PREAS

Predicting the arsenic content in groundwater of the floodplains in SE Asia

 Coordinatore Geological Survey of Denmark and Greenland 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Denmark [DK]
 Totale costo 1˙619˙932 €
 EC contributo 1˙619˙932 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-ADG
 Funding Scheme ERC-AG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-01-01   -   2017-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    "Hanoi University of Science, Vietnam National University Hanoi"

 Organization address address: Nguyen Trai 334
city: Hanoi

contact info
Titolo: Dr.
Nome: Trang Thi Kim
Cognome: Pham
Email: send email
Telefono: +84 438587964

VN (Hanoi) beneficiary 304˙384.00
2    Geological Survey of Denmark and Greenland

 Organization address address: Oster Voldgade 10 10
city: COPENHAGEN
postcode: 1350

contact info
Titolo: Dr.
Nome: Diederik Jan
Cognome: Postma
Email: send email
Telefono: 4538142784
Fax: 4530273702

DK (COPENHAGEN) hostInstitution 1˙315˙548.20
3    Geological Survey of Denmark and Greenland

 Organization address address: Oster Voldgade 10 10
city: COPENHAGEN
postcode: 1350

contact info
Titolo: Dr.
Nome: Flemming
Cognome: Larsen
Email: send email
Telefono: +45 38142000

DK (COPENHAGEN) hostInstitution 1˙315˙548.20

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

people    sediments    groundwater    sediment    chemistry    model    burial    release    hydrogeological    river    aquifer    geological    content    arsenic    last    years    water    red    age    comprise    time    reveal    contaminated    evolution    mechanisms    sedimentological   

 Obiettivo del progetto (Objective)

'More than 100 million people living on the floodplains of the Ganges-Brahmaputra-Meghna, Mekong and Red River, all draining the Himalayas, are consuming arsenic contaminated water. Providing safe drinking water for these people requires a quantitative understanding of the processes regulating the groundwater arsenic content and this knowledge is presently not available. In PREDIAS we propose a revolutionary new approach to study these arsenic contaminated aquifers where sediments and groundwaters are considered as one reacting unit that is changing over time. The key hypothesis is that it is the aquifer sediment burial age that is the overall controlling parameter for the arsenic content. This new approach is explored by studying the groundwater chemistry as a function of sediment burial age, which is equivalent to the geological evolution over time, in part of the Red River floodplain in Vietnam. The investigations comprise delineating the sedimentological development over the last 9000 yrs as well as reconstructing hydrogeological conditions over that period. Process studies will reveal the effect of burial age on the chemical properties of the sediments and the arsenic release mechanisms. They comprise the binding and release mechanisms of arsenic to the aquifer sediment, and the reactivity of sedimentary organic carbon and iron oxides which drive the redox reactions controlling the water chemistry and arsenic mobilization. Information on the sedimentological and hydrogeological development over time as well as a quantification of the geochemical processes will be incorporated in a 3-D reactive transport model which over the last 9000 years, in steps of about 1000 years, can predict the evolution of the arsenic content over space and time in the groundwater of the studied area. The model can be extended in a more conceptual form to larger parts of the Red River delta and Bangladesh using satellite imaging to reveal the geological development in those areas.'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

NEUROCONSC (2010)

Converging Criteria for Consciousness: Using neuroimaging methods to characterize subliminal and conscious processing

Read More  

DYNCORSYS (2012)

Real-time dynamics of correlated many-body systems

Read More  

ZF-DELIVERY (2014)

ZF-Delivery

Read More