{"query_echo":{"q":"","filters":{"analysis_type":["Emission Inventory"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Emission Inventory' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":6,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=Emission+Inventory","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-000066","url":"https://climateinsightsdirectory.org/document/sei-000066","title":"Transport policies and air pollution in Kenya","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2023-08-23","source_url":"https://www.sei.org/publications/transport-policies-air-pollution-kenya/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study developed a detailed inventory model for eleven pollutants in Kenya's road transport sector, which accounts for 93% of all freight and passenger traffic. Projections indicate that emissions could increase exponentially by 2050 under a business-as-usual scenario. The authors identify improving fuel economy, vehicle standards, fuel sources, and public transport investment as the most effective strategies for improving air quality and meeting climate goals.","ai_generated":true,"unit":"sei-000066#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Road transport is the dominant mode of movement in Kenya, accounting for 93% of all passenger and freight traffic.","ai_generated":true,"unit":"sei-000066#insight-1","date_modified":"2026-10-23"},{"text":"Under a business-as-usual scenario, emissions from the road transport sector have the potential to grow exponentially between 2010 and 2050.","ai_generated":true,"unit":"sei-000066#insight-2","date_modified":"2026-10-23"},{"text":"The most effective methods for Kenya to reduce climate warming and improve air quality are the improvement of vehicle standards and fuel economy, supplemented by investments in public transport and better fuel sources.","ai_generated":true,"unit":"sei-000066#insight-3","date_modified":"2026-10-23"}],"climate_tags":["road transport","greenhouse gas","fuel economy","public transport"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["emission inventory","scenario analysis","projection"]},{"id":"sei-000886","url":"https://climateinsightsdirectory.org/document/sei-000886","title":"Reducing Impacts of Air Pollutants in Nepal","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2020-01-27","source_url":"https://www.sei.org/publications/reducing-impacts-of-air-pollutants-in-nepal/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study develops an emission inventory for Nepal and compares a reference scenario with a mitigation policy scenario. It finds that implementing mitigation measures could significantly reduce black carbon, methane, and PM2.5 emissions by 2050, resulting in substantial health and agricultural benefits and a positive economic return.","ai_generated":true,"unit":"sei-000886#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Implementing mitigation measures in Nepal could lead to significant emission reductions by 2050 compared to the reference scenario, specifically reducing black carbon (BC) and methane (CH4) by approximately 78% each, and fine particulate matter (PM2.5) by 87%.","ai_generated":true,"unit":"sei-000886#insight-1","date_modified":"2026-10-23"},{"text":"The projected mitigation measures are estimated to avoid 29,000 deaths and 1.7 million tonnes of crop loss, providing an economic benefit in present value that is 2.7 times higher than the total implementation costs between 2010 and 2050.","ai_generated":true,"unit":"sei-000886#insight-2","date_modified":"2026-10-23"}],"climate_tags":["methane","carbon dioxide","air pollution","climate change mitigation"],"geography_discussed":["Hindu Kush Himalayan"],"frame_perspective":[],"analysis_type":["emission inventory","impact projection","economic assessment"]},{"id":"sei-001170","url":"https://climateinsightsdirectory.org/document/sei-001170","title":"Kommunaalteenustega seotud veokite keskkonnamõju vähendamine Tallinnas","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"et","date_published":"2011-09-23","source_url":"https://www.sei.org/wp-content/uploads/2018/02/4413.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes transport-related emissions in Tallinn from 2000 to 2009, noting a significant increase in CO2e emissions driven primarily by private car usage. It evaluates various fiscal and regulatory measures to mitigate these impacts, with a specific focus on municipal service vehicles. The study finds that implementing eco-driving training for municipal fleets could reduce CO2e emissions by 1,330 to 2,660 tons annually and save between 0.5 and 1 million euros in fuel costs. Despite strategic goals for sustainable transport, the report concludes that Tallinn's actual progress is hindered by a continued focus on car-centric infrastructure.","ai_generated":true,"unit":"sei-001170#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2000 and 2009, vehicle mileage in Tallinn increased by nearly 50%, with private cars accounting for approximately 90% of the total mileage.","ai_generated":true,"unit":"sei-001170#insight-1","date_modified":"2026-10-23"},{"text":"CO2e emissions from Tallinn's traffic rose from 381 thousand tons in 2000 to 574 thousand tons in 2009, peaking at 639 thousand tons in 2007.","ai_generated":true,"unit":"sei-001170#insight-2","date_modified":"2026-10-23"},{"text":"Private cars are the largest contributors to CO2e emissions in Tallinn (approx. 