The impact measure of solid waste management on health: the hazard index

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Ann Ist Super Sanità 2010 | Vol. 46, No. 3: 293-298        293
                                                                                          DOI: 10.4415/ANN_10_03_12

                                The impact measure of solid waste

                                                                                                                                       Environmental Issues of Health Concern
                            management on health: the hazard index
                                        Loredana Musmeci, Mirella Bellino, Maria Rita Cicero, Fabrizio Falleni,
                                                                         Augusta Piccardi and Stefania Trinca
               Dipartimento di Ambiente e Connessa Prevenzione Primaria, Istituto Superiore di Sanità, Rome, Italy

             Summary. The risk associated with waste exposure depends on the level of emissions arising from
             waste disposal and from the effects of these emissions on human health (dose-reponse). In 2007 an epi-
             demiological study was conducted in two Italian provinces of the Campania Region, namely Naples
             and Caserta, with the aim of assessing the health effects deriving from exposure to waste. In these
             studies, the important aspect is the population exposure assessment, in relation to the different types
             of waste disposal. The Regional Agency for Environmental Protection (ARPA Campania) has identi-
             fied and characterized the various authorized/unauthorized dumping sites in the provinces of Naples
             and Caserta. Most of the waste disposals used are illegal and invisible (sunken or buried); thus, the
             toxic substances therein contained are unknown and difficult to identify. In order to locate the possible
             areas exposed to a higher waste-related health risk, a synthetical “hazard index” (at the municipality
             level) was designed. By means of GIS, the number of waste impact areas was identified for each of
             the 196 municipalities in the two provinces; then, Census data (ISTAT 2001) was used to estimate the
             proportion of the population living in the impact areas. The synthetical hazard index at municipality
             level accounts for three elements: a) the intrinsic characterization of the waste disposal, determining
             the way in which the pollutant is released; b) the impact area of the dumping site (within 1 km radius),
             same areas are influenced by more than one site; c) the density of the population living in the “impact
             area” surrounding the waste disposal site.
             Key words: waste disposal, environmental exposure, risk assessment, hazard index.

             Riassunto (La misura di impatto della gestione dei rifiuti solidi sulla salute: l’indice di pericolo). Il rischio
             correlato all’esposizione a rifiuti dipende dal livello di emissioni, provenienti dai siti di smaltimento e
             dagli effetti di tali emissioni sulla salute umana (dose-risposta). Nel 2007 è stato realizzato uno studio
             epidemiologico di mortalità nelle due province di Napoli e Caserta (Regione Campania) con lo scopo di
             valutare gli effetti sanitari, derivanti dall’esposizione a rifiuti. In questo tipo di studio, un aspetto impor-
             tante è la stima dell’esposizione della popolazione in relazione alle diverse tipologie di siti di smaltimento
             presenti sul territorio, è stato pertanto elaborato un “indice di pericolo” sintetico (a livello comunale) allo
             scopo di localizzare nei 196 comuni delle province di Napoli e Caserta le possibili aree esposte a rischio
             sanitario da rifiuti. Nel caso specifico, i siti di smaltimento censiti dall’ARPA Campania, sia di tipo au-
             torizzato, sia illegale, di diverse dimensione e contenenti composizioni di rifiuti di varia natura sono stati
             classificati in base alla loro potenziale pericolosità. Per mezzo del GIS, per ciascuno dei 196 comuni è
             stato individuato il numero di aree di impatto attribuibili ai siti presenti e, usando i dati del Censimento
             ISTAT (2001), è stata stimata la percentuale di popolazione residente nelle aree di impatto. “L’indice di
             pericolo” a livello comunale è stato determinato sulla base di tre elementi: le caratteristiche intrinseche
             del sito di smaltimento; l’area di impatto del sito di smaltimento (entro 1 km di raggio); la densità della
             popolazione residente in ciascuna area di impatto.
             Parole chiave: smaltimento rifiuti, esposizione ambientale, valutazione del rischio, indice di pericolo.

