Srinidhi Balasubramanian

ORCID: 0000-0002-6561-5984
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About
Contact & Profiles
Research Areas
  • Air Quality and Health Impacts
  • Atmospheric chemistry and aerosols
  • Air Quality Monitoring and Forecasting
  • Atmospheric and Environmental Gas Dynamics
  • Vehicle emissions and performance
  • Climate Change and Health Impacts
  • Odor and Emission Control Technologies
  • Agriculture Sustainability and Environmental Impact
  • Soil and Water Nutrient Dynamics
  • Energy and Environment Impacts
  • Energy, Environment, Economic Growth
  • GABA and Rice Research
  • Composting and Vermicomposting Techniques
  • Wastewater Treatment and Nitrogen Removal
  • Reproductive Physiology in Livestock
  • Plant Water Relations and Carbon Dynamics
  • Environmental Impact and Sustainability
  • Engineering Education and Pedagogy
  • Animal health and immunology
  • Food Waste Reduction and Sustainability
  • Seedling growth and survival studies
  • Soil Geostatistics and Mapping
  • Agricultural Economics and Practices
  • Plant responses to elevated CO2
  • Agroforestry and silvopastoral systems

Indian Institute of Technology Bombay
2022-2024

University of Minnesota
2020-2022

University of Minnesota System
2021-2022

University of Illinois Urbana-Champaign
2014-2020

Significance Poor air quality is the largest environmental health risk in United States and worldwide, agriculture a major source of pollution. Nevertheless, has been largely absent from discussions about impacts food. We estimate quality–related States, finding that 80% 15,900 annual deaths result food-related fine particulate matter (PM 2.5 ) pollution are attributable to animal-based foods. By estimating these exploring how reduce them, this work fills critical knowledge gap. Our results...

10.1073/pnas.2013637118 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2021-05-10

Air quality in the United States has dramatically improved, yet exposure to air pollution is still associated with 100000–200000 deaths annually. Reducing number of effectively, efficiently, and equitably relies on attributing them specific emission sources, but so far, this been done for only highly aggregated groups or a select few sources interest. Here, we estimate mortality attributable all domestic, human-caused emissions primary PM2.5 secondary precursors. We present detailed...

10.1021/acs.estlett.0c00424 article EN publisher-specific-oa Environmental Science & Technology Letters 2020-07-15

 Providing sufficient and nutritious food while reducing climate emissions footprints from systems is a Grand Engineering Challenge for India. The increasing dietary pose serious threat to achieving the national net-zero goal by 2070, yet such are not accounted in India’s Climate Action Plans. Since 1990s, transitions have been largely propelled economic development intensive urbanization, occurred unequally between urban rural regions across India.The regional temporal...

10.5194/egusphere-egu25-19539 preprint EN 2025-03-15

Each year, millions of premature deaths worldwide are caused by exposure to outdoor air pollution, especially fine particulate matter (PM 2.5 ). Designing policies reduce these relies on quality modeling for estimating changes in PM concentrations from many scenarios at high spatial resolution. However, typically has substantial requirements computation and expertise, which limits policy design, countries where most -related occur. Lower requirement reduced-complexity models exist but...

10.1371/journal.pone.0268714 article EN cc-by PLoS ONE 2022-05-25

Abstract We present alternative methods for estimating spatial surrogates and temporal factors ammonia (NH 3 ) emissions from chemical fertilizer usage (CFU), in the USA, at scales used to simulate regional air quality deposition of reactive nitrogen ecosystems. The newly developed Improved Spatial Surrogate (ISS) method incorporates year‐specific sales data, high resolution crop maps, local demands allocate NH 4 km × grid cells. Results are compared with commonly gridded emission estimates...

10.1002/2015jd023219 article EN Journal of Geophysical Research Atmospheres 2015-05-14

Abstract Ammonia (NH 3 ) emissions from fertilizer application is a highly uncertain input to chemical transport models (CTMs). Reducing such uncertainty important for improving predictions of ambient NH and PM 2.5 concentrations, regulatory policy purposes exploring linkages air pollution human health ecosystem services. Here, we implement spatially temporally resolved inventory fertilizers, based on high-resolution crop maps, nitrogen demand process model, as the Comprehensive Air Quality...

10.1088/2515-7620/ab6c01 article EN cc-by Environmental Research Communications 2020-01-15

Food, feed, and fuel production are vital for human well-being. Yet current agricultural practices have resulted in extensive multi-media damages, primarily due to reactive nitrogen (Nr) emissions (NH3, N2O, NOx). Managing Nr sustainably alleviate food feed insecurity has been identified as a Grand Engineering Challenge. Systematically analysing source contributions, flows, impacts of is crucial an agro-dominant country like India that faces the dual challenge environmental security 1.6...

10.5194/egusphere-egu24-7225 preprint EN 2024-03-08

India's public health is seriously endangered by air pollution and linked to ∼0.8–0.98 million 0.17 premature deaths annually from chronic exposure particulate matter (PM2.5) ozone, respectively. Air quality forecasting tools are needed assess the spatiotemporal variability of pollutants evaluate impact potential mitigation measures. Gridded concentrations PM2.5 ozone typically derived first principle models called Chemical Transport Models (CTMs). Widespread application CTMs, particularly...

10.1021/acsestair.4c00072 article EN ACS ES&T Air 2024-11-25

Each year, millions of premature deaths worldwide are caused by exposure to outdoor air pollution, especially fine particulate matter (PM 2.5 ). Designing policies reduce relies on quality modeling for estimating changes in PM concentrations from many policy scenarios at high spatial resolution. However, typically has requirements computation and expertise, which limits design, countries where most -related occur. Lower requirement reduced-complexity models exist but generally unavailable...

10.26434/chemrxiv.14330375.v1 preprint EN cc-by-nc-nd 2021-03-29

<p>Each year, millions of premature deaths worldwide are caused by exposure to outdoor air pollution, especially fine particulate matter (PM<sub>2.5</sub>). Designing policies reduce relies on quality modeling for estimating changes in PM<sub>2.5</sub> concentrations from many policy scenarios at high spatial resolution. However, typically has requirements computation and expertise, which limits design, countries where most PM<sub>2.5</sub>-related...

10.26434/chemrxiv.14330375 preprint EN cc-by-nc-nd 2021-03-29
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