Regional scale air quality modelling system in India: issues, challenges and suggestive framework
Abstract The deteriorating air quality has become a matter of concern throughout the world with significant seasonal variations on a regional and transboundary scale. The selection of control strategies is comparatively more challenging on a regional or transboundary scale owing to the lack of accurate assessment of the contribution of various pollution sources. The present paper attempts to review the application of regional air quality models for accurate prediction. The main focus of the review is to understand the operational challenges of carrying out WRF-Chem model simulation considering technical expertise, time and computational requirements. WRF-Chem is a regional-scale chemistry transport model, which has been used by researchers in the past to assess transboundary and regional ambient air quality and its impacting sources. The model generally takes input from global databases which are mostly dynamic variables and need to be updated with primary survey data. The high-resolution local information, including Land-Use-Land-Cover, local anthropogenic emissions and biomass emissions, is an important database for the model and must be updated at regular intervals. This regional scale chemistry transport model is computationally expensive and requires specialised knowledge, thus, challenging to be used by various air quality managing agencies operating at state and city levels. The review also discusses agencies involved in regional scale modelling in different countries with their roles and responsibilities. Considering this complexity, it is recommended to phase-wise develop a centre of excellence for regional air quality modelling in the country..
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:16 |
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| Enthalten in: |
Arabian journal of geosciences - 16(2023), 6 vom: 26. Mai |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Shukla, Nidhi [VerfasserIn] |
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| Links: |
Volltext [lizenzpflichtig] |
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| Themen: |
Atmospheric chemistry |
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| Anmerkungen: |
© Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| doi: |
10.1007/s12517-023-11474-2 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
OLC214414754X |
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| 520 | |a Abstract The deteriorating air quality has become a matter of concern throughout the world with significant seasonal variations on a regional and transboundary scale. The selection of control strategies is comparatively more challenging on a regional or transboundary scale owing to the lack of accurate assessment of the contribution of various pollution sources. The present paper attempts to review the application of regional air quality models for accurate prediction. The main focus of the review is to understand the operational challenges of carrying out WRF-Chem model simulation considering technical expertise, time and computational requirements. WRF-Chem is a regional-scale chemistry transport model, which has been used by researchers in the past to assess transboundary and regional ambient air quality and its impacting sources. The model generally takes input from global databases which are mostly dynamic variables and need to be updated with primary survey data. The high-resolution local information, including Land-Use-Land-Cover, local anthropogenic emissions and biomass emissions, is an important database for the model and must be updated at regular intervals. This regional scale chemistry transport model is computationally expensive and requires specialised knowledge, thus, challenging to be used by various air quality managing agencies operating at state and city levels. The review also discusses agencies involved in regional scale modelling in different countries with their roles and responsibilities. Considering this complexity, it is recommended to phase-wise develop a centre of excellence for regional air quality modelling in the country. | ||
| 650 | 4 | |a Regional scale modelling | |
| 650 | 4 | |a Numerical weather forecast model | |
| 650 | 4 | |a Atmospheric chemistry | |
| 650 | 4 | |a Operational challenges | |
| 650 | 4 | |a Developing countries | |
| 700 | 1 | |a Gulia, Sunil |0 (orcid)0000-0002-1211-3032 |4 aut | |
| 700 | 1 | |a Goyal, Sanjeev Kumar |4 aut | |
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