{"query_echo":{"q":"","filters":{"analysis_type":["modelling"]},"warnings":[]},"total":{"value":54,"relation":"eq"},"page":3,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=modelling&page=3","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":"cdkn-000220","url":"https://climateinsightsdirectory.org/document/cdkn-000220","title":"Land Use, Food Security and Climate Change in Vietnam","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2014-07-29","source_url":"https://cdkn.org/resource/land-use-food-security-and-climate-change-in-vietnam","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document introduces a study that combines a Computable General Equilibrium (CGE) model with a spatially explicit land use model to analyze the interconnectedness of socio-economic development, land use, climate change, and food security in Vietnam from 2010 to 2030. It aims to provide decision-makers with insights into the spatial patterns of land use change and the resulting implications for greenhouse gas emissions and food security under three different scenarios.","ai_generated":true,"unit":"cdkn-000220#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The research employs a 'global-to-local' methodology that integrates an economic Computable General Equilibrium (CGE) model with a spatially explicit land use model to analyze changes across global, national, and landscape levels between 2010 and 2030.","ai_generated":true,"unit":"cdkn-000220#insight-1","date_modified":"2026-10-23"}],"climate_tags":["land-use change","food security","greenhouse gas emissions","climate change mitigation","climate change adaptation","biodiversity"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["modelling"]},{"id":"sei-000955","url":"https://climateinsightsdirectory.org/document/sei-000955","title":"Occupant exposure to indoor air pollutants in modern European offices: an integrated modelling approach","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2014-01-17","source_url":"https://www.sei.org/publications/occupant-exposure-to-indoor-air-pollutants-in-modern-european-offices-an-integrated-modelling-approach/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The paper introduces INDAIR-CHEM, a model combining indoor air chemistry with physical and probabilistic exposure modelling. Testing across eight European cities shows that extreme heat-waves and poor ventilation can increase personal exposure to indoor pollutants. While reduced ventilation limits ozone ingress, it allows secondary species to persist longer, potentially increasing cumulative exposure. Additionally, the timing of cleaning with limonene-based products affects exposure risks for cleaning staff and office workers due to diurnal ozone variations.","ai_generated":true,"unit":"sei-000955#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Extreme weather events, specifically heat-waves, can lead to degraded outdoor air quality and a subsequent increase in personal exposure to both primary and secondary pollutants within indoor environments.","ai_generated":true,"unit":"sei-000955#insight-1","date_modified":"2026-10-23"},{"text":"Ventilation rates create a trade-off in pollutant exposure: lower ventilation reduces the amount of ozone entering from outdoors but increases the duration that secondary species remain indoors, which may lead to higher cumulative exposure for workers.","ai_generated":true,"unit":"sei-000955#insight-2","date_modified":"2026-10-23"},{"text":"The timing of cleaning with limonene-based products influences exposure to secondary oxidation products; cleaning staff face lower risks in the early morning when outdoor ozone concentrations are typically lower than in the late afternoon.","ai_generated":true,"unit":"sei-000955#insight-3","date_modified":"2026-10-23"}],"climate_tags":["indoor air quality"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["modelling"]},{"id":"bc3res-000130","url":"https://climateinsightsdirectory.org/document/bc3res-000130","title":"Decarbonising urban transportation","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2013-11","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/201312131128431813286279.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research paper evaluates strategies to decarbonise urban transportation, focusing on modal shifts, fuel switching, and electricity decarbonisation. Using a Spanish urban area as a model, it finds that aggressive measures—including a 50% reduction in car demand, improved fuel economy, and a shift to nuclear or CCS-equipped power—are necessary to significantly lower emissions and health burdens from particulate matter.","ai_generated":true,"unit":"bc3res-000130#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Transport-related carbon emissions are projected to double by 2050 relative to 2010 levels if no new climate policies are implemented.","ai_generated":true,"unit":"bc3res-000130#insight-1","date_modified":"2026-10-23"},{"text":"To achieve a reduction of 20% or more in future emissions compared to present