  INTRODUCTION
  In recent decades several studies have reported the           human health. In addition if the waste disposals are
effects of waste exposure on health. A wide range               illegal they are likely to contain highly hazardous
of toxic substances can be released into the environ-           compounds resulting from industrial activities (e.g.
ment from waste disposal sites, for example, meth-              nuclear discharges, asbestos, lead).
ane, carbon dioxide, benzene and cadmium. Many                     Two main health outcomes have been found to be
of these pollutants have been shown to be toxic for             statistically associated with waste exposure: cancer

 Address for correspondence: Loredana Musmeci, Dipartimento di Ambiente e Connessa Prevenzione Primaria, Istituto
 Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy. E-mail: loredana.musmeci@iss.it.
294   Loredana Musmeci, Mirella Bellino, Maria Rita Cicero, et al.

                                               and congenital malformations. Hazardous waste has              nature and dimensions, sometimes very close to
Environmental Issues of Health Concern

                                               been shown to influence the likelihood of develop-             each other, in an area characterized by either a
                                               ing lung, brain cancer, bladder and lung cancer [1, 2]         high or very high population density. Therefore,
                                               living close to a waste disposal site is also associated       our choice criterion was to select population liv-
                                               with a significant increase in congenital anomalies.           ing really close to the sites, according to a common
                                                 As of late, Campania, a Region of Southern Italy,            epidemiological approach to high-risk groups. As a
                                               has been a scene of controversy concerning waste               result, an area 1 km in range around each site has
                                               disposal and treatment. Resident people and health             been chosen since it ensures an adequate statistical
                                               authorities are more and more worried, while a                 power.
                                               heavy demand for new plants is in progress. Indeed,              Outcomes from the above analysis, performed on
                                               the regional administration is dealing with a rear-            all 196 municipalities in the Provinces of Naples and
                                               rangement of the waste-disposal system following               Caserta, represented a basis for recent epidemiologi-
                                               recent emergencies. Moreover, the regional terri-              cal studies [7, 8] in order to assess adverse effects of
                                               tory houses some areas which have to be reclaimed              the presence waste on the environment and resident
                                               as requested by a ministerial decree; precisely, in            population.
                                               Agro Aversano and along Domitia-Flegrea seacoast                 The impact chain starts when waste enters the
                                               various sites of uncontrolled waste-abandonment                landfill or is abandoned illegally in the soil or in
                                               have been identified and assessed by the Campania              the water. Depending on the intrinsic quality of
                                               Region’s Environmental Protection Agency (ARPA                 the waste and on the density of the population
                                               Campania) [3, 4]; many of them contain hazardous               in the surrounding area, hazardous emission will
                                               industrial substances. Here the spreading of unau-             be released into the environment affecting human
                                               thorized dumping sites has started in the ‘80s and             health. According to previous studies in Campania,
                                               goes on.                                                       the health risk due to environmental hazards aris-
                                                 So one important issue in environmental matters              ing from waste exposure is confined to the two
                                               is waste disposal. Accordingly it is desirable to start        provinces of Naples and Caserta, where most of
                                               assessing possible consequences from population                the illegal dumping sites are located. The dumping
                                               exposure to emissions from unauthorized dumping                sites in Naples and Caserta differ in dimension and
