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2019 City-wide Emissions Reduction Targets
This is a filtered view based on 2018 - 2019 City-wide Emissions Reduction Targets.
| Row number | Year Reported to CDP | Account Number | Organization | City | Country | CDP region | Reporting authority | Access | City boundary | Type of target | Sector | Identify and explain sources that differ from the inventory | Target boundary relative to city boundary | Base year | Year of target implementation | Base year emissions (metric tonnes CO2e) | Percentage reduction target | Target year | Target year absolute emissions (metric tonnes CO2e) | Projected population in target year | Intensity unit (emissions per) | Base year emissions per intensity unit (metric tonnes CO2e per denominator) | Estimated business as usual absolute emissions in target year (metric tonnes CO2e) | Percentage of target achieved so far | Indicate which sector(s) the target applies | Description of the target and the modelling methodology(ies) and parameters used to define it | Does this target align with the global 1.5 - 2°C pathway set out in the Paris agreement? | Does this target align to a requirement from a higher level of (sub-national) government? | Target description | Population | Population year | City Location | Last update |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | 2019 | 50673 | Município de Faro | Faro | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 60974 | 2018 | {"type"=>"Point", "coordinates"=>[-7.93044, 37.0194]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 652 | 2019 | 834370 | Town of Secaucus, NJ | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 18000 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 653 | 2019 | 36504 | Comune di Rimini | Rimini | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 150590 | 2018 | {"type"=>"Point", "coordinates"=>[12.5695, 44.0678]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 654 | 2019 | 14344 | City of Park City, UT | Park City | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | Other: All emissions included in municipal operations inventory | Only includes municipal operations per Section 7 | Smaller – covers only part of the city | 2016 | 2022 | 9775 | 8 | Other: Municipal Vehicle Fleet, Public Transportation, Streetlight & Traffic Signals, Public facility, Water | Yes - 1.5 °C | Park City's municipal operations will be carbon neutral by 2022. All electricity used by the municipal government will be renewable by 2022. At that time, the amount of carbon released by municipal operations must be less than or equal to the amount of carbon sequestered on land owned, or under easement, by the City.This goal is more ambitious than the United States' NDC. | 8376 | 2016 | {"type"=>"Point", "coordinates"=>[-111.498, 40.6461]} | 2020-05-01T04:02:41.860 | |||||||||
| 655 | 2019 | 73684 | Carlos Tejedor | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 656 | 2019 | 43911 | City of Ottawa | Ottawa | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2012 | 2016 | 6907000 | 80 | 2050 | 1219000 | 14 | 979173 | 2017 | {"type"=>"Point", "coordinates"=>[-75.6972, 45.4215]} | 2020-05-01T04:02:41.860 | ||||||||||
| 657 | 2019 | 58671 | Helsingør Kommune / Elsinore Municipality | Helsingør | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2008 | 2009 | 415408 | 75 | 2030 | 103852 | 39 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Trade and service, contruction, agriculture and horticulture, waste and wast water, Public facility, Residential buildings, Transport, Water | Other: Yes | No | City target: Maximum 1.7 ton CO2eq per citizen by 2030. That is a percentage reduction target of around 75% compared to 2008. | 62567 | 2019 | {"type"=>"Point", "coordinates"=>[12.5921, 56.0308]} | 2020-05-01T04:02:41.860 | ||||||
| 658 | 2019 | 35885 | Tel Aviv-Yafo Municipality | Tel Aviv-Yafo | Israel | Middle East | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 443930 | 2017 | {"type"=>"Point", "coordinates"=>[34.7823, 32.0816]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 659 | 2019 | 35393 | City of St Louis | St Louis | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent city | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2017 | 8081418 | 80 | 2050 | 1616283 | 19 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | 302838 | 2018 | {"type"=>"Point", "coordinates"=>[-90.1994, 38.627]} | 2020-05-01T04:02:41.860 | |||||||