levels, aggressive changes are required across vehicle fuel economy (+50%), urban mobility patterns (reduced private car demand), fuel choice (biofuels and electrons), and the electricity generation mix.","ai_generated":true,"unit":"bc3res-000130#insight-2","date_modified":"2026-10-23"},{"text":"In the base scenario for a Spanish urban area, combining a 25% modal shift from cars to public transport with a switch from diesel to CNG or biodiesel in buses only reduces aggregate carbon emissions by approximately 10%.","ai_generated":true,"unit":"bc3res-000130#insight-3","date_modified":"2026-10-23"},{"text":"The most significant carbon reductions are achieved through the decarbonisation of the electricity supply; nuclear-based electricity scenarios result in the lowest aggregate emissions.","ai_generated":true,"unit":"bc3res-000130#insight-4","date_modified":"2026-10-23"},{"text":"Switching to nuclear generation between 2020 and 2030, combined with aggressive transport changes, can reduce carbon aggregate emissions by 46% relative to the base scenario and lower absolute 2050 emissions by 55% compared to 2010.","ai_generated":true,"unit":"bc3res-000130#insight-5","date_modified":"2026-10-23"},{"text":"Tailpipe emissions of particulate matter (PM2.5) are the primary driver of urban health burdens, accounting for 95% of these impacts.","ai_generated":true,"unit":"bc3res-000130#insight-6","date_modified":"2026-10-23"}],"climate_tags":["urban transport","greenhouse gas emissions","biofuel","electric vehicle","carbon capture and storage","nuclear power","renewable energy","particulates","air quality","land-use change","fuel economy"],"geography_discussed":["Bilbao","Europe","United States","Germany","Sweden","United Arab Emirates","Canada"],"frame_perspective":[],"analysis_type":["comparative assessment","scenario analysis","modelling"]},{"id":"sei-000818","url":"https://climateinsightsdirectory.org/document/sei-000818","title":"Scenario-based water resources planning for utilities in the Lake Victoria region","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2013-04-09","source_url":"https://www.sei.org/publications/scenario-based-water-resources-planning-for-utilities-in-the-lake-victoria-region/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study utilized IWRM models for Bukoba, Masaka, and Kisii to evaluate water resource sustainability. Findings indicate that all three towns are currently infrastructure-limited, with varying degrees of urgency for investment and different long-term supply outlooks based on local conditions.","ai_generated":true,"unit":"sei-000818#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Water supply in Bukoba, Masaka, and Kisii is currently limited by infrastructure. In Masaka, reaching existing design capacity could satisfy most demand until the 2020s, after which new supply and conservation strategies are required.","ai_generated":true,"unit":"sei-000818#insight-1","date_modified":"2026-10-23"},{"text":"In Bukoba, short-term leakage reduction offers little improvement, but doubling capacity would satisfy all demands through 2050. Kisii is identified as needing urgent major infrastructure investment.","ai_generated":true,"unit":"sei-000818#insight-2","date_modified":"2026-10-23"},{"text":"Simulations for Masaka indicate that while wetland sources could meet all demand until 2050, this would result in almost no water remaining downstream of the intake.","ai_generated":true,"unit":"sei-000818#insight-3","date_modified":"2026-10-23"}],"climate_tags":["Integrated Water Resources Management","climate change","water-supply management","infrastructure investment"],"geography_discussed":["Bukoba","Tanzania","Masaka","Uganda","Kisii","Kenya"],"frame_perspective":[],"analysis_type":["scenario-based planning","modelling"]},{"id":"bc3res-000114","url":"https://climateinsightsdirectory.org/document/bc3res-000114","title":"Development of a New modelling Framework to Estimate the Carbon Footprint from Basque Dairy Farms","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2013-01","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/201301111109111141425588.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research introduces a modelling framework combining the NGAUGE field-scale model and a new LANDDAIRY farm-scale submodel to quantify greenhouse gas (GHG) emissions from Basque dairy farms. A case study of 17 farms in Bizkaia found mean total GHG emissions of 385 ± 175 t CO2-eq yr-1, with emissions per litre of energy-corrected milk ranging from 0.86 to 2.11 kg CO2-eq. The study identifies methane from enteric fermentation and emissions from purchased feed as the primary contributors to the carbon footprint, suggesting that purchased feed can serve as a proxy for estimating total farm emissions.","ai_generated":true,"unit":"bc3res-000114#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The proposed modelling framework uses a 'cradle to the farm gate LCA' approach to simulate the effects of local soil and climate conditions on CO2, CH4, and N2O