55%), followed by trucks (30-35%).","ai_generated":true,"unit":"sei-001170#insight-3","date_modified":"2026-10-23"},{"text":"Thirteen major municipal companies in Tallinn generate nearly 10% of the city's total transport CO2e emissions, with city buses contributing 50% and waste trucks 25% of that sector's total.","ai_generated":true,"unit":"sei-001170#insight-4","date_modified":"2026-10-23"},{"text":"Implementing eco-driving for municipal fleets is estimated to reduce CO2e emissions by 1,330 to 2,660 tons per year and provide financial savings of 0.46 to 0.93 million euros annually.","ai_generated":true,"unit":"sei-001170#insight-5","date_modified":"2026-10-23"},{"text":"The report identifies a contradiction in Tallinn's planning: while strategies emphasize sustainable transport, infrastructure projects often prioritize and facilitate increased car use and road freight.","ai_generated":true,"unit":"sei-001170#insight-6","date_modified":"2026-10-23"},{"text":"The study suggests that the most effective measures for reducing environmental impact in Tallinn include congestion charging in the center, city-wide low emission zones, and the development of urban logistics.","ai_generated":true,"unit":"sei-001170#insight-7","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","air pollution","fuel efficiency","biogas","public transport"],"geography_discussed":["Estonia","Stockholm","London","Milan"],"frame_perspective":[],"analysis_type":["emission inventory","policy review","impact assessment","comparative analysis"]},{"id":"cer-000318","url":"https://climateinsightsdirectory.org/document/cer-000318","title":"KM_C654e-20190503151758","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"report","language":"en","date_published":null,"source_url":"https://cer.org.za/wp-content/uploads/2019/12/Anglo-American-PPP-May-2019.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document is a Pollution Prevention Plan (PPP) for Anglo American Coal South Africa (AACSA) covering the period from 2016 to 2020. It outlines the company's energy and carbon emission management plan (ECO2MAN), detailing emission sources, calculation methodologies, and planned mitigation measures for its South African coal operations.","ai_generated":true,"unit":"cer-000318#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"For the year 2016, AACSA's actual emissions were 532,749 tCO2e, which was 4,086 tCO2e lower than the projected carbon budget of 536,833 tCO2e.","ai_generated":true,"unit":"cer-000318#insight-1","date_modified":"2026-08-17"},{"text":"AACSA identifies two primary sources of Scope 1 emissions: fugitive methane released during coal mining and the combustion of fossil fuels in mobile machinery.","ai_generated":true,"unit":"cer-000318#insight-2","date_modified":"2026-08-17"},{"text":"The company is implementing Advanced Process Control (APC) technology at three coal processing plants to improve efficiency, with the first installation expected to be operational in March 2019 and the remaining two in Q4 2019.","ai_generated":true,"unit":"cer-000318#insight-3","date_modified":"2026-08-17"},{"text":"AACSA has installed continuous methane monitors at Zibulo Colliery and a new ventilation shaft at Greenside Colliery. This technology is intended to provide more accurate emission readings rather than reduce actual emissions, as the company believes current IPCC Tier 2 estimates for South Africa may be overestimating fugitive methane.","ai_generated":true,"unit":"cer-000318#insight-4","date_modified":"2026-08-17"},{"text":"The scope of the PPP changed over time; Eskom-tied mines (New Vaal, New Denmark, and Kriel) were included for 2016-2017 but were removed from the scope for 2018-2020 due to their planned sale by January 2018.","ai_generated":true,"unit":"cer-000318#insight-5","date_modified":"2026-08-17"},{"text":"Methane flaring occurs only intermittently at the New Denmark Colliery, with a calculated flare efficiency of 98%.","ai_generated":true,"unit":"cer-000318#insight-6","date_modified":"2026-08-17"}],"climate_tags":["greenhouse gas emissions","methane","coal mining","carbon budget","pollution prevention"],"geography_discussed":["Johannesburg"],"frame_perspective":[],"analysis_type":["Emission Inventory","Mitigation Planning"]},{"id":"cer-001340","url":"https://climateinsightsdirectory.org/document/cer-001340","title":"KM_C654e-20190503152933","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"report","language":"en","date_published":null,"source_url":"https://cer.org.za/wp-content/uploads/2019/12/SASOL-PPP-May-2019.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This document is a pollution prevention plan submission by Sasol South Africa (Pty) Limited and Sasol Mining (Pty) Limited. It details the company's production processes for liquid fuels, chemicals, ammonia, and nitric acid, alongside its coal mining operations. The report provides greenhouse gas (GHG) emission data for 2015 and 2016, the methodologies used for these calculations, and a list of mitigation interventions aimed at reducing GHG intensity through energy efficiency and process improvements.","ai_generated":true,"unit":"cer-001340#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Sasol's greenhouse gas (GHG) emissions profile is reported to be below pre-2004 levels, despite an increase in production during that period, which the company attributes to the integration of its Secunda, Sasolburg, and joint venture facilities.","ai_generated":true,"unit":"cer-001340#insight-1","date_modified":"2026-08-17"},{"text":"The company operates a voluntary growth carbon budget of 302 million tons (Mt) of