallow snow samples from 21 sites in the Italian Eastern Alps in order to identify the sources of the contaminants present in the tropospheric winter boundary layer. The collection of superficial snow layers was carried out weekly at altitudes between 1000 and 3000 m next to meteorological stations, far away from villages, roads and ski slopes. Ultra clean procedures were adopted in order to avoid contamination of the snow during the different experimental phases. Trace elements (Ag, Ba, Bi, Cd, Co, Cr, Cu, Fe, Mo, Mn, Pb, Sb, Ti, U, V and Zn) were determined by Inductively Coupled Plasma Sector Field Mass Spectrometer (ICP-SFMS). Ancillary parameters such as major ions (SO42−, NO3−, Ca2+;, Mg2+, K

Temporal and spatial assessment of pollen, radionuclides, minerals and trace elements in deposited dust within Kuwait

2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Ali M. Al-Dousari ◽  
Abdulaziz Aba ◽  
Safaa Al-Awadhi ◽  
Modi Ahmed ◽  
Noor Al-Dousari
Keyword(s):  
Trace Elements ◽  
Spatial Assessment ◽  
Temporal And Spatial ◽  
Minerals And Trace Elements

Analysis of Tugboat Activities using AIS Data for the Tianjin Port

2020 ◽  
Vol 2674 (5) ◽  
pp. 498-509
Author(s):  
Shukai Chen ◽  
Feng Wang ◽  
Xiaoyang Wei ◽  
Zhijia Tan ◽  
Hua Wang
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Service Time ◽  
Automatic Identification ◽  
Identification System ◽  
Crucial Importance ◽  
Two Stage ◽  
Temporal And Spatial ◽  
Shed Light

The tugboat is the vessel that helps to maneuver large ships for berthing and un-berthing operations. To achieve efficient tugboat operations, investigating the features of tugboat activities is of crucial importance. This study aims to use automatic identification system (AIS) data to identify the maneuver services and analyze the characteristics of tugboat activities. A two-stage algorithm is developed to extract the time, locations, and involved tugboats for berthing and un-berthing operations from AIS data. The AIS data from Tianjin port, China, are used in the case study to demonstrate the effectiveness of the proposed method and analyze the pattern of tugboat activities. First, some important features of tugboat jobs are presented, such as the daily number of jobs and the spatial distribution of jobs. Then, a temporal and spatial analysis is conducted to investigate tugboat assignment, service time, tugboat utilization, and locations of berthing and un-berthing operations. The obtained results and implications could shed light on the deployment of tugboat berths, tugboat scheduling, and evaluation of tugboat fleet operation.

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