emissions.","ai_generated":true,"unit":"bc3res-000114#insight-1","date_modified":"2026-10-23"},{"text":"The framework integrates two primary components: a modified version of the NGAUGE field-scale model for soil-based stages and a new LANDDAIRY farm-scale submodel for housing, manure storage, and silage making.","ai_generated":true,"unit":"bc3res-000114#insight-2","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","greenhouse gas emissions","methane","nitrous oxide","carbon dioxide","life cycle assessment"],"geography_discussed":["Karrantza valley","Galicia","Portugal"],"frame_perspective":[],"analysis_type":["modelling","case study"]},{"id":"sei-001669","url":"https://climateinsightsdirectory.org/document/sei-001669","title":"Alternative Future Pathways for Household Biomass Use in Ethiopia","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2013","source_url":"https://www.sei.org/mediamanager/documents/Publications/SEI-DB-2013-Ethiopia-energy-switching.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the reliance of Ethiopian households on traditional biomass, which accounts for approximately 90% of total primary energy use. Using the LEAP model, it compares a baseline scenario with 'moderate shift' and 'high shift' scenarios. The findings indicate that transitioning to improved cookstoves and electricity could reduce biomass demand by 53% to 67% compared to the baseline by 2030, while contributing significantly to national GHG reduction targets.","ai_generated":true,"unit":"sei-001669#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Traditional biomass, including wood, charcoal, dung, and agricultural residues, constitutes roughly 90% of total primary energy use in Ethiopia, with 99% of rural and 84% of urban households relying on it as their primary cooking fuel.","ai_generated":true,"unit":"sei-001669#insight-1","date_modified":"2026-10-23"},{"text":"In a baseline scenario where current practices continue, biomass demand is projected to double by 2030 relative to 2010 levels, reaching 2.1 Exajoules (135 million tonnes).","ai_generated":true,"unit":"sei-001669#insight-2","date_modified":"2026-10-23"},{"text":"The 'moderate shift' and 'high shift' scenarios significantly reduce biomass use compared to the baseline, with decreases of 53% and 67% respectively. By 2030, wood demand would drop to 0.98 EJ (63 million tonnes) in the moderate scenario and 0.7 EJ (45 million tonnes) in the high shift scenario.","ai_generated":true,"unit":"sei-001669#insight-3","date_modified":"2026-10-23"},{"text":"Improved cookstoves are the primary driver of wood savings, accounting for approximately 64% of the total savings in the shift scenarios, while fuel-switching accounts for 36%.","ai_generated":true,"unit":"sei-001669#insight-4","date_modified":"2026-10-23"},{"text":"The transition to efficient energy could save between 33 and 44 million tonnes of CO2-equivalent in 2030 from avoided land use change, representing 13% to 18% of Ethiopia's national target to reduce annual GHG emissions by 250 million tonnes by 2030.","ai_generated":true,"unit":"sei-001669#insight-5","date_modified":"2026-10-23"},{"text":"Urban households are more likely to switch to electricity for cooking as GDP grows, while rural households are more likely to adopt improved wood stoves due to the lack of cash for new fuels.","ai_generated":true,"unit":"sei-001669#insight-6","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","land-use change","deforestation","biogas","ethanol fuel","energy efficiency","climate change mitigation"],"geography_discussed":["Amhara Region"],"frame_perspective":[],"analysis_type":["scenario analysis","modelling"]},{"id":"sei-000071","url":"https://climateinsightsdirectory.org/document/sei-000071","title":"Water scarcity and climate change adaptation for Yemen's vulnerable communities","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2011-08-02","source_url":"https://www.sei.org/publications/water-scarcity-and-climate-change-adaptation-for-yemens-vulnerable-communities/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research uses WEAP software to model water scarcity in Sana’a, Sadah, and Aden City, finding that current and predicted consumption patterns are a more significant driver of vulnerability than climate change and will lead to the full depletion of available supplies without urgent intervention.","ai_generated":true,"unit":"sei-000071#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current and projected water consumption patterns are a more significant driver of vulnerability in the studied regions of Yemen than potential climate change, and these patterns are expected to fully deplete available water supplies.","ai_generated":true,"unit":"sei-000071#insight-1","date_modified":"2026-10-23"},{"text":"Without the implementation of new strategies to balance water supply and demand, the water crisis in the case study areas of Sana’a, Sadah, and Aden City is expected to worsen.","ai_generated":true,"unit":"sei-000071#insight-2","date_modified":"2026-10-23"},{"text":"Management strategies