کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6339640 | 1620377 | 2014 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Towards the methodological optimization of the moss bag technique in terms of contaminants concentrations and replicability values
ترجمه فارسی عنوان
در جهت بهینه سازی روش شناسی تکنیک کیسه یونجه با توجه به غلظت آلاینده ها و مقادیر تکرارپذیری
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
هماهنگی بیوموناتوری، ابزار محیط زیست، فلزات سنگین، کیفیت هوا، رسوبات جوی،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علم هواشناسی
چکیده انگلیسی
The moss bag technique is a simple and economical environmental monitoring tool used to monitor air quality. However, routine use of the method is not possible because the protocols involved have not yet been standardized. Some of the most variable methodological aspects include (i) selection of moss species, (ii) ratio of moss weight to surface area of the bag, (iii) duration of exposure, and (iv) height of exposure. In the present study, the best option for each of these aspects was selected on the basis of the mean concentrations and data replicability of Cd, Cu, Hg, Pb and Zn measured during at least two exposure periods in environments affected by different degrees of contamination. The optimal choices for the studied aspects were the following: (i) Sphagnum denticulatum, (ii) 5.68Â mg of moss tissue for each cmâ2 of bag surface, (iii) 8 weeks of exposure, and (iv) 4Â m height of exposure. Duration of exposure and height of exposure accounted for most of the variability in the data. The aim of this methodological study was to provide data to help establish a standardized protocol that will enable use of the moss bag technique by public authorities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Environment - Volume 94, September 2014, Pages 496-507
Journal: Atmospheric Environment - Volume 94, September 2014, Pages 496-507
نویسندگان
A. Ares, J.A. Fernández, A. Carballeira, J.R. Aboal,