| 660 | 2019 | 826236 | Prefeitura de Tremembé | Tremembé | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 40984 | 2015 | {"type"=>"Point", "coordinates"=>[-45.548, -22.9576]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 661 | 2019 | 840936 | Prefeitura de Guanhães | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 662 | 2019 | 46470 | Ayuntamiento de Vitoria-Gasteiz | Vitoria-Gasteiz | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Larger – covers the whole city and adjoining areas | 2006 | 2010 | 269927 | 10.6 | 2020 | 241354 | 100 | Residential buildings | Do not know | Do not know | 251604 | 2018 | {"type"=>"Point", "coordinates"=>[-2.67, 42.84]} | 2020-05-01T04:02:41.860 | |||||||
| 663 | 2019 | 54620 | Gobierno Municipal de la Ciudad de Paraná | la Ciudad de Paraná | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Eergía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2019 | 793211.8 | 18 | 2030 | 1015150.13 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e . De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%. Este aumento será considerado para la preparación del escenario BAU de Paraná donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Paraná se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local.Factor de ajuste= (variación población 2014-2030 Paraná)/(variación población 2014-2030 Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 7,26% en el municipio (considerando la variación intercensal entre los censos poblacionales del 2001 y 2010). Por lo tanto factor de ajuste resulta de 0,4597. Así, el aumento de emisiones proyectado para Paraná será del 27,98%.Aumento de emisiones en Paraná 2014-2030 (%)= 60,87%*0,4597= 27,98%Tomando de base el inventario BÁSICO de Paraná del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 1.015.150,13 tCO2e.Emisiones Paraná al 2030= 793.211,8 tCO2e*1,2798=1.015.150,13 tCO2eTomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Paraná se compromete a reducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Paraná no emitirá más de 832.423,11 tCO2e | Do not know | No | Se espera que la reducción de emisiones propuesta por Paraná y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 247863 | 2010 | 2020-05-01T04:02:41.860 | ||||||
| 664 | 2019 | 54048 | City of Knoxville | Knoxville | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 4201700 | 20 | 2020 | 3361360 | 11 | Commercial buildings, Industrial facilities, Residential buildings, Transport, Water | Yes - 2 °C | The City of Knoxville has an adopted target of 20% emissions reduction by 2020 for both the municipal operations and the community. This projects to a 1.33% average reduction per year and keeps us in pace with matching the national commitment for reduction. Mayor Rogero has championed longer range goals including a 50% reduction by 2030 for municipal operations and an 80% by 2050 goal for the Knoxville community. The latter two goals are set to be reviewed and voted on for adoption by City Council this summer as we are set to meet and exceed our 2020 target for municipal operations as of late summer 2019 through investments in building efficiency and LED streetlights. | 186239 | 2016 | {"type"=>"Point", "coordinates"=>[-83.9207, 35.9606]} | 2020-05-01T04:02:41.860 | ||||||||
| 665 | 2019 | 42388 | Intendencia de Montevideo | Montevideo | Uruguay | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Province / County | No target | 1380432 | 2016 | {"type"=>"Point", "coordinates"=>[-58.2987, -34.7112]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 666 | 2019 | 73750 | Tarakan City | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 253026 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 667 | 2019 | 35897 | Municipality of Campinas | Campinas | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | Base year emissions (absolute) target | Waste | Same – covers entire city and nothing else | 2016 | 2020 | 179710.63 | 3.6 | 2020 | 173241.05 | 0 | Other: Disposição e tratamento de efluentes domésticos. | Yes - 2 °C | No | A meta da cidade é menos ambiciosa (em valor absoluto) do que a NDC nacional devido ao fato de que a cidade de Campinas se configura como uma área urbana já consolidada onde o range de redução das emissões de GEE é notadamente mais restrito que o nacional. | 1194094 | 2018 | {"type"=>"Point", "coordinates"=>[-46.9372, -22.744]} | 2020-05-01T04:02:41.860 | ||||||
