Report on most relevant types and amounts of solid waste

“Programme for supporting up-scaled mitigation action in
Peru´s solid waste management sector”
- Programme Solid Waste NAMA – Peru -
Report on most relevant types and amounts
of solid waste
Lima, 20.12.2013
Página 1
Programme Solid Waste NAMA – Peru
Report on most relevant types and amounts of solid waste
Note: This document has been approved in terms of its technical aspects, but do not
necessarily represent the official point of view of the Directorate General of Environmental
Quality of MINAM.
Programme Solid Waste NAMA – Peru
Report on most relevant types and amounts of solid waste
Content
1.
INTRODUCTION ......................................................................................................................5
2.
OBJECTIVES OF THE REPORT ..........................................................................................6
3.
IDENTIFICATION OF URBAN CONGLOMERATES ..........................................................7
3.1
Criteria for conglomerates identification.............................................................................7
3.2
Analysis of current situation .................................................................................................8
4.
PRESENTATION OF THE URBAN CONGLOMERATES ...............................................16
5.
CONCLUSIONS AND NEXT STEPS ..................................................................................23
Página 3
List of Tables
Table 1: Criteria for urban conglomerates identification .................................................................. 7
Table 2: Identified urban conglomerates ....................................................................................... 18
Table 3: Districts considered to be part of the identified conglomerates ........................................ 19
List of Illustrations
Illustration 1: Distribution of Macro Regions defined in the National Urban Development Plan
.............................................................................................................................................. 9
Illustration 2: Population ranges taken in the National Plan of Urban Development in the
Macro Region North ............................................................................................................. 10
Illustration 3: Population ranges taken from the National Plan of Urban Development in the
Macro Region South ............................................................................................................ 11
Illustration 4: Population Ranges taken in the National Plan of Urban Development in the
Macro Region Center and Lima ........................................................................................... 12
Illustration 5: Population Ranges taken in the National Plan of Urban Development n the
Macro Region Orient ............................................................................................................ 13
Illustration 6: Road proyects by 2013 in Peru ....................................................................... 15
Illustration 7: Location of the pre-selected conurban cities conglomerates ........................... 17
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1. INTRODUCTION
The Nordic Partnership Initiative on Up-scaled Mitigation Action (NPI) and the Government of
Peru have agreed to develop a Pilot Programme for the construction of appropriate favorable
frameworks for a NAMA (Nationally Appropriate Mitigation Actions) within the solid waste
sector in Peru, in order to attract international funds for mitigation actions.
For this purpose, supported by the Nordic Environment Finance Corporation (NEFCO) and
the Nordic working group for global climate negotiations (NOAK), the Peruvian Ministry of
Environment (MINAM) is executing the Programme “Solid Waste NAMA-Peru”, assisted
during the period from 2013 to 2015 by the consortium composed of NIRAS (Denmark),
Perspectives (Germany), ECO Consultorias e Ingenieria (Peru), Miranda & Amado
Abogados (Peru) and the Pontificia Universidad Catolica del Peru - PUCP (Peru).
This report constitutes the first product of “Task 1/2: Facilitation of Tier 3`s Emissions
Calculation and National GHG Inventory for solid waste”.
One of the products from prior task (Task 1/1) is the “Report: Diagnosis of Solid Waste in
Peru“, which includes the survey to the country´s municipalities and three characterization
studies, visits to disposal sites and other facilities, interviews with authorities and private
sector representatives. Furthermore, 98 solid waste characterization studies, 34 integrated
plan for solid waste environmental management (PIGARS) and 148 public investment
projects (PIP) were analyzed; as well as technical studies of solid waste management
projects and the consolidated data base of the Solid Waste Management Information
Systems (SIGERSOL), along with the National Municipal and Non-Municipal Solid Waste
Reports elaborated by the Ministry of Environment, among other available studies or
documents.
Such analyzed sources of information represent coverage of 81% of the urban population at
national level. The generation and composition data of Municipal Solid Waste (MSW)
extracted from those studies were included along with the population data in a matrix with the
1838 country´s districts, where the values were interpolated and weighed until obtaining
reliable figures for each of the districts by year 2012.
