Article Dans Une Revue Atmospheric environment: X Année : 2025

A sectoral model for territorial emission inventory in a low income country - a case study from Madagascar

Un modèle sectoriel pour l'inventaire territorial des émissions dans un pays à faible revenu - une étude de cas à Madagascar

Résumé

A territorial Emission Inventory combined with Economic Weightage to quantify regional pollutant emissions in low-income countries is presented. The study covers the 5 regions of Fianarantsoa city in Madagascar and is analyzing the dominant sectors of activities and pollutant concentrations for BC, PM 10 , PM 2.5 , CO 2 , CO, and NO x . Ground based surveys are used to assess regional emission related activities. The findings corresponding to residential, hotels and restaurant, open waste burning and transport sectors reveal high levels of total pollutant emissions that is 88.98 T/y of PM, 3.5 T/y of BC, 1375.6 T/y of CO, 158.2 T/y of NO x and 7614 T/y of CO 2 . The emission estimation combined with economic weightage reveals that despite the residential sector being the primary emitter, hotels and restaurants disproportionately influence emissions and hotspot zones, highlighting the significance of economic activity on emissions. The study highlights significant gaps between regional results from our study when compared to global datasets available in literature, revealing NO x emissions of 158.2 T/y, 6-63 times higher than EDGAR (2.5-25 T/y), alongside BC, PM, CO (2-36 times high), and CO 2 (2-8 times high). This study identifies sectoral hotspots and regional emission drivers often overlooked by global top-down inventories. This study highlights a territorial approach that enhances sectoral emission quantification, considering fuel types, sectoral contributions, and economic weightage.

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Dates et versions

hal-05380642 , version 1 (24-11-2025)

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Rajat Sharma, Erwann Rayssac, Andry Razakamanantsoa, Agnès Jullien. A sectoral model for territorial emission inventory in a low income country - a case study from Madagascar. Atmospheric environment: X, 2025, 28, ⟨10.1016/j.aeaoa.2025.100399⟩. ⟨hal-05380642⟩
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