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The evaluation of air quality in Alb...
~
Lazo, Pranvera.
The evaluation of air quality in Albania by moss biomonitoring and metals atmospheric deposition
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The evaluation of air quality in Albania by moss biomonitoring and metals atmospheric depositionby Pranvera Lazo ... [et al.].
其他作者:
Lazo, Pranvera.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xxv, 113 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Air qualityEvaluation.Albania
電子資源:
https://doi.org/10.1007/978-3-030-62355-5
ISBN:
9783030623555$q(electronic bk.)
The evaluation of air quality in Albania by moss biomonitoring and metals atmospheric deposition
The evaluation of air quality in Albania by moss biomonitoring and metals atmospheric deposition
[electronic resource] /by Pranvera Lazo ... [et al.]. - Cham :Springer International Publishing :2021. - xxv, 113 p. :ill., digital ;24 cm. - SpringerBriefs in environmental science,2191-5547. - SpringerBriefs in environmental science..
Introduction -- Chapter 1. The methodology of the study -- Chapter 2. The evaluation of TM atmospheric deposition in Albania -- Chapter 3. Chalcophile (As, Cd, Cu, Hg, Ni, Pb, Zn) and Biophile (Cu, Mo, and V) micro elements -- Chapter 4. Elements sensitive to red/ox conditions (Cr, Co, Mo, U, V, Ni and Zn)
This book provides an overview of air quality in Albania evaluated by moss biomonitoring and metals atmospheric deposition. It is based on the concentration data onto 51 elements in moss samples collected during 2010/2011 moss biomonitoring survey conducted at the same time with European moss biomonitoring survey. The elements under investigation were determined by using ICP-AES and ENAA analytical techniques. Moss species Hypnum cupressiforme (Hedw) sps., a carpet-forming bryophyte, was used as bioindicator of trace metal atmospheric deposition. The goal of this study was to identify factors leading to the high levels of trace metals in at-mospheric deposition in Albania, to identify the risk factors and the origin of trace metals in atmos-pheric deposition. It may help the policy makers and regulators to take proper decisions to protect the public health and the environment. The distribution pattern of the elements was visualized by using the geographic information system, GIS 10.2. The predicted trends of the distribution were calculated by using time series (linear model) and the areas with high concentration of certain met-als were suggested for monitoring and to be under control.
ISBN: 9783030623555$q(electronic bk.)
Standard No.: 10.1007/978-3-030-62355-5doiSubjects--Topical Terms:
889993
Air quality
--Evaluation.--Albania
LC Class. No.: TD883.7.A38
Dewey Class. No.: 363.7063
The evaluation of air quality in Albania by moss biomonitoring and metals atmospheric deposition
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Introduction -- Chapter 1. The methodology of the study -- Chapter 2. The evaluation of TM atmospheric deposition in Albania -- Chapter 3. Chalcophile (As, Cd, Cu, Hg, Ni, Pb, Zn) and Biophile (Cu, Mo, and V) micro elements -- Chapter 4. Elements sensitive to red/ox conditions (Cr, Co, Mo, U, V, Ni and Zn)
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This book provides an overview of air quality in Albania evaluated by moss biomonitoring and metals atmospheric deposition. It is based on the concentration data onto 51 elements in moss samples collected during 2010/2011 moss biomonitoring survey conducted at the same time with European moss biomonitoring survey. The elements under investigation were determined by using ICP-AES and ENAA analytical techniques. Moss species Hypnum cupressiforme (Hedw) sps., a carpet-forming bryophyte, was used as bioindicator of trace metal atmospheric deposition. The goal of this study was to identify factors leading to the high levels of trace metals in at-mospheric deposition in Albania, to identify the risk factors and the origin of trace metals in atmos-pheric deposition. It may help the policy makers and regulators to take proper decisions to protect the public health and the environment. The distribution pattern of the elements was visualized by using the geographic information system, GIS 10.2. The predicted trends of the distribution were calculated by using time series (linear model) and the areas with high concentration of certain met-als were suggested for monitoring and to be under control.
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