One of the main conclusions from the Diagnosis is that the majority of municipal solid waste
in the country is generated in Lima-Callao (41%) and 42% in the cities with more than 10,000
inhabitants outside Lima-Callao. From this, it can be deduced that the most relevant MSW
streams and amounts for GHG emission and mitigation come from the country´s
urban conglomerates. Therefore, the main target group for NAMA options is focused in
those urban conglomerates, in Lima-Callao as well as those located in the country´s regions,
which might offer more efficient or economy of scale projects regarding mitigation efforts.
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Current report shows a first definition of these urban conglomerates and their MSW
generation.
2. OBJECTIVES OF THE REPORT
The objectives of current report are as follows:
•
First definition of the most significant country´s urban conglomerates in terms of their
MSW generations and their potential for GHG mitigation.
•
Indicate the next necessary steps for a deeper analysis of those conglomerates,
which will constitute the base of the NAMA options definition.
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3. IDENTIFICATION OF URBAN CONGLOMERATES
The economic development of Peru is related to the geographic conditions, the sources of
natural resources and the physical interconnections with the bordering countries for raw
materials and value-added products streams in a multilateral sense. Based on this, the State
plans the land-use which additionally conditions the country´s environmental performance
through the impacts management generated by the housing development and
industrialization related to this occupancy.
.
Under these premises, it is evident that the country development presents strategic areas (or
urban conglomerates) which show a higher economical and physical growth compared to the
rest, which is evidenced in the local economic dynamic, the conglomeration of the cities, the
subsequent increase of services demand, and solid waste generation growth.
3.1
Criteria for conglomerates identification
Solid waste management in urban conglomerates and the impacts related to this should be
focused coherently with this development and the national planning. For that, the following
criteria were defined:
Table 1: Criteria for urban conglomerates identification
Criteria
Population
Solid waste
generation
Internal and
external
commercial
streams
International
transport
Description
Population growth conditions services demand. Conglomerated cities
concentrate a higher proportion of country´s urban population.
Solid waste generation is related to the size of the population, but it also
presents different dynamics and dimensions based on economic
inclinations (industry, commerce, markets, etc.) and the cities’
geographical conditions.
Infrastructures and even the cities’ inclinations for propitiating internal (of
Peru) and external (with the neighboring countries) economic flows are
important, not only due to population concentration and regional dynamic,
but as strategy for modeling the national reality as well.
The international economic streams and the interconnections with the rest
of the countries in a strategic way, generate conditions for the intervention
of the State in other sectors. In this sense, the development of the road
corridors proposed in the eastern Peru (from Pucallpa) to join western
Brazil (from Boqueirao Da Esperanza in Brazil) and enable a way towards
the Port of Paita, the Northern Interoceanical Railway Yurimaguas –
Iquitos project which will allow the connection with the north of Brazil; the
southern and central road corridors such as the interoceanical highway (in
its three sections) which will also facilitate Brazil’s way towards the Pacific
Ocean and also Bolivia (in the section from Juliaca – border with Bolivia)
and the highway that joins Tacna with Arica (Chile), among other
infrastructures and projects that enables to define conglomerated cities or
urban conglomerates upon which solid waste management with mitigation
approach will be encompassed.
As for these criteria, the map of prioritized projects and transport
infrastructure projects to be executed by year 2013 are shown later in a
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Criteria
National
Planning
Economic
Dynamic
Description
map.
There is a National Urban Development Plan published by the Ministry of
Household in 2006, which proposes 04 Macro-Regions (North, South,
Center and East).
On the other hand, there are studies performed by the Ministry of
Household on the Social Household in the country´s main cities in order to
organize the cities growth around housing demand on them. From this
planning, an organized development of the cities according to its industrial
development is attempted to maintain.
There is also a categorization of the cities carried out according to the
quantity of households (related to the extension, quantity of inhabitants) by
the Ministry of Economy and Finances, under the framework of the
Incentive Plan to Municipal Management Improvement which includes
solid waste management improvement through local planning of municipal
solid waste management and the recovery of solid waste in urban areas.
Each region has different potentialities that are articulated amongst them,
which are evident in the development of urban conglomerates. For that,
the commercial movement related to the quantity of commercial facilities
and markets by the generation of organic solid waste that they represent
have been considered.
Elaboration: Consultant team
3.2
Analysis of current situation
As for cities planning, the distribution of the 04 Macro-regions defined by the Ministry of
Household, Construction and Sanitation are shown here below.
