4.4 Article

Persistence of radon-222 flux during monsoon at a geothermal zone in Nepal

Journal

JOURNAL OF ENVIRONMENTAL RADIOACTIVITY
Volume 100, Issue 11, Pages 955-964

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jenvrad.2009.07.004

Keywords

Radon-222 flux; CO(2) flux; Precipitation; Monsoon; Accumulation chamber method

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The Syabru-Bensi hydrothermal zone, Langtang region (Nepal), is characterized by high radon-222 and CO(2) discharge. Seasonal variations of gas fluxes were studied on a reference transect in a newly discovered gas discharge zone. Radon-222 and CO(2) fluxes were measured with the accumulation chamber technique, coupled with the scintillation flask method for radon. In the reference transect, fluxes reach exceptional mean values, as high as 8700 +/- 1500 g m(-2) d(-1) for CO(2) and 3400 +/- 100 x 10(-3) Bq m(-2) s(-1) for radon. Gases fluxes were measured in September 2007 during the monsoon and during the dry winter season, in December 2007 to January 2008 and in December 2008 to January 2009. Contrary to expectations, radon and its carrier gas fluxes were similar during both seasons. The integrated flux along this transect was approximately the same for radon, with a small increase of 11 +/- 4% during the wet season, whereas it was reduced by 38 +/- 5% during the monsoon for CO(2). In order to account for the persistence of the high gas emissions during monsoon, watering experiments have been performed at selected radon measurement points. After watering, radon flux decreased within 5 min by a factor of 2-7 depending on the point. Subsequently, it returned to its original value, firstly, by an initial partial recovery within 3-4 h, followed by a slow relaxation, lasting around 10 h and possibly superimposed by diurnal variations. Monsoon, in this part of the Himalayas, proceeds generally by brutal rainfall events separated by two- or three-day lapses. Thus, the recovery ability shown in the watering experiments accounts for the observed long-term persistence of gas discharge. This persistence is an important asset for long-term monitoring, for example to study possible temporal variations associated with stress accumulation and release. (c) 2009 Elsevier Ltd. All rights reserved.

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