Use of a Simple GIS-Based Model in Mapping the Atmospheric Concentration of γ-HCH in Europe

نویسندگان

  • Pilar Vizcaino
  • Alberto Pistocchi
چکیده

The state-of-the-art of atmospheric contaminant transport modeling provides accurate estimation of chemical concentrations. However, existing complex models, sophisticated in terms of process description and potentially highly accurate, may entail expensive setups and require very detailed input data. In contexts where detailed predictions are not needed (e.g., for regulatory risk assessment or life cycle impact assessment of chemicals), simple models allowing quick evaluation of contaminants may be preferable. The goal of this paper is to illustrate and critically discuss the use of a simple equation proposed by Pistocchi and Galmarini (2010), which can be implemented through basic GIS functions, to predict atmospheric concentrations of lindane (γ-HCH) in Europe from both local and remote sources. Concentrations were computed for 1995 and 2005 assuming different modes of use of lindane and consequently different spatial patterns of emissions. Results were compared with those from the well-established MSCE-POP model (2005) developed within EMEP (European Monitoring and Evaluation Programme), and with available monitoring data, showing acceptable correspondence in terms of the orders of magnitude and spatial distribution of concentrations, especially when the background effect of emissions from extracontinental sources, estimated using the same equation, is added to European emissions.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A GIS-based weights-of-evidence model for mineral potential mapping of hydrothermal gold deposits in Torbat-e-Heydarieh area

The method of weights of evidence is one of the most important data driven methods for mineral potential mapping in GIS. In this method, considering the characteristics of known mineralized locations, we can prospect new mineralized areas. In this research work, the method of weights of evidence has been used for hydrothermal gold potential mapping in Torbat-e-Heydarieh area, east of Iran. As a...

متن کامل

O-4: Association of Y Chromosome Microdeletion with Spermatogenic Impairment and Infertility in Human Males with High Concentration of Seminal Hexachlorocyclohexane (HC)

Background: The Y chromosome microdeletion is one of the best-documented causes of male infertility but the factors responsible for Y chromosome microdeletions in spermatozoa remain unresolved. However, the environmental pollutants are known to damage DNA in differentiating and maturing germ cells in the male reproductive tract. In view of this, the objective of the present study was to explore...

متن کامل

A GIS-based comparative study of the analytic hierarchy process, bivariate statistics and frequency ratio methods for landslide susceptibility mapping in part of the Tehran metropolis, Iran

The high hillsides of the Tehran metropolis are prone to landslides due to the climatic conditions and the geological, geomorphologicalcharacteristics of the region. Therefore, it is vitally important that a landslide susceptibility map of the region be prepared. For thispurpose, thematic layers including landslide inventory, lithology, slope, aspect, curvature, distance to stream, distance to ...

متن کامل

Soil erosion and sediment mapping in Aidoghmoush watershed appling MPSIAC model and GIS and RS technologies

Soil erosion is one of the important and worldwide environmental and economic issues. High amount of sediments accumulations behind the different structures such as dams requires several attempts to minimize their potential risks. Therefore, some quantified data will be needed in order to recognize those critical areas which requires urgent conservation. Since conventional procedures are time c...

متن کامل

Integrated Artificial Neural Network Modeling and GIS for Identification of Important Factor on Groundwater Hydrochemistry (Fe-,Ca2+ and PO4-3)

Background & Aims of the Study: Groundwater resources are a crucial component of the ecosystem. Management and cleanup of contamination from groundwater resources requires a long term strategy and a huge amount of investments. Artificial neural networks (ANN) and Geographic Information System (GIS) can be useful in determining management strategies. To protect these valuable resourc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014