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Illustration 1: Distribution of Macro Regions defined in the National Urban Development Plan
Source: Urban and Household Development Plan, Ministry of Household, Construction and Sanitation, 2012.
(Publication to be reviewed)
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As shown in the following illustration, the urban conglomerates with higher quantity of
population in the North Macro Region are Trujillo, Chiclayo and Piura, which at the same
time are showing an accelerated growth of the productive sectors that they develop. In these
cities, cross-border trade and industrial dynamic of Region Piura are more significant than for
the rest.
Illustration 2: Population ranges taken in the National Plan of Urban Development in the
Macro Region North
Source: Urban and Household Development Plan, Ministry of Household, Construction and Sanitation, 2012.
(Publication to be reviewed)
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As for the definition of the population sizes in the cities from the South Macro Region, it is
evidenced that the city of Arequipa is the most important. In the group, Puno – Julliaca also
shows relevance as bordering, commerce and strategic system due to their dynamics related
to the Lake Titicaca. In Tacna, there is an important condition due to the commercial
movement and strategic bordering positioning. As fourth conglomerate, Cusco highlights with
its touristic dynamic.
Illustration 3: Population ranges taken from the National Plan of Urban Development in the
Macro Region South
Source: Urban and Household Development Plan: Ministry of Household, Construction and Sanitation, 2012.
(Publication to be reviewed)
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Regarding Central Macro Region, Metropolitan Lima (including Callao) presents the condition
of a national metropolis, while Huancayo shows importance due to the quantity of population
and commercial movement as main large city.
Illustration 4: Population Ranges taken in the National Urban Development Plan in the
Central and Lima Macro Region
Source: Urban and Household Development Plan, Ministry of Household, Construction and Sanitation, 2012
(Publication to be reviewed)
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In the case of the East Macro Region, according to the National Urban and Household
Development Plan, the urban conglomerate with largest population proportion is Iquitos with
360,314 inhabitants, followed by Pucallpa with 270,780 inhabitants; both conglomerates are
regional capitals, qualified for current study as Main Large Cities.
Illustration 5: Population Ranges taken in the National Urban Development Plan in the East
Macro Region
Source: Urban and Household Development Plan, Ministry of Household, Construction and Sanitation, 2012
(Publication to be reviewed)
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As mentioned before, another aspect that defines the land-use and the economic dynamism
is the transport, the road projects planning for the year 2013 are presented below.
In the following map, it can be seen that there is confluence towards the northern part of
Peru from the southern east and northern east, with projects that foresee to connect the
eastern countries of South America with Asia through the ports of Paita and Ilo. In this sense,
the industrialization and cities conglomeration potential is reflected in the cities of Paita,
Sullana and Piura, currently evidenced by the closer distance between the cities of Piura and
Sullana, which at the same time are presented as conglomerates along with the urban cities
around them.
The south eastern side of Peru presents an important formal and informal commercial
dynamic, influenced by the road corridors that departs from Huancane and Desaguadero and
enables access to the sea through Arequipa and Moquegua respectively. It is also important
the commercial stream promoted in Tacna between Puno and Arica (in Chile), promoting the
development of service locally in the city of Tacna.
As for the East Peru, there is the Interoceanic Northern Railway Iquitos – Yurimaguas
project, which is in investment phase. This project will allow adding to Iquitos´s current
economic flow, the reduction of tangible prices generated by a lower cost of the freight.
Furthermore, the potential growth of the project for the interconnection with Brazil, which will
promote the potential of economic and physical growth of the city of Iquitos should be added.
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Illustration 6: Road projects by 2013 in Peru
Source: Ministry of Transport and Communications,
available at: https://www.mtc.gob.pe/portal/logypro/Proyectos%20programados%202013.pdf
Página 15
4. PRESENTATION OF THE URBAN CONGLOMERATES
As described before, there are potentialities focused on the cities (districts) with higher
municipal solid waste generation and conditions for a joined management, promoted by their
economic development, connectivity and relevance in the national planning.
In this stage of the investigation, there were pre-selected
•
122 districts, due to their closeness to the above mentioned urban conglomerates,
•
Grouped in 13 urban conglomerates
according to the proposed criteria.