| 668 | 2019 | 58511 | City of Richmond, CA | Richmond, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2008 | 693426 | 15 | 2020 | 589412 | Yes | 110146 | 2018 | {"type"=>"Point", "coordinates"=>[-122.348, 37.9358]} | 2020-05-01T04:02:41.860 | ||||||||||
| 669 | 2019 | 54611 | Alcaldia de Manizales | Manizales | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Other: Municipio | No target | 400136 | 2019 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 670 | 2019 | 54510 | Umeå municipality | Umeå | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 1990 | 2016 | 390887 | 100 | 2045 | 0 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes | 127119 | 2018 | {"type"=>"Point", "coordinates"=>[20.263, 63.8258]} | 2020-05-01T04:02:41.860 | |||||||
| 671 | 2019 | 43920 | City of Ljubljana | Ljubljana | Slovenia | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | Waste | Larger – covers the whole city and adjoining areas | 2014 | 2014 | 2025 | Other: PM10 and PM2,5 | Transport | Do not know | No | 292988 | 2019 | {"type"=>"Point", "coordinates"=>[14.5058, 46.0569]} | 2020-05-01T04:02:41.860 | ||||||||||
| 672 | 2019 | 60433 | City of Hvidovre | Hvidovre | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | 52380 | 2015 | {"type"=>"Point", "coordinates"=>[12.4754, 55.6425]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 673 | 2019 | 839982 | Sepang Municipal Council | Malaysia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Waste | The goal is for the waste sector of Cyberjaya to reduce its waste related emissions by 25.0% in 2025 based on its baseline waste consumption of 2016. | Smaller – covers only part of the city | 2016 | 2025 | 12067.42 | 25 | 2016 | 9050.56 | 1 | Commercial buildings, Industrial facilities, Other, Public facility, Residential buildings, Transport | Do not know | Yes | The average Malaysian disposes about 1.64 kg of waste per day as compared to the global average of 1.2 kg per day. Waste Sector is expected to increase by 230% by 2025 under the BAU scenario. In Malaysia, more than 95% of our waste goes to landfill. Definitely, the strategy of 4R (i.e. Reduce, Reuse, Recycle and Recover) will significantly reduce Cyberjaya’s 100% dependency on landfill. The introduction of segregation/minimization/pre-treatment of waste at source as well as conversion of waste to wealth/energy are projected to reduce 25% of carbon emission from Waste Sector. Investment on waste to energy/wealth project can be quite expensive but it is an important step in delivering effective solid waste management mechanism in Cyberjaya. | 207354 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 674 | 2019 | 59631 | City of San Leandro, CA | San Leandro | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2005 | 675800 | 25 | 2020 | 8 | Commercial buildings, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Other: Current CAP does not; new targets for 2030 and 2050 will align with Paris Agreement | Yes | Note this is an updated baseline from the 2015 GHG Emissions Inventory Update, dated 2018 | 90553 | 2019 | {"type"=>"Point", "coordinates"=>[-122.156, 37.7249]} | 2020-05-01T04:02:41.860 | |||||||
| 675 | 2019 | 36410 | City of Memphis | Memphis | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 2016 | 2019 | 17191915 | 15 | 2020 | 14573352 | Other: This is the overall emissions reduction target; includes all sectors | Do not know | No | This short-term target mainly relies on expected changes in the power supply for our area. TVA - the sole power provider - has projected that their portfolio will be close to 60% carbon-free by 2020. | 650618 | 2018 | {"type"=>"Point", "coordinates"=>[-90.049, 35.1495]} | 2020-05-01T04:02:41.860 | |||||||
| 676 | 2019 | 2430 | City of Burlington | Burlington | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other: Community | Same – covers entire city and nothing else | 2010 | 2014 | 404779 | 10 | 2025 | Commercial buildings, Energy industry, Heating and cooling supply, Other: Waste, Residential buildings, Transport, Water | Do not know | Do not know | 42284 | 2015 | {"type"=>"Point", "coordinates"=>[-73.2121, 44.4759]} | 2020-05-01T04:02:41.860 | |||||||||
