{"query_echo":{"q":"","filters":{"climate_tags":["health risk assessment"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'health risk assessment' for facet 'climate_tags' is not in the controlled vocabulary."}]},"total":{"value":5,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=health+risk+assessment","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":"cer-001156","url":"https://climateinsightsdirectory.org/document/cer-001156","title":"matimba-health-risk-assessment_1-55e158bd74480a0c.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/2014/07/Matimba-Health-Risk-Assessment_1.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This November 2006 report by Airshed Planning Professionals (Pty) Ltd, commissioned by Eskom Holdings Limited, assesses the inhalation-related health risks associated with the existing Matimba Power Station and the proposed Project Alpha power station in the Lephalale area of Limpopo Province. The study focuses on particulate matter (PM10), sulphur dioxide (SO2), and nitrogen dioxide (NO2), utilizing CALPUFF dispersion modelling and 2001 census population data to estimate premature mortalities and respiratory hospital admissions.","ai_generated":true,"unit":"cer-001156#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Inhalation-related health risks from Matimba Power Station and other local sources are predicted to be relatively low, primarily because only about 22,000 people lived within approximately 25 km of the station according to 2001 Census data, with most residing upwind. These sources are estimated to cause approximately 1.5 premature deaths and 140 respiratory hospital admissions annually.","ai_generated":true,"unit":"cer-001156#insight-1","date_modified":"2026-08-17"},{"text":"The existing Matimba Power Station is the primary driver of predicted health impacts, accounting for approximately 80% of premature mortalities and 50% of respiratory hospital admissions.","ai_generated":true,"unit":"cer-001156#insight-2","date_modified":"2026-08-17"},{"text":"Sulphur dioxide (SO2) is the most significant pollutant regarding mortality, causing 82% of total non-accidental deaths and 38% of respiratory hospital admissions. PM10 accounts for 17% of mortality and 57% of hospital admissions, while nitrogen dioxide (NO2) is the least significant, contributing approximately 1% of mortality and 5% of hospital admissions.","ai_generated":true,"unit":"cer-001156#insight-3","date_modified":"2026-08-17"},{"text":"The implementation of Project Alpha is predicted to double the health risks, increasing premature deaths from 1.5 to 3 and respiratory hospital admissions from 144 to 300 per year. However, applying SO2 controls with 90% efficiency for Project Alpha could avoid approximately 1 mortality and 50 respiratory hospital admissions annually.","ai_generated":true,"unit":"cer-001156#insight-4","date_modified":"2026-08-17"},{"text":"The highest predicted health risks are expected to occur in areas with denser residential settlements, specifically Marapong and Onverwacht.","ai_generated":true,"unit":"cer-001156#insight-5","date_modified":"2026-08-17"}],"climate_tags":["energy transition","air pollution","coal-fired power stations","health risk assessment","emission controls"],"geography_discussed":["Marapong","Onverwacht","Hanglip"],"frame_perspective":[],"analysis_type":["Health Risk Assessment","Dispersion Modelling"]},{"id":"cer-001157","url":"https://climateinsightsdirectory.org/document/cer-001157","title":"matimba-health-risk-assessment_2-cb9029b2ff38c612.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/2014/07/Matimba-Health-Risk-Assessment_2.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report details the methodology and emissions inventory used for an air pollution health risk analysis concerning the existing Matimba Power Station and the proposed Project Alpha Power Station in the Limpopo Province of South Africa. It describes the use of CALMET and CALPUFF dispersion models to simulate pollutant concentrations and the subsequent application of dose-response relationships to estimate health risks, specifically total non-accidental mortality and respiratory hospital admissions.","ai_generated":true,"unit":"cer-001157#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The study utilized a combination of CALMET and CALPUFF dispersion models to simulate maximum hourly, daily, and annual average pollutant concentrations, accounting for complex terrain effects such as curved plume trajectories and spatial meteorological variability.","ai_generated":true,"unit":"cer-001157#insight-1","date_modified":"2026-08-17"},{"text":"The health risk assessment methodology involves superimposing predicted pollutant concentrations over 2001 Census spatial population data from Stats SA and applying international dose-response functions to estimate increases in 'total non-accidental mortality' and 'respiratory hospital admissions'.","ai_generated":true,"unit":"cer-001157#insight-2","date_modified":"2026-08-17"},{"text":"The existing Matimba Power Station is a coal-fired facility with a total nominal capacity of 3990 MW and a net maximum capacity of 3690 MW. While it