Preliminarily, these conglomerates present conditions for the implementation of a NAMA
option, which are presented in the following map and table.
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Illustration 7: Location of the pre-selected conglomerated cities conglomerates
Elaboration: Consultant team
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Table 2: Identified urban conglomerates
Macro Regiones
Provincias
N° de
Distritos
Población
Generación de Residuos Sólidos
Municipales (t/año)
Macro Región Norte
Piura
03 Distritos
368,569
100,681
Sullana
02 distritos
154,828
44,858
Paita
01 Distrito
63,632
17,582
Piura
01 distrito
82,518
31,535
Morropón
05 distritos
84,587
21,900
Trujillo
Trujillo
05 distritos
572,617
161,804
Chiclayo
Chiclayo
01 distrito
227,583
62,882
Cajamarca
Cajamarca
06 distritos
99,365
33,401
1,653,699
474,643
Piura - Sullana - Paita
Piura - Morropón
SUMA
Macro Región Centro
Lima Metropolitana Callao
Lima
43 Distritos
8,311,301
2,825,119
Callao
06 Distritos
969,170
310,208
9,280,471
3,135,326
04 distritos
299,546
97,676
07 distritos
275,570
94,309
575,115
191,985
SUMA
Macro Región Oriente
Loreto
Maynas
Coronel
Portillo
Ucayali
SUMA
Macro Región Sur
Arequipa
Arequipa
12 distritos
491,267
130,979
Cusco
Cusco
05 distritos
228,052
83,238
Tacna
Tacna
05 distritos
262,308
74,005
Puno
Puno
13 distritos
116,557
37,976
San Román
San Román
03 distritos
134,558
48,468
1,232,742
374.665
12,742,028
4.176.620
SUMA
SUMA
Conglomerdos
Elaboration: Consultant team
Municipal solid waste (MSW) generated in the 13 urban conglomerates represents 59 % of
MSW generated by the urban population of the country.
Country´s urban population in these conglomerates represents 55% of the country´s urban
population.
Página 18
In the following table, the districts that are part of the preliminarily identified conglomerates
are presented:
Table 3: Districts considered to be part of the identified conglomerates
Provincia
LIMA
Distrito
LIMA
Región
Geográfica
Población
Urbana
2012
(hab)
Generación per
cápita de
residuos sólidos
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos no
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos
municipales
(Kg/hab/día)
Generación total de
residuos sólidos
municipales en
zonas urbanas
(t/día)
costa
281,096
0.622
0.332
0.954
97,880
LIMA
ANCÓN
costa
38,971
0.520
0.332
0.852
12,119
LIMA
ATE
costa
562,436
0.622
0.332
0.954
195,846
LIMA
BARRANCO
costa
31,318
0.622
0.332
0.954
10,905
LIMA
BREÑA
costa
77,862
0.660
0.332
0.992
28,192
LIMA
CARABAYLLO
costa
262,586
0.622
0.332
0.954
91,435
LIMA
CHACLACAYO
costa
42,314
0.622
0.332
0.954
14,734
LIMA
CHORRILLOS
costa
308,520
0.622
0.332
0.954
107,430
LIMA
CIENEGUILLA
costa
37,559
0.622
0.332
0.954
13,079
LIMA
COMAS
costa
507,494
0.622
0.332
0.954
176,714
LIMA
EL AGUSTINO
costa
186,115
0.622
0.332
0.954
64,807
LIMA
INDEPENDENCIA
costa
212,161
0.622
0.332
0.954
LIMA
JESÚS MARÍA
costa
69,933
0.622
0.332
0.954
24,351
LIMA
LA MOLINA
costa
154,476
0.609
0.332
0.941
53,057
LIMA
LA VICTORIA
costa
178,891
0.622
