SEGH Articles

Tellus Border: Initial findings of a geo-environmental survey of the border region of Ireland

01 March 2013
The Tellus Border project is an EU INTERREG IVA-funded mapping project that involved baseline geochemical and geophysical surveys in the border region of Ireland, and the integration of data from these with existing data collected in Northern Ireland.

The Tellus Border project is an EU INTERREG IVA-funded mapping project that involves baseline geochemical and geophysical surveys in the border region of Ireland, and the integration of data from these with existing data collected in Northern Ireland. The Geological Survey of Ireland (GSI), Queen’s University Belfast and Dundalk Institute of Technology are partners in the cross-border initiative, which is led by the Geological Survey of Northern Ireland.

After the successful completion of an airborne geophysical survey and a multi-element geochemical survey in summer 2012, the three-year project is now in a data interpretation and mapping phase.  As part of the geochemical survey, over 21,000 samples of soil, stream water, sediment and vegetation were collected over an area spanning 12,300 km2 at an average density of 1 site per 4 km2.  Stream sediment, water and topsoil samples have now been analysed for a range of inorganic elements. The data will be of assistance to the agricultural sector in the assessment of soil trace elements, to environmental managers in the assessment of potentially harmful elements in the environment and to the mineral exploration community. Geochemical data will be released free-of-charge via www.tellusborder.eu in the months ahead; regional geochemical and geophysical maps are currently available to view online.

Flying nearly 60,000 line kilometers, the airborne survey aircraft collected data from three on-board instruments (magnetometer, electromagnetic system and gamma ray detector) while flying at a low altitude of 60m above ground level. The data is already being used for the improvement of geological mapping, the assessment of radon hazard, detection of landfill pollution plumes and the identification of areas for deep geothermal potential. The airborne survey data has revealed extraordinary new detail to regional geological features which extend throughout the border region. New understanding of subsurface structures such as faults and igneous dykes is already helping to improve and update the Geological Survey of Ireland’s existing geological maps, which support sustainable planning countrywide.

A conference will be held in October 2013 to present the full findings from the survey and accompanying academic research projects. To register for notifications for upcoming data releases, please email your details to tellusborder@gsi.ie.

 

Mairead Glennon, Kate Knights (kate.knights@gsi.ie) and Ray Scanlon, Geological Survey of Ireland, Dublin.

27th February 2013

 

Keep up to date

SEGH Events

Submit Content

Members can keep in touch with their colleagues through short news and events articles of interest to the SEGH community.

Science in the News

Latest on-line papers from the SEGH journal: Environmental Geochemistry and Health

  • Characteristics of PM 2.5 , CO 2 and particle-number concentration in mass transit railway carriages in Hong Kong 2017-08-01

    Abstract

    Fine particulate matter (PM2.5) levels, carbon dioxide (CO2) levels and particle-number concentrations (PNC) were monitored in train carriages on seven routes of the mass transit railway in Hong Kong between March and May 2014, using real-time monitoring instruments. The 8-h average PM2.5 levels in carriages on the seven routes ranged from 24.1 to 49.8 µg/m3, higher than levels in Finland and similar to those in New York, and in most cases exceeding the standard set by the World Health Organisation (25 µg/m3). The CO2 concentration ranged from 714 to 1801 ppm on four of the routes, generally exceeding indoor air quality guidelines (1000 ppm over 8 h) and reaching levels as high as those in Beijing. PNC ranged from 1506 to 11,570 particles/cm3, lower than readings in Sydney and higher than readings in Taipei. Correlation analysis indicated that the number of passengers in a given carriage did not affect the PM2.5 concentration or PNC in the carriage. However, a significant positive correlation (p < 0.001, R 2 = 0.834) was observed between passenger numbers and CO2 levels, with each passenger contributing approximately 7.7–9.8 ppm of CO2. The real-time measurements of PM2.5 and PNC varied considerably, rising when carriage doors opened on arrival at a station and when passengers inside the carriage were more active. This suggests that air pollutants outside the train and passenger movements may contribute to PM2.5 levels and PNC. Assessment of the risk associated with PM2.5 exposure revealed that children are most severely affected by PM2.5 pollution, followed in order by juveniles, adults and the elderly. In addition, females were found to be more vulnerable to PM2.5 pollution than males (p < 0.001), and different subway lines were associated with different levels of risk.

  • Comparison of chemical compositions in air particulate matter during summer and winter in Beijing, China 2017-08-01

    Abstract

    The development of industry in Beijing, the capital of China, particularly in last decades, has caused severe environmental pollution including particulate matter (PM), dust–haze, and photochemical smog, which has already caused considerable harm to local ecological environment. Thus, in this study, air particle samples were continuously collected in August and December, 2014. And elements (Si, Al, V, Cr, Mn, Fe, Ni, Cu, Zn, Mo, Cd, Ba, Pb and Ti) and ions ( \({\text{NO}}_{3}^{-}\) , \({\text{SO}}_{4}^{2-}\) , F, Cl, Na+, K+, Mg2+, Ca2+ and \({\text{NH}}_{4}^{+}\) ) were analyzed by inductively coupled plasma mass spectrometer and ion chromatography. According to seasonal changes, discuss the various pollution situations in order to find possible particulate matter sources and then propose appropriate control strategies to local government. The results indicated serious PM and metallic pollution in some sampling days, especially in December. Chemical Mass Balance model revealed central heating activities, road dust and vehicles contribute as main sources, account for 5.84–32.05 % differently to the summer and winter air pollution in 2014.

  • Annual ambient atmospheric mercury speciation measurement from Longjing, a rural site in Taiwan 2017-08-01

    Abstract

    The main purpose of this study was to monitor ambient air particulates and mercury species [RGM, Hg(p), GEM and total mercury] concentrations and dry depositions over rural area at Longjing in central Taiwan during October 2014 to September 2015. In addition, passive air sampler and knife-edge surrogate surface samplers were used to collect the ambient air mercury species concentrations and dry depositions, respectively, in this study. Moreover, direct mercury analyzer was directly used to detect the mercury Hg(p) and RGM concentrations. The result indicated that: (1) The average highest RGM, Hg(p), GEM and total mercury concentrations, and dry depositions were observed in January, prevailing dust storm occurred in winter season was the possible major reason responsible for the above findings. (2) The highest average RGM, Hg(p), GEM and total mercury concentrations, dry depositions and velocities were occurred in winter. This is because that China is the largest atmospheric mercury (Hg) emitter in the world. Its Hg emissions and environmental impacts need to be evaluated. (3) The results indicated that the total mercury ratios of Kaohsiung to that of this study were 5.61. This is because that Kaohsiung has the largest industry density (~60 %) in Taiwan. (4) the USA showed average lower mercury species concentrations when compared to those of the other world countries. The average ratios of China/USA values were 89, 76 and 160 for total mercury, RGM and Hg(p), respectively, during the years of 2000–2012.