identified through stakeholder processes have the capacity to increase resilience and reduce vulnerability to water scarcity.","ai_generated":true,"unit":"sei-000071#insight-3","date_modified":"2026-10-23"}],"climate_tags":["water scarcity","climate change adaptation","climate resilience"],"geography_discussed":["Sanaa","Sadah","Aden City"],"frame_perspective":[],"analysis_type":["modelling","case study"]},{"id":"iai-000487","url":"https://climateinsightsdirectory.org/document/iai-000487","title":"SACC: An international consortium for the study of ocean related global and climate changes in South America (CRN2076)","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"fact sheet","language":"en","date_published":"2010-03","source_url":"https://iai.int/admin/site/sites/default/files/uploads/2014/03/CRN2_76.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The SACC consortium studies the physical and biogeochemical exchanges between the deep ocean and the Patagonian shelf to improve global carbon models and understand marine biodiversity. Initial results indicate that the Patagonia shelf absorbs approximately 17 Tg C yr-1 and that the shelf break fishery, representing 3% of global production, shows signs of overfishing. The project also emphasizes the role of freshwater input from the Rio de la Plata and Patos Lagoon in the Southwest Atlantic ecosystem and supports the BioMare fishery and oceanographic information system.","ai_generated":true,"unit":"iai-000487#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Patagonia shelf accounts for 4% of global continental margins and absorbs approximately 17 million metric tons of carbon per year.","ai_generated":true,"unit":"iai-000487#insight-1","date_modified":"2026-10-23"},{"text":"The fishery at the shelf break, which produces about two million tons of fish and squid annually (3% of global production), exhibits signs of overfishing evidenced by increasing jellyfish populations; this may impact plankton and CO2 capture via photosynthesis.","ai_generated":true,"unit":"iai-000487#insight-2","date_modified":"2026-10-23"},{"text":"Freshwater inputs from the Patos Lagoon and Rio de la Plata are significant for the diversity and production of the ecosystem in the Southwest Atlantic.","ai_generated":true,"unit":"iai-000487#insight-3","date_modified":"2026-10-23"},{"text":"The project supports the development of advanced ocean models to better represent upwelling and circulation mechanisms that maintain shelf break productivity, and maintains BioMare, an integrated information system for fishery and oceanographic data to support policies.","ai_generated":true,"unit":"iai-000487#insight-4","date_modified":"2026-10-23"}],"climate_tags":["carbon sequestration"],"geography_discussed":["Southwest Atlantic","Río de la Plata","Patos Lagoon","Argentina","Brazil","Uruguay","United States","Chile"],"frame_perspective":[],"analysis_type":["observational study","modelling"]},{"id":"iai-000477","url":"https://climateinsightsdirectory.org/document/iai-000477","title":"Caribbean Coastal Scenarios (CCS): an integrated analysis of inland-coastal linkages to guide sustainable use and protection of coastal ecosystems (CRN2061)","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"fact sheet","language":"en","date_published":"2010-02","source_url":"https://iai.int/admin/site/sites/default/files/CRN2061.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Caribbean Coastal Scenarios (CCS) project models the flow of water, sediments, and contaminants from inland watersheds to coastal ecosystems in several Caribbean island nations. Initial findings highlight the degradation of water quality due to dams, sewage, and deforestation, specifically noting wastewater treatment gaps in Puerto Rico and agricultural runoff in the Dominican Republic.","ai_generated":true,"unit":"iai-000477#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project has mapped land-cover and soils for 84 watersheds draining to coastal waters across the Dominican Republic, Jamaica, and Puerto Rico, and has developed operational hydrological models to simulate runoff.","ai_generated":true,"unit":"iai-000477#insight-1","date_modified":"2026-10-23"},{"text":"Human interventions such as dam construction, channeling, and sewage discharge have degraded river water quality, leading to higher sedimentation, nutrient export, and algal biomass.","ai_generated":true,"unit":"iai-000477#insight-2","date_modified":"2026-10-23"},{"text":"Specific regional pressures include a 50% wastewater treatment rate in Puerto Rico leading to nitrate and phosphate contamination, and deforestation and slash-and-burn agriculture in the Haina River watershed of the Dominican Republic causing flooding and infrastructure destruction.","ai_generated":true,"unit":"iai-000477#insight-3","date_modified":"2026-10-23"},{"text":"Expanding water-intensive rice cultivation in Cuba and the Dominican Republic, combined with population growth, is creating conflicts over future water