Page 69 - Contributed Paper Session (CPS) - Volume 7
P. 69

CPS2031 Javier Linkolk L. et al.



                          Self-organizing ensemble of LSTM to enhance
                         the air pollution estimation in Santiago of Chile
                                                                     3
                                            1,2
                                                                                   1
               Javier Linkolk López-Gonzales , Rodrigo Salas Fuentes , Cristian Ubal ,
                                                4
                                                                4
                                   Orietta Nicolis , Romina Torres
                     1 Facultad de Ciencias, Instituto de Estadística, Universidad de Valparaíso
                        2 Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión
                         3 Escuela de Ingeniería C. Biomédica, Universidad de Valparaíso
                              4 Facultad de Ingeniería, Universidad Andrés Bello

            Abstract
            In highly populated and / or industrialized cities, they are affected by high
            levels of pollutant concentration in the air, which seriously affects the health
            of their inhabitants. In this article we propose a new ensemble technique of
            Long-Short  Term  Memory  networks  based  on  self-organizing  maps  to
            enhance  the  estimation  if  PM2.5  concentration  in  urban  Santiago,  Chile.
            Simulation results with time series collected in one of the Station shows very
            promising results.

            Keywords
            Air  pollution;  Ensemble  of  Artificial  Neural  Networks;  Long-Short  Term
            Memory; Self-Organizing Maps

            1.  Introduction
                In recent years, the presence of haze has been frequent in the southern
            areas  of  Chile,  mainly  in  Santiago.  The  main  factor  of  air  pollution  is  fine
            particulate matter (PM2.5, PM 2.5μm in diameter). This was presented for the
            first time as an indicator for the ambient air quality standard by the American
            Environmental Protection Agency (EPA) in 1997 [1].
                It was detected that the surface of these particles is linked to several toxic
            products, such as organic compounds, elements and bacteria [2]. Because they
            are so small, they only micrometers in size, and it is easy for them to cross the
            respiratory system and enter the lung or even enter the blood, which can cause
            asthma,  respiratory  inflammation  and  cancer  [3].  Some  studies  reported
            correlations between PM2.5 and death ([4], [5], [6]). Taking into account the
            influence  of  PM2.5,  the  World  Health  Organization  recognized  PM2.5  as
            carcinogens for the first time in October 2013.
                In  this  sense,  improving  air  quality  is  one  of  the  major  environmental
            challenges  of  this  century  [7].  Many  cities  in  Latin  American  countries  are
            heavily polluted with PM2.5 and PM10, affecting human health and life quality.
            In  Chile's  capital,  the  Santiago  Metropolitan  Area  (SMA),  PM  2.5
            concentrations  systematically  exceed  values  defined  by  World  Health

                                                                56 | I S I   W S C   2 0 1 9
   64   65   66   67   68   69   70   71   72   73   74