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Posts tagged “household energy”

Machine-learned modeling of PM2.5 exposures in rural Lao PDR

Hill LD, Pillarisetti A, Delapena S, Garland C, Pennise D, Pelletreau A, Koetting P, Motmans T, Vongnakhone K, Khammavong C, Boatman MR, Balmes K, Hubbard A, Smith Kr. 2019. Machine-learned modeling of PM2.5 exposures in rural Lao PDR. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2019.04.258.

Modeling the Impact of an Indoor Air Filter on Air Pollution Exposure Reduction and Associated Mortality in Urban Delhi Household

Liao J, Ye W, Pillarisetti A, Clasen TF. Modeling the Impact of an Indoor Air Filter on Air Pollution Exposure Reduction and Associated Mortality in Urban Delhi Household. Int. J. Environ. Res. Public Health 2019, 16(8), 1391; https://doi.org/10.3390/ijerph16081391    Supplementary Information

Indian annual ambient air quality standard is achievable by completely mitigating emissions from household sources

Chowdhury S, Dey S, Guttikunda S, Pillarisetti A, Smith KR, Di Girolamo L. Indian annual ambient air quality standard is achievable by completely mitigating emissions from household sources. Proceedings of the National Academy of Sciences Apr 2019, 201900888; DOI: 10.1073/pnas.1900888116. Supporting Information.

Air Pollution and Impact Analysis of a Pilot Stove Intervention: Report to the Ministry of Health and Inter-Ministerial Clean Stove Initiative of the Lao People's Democratic Republic

Hill LD, Pillarisetti A, Delapena S, Garland C, Jagoe K, Koetting P, Pelletreau A, Boatman MR, Pennise D, Smith KR. 2015. Air Pollution and Impact Analysis of a Pilot Stove Intervention: Report to the Ministry of Health and Inter-Ministerial Clean Stove Initiative of the Lao People’s Democratic Republic.

Quantifying the Health Impacts of ACE-1 Biomass and Biogas Stoves in Cambodia

University of California, Berkeley; Berkeley Air Monitoring Group, and SNV Netherlands Development Organisation. 2015. Quantifying the Health Impacts of ACE-1 Biomass and Biogas Stoves in Cambodia.

TRAINSET

trainset Access TRAINSET. TRAINSET is a graphical tool for labeling time series data. Labeling is typically used to record interesting points in time series data. For example, if you had temperature data from a sensor mounted to a stove, you could label points that constitute cooking events. Labels could be used as-is or as a training set for machine learning algorithms. For example, TRAINSET could be used to build a training set for an algorithm that detects cooking events in temperature time series data.

WHO Homes Model

who_homes.png Access WHO HOMES Model. The WHO HOMES model is an online implementation of a single compartment boxmodel appropriate for estimating PM or CO concentrations resulting from the combustion of solid fuels in homes. It contains a number of easy to manipulate parameters, like air changes per hour, cooking time, etc, that are used to recreate distributions from which Monte Carlo analyses can be performed. It can estimate exposures using a number of methods.

WHO Performance Targets (PT) Model

who_pt.png Access WHO Performance Targets Model. The WHO PT model is an online implementation of a single compartment boxmodel appropriate for estimating PM or CO concentrations resulting from the combustion of solid fuels in homes. It contains a number of easy to manipulate parameters, like air changes per hour, cooking time, etc, that are used to recreate distributions from which Monte Carlo analyses can be performed.

Household Air Pollution Intervention Tool (HAPIT)

HAPIT screenshot

Access HAPIT. HAPIT estimates health changes due to interventions designed to lower exposures to household air pollution (HAP) of household members currently using unclean fuels (wood, dung, coal, kerosene, and others). These interventions could be due to cleaner burning stoves, cleaner fuels, other ventilation changes, motivating changes in behavior, etc. HAPIT currently uses background disease rates and relationships between exposure to PM2.5 and health outcomes described as part of the Institute for Health Metrics and Evaluation’s 2013 Global Burden of Disease and Comparative Risk Assessment efforts.

The Pink Key: a low-cost stove use monitor to enable conditional cash transfers

Pillarisetti A*, Gill M, Allen T, Madhavan S, Dhongade A, Ghorpade M, Roy S, Balakrishnan K, Juvekar S, Smith KR. 2019. The Pink Key: a low-cost stove use monitor to enable conditional cash transfers. Ecohealth 15 (4) : 768-776. doi.org/10.1007/s10393-018-1379-5

Daily average exposures to carbon monoxide from combustion of biomass fuels in rural households of Haryana, India

Gautam S, Pillarisetti A, Yadav A, Singh D, Arora NK, Smith KR. 2018. Daily average exposures to carbon monoxide from combustion of biomass fuels in rural households of Haryana, India. Environment, Development, and Sustainability. doi.org/10.1007/s10668-018-0131-1

The Impact of Household Energy Interventions on Health and Finances in Haryana, India: An Extended Cost-Effectiveness Analysis

Pillarisetti A*, Jamison D, Smith KR. 2017. The Impact of Household Energy Interventions on Health and Finances in Haryana, India: An Extended Cost-Effectiveness Analysis. In C. Mock, O. Kobusingye, R. Nugent, K. R. Smith (Eds.), Injury Prevention & Environmental Health, Disease Control Priorities, third edition, volume 7. Washington, DC: World Bank.

The impact of household cooking and heating with solid fuels on ambient PM2.5 in peri-urban Beijing

Liao J, Zimmerman A, Chafe ZA, Pillarisetti A, Yu T, Shan M, Yang X, Li H, Liu G, Smith KR. 2017. The impact of household cooking and heating with solid fuels on ambient PM2.5 in peri-urban Beijing. Atmospheric Environment. doi.org/10.1016/j.atmosenv.2017.05.053

Air pollution-related health and climate benefits of clean cookstove programs in Mozambique

Anenberg SC, Henze DK, Lacey F, Irfan A, Kinney P, Kleiman G, Pillarisetti A. 2016. Air pollution-related health and climate benefits of clean cookstove programs in Mozambique. Environmental Research Letters. doi: 10.1088/1748-9326/aa5557

Probe-based measurements of moisture in dung fuel for emissions measurements.

Gautam S, Edwards R, Yadav A, Weltman R, Pillarisetti A, Arora NK, Smith KR. 2016. Probe-based measurements of moisture in dung fuel for emissions measurements. Energy for Sustainable Development. doi: 10.1016/j.esd.2016.09.003