allocations.","ai_generated":true,"unit":"iai-000477#insight-4","date_modified":"2026-10-23"}],"climate_tags":["coastal ecosystem","water quality","climate change","deforestation","wastewater treatment","hydrological model"],"geography_discussed":["Haina River"],"frame_perspective":[],"analysis_type":["modelling","environmental assessment"]},{"id":"sei-000177","url":"https://climateinsightsdirectory.org/document/sei-000177","title":"Transitions Model for Sustainable Mobility","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2010-01-08","source_url":"https://www.sei.org/publications/transitions-model-sustainable-mobility/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The paper introduces a dual-level agent-based and system dynamics model to evaluate transitions to sustainable mobility. Using UK data, the model indicates that while Hydrogen Fuel Cell Vehicles may dominate in the long term (post-2030), biofuels and ICE-electric hybrids are the primary short-to-medium term alternatives due to existing development and infrastructure compatibility. The findings suggest that technological transitions are more probable than lifestyle change transitions, which require sustained environmental pressure and consumer behavioural shifts.","ai_generated":true,"unit":"sei-000177#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Based on UK data, the model predicts that Hydrogen Fuel Cell Vehicles (FCVs) will eventually dominate, but only after 2030. In the interim period of 10–30 years, biofuels and Internal Combustion Engine (ICE)-electric hybrids are the primary alternatives to the current regime because they are already developed and align better with existing infrastructures.","ai_generated":true,"unit":"sei-000177#insight-1","date_modified":"2026-10-23"},{"text":"The model indicates that transitions driven by technology are the most likely to occur. In contrast, transitions based on lifestyle changes are dependent on behavioural changes from consumers and sustained environmental pressure on society.","ai_generated":true,"unit":"sei-000177#insight-2","date_modified":"2026-10-23"},{"text":"The modelling approach is characterized by the combination of system dynamics structure and agent-based modelling techniques, featuring a unique two-level agent system consisting of a small number of complex agents (subsystems within society) and a larger number of simple agents.","ai_generated":true,"unit":"sei-000177#insight-3","date_modified":"2026-10-23"}],"climate_tags":["sustainable transport","biofuel","hybrid electric vehicle"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["modelling"]},{"id":"cer-000827","url":"https://climateinsightsdirectory.org/document/cer-000827","title":"dd4-2904ac32775a701d.pdf","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/2015/04/DD4.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Air Quality Management Plan (AQMP) for eThekwini Municipality, produced in April 2007 by eThekwini Health and the Norwegian Institute for Air Research, establishes a scientific framework to address urban air pollution. The plan focuses on priority pollutants—including sulphur dioxide, particulate matter, benzene, and odours—particularly within the industrialised South Durban Basin. It integrates a monitoring network, emission inventories, and dispersion modelling via the AirQUIS software system to inform abatement strategies and ensure compliance with the National Environmental Management: Air Quality Act of 2005.","ai_generated":true,"unit":"cer-000827#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The eThekwini Municipality has seen a significant reduction in sulphur dioxide (SO2) emissions between 1997 and 2006, with a reported 45% decrease. This improvement is attributed to fuel switching, the installation of a scrubber at Mondi, and the substitution of coal with Sasol gas in some industries.","ai_generated":true,"unit":"cer-000827#insight-1","date_modified":"2026-08-17"},{"text":"A health study conducted among schoolchildren found that those living in the industrialised south of the city have a statistically higher risk of persistent asthma (Odds Ratio=1.82) and bronchial hyper responsiveness (Odds Ratio=2.55) compared to those in the north.","ai_generated":true,"unit":"cer-000827#insight-2","date_modified":"2026-08-17"},{"text":"Benzene concentrations in eThekwini for 2004 and 2005 were generally below the World Health Organization (WHO) guideline of 10 μg/m³, but most sites exceeded the 2010 target of 5 μg/m³. Gasoline vehicles were identified as the largest source of volatile organic compounds (VOCs), emitting 15,085 tons per annum in 2004.","ai_generated":true,"unit":"cer-000827#insight-3","date_modified":"2026-08-17"},{"text":"Particulate matter (PM10) exhibits a regional profile, meaning concentrations are influenced by sources outside the municipality. All monitoring stations in the network recorded exceedances of the 24-hour standard in 2005, with the highest levels often coinciding with winter inversion conditions.","ai_generated":true,"unit":"cer-000827#insight-4","date_modified":"2026-08-17"},{"text":"Odours