                                               sites and plants for disposal and treatment of urban           composition. In addition, most of these waste dis-
                                               solid waste and hazardous substances.                          posals are illegal and not visible (sunken or buried)
                                                 A working group including World Health organi-               thus the toxic substances that the disposals contain
                                               zation (WHO), National Research Council (CNR),                 are not known and are difficult to identify. In order
                                               Istituto Superiore di Sanità (ISS), Department of              to map the possible areas exposed to a higher waste
                                               Civil Protection (DCP), Campania Regional epi-                 related health risk, a synthetical hazard index (HI)
                                               demiologic Observatory (OER) and Campania                      was developed.
                                               Region’s Environmental Protection Agency (ARPA
                                               Campania) has been assigned the task of check-
                                               ing whether and how waste treatment in Campania                  METHODS
                                               could have adverse effects on environment and                    The analysis of influence of polluting sources on
                                               public health. Its work has partly dealt with epi-             the territory and people has been organized into the
                                               demiological investigations on mortality and con-              following steps.
                                               genital anomalies in municipalities belonging to
                                               the Provinces of Naples and Caserta. At the same                 Characterization of waste disposal
                                               time, risk and exposure assessment relative to the               and abandonment sources and assignment
                                               presence of storage, treatment, illegal disposal and             of a hazard index (HI) to sites
                                               dumping sites of hazardous and urban waste has                   On the basis of the data regarding waste disposal
                                               been worked out by implementing data dating back               plants and unauthorised dumping grounds (from
                                               to the period 1997-2003 and coming from various                1997 to 2003) [3, 4], and after a thorough validation
                                               administrations in a dedicated geo-database, so to             of the georeferenciation process, 140 sites were cho-
                                               extract “synthetical descriptive indexes” measuring            sen in the province of Caserta and 86 in the province
                                               position-variability of such sites and of their poten-         of Naples.
                                               tial health impact.                                              Selected sites have been further classified accord-
                                                 The described approach has been used in many                 ing to their hazard level (HI hazard index) taking
                                               geographical-epidemiological studies on health ef-             into account site nature (dumping and storage sites,
                                               fects deriving from the presence of waste; it con-             slagheaps, submerged waste, uncontrolled waste
                                               sists in evaluating population exposure on the basis           abandonment, etc.), legal status (authorized or non-
                                               of their distance from landfills. Recent specialized           authorized sites), waste volume and nature, and pol-
                                               literature suggests that the range of influence con-           lutant emission-mode (Figure 1).
                                               sidered varies from 2 to 4 km [2, 5, 6]. But these               The assignment criterion rested mainly upon envi-
                                               studies are about dumping sites containing either              ronmental impact on water, air and soil of storage-
                                               hazardous or special large-sized waste. We rather              treatment-disposal-abandonment fashion concern-
                                               aim to analyze an ensemble of sites, diversified in            ing hazardous and urban waste.
Hazard index in waste management            295

