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Study on the identification of arsenic exposure areas by 10% sampling method
conference contribution
posted on 2018-02-12, 15:08 authored by Sun Guifan, Oluwafemi Odendiran, Liu JiayiObjective of this work is to study the representation of 10% sampling method in identifying the areas with high arsenic
concentration. Water arsenic concentration was high due to arsenicosis in all the pump wells in 31 villages from Shanxi
and Inner Mongolia regions. The actual exposed high arsenic rate (Q) was calculated. All the wells of the village were
marked on the village map, and then each village was divided into 5 parts (east, south, west, north and the center). 10%
of the wells were sampled randomly from each of the five parts of the village, which has got more than 50 wells. For the
villages with less than 50 wells, one well was sampled randomly from each of the five parts. All the wells were selected from
the village which has got less than 5 wells. 10% sample exposed high arsenic rate (R) was calculated. The relationship
between Q and R was analyzed. Given the exposed high arsenic rate is not less than 5% there is no significant difference
between R and Q. On the contrary, if the actual exposed high arsenic rate was below 5%, R could not represent Q. The
10% sampling method can be perfectly used for detecting high arsenic areas when the actual rate exposed to high arsenic
wells is below 5%.
History
School
- Architecture, Building and Civil Engineering
Research Unit
- Water, Engineering and Development Centre (WEDC)
Published in
WEDC ConferenceCitation
GUIFAN, S. ... et al, 2004. Study on the identification of arsenic exposure areas by 10% sampling method. IN: Godfrey, S. (ed). People-centred approaches to water and environmental sanitation: Proceedings of the 30th WEDC International Conference, Vientiane, Laos, 25-29 October 2004, pp. 566-569.Publisher
© WEDC, Loughborough UniversityVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2004Notes
This is a conference paper.Other identifier
WEDC_ID:11262Language
- en
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