carbon dioxide emission equivalents, as issued by the Department of Environmental Affairs.","ai_generated":true,"unit":"cer-001340#insight-2","date_modified":"2026-08-17"},{"text":"Total GHG emissions for 2016 were calculated at 29,643 kt CO2e (summing the provided table values: 29,357 + 242 + 16 + 210 + 128 fugitive/waste), compared to 58,256 kt CO2e in 2015. The largest source of emissions in both years was the fuel combustion associated with the production of liquid fuels and chemicals from coal or gas.","ai_generated":true,"unit":"cer-001340#insight-3","date_modified":"2026-08-17"},{"text":"Sasol employs different IPCC-aligned calculation methodologies for its emissions: Tier 3 mass balance approaches for fuel combustion, fugitive emissions from fuels, ammonia production, and nitric acid emissions; and a Tier 2 methodology based on country-specific emission factors for coal mining fugitive emissions.","ai_generated":true,"unit":"cer-001340#insight-4","date_modified":"2026-08-17"},{"text":"Because direct influence on the GHG intensity of coal-to-liquids (CTL) operations is limited by prohibitive costs and chemical reactions, Sasol focuses on energy efficiency. Specific initiatives include heat integration at Sasolburg Gas (reducing 82 kt CO2e), propylene upgrading in Secunda (reducing 9 kt CO2e), and fuel consumption management in mining (reducing 1 kt CO2e).","ai_generated":true,"unit":"cer-001340#insight-5","date_modified":"2026-08-17"}],"climate_tags":["greenhouse gas emissions","coal-to-liquids","energy efficiency","carbon budget","industrial emissions"],"geography_discussed":["Bosjesspruit","Brandspruit","Middelbult","Mooikraal Mine"],"frame_perspective":[],"analysis_type":["Emission Inventory","Mitigation Plan"]},{"id":"sei-001199","url":"https://climateinsightsdirectory.org/document/sei-001199","title":"CONTRIBUTION DETERMINEE AU NIVEAU NATIONALE - TCHAD","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"fr","date_published":null,"source_url":"https://leap.sei.org/pubattachments/5211.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Chad's updated NDC aims for a 19.3% reduction in greenhouse gas emissions by 2030 compared to a business-as-usual scenario, primarily through energy efficiency and reforestation. The plan identifies agriculture as the dominant emission source (95%) and emphasizes extreme vulnerability to droughts and floods. Implementation requires an estimated 6.7 billion USD for mitigation and between 5 and 14 billion USD for adaptation, with a heavy reliance on international financial support.","ai_generated":true,"unit":"sei-001199#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Chad aims to reduce its cumulative greenhouse gas (GHG) emissions by 88,350 kt CO2eq by 2030, representing a global mitigation objective of 19.3% compared to the reference scenario.","ai_generated":true,"unit":"sei-001199#insight-1","date_modified":"2026-10-23"},{"text":"Agriculture is the primary source of GHG emissions in Chad, accounting for approximately 95% of the total emissions in 2018, with livestock activities contributing 79% of the sector's emissions.","ai_generated":true,"unit":"sei-001199#insight-2","date_modified":"2026-10-23"},{"text":"The investment required to implement the NDC's mitigation actions is estimated at 6,700.2 million USD, with 94% of this amount (6,285.4 million USD) dependent on international financial support under the conditional scenario.","ai_generated":true,"unit":"sei-001199#insight-3","date_modified":"2026-10-23"},{"text":"Adaptation funding needs are estimated using a top-down approach at 3% of GDP, projecting costs of over 375 million USD in 2021, rising to 645 million USD annually by 2030, for a total period cost of over 5.002 billion USD.","ai_generated":true,"unit":"sei-001199#insight-4","date_modified":"2026-10-23"},{"text":"Chad is identified as one of the most climate-vulnerable countries globally, characterized as a climate 'hotspot' and ranked as the most endangered among 186 evaluated countries in a climate vulnerability study.","ai_generated":true,"unit":"sei-001199#insight-5","date_modified":"2026-10-23"},{"text":"The conditional mitigation scenario relies heavily on the energy sector and carbon sinks, including the construction of solar plants (totaling 640 MW by 2030), wind power (100 MW), and a commitment to reforest 5 million hectares by 2030 under the Bonn Challenge.","ai_generated":true,"unit":"sei-001199#insight-6","date_modified":"2026-10-23"},{"text":"Climate projections for Chad indicate a likely temperature increase of 1°C to 1.5°C by 2030 depending on the scenario, while precipitation is projected to increase by 10% to 20%, particularly in northern regions.","ai_generated":true,"unit":"sei-001199#insight-7","date_modified":"2026-10-23"},{"text":"Gender inequality is a significant factor in climate vulnerability in Chad, as women have unequal access to education and land, and their role in ecological management is often unrecognized.","ai_generated":true,"unit":"sei-001199#insight-8","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","climate finance","climate change adaptation","climate change mitigation","reforestation","solar energy","wind power","bioenergy","energy efficiency","agroforestry","climate change vulnerability","nature-based solutions","waste management","Paris Agreement"],"geography_discussed":["Sahel","Cameroon","Central African Republic","Niger","Nigeria","Sudan","Libya"],"frame_perspective":[],"analysis_type":["policy document","strategic plan","emission inventory"]}]}