0.332
0.954
62,291
LIMA
LINCE
costa
51,899
0.622
0.332
0.954
18,072
LIMA
LOS OLIVOS
costa
347,979
0.680
0.332
1.012
128,536
LIMA
LURIGANCHO
costa
197,212
0.622
0.332
0.954
68,671
LIMA
costa
75,332
0.622
0.332
0.954
26,231
costa
53,295
0.640
0.332
0.972
LIMA
LURÍN
MAGDALENA
DEL MAR
MIRAFLORES
costa
75,493
0.750
0.332
1.082
29,814
LIMA
PACHACÁMAC
costa
82,779
0.534
0.332
0.866
26,166
LIMA
PUCUSANA
costa
100,631
0.459
0.021
0.480
17,631
LIMA
PUEBLO LIBRE
costa
14,114
0.622
0.332
0.954
4,915
LIMA
costa
299,409
0.622
0.332
0.954
104,257
costa
6,796
0.622
0.332
0.954
LIMA
PUENTE PIEDRA
PUNTA
HERMOSA
PUNTA NEGRA
costa
6,740
0.660
0.332
0.992
2,440
LIMA
RÍMAC
costa
168,473
0.622
0.332
0.954
58,664
LIMA
SAN BARTOLO
costa
6,867
0.622
0.332
0.954
2,391
LIMA
SAN BORJA
costa
109,330
0.640
0.332
0.972
38,788
LIMA
SAN ISIDRO
SAN JUAN DE
LURIGANCHO
costa
55,435
1,005,35
3
0.622
0.332
0.954
19,303
0.450
0.332
0.782
LIMA
LIMA
LIMA
costa
73,876
18,908
2,366
286,958
Página 19
Provincia
Distrito
Región
Geográfica
Población
Urbana
2012
(hab)
Generación per
cápita de
residuos sólidos
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos no
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos
municipales
(Kg/hab/día)
costa
385,601
0.622
0.332
0.954
costa
56,217
0.622
0.332
0.954
Generación total de
residuos sólidos
municipales en
zonas urbanas
(t/día)
LIMA
SAN JUAN DE
MIRAFLORES
SAN LUIS
LIMA
SAN MARTÍN DE
PORRES
costa
646,382
0.622
0.332
0.954
LIMA
SAN MIGUEL
costa
132,377
0.622
0.332
0.954
46,095
LIMA
costa
209,278
0.622
0.332
0.954
72,873
costa
1,196
0.622
0.332
0.954
LIMA
SANTA ANITA
SANTA MARÍA
DEL MAR
SANTA ROSA
costa
15,090
0.622
0.332
0.954
LIMA
SANTIAGO DE
SURCO
LIMA
LIMA
134,270
19,575
225,077
416
5,255
114,830
costa
320,371
0.650
0.332
0.982
costa
90,476
0.622
0.332
0.954
costa
427,538
0.622
0.332
0.954
LIMA
SURQUILLO
VILLA EL
SALVADOR
VILLA MARÍA
DEL TRIUNFO
costa
417,908
0.622
0.332
0.954
CALLAO
CALLAO
costa
417,622
0.622
0.332
0.954
145,420
CALLAO
BELLAVISTA
CARMEN DE LA
LEGUA
REYNOSO
costa
74,287
0.622
0.332
0.954
25,867
costa
42,065
0.540
0.332
0.872
LIMA
LIMA
CALLAO
31,505
148,873
145,520
13,388
CALLAO
LA PERLA
costa
60,886
0.520
0.140
0.660
14,667
CALLAO
LA PUNTA
costa
3,793
0.622
0.332
0.954
1,321
CALLAO
VENTANILLA
costa
370,517
0.620
0.190
0.810
109,543
PIURA
PIURA
costa
214,061
0.540
0.217
0.757
59,146
PIURA
CASTILLA
costa
101,719
0.540
0.217
0.757
28,105
PIURA
CATACAOS
costa
52,788
0.480
0.217
0.697
13,430
SULLANA
SULLANA
costa
126,797
0.590
0.217
0.807
37,349
SULLANA
BELLAVISTA
costa
28,031
0.540
0.194
0.734
7,510
PAITA
PAITA
costa
63,632
0.540
0.217
0.757
17,582
PIURA
costa
82,518
0.830
0.217
1.047
MORROPÓN
TAMBO
GRANDE
CHULUCANAS
costa
57,319
0.580
0.217
0.797
16,674
MORROPÓN
BUENOS AIRES
costa
6,224
0.466
0.059
0.525
1,193
MORROPÓN
LA MATANZA
costa
9,634
0.466
0.059
0.525
1,846
MORROPÓN
costa
6,356
0.466
0.059
0.525
1,218
MORROPÓN
SALITRAL
SAN JUAN DE
BIGOTE
costa
5,054
0.466
0.059
0.525
TRUJILLO
TRUJILLO
costa
237,754
0.612
0.217
0.829
71,941
TRUJILLO
EL PORVENIR
