India leads in emission intensity per GDP: Insights from the gridded emission inventory for residential, road transport, and energy sectors DOI

Viswanath Velamuri,

Diljit Kumar Nayak,

Shubham Sharma

et al.

Journal of Environmental Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Exposure to surface ozone and its associated health effects and economic burden in India DOI Creative Commons
Gopalakrishna Pillai Gopikrishnan,

T.S. Ardra,

J. Kuttippurath

et al.

Global Transitions, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

2

A neural operator for forecasting carbon monoxide evolution in cities DOI Creative Commons

Sanchit Bedi,

Karn Tiwari,

Prathosh AP

et al.

Published: March 12, 2025

Abstract Real-time forecasting of carbon monoxide (CO) concentrations is essential for enabling timely interventions to improve urban air quality. Conventional quality models often require extensive computational resources accurate, multi-scale predictions, limiting their practicality rapid, real-time application. To address this challenge, we introduce the Complex Neural Operator Air Quality (CoNOAir), a machine learning model that forecast CO efficiently. CoNOAir demonstrates superior performance over state-of-the-art models, such as Fourier (FNO), in both short-term (hourly) and extended (72-h) forecasts at national scale. It excels capturing extreme pollution events performs consistently across multiple Indian cities, achieving an R 2 above 0.95 hourly predictions all evaluated locations. equips authorities with effective tool issuing early warnings designing targeted intervention strategies. This work marks step forward dependable, densely populated centres.

Language: Английский

Citations

1

Assessment of Discrepancies in PM2.5 Modeling and Heavy Metal Associated Health Implications in Tier 2 and 3 Non-Attainment Cities: EDGAR-Driven WRF-Chem vs. Field Data in Alwar and Amritsar DOI
Yash Jain, Vivek Kumar, Rajyalakshmi Garaga

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126223 - 126223

Published: April 1, 2025

Language: Английский

Citations

0

Can Landuse Landcover changes influence the success of India's national clean air plans ? DOI Creative Commons

Diljit Kumar Nayak,

Gazala Habib,

Sri Harsha Kota

et al.

Atmospheric Environment X, Journal Year: 2024, Volume and Issue: 22, P. 100251 - 100251

Published: March 23, 2024

India implemented a range of multifarious strategies to address the issue substandard air quality. One such flagship scheme government is National Clean Air Programme (NCAP), which recommends sector specific reduction in emissions and increase forest cover etc. To reduce particulate matter concentrations by 40% 2026 compared 2019. The present study aims gauge impact Land Use Cover (LULC) changes alone on success NCAP, using weather research forecasting model with chemistry (WRF-Chem) integrated geographical information system remote sensing software Terrset. findings elucidate that, year 2026, Ventilation Coefficient (VC) India's eastern, central, northern, north-eastern regions anticipated register decline ranging from 18% 50% baseline Conversely, an 17% expected southern region. alterations Fallow Land, Barren sparsely vegetated land, Urban Built-up Tundra, contribute these shifts, displaying varying percentage across distinct zones. Simulations indicate that LULC are impeding planned PM2.5 levels. Projections suggest levels as high 13% regions, accompanied decrease 33% Southern zone country. Significantly, non-attainment cities Himachal Pradesh Maharashtra witness substantial rise PM2.5-induced premature mortality, Pune city projected experience over 24,525 additional deaths 2026. A comparable examination conducted for 2022, utilizing actual data, suggests if NCAP fails effectively implement changes, it may this trade-off. Addressing concern, employed WRF-Chem simulate 60 combinations, proposing enhancements conducive improving VC. results underscore critical importance preserving at least 36% category mixed encompassing plantations, orchards, areas under shifting agriculture. Additionally, barren land fallow emerges pivotal enhancing ventilation coefficient. accentuates necessity refraining further expansion densely populated counter VC trends. This provides valuable insights, highlighting need prioritize management combat alarming pollution.

Language: Английский

Citations

3

From Kitchen to Air: Emissions from India’s Thriving Restaurant Food Service Sector DOI

Medhavi Gupta,

Supriya Dwivedi,

Sri Harsha Kota

et al.

ACS ES&T Air, Journal Year: 2024, Volume and Issue: 1(6), P. 570 - 581

Published: April 17, 2024

The surge in dining-out trends and home deliveries, coupled with changing social habits work schedules, has led to a significant rise the number of restaurants India. A national PM2.5 VOC emission inventory based on comprehensive survey across 15 cities, representing different tiers, revealed disparities operating hours, fume treatment technologies, oil consumption. Data from 12 serving as foundation for inventory, demonstrated reasonable accuracy when validated against remaining three cities. Despite tier 1 cities constituting only 0.62%, they contributed 48.8% 31.4% emissions because larger restaurants. Installing purifiers small medium could reduce VOCs by 15% 58%. With an expected increase alongside restaurant growth, pollution mitigation efforts food sector are recommended.

Language: Английский

Citations

2

Fugitive road dust particulate matter emission inventory for India: A field campaign in 32 Indian cities DOI
Arpit Katiyar,

Diljit Kumar Nayak,

Pavan Kumar Nagar

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169232 - 169232

Published: Dec. 12, 2023

Language: Английский

Citations

5

Vehicle Stock Numbers and Survival Functions for On-Road Exhaust Emissions Analysis in India: 1993–2018 DOI Open Access
Sarath Guttikunda

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6298 - 6298

Published: July 23, 2024

Road transport plays a crucial role in sustaining all the personal and freight movement needs of residential, commercial, industrial activities, Indian cities, big small, vehicle exhaust emissions dust from on roads contribute to as much 50% particulate matter pollution year. Therefore, effective management is vital not only for improving current air quality but also ensuring long-term benefits efforts reduce pollution. In approved clean action plans 131 cities under national program (NCAP), more than implementable actions are transport-centric. Having reliable replicable inventory essential planning, which can help establish baseline, support scenario analysis, allow tracking progress sector. This process begins with accessing accurate stock numbers, typically obtained registration databases, traffic surveys, other governmental records. Often, low- middle-income countries like India, these numbers require extensive data cleaning before they be used analysis. paper presents cleaned, open-access database India outlines methodology build maintain an in-use age-mix future years. The covers years 1993 2018 entire country individual states, along estimates age distribution vehicles using survival functions. By offering comprehensive source, this aims sustainable urban efforts, helping policymakers stakeholders make informed decisions improve public health.

Language: Английский

Citations

1

India leads in emission intensity per GDP: Insights from the gridded emission inventory for residential, road transport, and energy sectors DOI

Viswanath Velamuri,

Diljit Kumar Nayak,

Shubham Sharma

et al.

Journal of Environmental Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

0