employs particulate abatement technology that reduces emissions by over 99%, it has no abatement measures for sulphur dioxide (SO2) or nitrogen oxides (NOx).","ai_generated":true,"unit":"cer-001157#insight-3","date_modified":"2026-08-17"},{"text":"For the proposed Project Alpha Power Station, the study analyzed a configuration consisting of a 4800 MW pulverised fuel (PF) plant with a 220 m high stack and controls designed to achieve 90% sulphur dioxide control efficiency.","ai_generated":true,"unit":"cer-001157#insight-4","date_modified":"2026-08-17"},{"text":"The emissions inventory identifies several sources of air pollution in the study area beyond the power stations, including brickworks at Hanglip, household fuel combustion, coal mining at Grootegeluk Mine, and fugitive dust from ash dumps.","ai_generated":true,"unit":"cer-001157#insight-5","date_modified":"2026-08-17"},{"text":"Household fuel burning in the Lephalale Municipality wards within the study area relies heavily on wood, used by approximately 6,100 households, followed by paraffin (~1,100 households) and coal (~30 households).","ai_generated":true,"unit":"cer-001157#insight-6","date_modified":"2026-08-17"}],"climate_tags":["energy transition","air pollution","coal-fired power plants","health risk assessment","emissions inventory"],"geography_discussed":["Hanglip"],"frame_perspective":[],"analysis_type":["dispersion modelling","health impact assessment"]},{"id":"cer-001158","url":"https://climateinsightsdirectory.org/document/cer-001158","title":"matimba-health-risk-assessment_3-d92876762c631d0b.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/2014/07/Matimba-Health-Risk-Assessment_3.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report section details a health risk assessment for the area surrounding the Matimba Power Station in Limpopo Province, South Africa. It evaluates the impact of air pollutants—specifically sulphur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter (PM10)—from power station emissions, household fuel burning, and brickmaking on non-accidental mortality and respiratory hospital admissions.","ai_generated":true,"unit":"cer-001158#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Routine atmospheric emissions from the Matimba Power Station, household fuel burning, and brickmaking are estimated to cause approximately 1.5 premature deaths and 140 respiratory hospital admissions annually.","ai_generated":true,"unit":"cer-001158#insight-1","date_modified":"2026-08-17"},{"text":"The Matimba Power Station is the primary driver of health risks, accounting for approximately 80% of premature mortality (1.3 out of 1.5 deaths per year) and 50% of respiratory hospital admissions (76 out of 144 admissions).","ai_generated":true,"unit":"cer-001158#insight-2","date_modified":"2026-08-17"},{"text":"Sulphur dioxide (SO2) is the most significant pollutant regarding mortality, contributing to 82% of total non-accidental deaths, while PM10 is the primary driver for morbidity, causing 57% of respiratory hospital admissions.","ai_generated":true,"unit":"cer-001158#insight-3","date_modified":"2026-08-17"},{"text":"Nitrogen dioxide (NO2) has the lowest impact of the three studied pollutants, contributing to only about 1% of total non-accidental mortality and 5% of respiratory hospital admissions.","ai_generated":true,"unit":"cer-001158#insight-4","date_modified":"2026-08-17"},{"text":"The highest predicted health risks are concentrated in areas with denser residential settlements, specifically Marapong and Onverwacht.","ai_generated":true,"unit":"cer-001158#insight-5","date_modified":"2026-08-17"},{"text":"Annual household fuel consumption in the study area is estimated at 262 tonnes of paraffin, 1,272 tonnes of wood, and 28 tonnes of coal.","ai_generated":true,"unit":"cer-001158#insight-6","date_modified":"2026-08-17"}],"climate_tags":["energy transition","air pollution","health risk assessment","coal power"],"geography_discussed":["Marapong","Onverwacht"],"frame_perspective":[],"analysis_type":["health risk assessment","emissions modeling"]},{"id":"cer-001159","url":"https://climateinsightsdirectory.org/document/cer-001159","title":"matimba-health-risk-assessment_4-e511e2ce511b06c2.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/2014/07/Matimba-Health-Risk-Assessment_4.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report analyzes the health risks associated with air pollution from the existing Matimba Power Station and the proposed Project Alpha in Limpopo Province, South Africa. It compares scenarios with and without sulphur dioxide (SO2) controls for Project Alpha, estimating the impact on non-accidental mortality and respiratory hospital admissions (RHAs).","ai_generated":true,"unit":"cer-001159#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The existing Matimba Power Station is the primary driver of health risks in the area, estimated to be responsible for approximately 80% of predicted premature mortality and 50% of respiratory hospital admissions.","ai_generated":true,"unit":"cer-001159#insight-1","date_modified":"2026-08-17"},{"text":"Without SO2 controls, Project Alpha and its associated mine