  According to the above-mentioned criteria, Table 1                 Identification and characterization

                                                                                                                                         Environmental Issues of Health Concern
shows the HI for various types of waste disposal/treat-              of the environmental impact areas and
ment and/or abandonment.                                             assignment of a composite hazard index (CHI)
                                                                    By means of ArcGIS software-platform [9, 10],
                                                                  customized through Python and Avenue program-
 Table 1 | Hazard indexes (HI) for various waste disposal/        ming languages, a territorial analysis has been per-
 treatment and/or abandonment typologies                          formed in terms of sites and municipalities.
                                                                    Site-analysis has identified and characterized
 TYPE                                                    HI
                                                                  sources, calculating their fallout “areas” (buffer
 Submerged waste (lakes)                             4        A   strips of 1 km from sites). On the other hand, anal-
 Slagheaps                                           3        B
                                                                  ysis on a municipality-scale needs an identification
                                                                  and characterization of areas influenced by more
 Hazardous waste storage and disposal                3        B   than one site, so as to avoid counting population
 Abandonment of metal drums                          3        B   living in one area more than one time; at the same
                                                                  time, a specific coefficient is needed to describe glo-
 Pit slagheaps containing hazardous waste            2        B
                                                                  bal danger to them. Therefore, a script has been
 2 class – type B dumping sites
  nd
                                                     2        C   worked out to pass from “fallout areas” to “envi-
 (special/industrial waste)                                       ronmental impact areas”.
 Car wrecking and scrapping plants                   1        D     Selecting a buffer strip 1 km in range around any
                                                                  potential polluting source, fallout areas have been
 Plants for electric and electronic waste reclaim    1        D
                                                                  identified. These latter have been assigned HIs from
 Temporary storage of non-hazardous waste            1        D   corresponding sites; then, each area influenced by
 Plants for chemical-physical treatment of waste     1        D   more than one site has been attributed a multi-code
                                                                  (CHI) consisting in a series HIs from single sources
 Non-hazardous waste reclaim                         1        D
                                                                  lying in the examined area (Figure 2).
 Plants for treatment (storage) of special waste     1        D
                                                                    Computation of a municipal hazard index (MHI)
 Special waste incineration and oil reclaim plants   1        D
                                                                    A potential hazard index (PHI, numeric param-
 Uncontrolled RSU dumping sites                      1        E   eter) has been associated with each CHI (alpha-nu-
 Pit large-volume (> 10 000 cc)                                   meric parameter)1; this way a classification of haz-
                                                     1        E
 non-hazardous slagheaps                                          ard values was made. Consequently, if impact-area
 Large-volume (> 10 000 cc)                                       types and surfaces (S) are known for each munici-
                                                     1        E   pality, then a municipal hazard index (MHI) can be
 non-hazardous slagheaps
                                                                  derived.
 Controlled RSU dumping sites –
                                                     1        F     As a result, the following function has been imple-
 authorized inert-waste dumping sites
                                                                  mented:
 Composting plants                                   1        F
                                                                        n
 Plants for refuse-derived-fuel (RDF) selection                   MHI = ∑ Si x PHIi
                                                     1        F
 and production                                                        i=1
 Refluent-water depuration plants                    1        F
                                                                   n being the number of impact areas in the munici-
 Industrial slagheaps                                1        F   pality under examination.

                                                                     Computation of population living
  The grade consists of an alpha-numeric code                        in each impact area to assess risk from exposure
where the number increases with hazard and the                      Then a further hazard index has been introduced,
letter goes A to F at the decreasing of it (A =                   taking into account information about the distribution
max hazard; F = min hazard). In a few words, the                  of potentially exposed population; at this aim, popula-
number identifies danger magnitude, while the                     tion falling in each impact area have been computed,
letter is a multiplication factor related to waste                extracting them from ISTAT 2001 census tracts.
intrinsic dangerousness.                                            Analysis steps follow:
  Precisely:                                                        - c omputation of population density in census tracts:
  A: potential hazardous or very hazardous sub-                      population density in each tract has been obtained
      merged waste                                                    dividing resident people by tract surface;
  B: hazardous waste                                                - intersection of census tracts and impact areas: the
  C: potential hazardous emissions from indus-                       two layers have been intersected, so deriving new
     trial special waste
  D: potential hazardous emissions from non-
      hazardous waste
  E: uncontrolled non-hazardous waste                             1
                                                                   In each CHI, frequencies of numbers and letters have been as-
  F: controlled non-hazardous waste.                              signed different statistical weights.
296   Loredana Musmeci, Mirella Bellino, Maria Rita Cicero, et al.

                                                                                                                          polygons. This way attributes associated with the
Environmental Issues of Health Concern

                                                                                                                          two layers have been spatially combined as well;
                                                                                                                       - computation of people living in polygons of the new
                                                                                                       4A
                                                                                                                          layer: population falling in each new polygon has
                                                                                                                          been computed by multiplying population density
                                                                                                       3B                 by polygon surface.
                                                                                                       2B
                                                                                                       2C               omputation of a synthetical waste
                                                                                                                       C
                                                                                                       1D              risk index (SWRI)
                                                                                                       1E
                                                                                                       1F              A synthetical-waste risk index (SWRI) has been
                                                                                                                     derived multiplying surfaces of impact areas falling
                                                                                                                     in a specific municipality by their PHIs and popula-
                                                                                                                     tion living in each area (E) and then summing over
                                                                                                                     the number n of areas included in the municipality
                                                                                                                     under examination:
                                                                                                                            n
                                                                                                                     SWRI = ∑  Si x PHIi x EPi
                                                                                                                           i=1

