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AquaTRAIN Marie Curie
AquaTRAIN Marie Curie Research Training Network on Geogenic Chemicals in Groundwaters and Soils
AquaTRAIN is a Marie Curie Research Training Network established specifically to develop a better understanding of the behaviour and environmental impact, including human health, of geogenic elements, in groundwater and soils in the European Union. The AquaTRAIN research training network integrates leading centres in Europe active in soil/water systems research within a coherent framework of dedicated young researchers through a joint innovative research programme focused on the cycling of chemicals between soil/sediment and water, and the implications for environmental protection, remediation and management. JRC hosted 3 post graduated students:Claudia Cascio |
AquaTRAIN Marie Curie Research Training Network on Geogenic Chemicals in Groundwaters and Soils
Arsenic distribution map of Cambodia |
Arsenic in shallow groundwaters extensively utilized for drinking, irrigation and/cooking in many parts of the world, including Cambodia, represents a major environmental hazard . The goal of this work is to develop a spatial model to estimate As concentration in groundwater in Cambodia and hence predict areas of high As (Arsenic) hazard as tool to inform the development of adequate measurements to reduce risks to human health. In the framework of the Marie-Curie Network AQUATRAIN, the JRC Institute for Environment and Sustainability (IES) has completed a new full assessment for the distribution of arsenic in groundwater and soils in Cambodia. This exercise is part of the wider programme for the mapping of the distribuition of geochemicals in soils and waters on a global scale as part of the future Global Soil Information System (GLOSIS) of the JRC. Click on the image in order to get the JPEG Image. |
Data Mining
The As (Arsenic) database built up analyses carried out by Polya et al. (2005) during the period 2002-2005. It consists of 571 geo-referenced measurements of total As concentrations (ppb) in water of wells. The statistical analyses were performed on the log-transformed As values to account for normality of the data. A number of auxiliary variables, in the form of raster maps, were also compiled for the entire study area and their values were extracted for each single observation. The auxiliary raster maps that we considered were: Elevations derived from the 90m SRTM DEM; Slope; Topographic wetness index; Hydrologic Flux Length; convergence index; Five images obtained by Principal Component Analysis of the Normalized Difference Vegetation Index (NDVI) derived the MODIS sensor at 250m resolution for the period Jan 2000 - Dec 2001; Rasterized map of permanent water bodies, intermittent flooded areas and dry lands. All these auxiliary variables were converted to 12 principal components that were finally used to build a multiple regression equation describing the As content in groundwater.
Conclusions
The study revealed that there is a strong correlation between topographic environmental variables and the content of As in groundwater.
Related Links
- Download Poster: Modelling Arsenic Hazard in Groundwater in Cambodia: a Geostatistical Approach using Ancillary Data
AquaTRAIN newsletter
Welcome to the AquaTRAIN newsletter. This will be a quarterly publication for circulation to members and associates of the AquaTRAIN research network. It is intended to be a useful and interesting source of information on the work of AquaTRAIN, and related projects. It should also be a way of sharing experiences related both to research and to the mobility aspect of the network.
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