| 677 | 2019 | 60349 | Prefeitura de São Leopoldo | São Leopoldo | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 234947 | 2018 | {"type"=>"Point", "coordinates"=>[-51.1493, -29.761]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 678 | 2019 | 53860 | City of Wilmington, NC | Wilmington | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 119045 | 2017 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 679 | 2019 | 61427 | Municipality of Nacala | Nacala | Mozambique | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2016 | 2019 | 204104 | 50 | 2030 | 261622 | Other: Waste, Stationary Energy, Transport | In order to establish GHG Emission reduction actions for Nacala, officials and ICLEI undertook two main activities; namely (1) review and consideration of the Nationally Determined Contribution (NDC); and (2) conduct stakeholder workshops to collectively determine realistic and achievable targets in line with both the city needs as well as the NDC. The Mozambique NDC is fully conditional (i.e. dependent on the provision of financial, technological and capacity building support from the international community) and does not have any unconditional components, states the following mitigation targets:“The country estimates, on a preliminary basis, the total reduction of 76.5 MtCO2e in the period from 2020 and 2030, with 23,0 MtCO2eq by 2024 and 53,4 MtCO2eq from 2025 and 2030. These reductions are estimates with a significant level of uncertainty and will be updated with the results from the BUR to be available by early 2018. The implementation of any proposed reduction is fully conditional on the provision of financial, technological and capacity building from the international community”A national baseline GHG Inventory is not identified within the NDC, however a study by the World Resource Institute estimated the total GHG Emissions for Mozambique for 2014 (including Land Use Change and Forestry) to be 68.10MtCO2e ; thus, the reduction targets set within the NDC implies an ambitious potentially carbon neutral goal for Mozambique by 2030. According GCoM Reporting Framework , sub-national mitigation targets should be at a minimum as ambitious as the unconditional components of the NDC; and local governments should set targets that are more ambitions that the NDC.Emissions reduction actions included in this report (see Table 4) are thus based on political aspirations of a reduction of half (50%) of the absolute emissions estimated within the BAU projections for 2030. Nacala has selected a political target of half (50%) of the absolute emissions estimated within the BAU projections for 2030. This amounts to 130,811 tCO2eq. | No | The Mozambique NDC is fully conditional (i.e. dependent on the provision of financial, technological and capacity building support from the international community) and does not have any unconditional components. Emissions reduction actions included in this report (see Table 4) are thus based on political aspirations of a reduction of half (50%) of the absolute emissions estimated within the BAU projections for 2030. Whilst mitigation actions at the city level are necessary to support the national conditional NDC target of a reduction of 76.5 MtCO2e in the period between 2020 and 2030, achieving these actions need not lead to a reduction in socio-economic development. Instead mitigation actions can offer an opportunity to promote a more sustainable development trajectory which not only reduces emissions but also supports the city with adapting to the impacts of climate change and improving human livelihoods in the process.Nacala is using baseline targets. | 224795 | 2019 | {"type"=>"Point", "coordinates"=>[40.6854, -14.5656]} | 2020-05-01T04:02:41.860 | |||||||
| 680 | 2019 | 43934 | City of Perth | Perth | Australia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2006 | 2014 | 966600 | 30 | 2030 | 1196000 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | No | No | The City's target would support Australia's NDC as it is more ambitious than the NDC currently. The City of Perth's current city-wide emission reduction target was developed before the Paris Agreement in 2015, and does not currently align with the global 1.5 - 2 degrees pathway. In the next 12 months, the City of Perth is scheduled to review the Environment Strategy and all of the targets including within it. This will include the City's corporate and community emission reduction targets and their alignment to the Paris Agreement pathway to net-zero emission by 2050. | 29627 | 2019 | {"type"=>"Point", "coordinates"=>[115.861, -31.9526]} | 2020-05-01T04:02:41.860 | |||||||
