Greenhouse gas emissions of Delhi, India: A trend analysis of sources and sinks for 2017-2021

被引:6
作者
Arora, Tanya [1 ]
Reddy, Chirla Sarvani [1 ]
Sharma, Raghav [1 ]
Kilaparthi, Sharat Divakar [1 ]
Gupta, Lovleen [1 ]
机构
[1] Delhi Technol Univ, Dept Environm Engn, Main Bawana Rd, Delhi 110042, India
关键词
Climate change; Emissions inventory; GHG emission factors; Greenhouse gas; India; IPCC guidelines; Delhi; CLIMATE-CHANGE; CO2; EMISSIONS; GHG EMISSION; CITIES; METABOLISM; ACCOUNTS; ENERGY; SECTOR;
D O I
10.1016/j.uclim.2023.101634
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Delhi is the world's second most populated city and India's capital. The objective of this study is to develop a comprehensive emission inventory of GHGs, including CO2, N2O, and CH4, and present a source apportionment of GHGs, thus setting a benchmark for developing source-specific mitigation strategies at a localized level. The study employs 2006 IPCC and Good Practice Guidelines to analyze and quantify emissions from various sources. An annual emission load of 51,081 ktCO2e for Delhi from 2017 to 2021 is estimated with an uncertainty of approximately 4%. 34,344 ktCO2e (61%) is accounted for by the stationary combustion sector. The mobile combustion sector accounts for 33% of the total emissions at 18,574 ktCO2e. The waste sector accounts for 5.2% of total emissions, followed by a meagre 0.8% contribution from the agriculture sector. It further evaluates the role of carbon stock in reducing the net emissions generated by the city. This study contributes to future policies by corroborating the findings of a GHG inventory of Delhi from 2017 to 2021 and noting significant variations in the trends in terms of the contribution of different sources to net emissions. It further reinforces the need to develop more localized inventories to target the primary emitting sectors in different regions through focused mitigation strategies.
引用
收藏
页数:15
相关论文
共 73 条
  • [1] Air Quality Tracker Initiative, 2023, 2021-22 Reports
  • [2] [Anonymous], COMPREHENSIVE STUDY
  • [3] [Anonymous], 2023, DD News
  • [4] Arya R., 2022, ENV SCI PROC, V19, DOI [https://doi.org/10.3390/ecas2022-12813, DOI 10.3390/ECAS2022-12813]
  • [5] Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty
    Boychuk, Khrystyna
    Bun, Rostyslav
    [J]. CLIMATIC CHANGE, 2014, 124 (03) : 561 - 574
  • [6] C. Co-Presidents, 2023, Global Energy Assessment Toward a Sustainable Future
  • [7] Cai B., 2023, China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis
  • [8] Urban form, land use, and cover change and their impact on carbon emissions in the Monterrey Metropolitan area, Mexico
    Carpio, Alejandro
    Ponce-Lopez, Roberto
    Lozano-Garcia, Diego Fabian
    [J]. URBAN CLIMATE, 2021, 39
  • [9] Charkovska N., 2023, High-resolution spatial distribution and associated uncertainties of greenhouse gas emissions from the agricultural sector, DOI [10.1007/s11027-017-9779-3, DOI 10.1007/S11027-017-9779-3]
  • [10] Chen S.Y., 2023, Environ. Res. Lett., V18, P34032, DOI [10.1088/1748-9326/acbb91, DOI 10.1088/1748-9326/ACBB91]