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               <dc:title>Anàlisi de dades de potabilització d’aigua per estimar el risc  microbiològic de l’aigua potable</dc:title>
               <dc:creator>Aguilera Moncunill, Ester</dc:creator>
               <dc:subject>Drinking water -- Analysis</dc:subject>
               <dc:subject>Aigua potable -- Anàlisi</dc:subject>
               <dc:subject>Aigua potable -- Depuració</dc:subject>
               <dc:subject>Drinking water -- Purification</dc:subject>
               <dc:subject>Quantitative  Microbiological Risk Assessment</dc:subject>
               <dc:subject>Algorismes</dc:subject>
               <dc:subject>Algorithms</dc:subject>
               <dc:subject>Aigua -- Plantes de tractament</dc:subject>
               <dc:subject>Water treatment plants</dc:subject>
               <dc:description>Outbreaks of waterborne diseases still are a public health problem in the 21st century, &#xd;
especially on developing countries, but also in developed countries. &#xd;
Drinking Water Treatment Plants (DWTP) are in charge of guaranteeing that tap water &#xd;
has a good quality (in terms of both microbiological and physicochemical aspects), so &#xd;
that,  among  other  things,  they  minimize  the  risk  of  suffering  an  infectious  disease. &#xd;
Nevertheless,  perturbations  during  the  treatment  process,  extreme  meteorological &#xd;
conditions or tap water pollution during its distribution can trigger microbiological risk &#xd;
and can provoke epidemic outbreaks. &#xd;
To quantify microbiological risk QMRA (Quantitative Microbiological Risk Assessment) &#xd;
methodology can be applied. QMRA is a four steps methodology that explores several &#xd;
aspects as:  type of pathogenic microorganisms, inlet water characteristics,  treatment &#xd;
operation, epidemiological data, etc. &#xd;
In the present report microbiological risk of tap water treated by DWTP Ter is analyzed &#xd;
according to the QMRA methodology. &#xd;
First of all, a classification algorithm has been developed to estimate the microbiological &#xd;
concentration  on  the  DWTP  inlet  by  using  different  environmental  conditions  daily &#xd;
monitored. The algorithm has been developed using big volumes of data (daily data from &#xd;
historical series of 20 years), and for this reason it was necessary to use Data Mining &#xd;
tools. &#xd;
Finally, estimated microbiological concentrations have been used to calculate one of the &#xd;
most  common  metrics  used  for  quantifying  microbiological  risk:  DALY  (Disability &#xd;
Adjusted  Life  Years).  This  metric  has  been  calculated  following  the  WHO’s  and &#xd;
Microrisk’s  manuals  directrices.  DALY  has  allowed  to  quantify  the  risk  in  a  range  of &#xd;
values and has allowed to visualize under which conditions a dangerous situation could &#xd;
arise. &#xd;
Microbiological risk calculus for tap water treated in DWTP Ter has been resulted to be &#xd;
low in most of the cases, but some scenarios where the risk would overcome the WHO’s &#xd;
limit have been detected. Special focus should be paid on these scenarios, where water &#xd;
treatment should be more accurate</dc:description>
               <dc:date>2024-05-22T11:28:58Z</dc:date>
               <dc:date>2024-05-22T11:28:58Z</dc:date>
               <dc:date>2021-06-01</dc:date>
               <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
               <dc:identifier>http://hdl.handle.net/10256/20510</dc:identifier>
               <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:coverage>east=2.3598732; north=41.6196472; name=ATL ETAP Ter Cardedeu</dc:coverage>
               <dc:source>Ciències Ambientals (TFG)</dc:source>
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