| 681 | 2019 | 60414 | Municipalidad Venado Tuerto | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Residuos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2018 | 399970.4 | 18 | 2030 | 711084.35 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e. De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%. Este aumento será considerado para la preparación del escenario BAU de Venado Tuerto donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Venado Tuerto se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local.𝐹𝑎𝑐𝑡𝑜𝑟 𝑑𝑒 𝑎𝑗𝑢𝑠𝑡𝑒 = (𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 Venado Tuerto)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 20,18% en el municipio (considerando la variación intercensal entre los censos poblacionales del 2001 y 2010). Por lo tanto factor de ajuste resulta de 1,278. Así, el aumento de emisiones proyectado para Venado Tuerto será del 77%. 𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 Venado Tuerto 2014 − 2030 (%) = 60,87% ∗ 1,278 = 77% Tomando de base el inventario BÁSICO de Venado Tuerto del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 711084.35 tCO2e. Tomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Venado Tuerto se compromete a reducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Venado Tuerto no emitirá más de 583089,17tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Venado Tuerto y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 76432 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 682 | 2019 | 840328 | Municipalidad San Pedro Carchá | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Waste | Clausura y cierre del Botadero a cielo abierto del Municipio. | Larger – covers the whole city and adjoining areas | 2018 | 2020 | 6362 | 83 | 2020 | 1081 | 83 | Commercial buildings, Industrial facilities, Public facility, Residential buildings | Do not know | Do not know | 272300 | 2019 | 2020-05-01T04:02:41.860 | ||||||||
| 683 | 2019 | 839954 | Vinh City | Viet Nam | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | 323800 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 684 | 2019 | 834260 | Municipality of Olavarría | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2019 | 864800.63 | 18 | 2030 | 1202713.9 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e. De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%. Este aumento será considerado para la preparación del escenario BAU de Olavarría donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Olavarría se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local.𝐹𝑎𝑐𝑡𝑜𝑟 𝑑𝑒 𝑎𝑗𝑢𝑠𝑡𝑒 = (𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝑂𝑙𝑎𝑣𝑎𝑟𝑟í𝑎)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎) El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 10,14% en el municipio. Por lo tanto, el factor de ajuste resulta de 0,64. Así, el aumento de emisiones proyectado para Olavarría será del 39,07%. 𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝑂𝑙𝑎𝑣𝑎𝑟𝑟í𝑎 2014− 2030 (%) = 60,87%∗ 0,64= 39,07% Tomando de base el inventario BÁSICO de Olavarría del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 1.202.713,90 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑂𝑙𝑎𝑣𝑎𝑟𝑟í𝑎 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒) = 864.800,63 𝑡𝐶𝑂2𝑒 ∗ 1,3907 = 1.202.713,90 tCO2e . Tomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Olavarría se compromete a reducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Olavarría no emitirá más de 986.225,40 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Olavarría y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 111708 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 685 | 2019 | 54696 | XIV Ayuntamiento de La Paz | La Paz | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Other: Ciudad Capital | Base year emissions (absolute) target | All emissions sources included in city inventory | El inventario de emisiones para el Estado de Baja California Sur fue elaborado para el año base 2014, y considera la estimación de emisiones de contaminantes criterio (PM10, PM2.5, SO2, NOx, CO, COV y NH3) para fuentes fijas, de área, móviles carreteras y no carreteras, así como naturales a nivel municipal.Si se consideran únicamente las emisiones antropogénicas, es decir, aquellas generadas por las activida-des humanas y sobre las que se puede tener alguna intervención para su control, los resultados muestran lo siguiente:1. Por fuente de emisión:Fijas.- Principal fuente de emisión de bióxido de azufre (SO2), 92%.Área.- Principal fuente emisora de PM10, 82%; PM2.5, 61%; y, amoniaco (NH3), 95%; además del se-gundo lugar en emisión de compuestos orgánicos volátiles (COV), 39%.Móviles.- Primera fuente emisora de monóxido de carbono (CO), 93%; y, óxidos de nitrógeno (NOx) y compuestos orgánicos volátiles (COV), con el 59% cada uno.2. Por contaminante:PM10.