FLORENCIA DE
MORA
HUANCHACO
costa
128,226
0.540
0.217
0.757
35,430
costa
31,633
0.529
0.194
0.723
costa
44,475
0.570
0.194
0.764
TRUJILLO
TRUJILLO
31,535
968
8,348
12,402
Página 20
Provincia
Distrito
Región
Geográfica
Población
Urbana
2012
(hab)
Generación per
cápita de
residuos sólidos
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos no
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos
municipales
(Kg/hab/día)
Generación total de
residuos sólidos
municipales en
zonas urbanas
(t/día)
TRUJILLO
LA ESPERANZA
costa
130,529
0.490
0.217
0.707
33,684
CHICLAYO
CHICLAYO
costa
227,583
0.540
0.217
0.757
62,882
AREQUIPA
AREQUIPA
costa
52,203
0.540
0.217
0.757
14,424
AREQUIPA
YANAHUARA
costa
22,419
0.529
0.194
0.723
5,916
AREQUIPA
ALTO SELVA
ALEGRE
costa
72,004
0.540
0.217
0.757
costa
45,386
0.529
0.194
0.723
costa
48,138
0.600
0.194
0.794
costa
112,853
0.500
0.217
0.717
costa
70,276
0.540
0.217
0.757
costa
43,531
0.430
0.194
0.624
AREQUIPA
AREQUIPA
AREQUIPA
MIRAFLORES
MARIANO
MELGAR
PAUCARPATA
19,895
11,977
13,951
29,534
AREQUIPA
JOSÉ LUIS
BUSTAMANTE Y
RIBERO
JACOBO
HUNTER
AREQUIPA
SACHACA
costa
17,211
0.529
0.194
0.723
4,542
AREQUIPA
CHIGUATA
costa
2,605
0.466
0.059
0.525
499
AREQUIPA
SABANDÍA
costa
3,634
0.480
0.059
0.539
715
AREQUIPA
YARABAMBA
costa
1,009
0.466
0.059
0.525
193
CUSCO
CUSCO
sierra
64,970
0.830
0.394
1.224
29,026
CUSCO
SAN JERÓNIMO
sierra
22,904
0.403
0.344
0.747
6,245
CUSCO
SAN SEBASTIÁN
sierra
55,357
0.604
0.394
0.998
20,165
CUSCO
SANTIAGO
sierra
49,695
0.554
0.344
0.898
16,288
CUSCO
WANCHAQ
sierra
35,126
0.554
0.344
0.898
11,513
TACNA
TACNA
ALTO DE LA
ALIANZA
CIUDAD NUEVA
costa
83,851
0.540
0.217
0.757
23,169
costa
35,514
0.529
0.194
0.723
costa
34,209
0.739
0.194
0.933
11,650
costa
18,431
0.529
0.194
0.723
4,864
costa
90,303
0.540
0.217
0.757
TACNA
POCOLLAY
CRNEL.GREGORI
O ALBARRACÍN
LANCHIPA
PUNO
PUNO
sierra
68,160
0.604
0.394
0.998
24,828
PUNO
CAPACHICA
sierra
5,738
0.555
0.149
0.704
1,474
PUNO
PAUCARCOLLA
sierra
2,540
0.555
0.149
0.704
653
PUNO
HUATA
sierra
4,413
0.555
0.149
0.704
1,134
PUNO
ATUNCOLLA
sierra
2,796
0.555
0.149
0.704
718
PUNO
COATA
sierra
3,928
0.555
0.149
0.704
9
PUNO
VILQUE
sierra
1,580
0.555
0.149
0.704
406
PUNO
CHUCUITO
sierra
3,714
0.555
0.149
0.704
0,954
PUNO
ÁCORA
sierra
14,342
0.554
0.344
0.898
4,701
PUNO
PLATERÍA
sierra
4,014
0.555
0.149
0.704
1,031
AREQUIPA
TACNA
TACNA
TACNA
19,418
9,915
9,372
24,951
Página 21
Provincia
Distrito
Región
Geográfica
Población
Urbana
2012
(hab)
Generación per
cápita de
residuos sólidos
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos no
domiciliarios
(Kg/hab/día)
Generación per
cápita de residuos
sólidos
municipales
(Kg/hab/día)
Generación total de
residuos sólidos
municipales en
zonas urbanas
(t/día)
PUNO
SAN ANTONIO
sierra
1,649
0.555
0.149
0.704
424
PUNO
TIQUILLACA
sierra
954
0.410
0.149
0.559
195
PUNO
MAÑAZO
sierra
2,729
0.300
0.149
0.449
447
SAN ROMÁN
CARACOTO
sierra
2,934
0.555
0.149
0.704
754
SAN ROMÁN
CABANA
sierra
2,166
0.555
0.149
0.704
557
SAN ROMÁN
JULIACA
sierra
129,458
0.604
0.394
