Impact Analysis and Sampling Design in the Pollution Monitoring Process of the Aznalcollar Accident Using Geostatistical Methods

نویسندگان

  • C. Franco
  • J. Delgado
  • A. Soares
چکیده

On the morning of the 25 of April 1998, an accidental spill of the waste damp basin of the Aznalcóllar mine (Seville, SW Spain) occurred. The basin, containing mud and acid waters, suffered a rupture spilling 4 hm of acid waters and 2 hm of acid mud directly into the Agrio and Guadiamar rivers. This accidental spill spread to an area of about 49 km and they had very important ecological consequences due to those rivers are the basic water resource of the Doñana National Park aquifer (located 60km downstream the mine) that was declared as Biosphere Reserve by UNESCO in 1994. Remediation actions were taken immediately in order to protect the population health and agriculture and minimize the ecological impact in the Park. Once the primary remediation actions were applied, it was very important to characterize the residual contamination distribution patterns and to obtain environmental hazards maps in which areas with high heavy metals concentration (Cu, Pb, Zn, Cd and As) can be identified. This paper presents the most important results of the geostatistical treatment of this data. The basic objectives of this treatment were to establish the impact analysis of the contaminant (environmental hazards maps) using the direct cosimulation technique and remediation levels that defines if a certain zone can be considered as contaminated or clean and the design of a new sampling schema that would be applied in future sampling campaigns and planning the optimum sampling for the next campaigns. * Corresponding author.

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

Modeling spatial distribution of Tehran air pollutants using geostatistical methods incorporate uncertainty maps

The estimation of pollution fields, especially in densely populated areas, is an important application in the field of environmental science due to the significant effects of air pollution on public health. In this paper, we investigate the spatial distribution of three air pollutants in Tehran’s atmosphere: carbon monoxide (CO), nitrogen dioxide (NO2), and atmospheric particulate matters less ...

متن کامل

Evaluation of soil pollution sources using multivariate analysis combined with geostatistical methods in Zanjan Basin, Iran

The increase of heavy metals concentration in soils is potentially threatening the environment and human health. In this paper, multivariate analysis methods such as Positive Matrix Factorization (PMF), Principal Component Analysis (PCA) and Cluster Analysis (CA) combined with geostatistical method were employed to identify the potential sources of soil pollution. A collection of 103 samples we...

متن کامل

Modeling spatial distribution of Tehran air pollutants using geostatistical methods incorporate uncertainty maps

The estimation of pollution fields, especially in densely populated areas, is an important application in the field of environmental science due to the significant effects of air pollution on public health. In this paper, we investigate the spatial distribution of three air pollutants in Tehran’s atmosphere: carbon monoxide (CO), nitrogen dioxide (NO2), and atmospheric particulate matters less ...

متن کامل

Geostatistical Analysis of Soil Pb and Cd Distribution Using Environmental Indexes in the Southwest of Isfahan in 2017

Background and objective: Soil contamination and accumulation of heavy metals in soil and agricultural products is one of the most important environmental that threatens the life of plants, animals and humans. This research was conducted to investigate the geo-statistical analysis of Pb and Cd distributed in the southwest of Isfahan using environmental indexes in 2017. Methods: This study is a ...

متن کامل

Optimal Grondwater Monitoring Network Design for Pollution Plume Estimation with Active Sources

A new methodology has been developed to design optimal monitoring network to estimate the transient pollution plume resulting from active pollution sources in a contaminated aquifer. An optimization algorithm is linked with geostatistical kriging model as well as a numerical simulation model. Simulated annealing is used as the optimization tool. The physical process in the aquifer, i.e., the fl...

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 2004