- Caminos no pavimentados, 45%; caminos pavimentados, 27%; y, generación de energía eléc-trica, 9%.PM2.5.- Caminos pavimentados, 21%; generación de energía eléctrica, 19%; e incendios forestales, 15%.SO2.- Generación de energía eléctrica, 92%; y, embarcaciones marítimas, 5%.NOx.- Generación de energía eléctrica, 33%; camionetas y pick up, 32%; y, autos particulares y taxis, 17%.COV.- Camionetas y pick up, 33%; autos particulares y taxis, 21%; manejo y distribución de gas L.P., 10%.CO.- Camionetas | Larger – covers the whole city and adjoining areas | 2019 | 2027 | 80 | Energy industry, Public facility, Transport, Water | Do not know | Yes, but it exceeds its scale or requirement | El Programa de Gestión para Mejorar la Calidad del Aire del Estado de Baja California Sur tiene el objetivo fundamental el instrumentar acciones para reducir los niveles de contaminantes del aire que implican riesgos en la salud de la población. Los beneficios sociales de reducir la contamina-ción del aire no solamente se traducen en una mejora en la salud de la población, sino también en un ahorro en los gastos que incurre el sector salud. Los costos relacionados con la atención de los in-crementos en enfermedades y de muertes prematuras se podrían reducir ostensiblemente si se cum-pliera con las normas mexicanas de calidad del aire para la protección de la salud. Además, mejorar la calidad del aire contribuye a garantizar el derecho de toda persona a un medio ambiente sano para su desarrollo y bienestar, consagrado en el Artículo 4to. de la Constitución Política de los Estados Unidos Mexicanos. | 215178 | 2010 | 2020-05-01T04:02:41.860 | ||||||||||
| 686 | 2019 | 60369 | Alcaldía Municipal de Armenia | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | No target | 301226 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 687 | 2019 | 60328 | Prefeitura de Pirenópolis | Pirenópolis | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 24749 | 2018 | {"type"=>"Point", "coordinates"=>[-48.9595, -15.8545]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 688 | 2019 | 50371 | Municipalidad de Córdoba | Córdoba | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 1430000 | 2017 | {"type"=>"Point", "coordinates"=>[-64.1888, -31.4201]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 689 | 2019 | 35897 | Municipality of Campinas | Campinas | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2016 | 2020 | 553980.14 | 6.8 | 2030 | 516309.49 | 0 | Commercial buildings, Energy industry, Industrial facilities, Other: Indústrias de Manufatura e Construção - Agricultura, Silvicultura e Pesca, Public facility, Residential buildings | Yes - 2 °C | No | A meta da cidade é menos ambiciosa (em valor absoluto) do que a NDC nacional devido ao fato de que a cidade de Campinas se configura como uma área urbana já consolidada onde o range de redução das emissões de GEE é notadamente mais restrito que o nacional. | 1194094 | 2018 | {"type"=>"Point", "coordinates"=>[-46.9372, -22.744]} | 2020-05-01T04:02:41.860 | ||||||
| 690 | 2019 | 63941 | Broward County, FL | Broward | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Province / County | Base year emissions (absolute) target | All emissions sources included in city inventory | 2010 | 2014 | 22177409 | 10 | 2020 | 0 | 2014 Total: 25,207,287.Will update with 2017 total when available. | 1870000 | 2014 | {"type"=>"Point", "coordinates"=>[80.3659, 26.1901]} | 2020-05-01T04:02:41.860 | |||||||||||
| 691 | 2019 | 50391 | Prefeitura de Manaus | Manaus | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-60.0217, -3.11902]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 692 | 2019 | 63615 | Hillerød Kommune | Hillerød | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 50104 | 2017 | {"type"=>"Point", "coordinates"=>[12.2349, 55.931]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 693 | 2019 | 31148 | City of Amsterdam | Amsterdam | Netherlands | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 1990 | 3010000 | 95 | 2050 | 863000 | 2019 | {"type"=>"Point", "coordinates"=>[4.89516, 52.3702]} | 2020-05-01T04:02:41.860 | ||||||||||||||