0.998
47,158
MAYNAS
IQUITOS
selva
103,850
0.527
0.347
0.874
33,129
MAYNAS
PUNCHANA
selva
57,411
0.527
0.347
0.874
18,315
MAYNAS
BELÉN
selva
49,203
0.497
0.399
0.896
16,091
SAN JUAN
BAUTISTA
selva
89,081
0.580
0.347
0.927
CALLERÍA
selva
112,468
0.730
0.347
1.077
CAMPOVERDE
selva
11,363
0.497
0.399
0.896
MANANTAY
selva
58,460
0.527
0.347
0.874
YARINACOCHA
selva
70,996
0.527
0.347
0.874
NUEVA
REQUENA
selva
4,117
0.427
0.198
0.625
MASISEA
selva
9,432
0.427
0.198
0.625
IPARÍA
selva
8,734
0.427
0.198
0.625
CAJAMARCA
CAJAMARCA
sierra
74,809
0.604
0.394
0.998
27,251
CAJAMARCA
JESÚS
sierra
4,889
0.555
0.149
0.704
1,256
CAJAMARCA
BAÑOS DEL
INCA
sierra
13,277
0.327
0.344
0.671
CAJAMARCA
LLACANORA
sierra
1,743
0.555
0.149
0.704
448
CAJAMARCA
MATARÁ
sierra
1,225
0.555
0.149
0.704
315
CAJAMARCA
NAMORA
sierra
3,422
0.555
0.149
0.704
879
MAYNAS
CORONEL
PORTILLO
CORONEL
PORTILLO
CORONEL
PORTILLO
CORONEL
PORTILLO
CORONEL
PORTILLO
CORONEL
PORTILLO
CORONEL
PORTILLO
30,141
44,212
3,716
18,649
22,648
939
2,152
1,992
3,252
Elaboration: Consultant team
Página 22
5. CONCLUSIONS AND NEXT STEPS
Summarizing, it can be concluded that within the 13 identified urban conglomerates, 59% of
the municipal solid waste (MSW) generated by the country´s urban population, is generated.
This waste represent the streams and amounts of the most relevant MSW for the current
emissions and the potential GHG mitigation in Peru and offer more efficient or economy of
scale projects for mitigation efforts.
It is proposed to deepen the investigations regarding the 4 to 6 conglomerates to be
prioritized by MINAM based on political and strategic criteria.
These urban conglomerates will be analyzed in more detail based on the available
information, and then prioritized applying the following criteria and steps, among others:
•
More specific logistic criteria: topography, road network quality, alternatives (train,
ship), i.e. which is the realistic area of a “common MSW management area”.
•
Analysis of current final
implementation process.
•
Analysis of municipal solid waste characterization studies, including its particularities
(tourism, commercial activities, etc), according to the type or group of districts.
•
Current recycling level.
•
Detailed definition of the districts that will be part of the individual urban
conglomerates.
•
Analysis of the possibility of constituting associations or group of municipalities,
especially for a joined operation of sanitary landfills and transfer stations.
•
Analysis of current costs, tariffs and tariff collection systems; as well as purchasing
power of the population (ability to pay).
•
Economic, population and consumption forecast.
•
Responsible institutions.
disposal
infrastructure
and
new
projects
under
The objective of this analysis will be a more detailed description of the conglomerates and its
MSW generation, the number of necessary transfer stations, additional capacity of necessary
disposal sites, and other parameters, which leads to a prioritization of the conglomerates.
Página 23