are a primary source of public complaints in eThekwini, particularly in the South Durban Basin. Key contributors include hydrogen sulphide (H2S) from the Southern wastewater treatment works, Mondi, and refineries, as well as formaldehyde from industries in the Jacobs area.","ai_generated":true,"unit":"cer-000827#insight-5","date_modified":"2026-08-17"},{"text":"Flaring at oil refineries is a significant source of pollution complaints, accounting for 10% of such complaints in the South Durban Basin. The plan notes that small-scale flaring is particularly problematic because poor combustion can lead to the release of un-combusted hydrocarbons and H2S, causing odours.","ai_generated":true,"unit":"cer-000827#insight-6","date_modified":"2026-08-17"},{"text":"The municipality utilizes the AirQUIS (Air Quality Information System) software, developed by the Norwegian Institute for Air Research, to integrate environmental monitoring, emission modelling, and dispersion and exposure modelling.","ai_generated":true,"unit":"cer-000827#insight-7","date_modified":"2026-08-17"}],"climate_tags":["air quality","industrial emissions","urban pollution","public health","energy transition"],"geography_discussed":["South Durban Basin","Jacobs","Warwick Junction","Island View","Isipingo","Amaoti"],"frame_perspective":[],"analysis_type":["monitoring","modelling","health impact assessment","policy framework"]},{"id":"cer-001498","url":"https://climateinsightsdirectory.org/document/cer-001498","title":"SECTORAL EMISSION TARGETS Technical Report","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/2024/07/Annexure-D-SETs-Technical-Report1.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report details a bottom-up integrated model developed in Analytica to project greenhouse gas emissions in South Africa to 2050. It incorporates a Mitigation Potential Analysis (MPA), GHG emission pathways, and a socio-economic model linked via a Social Accounting Matrix (SAM). The model assesses various sectors—including energy, industry, transport, waste, and AFOLU—applying specific mitigation measures and policies such as the Carbon Tax Act of 2019 and the IRP 2023. It provides a framework for evaluating the socio-economic impacts of decarbonisation pathways on employment, output, and household consumption across different income deciles.","ai_generated":true,"unit":"cer-001498#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The energy sector is the largest source of emissions in South Africa, accounting for 86% of national emissions in 2022, with the electricity subsector contributing 87% of that total.","ai_generated":true,"unit":"cer-001498#insight-1","date_modified":"2026-10-23"},{"text":"The transport sector was the second largest emissions contributor in 2022, representing 12% of national emissions, with road transport accounting for 11.75% of the total.","ai_generated":true,"unit":"cer-001498#insight-2","date_modified":"2026-10-23"},{"text":"The industry sector accounted for 13% of national emissions in 2022, with more than half of these being process emissions and 47% resulting from energy emissions.","ai_generated":true,"unit":"cer-001498#insight-3","date_modified":"2026-10-23"},{"text":"The Integrated Model utilizes a carbon tax based on the Carbon Tax Act of 2019, with a 2023 rate of R 159 per tonne of CO2eq, aiming to reach at least $30 by 2030.","ai_generated":true,"unit":"cer-001498#insight-4","date_modified":"2026-10-23"},{"text":"For the electricity sector, the model uses the IRP 2023 build plan for Horizon 1 (up to 2030) and offers six potential scenarios for Horizon 2 (2031 to 2050), including 'Renewable energy' and 'Renewable energy and nuclear'.","ai_generated":true,"unit":"cer-001498#insight-5","date_modified":"2026-10-23"},{"text":"The socio-economic model is a demand-driven simulation based on a Social Accounting Matrix (SAM) that estimates impacts on employment, average wages, investment, and prices across household income deciles.","ai_generated":true,"unit":"cer-001498#insight-6","date_modified":"2026-10-23"},{"text":"In the AFOLU sector, the model identifies several restoration and conservation measures, such as restoring sub-tropical thickets (500,000 ha) and broadleaf woodland (300,000 ha).","ai_generated":true,"unit":"cer-001498#insight-7","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","carbon tax","energy transition","electricity generation","renewable energy","industrial emission","road transport","rail transport","aviation","water transport","waste management","carbon sequestration","energy efficiency","hydrofluorocarbon"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical report","modelling","policy assessment"]},{"id":"sei-001207","url":"https://climateinsightsdirectory.org/document/sei-001207","title":"A Copenhagen Prognosis: Towards a Safe Climate Future","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.sei.org/mediamanager/documents/Publications/Climate-mitigation-adaptation/a20copenhagen20prognosis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that