| 694 | 2019 | 43905 | City of San Antonio | San Antonio | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 1469845 | 2015 | {"type"=>"Point", "coordinates"=>[-98.4936, 29.4241]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 695 | 2019 | 50384 | Prefeitura de Florianópolis | Florianópolis | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 2013 | 42 | 2020 | low carbon agriculture, implementation of green infrastructure, reduction in energy, consumption, sanitation, reducing fuel consumption | 495000 | 2010 | {"type"=>"Point", "coordinates"=>[-48.5482, -27.595]} | 2020-05-01T04:02:41.860 | |||||||||||||||
| 696 | 2019 | 54070 | City of Eugene | Eugene | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2010 | 2016 | 1835139 | 99.9 | 2100 | 1400 | 14 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport | Other: Yes - 1 degree C | Yes, but it exceeds its scale or requirement | Eugene's community ghg target "By the year 2100, total community greenhouse gas emissions shall be reduced to an amount that is no more than the city of Eugene's average share of a global atmospheric greenhouse gas level of 350 ppm, which is estimated in 2016 to require an annual average emission reduction level of 7.6%." | 165885 | 2016 | {"type"=>"Point", "coordinates"=>[-123.087, 44.0519]} | 2020-05-01T04:02:41.860 | ||||||
| 697 | 2019 | 19233 | Município de Torres Vedras | Torres Vedras | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 2009 | 29 | 2020 | Torres Vedras SEAP is an integrated plan to reduce emissions of the community and local government operations, the amount provided for emission reduction is a global value. In the plan are set 61 actions for the community and the local government operations. | 79465 | 2011 | {"type"=>"Point", "coordinates"=>[-9.30148, 38.7637]} | 2020-05-01T04:02:41.860 | |||||||||||||||
| 698 | 2019 | 834277 | Municipality of Patagones | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2018 | 142886.55 | 18 | 2030 | 185323.75 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e10. De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%.Este aumento será considerado para la preparación del escenario BAU de Puerto Esperanza donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+.Para correlacionar el escenario Business as Usual nacional con el de Patagones se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local. 𝐹𝑎𝑐𝑡𝑜𝑟 𝑑𝑒 𝑎𝑗𝑢𝑠𝑡𝑒= 𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑑𝑒 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014−2030 𝑃𝑎𝑡𝑎𝑔𝑜𝑛𝑒𝑠/𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑑𝑒 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014−2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 7,70% en el municipio. Por lo tanto, el factor de ajuste resulta de 0,4879. Así, el aumento de emisiones proyectado para Patagones será del 29,70%. 𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝑃𝑎𝑡𝑎𝑔𝑜𝑛𝑒𝑠 2014−2030 (%)=48,79%∗60,87%𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝑃𝑎𝑡𝑎𝑔𝑜𝑛𝑒𝑠 2014−2030 (%)=29,70%Tomando de base el inventario BÁSICO de Patagones del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 138.647,91 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 Patagones 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒)=142.886,55 𝑡𝐶𝑂2𝑒∗1,2970 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 Patagones 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒)=185.323,75 𝑡𝐶𝑂2𝑒Tomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Patagones se fija una meta aún más ambiciosa, reducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Patagones no emitirá más de 151.965,48 tCO2e. | Do not know | Yes | Se espera que la reducción de emisiones propuesta por Patagones y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 31294 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 699 | 2019 | 36491 | Comune di Pesaro | Pesaro | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 0 | 94969 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 700 | 2019 | 73530 | Town of Lexington, MA | Lexington, MA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2012 | 2018 | 338711 | 100 | 2035 | 0 | 14 | Commercial buildings, Heating and cooling supply, Public facility, Residential buildings | Yes - 2 °C | Yes, but it exceeds its scale or requirement | This target is for all residential, commercial and municipal buildings. | 31394 | 2010 | {"type"=>"Point", "coordinates"=>[-71.2269, 42.4443]} | 2020-05-01T04:02:41.860 |
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Description
This data was collected in partnership by CDP and ICLEI - Local Governments for Sustainability.
The dataset contains all city-wide emissions reduction targets publicly disclosed in 2018 and 2019
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