                                                                                                                       RESULTS
                                                                                                                       So far our approach has allowed us to describe
                                                                                                                     geographical distribution of waste disposal sites in
                                                                                                                     terms of their PHIs, in order to identify and char-
                                                Fig. 1 | Characterization of waste disposal and assignment of a      acterize, by means of GIS, those areas apt to waste
                                                hazard index (HI) to sites.
                                                                                                                     contamination, which gather between inshore mu-

                                                Fig. 2 | Identification of environmental-impact areas and assignment of hazard index (HI).
Hazard index in waste management                 297

                                                                                                                                                           Environmental Issues of Health Concern
            Potential hazard indicator (PHI)                    Synthetic waste risk indicator

    –0.5 - –0.4                                   –0.5 - –0.4
    –0.4 - –0.3                                   –0.4 - –0.3
    –0.3 - –0.2                                   –0.3 - –0.2
    –0.2 - –0.1                                   –0.2 - –0.1
    –0.1 - 0                                      –0.1 - 0
    0 - 0.1                                       0 - 0.1
    0.1 - 0.2                                     0.1 - 0.2
    0.2 - 0.3                                     0.2 - 0.3
    0.3 - 0.4                                     0.3 - 0.4
    0.4 - 0.5                                     0.4 - 0.5
    0.5 - 1                                       0.5 - 1                                                Fig. 3 | Potential hazard index
    1-5                                           1-5
    5 - 10                                        5 - 10                                                 (PHI) and synthetical waste
                                                                                                         risk index (SWRI).

nicipalities and those falling north-east of Naples.                         characterized by high-risk impact areas, which rep-
Mapping of impact areas (Figure 3) by means of                               resent top targets for reclamation procedures and
their CHIs has enabled us to select those zones ly-                          further analytical epidemiological studies.
ing in the two Provinces, which are under waste                                So far, only population living in impact areas around
pressure most [11].                                                          potential polluted sites (computed by means of popu-
  A SWRI has been computed for each of the 196 mu-                           lation density of census tracts) have been taken into
nicipalities under examination, thinking of resident                         account as a possible target, but, as a second step, fur-
population as a target of contamination. As shown by                         ther environmental and territorial factors (hydrologi-
the geographical distribution of SWRIs, municipali-                          cal data, soil exploitation, socioeconomic conditions,
ties on the border between the Provinces of Caserta                          etc.) are going to be included into the computation of
and Naples and those lying along the Tyrrhenian                              SWRI.
coast are exposed to risk most. According to epidemi-                          Geographical distribution of SWRIs is consist-
ological studies, high mortality by cancer and frequent                      ent with outcomes from epidemiological studies per-
congenital anomalies are typical of such areas as well                       formed so far. Anyway, many other factors (extensive
[12]. A correlation study is in progress in order to as-                     agriculture, industrial activities, socioeconomic condi-
sess connection among SWRI, mortality rates from                             tions, high population density, health conditions) in-
specific causes and congenital anomalies.                                    fluence this territory from an environmental point of
                                                                             view and have to examined in the context of a multi-
                                                                             variate analysis.
  CONCLUSIONS
  The goal of this analysis was trying to give geo-
graphical-epidemiological studies a contribution,                            Conflict of interest statement
using waste-disposal data collected in Campania to                           There are no potential conflicts of interest or any financial or per-
derive an exposure index based not only on distance                          sonal relationships with other people or organizations that could
from dumping sites, but also on characterization of                          inappropriately bias conduct and findings of this study.
neighbouring areas depending on territorial signifi-
cant elements, as allowed by GIS features.
  As a first result, some municipalities along the                           Submitted on invitation.
coast and north of Naples have been shown to be                              Accepted on 22 April 2010.

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