current political emission targets are insufficient to prevent devastating climate impacts and that global GHG emissions must decline rapidly after 2015 to reach essentially zero by midcentury. It asserts that while such a transition is technically feasible and economically affordable, it requires a 'Great Transformation' of institutions and policy, including a global climate fund and a shift in agricultural systems from emission sources to sinks. The report emphasizes that industrialized nations must reduce their emission allocations to zero or negative levels by 2020-2030 to allow developing countries the remaining carbon budget necessary to expand energy access and alleviate poverty.","ai_generated":true,"unit":"sei-001207#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"To maintain a 75 per cent chance of keeping warming below 2°C, global greenhouse gas emissions must decline extremely rapidly after 2015 and reach essentially zero by 2050.","ai_generated":true,"unit":"sei-001207#insight-1","date_modified":"2026-10-23"},{"text":"Current emission pathways that peak in 2020 and decline to 50 per cent below 1990 levels by 2050 are insufficient, posing a risk greater than 50 per cent that warming will exceed 2°C.","ai_generated":true,"unit":"sei-001207#insight-2","date_modified":"2026-10-23"},{"text":"Energy transformations toward a low-carbon future are technologically possible and economically viable, with aggregate losses for the century estimated to be below 2.5 per cent of Gross World Product.","ai_generated":true,"unit":"sei-001207#insight-3","date_modified":"2026-10-23"},{"text":"Industrialized countries' emission allocations must decline to zero or become negative between 2020 and 2030 to provide developing countries with a sufficient share of the remaining global carbon dioxide budget, which is less than 1000 billion tons.","ai_generated":true,"unit":"sei-001207#insight-4","date_modified":"2026-10-23"},{"text":"Agricultural land use systems, which contribute 17-30 per cent of global GHG emissions, must be transformed from a net source of emissions into a net global sink to support a world population of approximately 9 billion by 2050.","ai_generated":true,"unit":"sei-001207#insight-5","date_modified":"2026-10-23"},{"text":"Reducing CO2 is insufficient alone; targeting the other 45 per cent of climate forcing—including methane, HFCs, lower-atmosphere ozone, and black carbon aerosols—is critical to forestalling abrupt climate change.","ai_generated":true,"unit":"sei-001207#insight-6","date_modified":"2026-10-23"},{"text":"Regional analyses indicate that the EU could achieve 40 per cent emission reductions by 2020 through domestic action, while China and India can maintain economic growth and energy access while bending their emission trajectories.","ai_generated":true,"unit":"sei-001207#insight-7","date_modified":"2026-10-23"}],"climate_tags":["carbon budget","greenhouse gas emissions","climate finance","renewable energy","energy poverty","biodiversity loss","energy efficiency","climate justice","feed-in tariff"],"geography_discussed":["European Union","People's Republic of China","India","Kenya"],"frame_perspective":[],"analysis_type":["synthesis","modelling","policy analysis"]},{"id":"wwfza-000011","url":"https://climateinsightsdirectory.org/document/wwfza-000011","title":"Illustrative People’s Energy Plan (IPEP)","publisher":{"name":"WWF South Africa","organization":"wwf-south-africa"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://www.wwf.org.za:443/our_research/publications/?56963/ipep-digital-summary","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Illustrative People’s Energy Plan (IPEP), developed by WWF South Africa and the Energy Systems Research Group (ESRG) at the University of Cape Town, serves as a model for a transparent, climate-friendly energy plan for South Africa. It aims to show how the country can fulfill climate commitments while maintaining affordable and reliable energy, filling a gap left by the absence of a national Integrated Energy Plan (IEP) for over twenty years.","ai_generated":true,"unit":"wwfza-000011#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"South Africa has lacked an Integrated Energy Plan (IEP)—the primary document for guiding the future use of coal, gas, nuclear, and renewable energy—for more than twenty years, although a new draft is anticipated early next year.","ai_generated":true,"unit":"wwfza-000011#insight-1","date_modified":"2026-08-17"},{"text":"The Illustrative People’s Energy Plan (IPEP) was created by WWF South Africa and the Energy Systems Research Group (ESRG) at the University of Cape Town, with financial support from the WWF Nedbank Green Trust, to demonstrate a transparent, nature- and climate-friendly approach to energy planning that ensures reliability and affordability.","ai_generated":true,"unit":"wwfza-000011#insight-2","date_modified":"2026-08-17"}],"climate_tags":["energy transition","climate commitments","renewable energy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["modelling"]}]}