expansion are predicted to cause an additional 1.75 deaths and 155 respiratory hospital admissions per year, with 1.4 deaths and 85 RHAs attributed exclusively to Project Alpha.","ai_generated":true,"unit":"cer-001159#insight-2","date_modified":"2026-08-17"},{"text":"Implementing SO2 controls with a 90% efficiency for Project Alpha is predicted to avoid approximately 1 death and 50 respiratory hospital admissions per year.","ai_generated":true,"unit":"cer-001159#insight-3","date_modified":"2026-08-17"},{"text":"Sulphur dioxide (SO2) is the most significant pollutant regarding mortality, accounting for 82% of total non-accidental mortality, while particulate matter (PM10) is the primary driver for respiratory hospital admissions at 57%.","ai_generated":true,"unit":"cer-001159#insight-4","date_modified":"2026-08-17"},{"text":"Nitrogen dioxide (NO2) is the least significant of the three pollutants analyzed, contributing only about 1% of total non-accidental mortality and 5% of respiratory hospital admissions.","ai_generated":true,"unit":"cer-001159#insight-5","date_modified":"2026-08-17"},{"text":"The highest health risks are predicted to occur in areas with denser residential settlements, specifically Marapong and Onverwacht.","ai_generated":true,"unit":"cer-001159#insight-6","date_modified":"2026-08-17"},{"text":"Overall inhalation-related health risks are considered relatively low because of limited exposure potential, with only about 22,000 people estimated to live within approximately 25 km of the power station based on 2001 Census data.","ai_generated":true,"unit":"cer-001159#insight-7","date_modified":"2026-08-17"}],"climate_tags":["energy transition","air pollution","health risk assessment","coal-fired power stations"],"geography_discussed":["Marapong","Onverwacht"],"frame_perspective":[],"analysis_type":["health impact assessment","environmental impact assessment"]},{"id":"cer-001162","url":"https://climateinsightsdirectory.org/document/cer-001162","title":"matimba-health-risk-assessment_8-64d754a8a3e40115.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/2014/07/Matimba-Health-Risk-Assessment_8.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report, prepared by INFOTOX (Pty) Ltd for Eskom Holdings, evaluates the confidence levels and uncertainties associated with the health risk assessment of particulate matter (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) emissions from Eskom operations. It concludes that risk quantifications based on mortality and particulate matter are more reliable than those based on hospitalisation and gaseous pollutants.","ai_generated":true,"unit":"cer-001162#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The report identifies four general uncertainties applicable to all studies estimating the burden of disease from outdoor air pollution: the actual magnitude of mortality effects and their confidence intervals, the shape of the concentration-response function (linear vs. log-linear) and the existence of threshold concentrations, the influence of co-pollutants, and the baseline rates of health outcomes in the studied population.","ai_generated":true,"unit":"cer-001162#insight-1","date_modified":"2026-08-17"},{"text":"Confidence in the concentration-response functions for particulate matter (PM) is rated higher than for gaseous pollutants because PM has been subject to more extensive global research, including a WHO meta-analysis of 629 ecological time series and 160 individual or panel studies.","ai_generated":true,"unit":"cer-001162#insight-2","date_modified":"2026-08-17"},{"text":"Estimates of mortality are considered more valid than estimates of hospitalisation. This is because the WHO provides a reasonable basis for applying mortality relative risks globally, whereas hospitalisation data is scarce for non-industrialised nations and difficult to relate to the ultimate disease burden.","ai_generated":true,"unit":"cer-001162#insight-3","date_modified":"2026-08-17"},{"text":"There is a lower degree of confidence in the baseline hospitalisation data used for the Eskom assessment compared to mortality data. Mortality data is supported by the South African National Burden of Disease Study 2000, while hospitalisation numbers were extrapolated from a study in KwaZulu-Natal, which may not be representative of Mpumalanga and Gauteng due to different industrial profiles and HIV-AIDS prevalence rates.","ai_generated":true,"unit":"cer-001162#insight-4","date_modified":"2026-08-17"},{"text":"The report concludes that while hospitalisation numbers can be used for decision-making and comparing mitigation options, they should be interpreted with caution as they likely possess a wide confidence interval, meaning actual numbers in receptor communities could be considerably higher or lower than predicted.","ai_generated":true,"unit":"cer-001162#insight-5","date_modified":"2026-08-17"}],"climate_tags":["air quality","particulate matter","health risk assessment","energy transition","power plants"],"geography_discussed":["KwaZulu-Natal","Mpumalanga","Gauteng"],"frame_perspective":[],"analysis_type":["Risk Characterisation","Literature Review","Uncertainty Analysis"]}]}