CO2 concentration retrieval and emission rate estimation over Indian thermal power plants using radiative transfer approach and AVIRIS-NG data

被引:1
|
作者
Varchand, Hasmukh K. [1 ,4 ]
Pandya, Mehul R. [2 ]
Dave, Jalpesh A. [1 ]
Parmar, Parthkumar N. [1 ]
Trivedi, Himanshu J. [1 ]
Shah, Dhiraj B. [3 ]
Pathak, Vishal N. [3 ]
机构
[1] CVM Univ, NV Patel Coll Pure & Appl Sci, Vallabh Vidyanagar 388120, Gujarat, India
[2] Indian Space Res Org ISRO, Space Applicat Ctr SAC, Ahmadabad 380015, Gujarat, India
[3] Veer Narmad South Gujarat Univ, Sir PT Sarvajanik Coll Sci, Surat 395001, Gujarat, India
[4] CVM Univ, NV Patel Coll Pure & Appl Sci, Phys Dept, Anand 388120, Gujarat, India
关键词
Remote sensing; Carbon dioxide; Thermal power plants; Radiative transfer; Emission rate estimation; CARBON-DIOXIDE; METHANE; SPECTROMETER; SATELLITE; PLUME;
D O I
10.1016/j.rsase.2024.101138
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon dioxide (CO2) emissions from thermal power plants (TPPs) are regarded as the primary source of CO2 at the boundary -level atmosphere. The first step toward mitigating these emissions is to improve emission estimation methods at the facility level and establish a reliable emission reporting system. This study aims to establish a transparent and reliable methodology for detecting point source CO2 emissions from TPP and estimating the emission rate released from the stakes of TPP. A remote sensing method continuum interpolated band ratio (CIBR) has been utilized to detect and estimate CO2 emissions over Indian TPPs using Airborne Visible/InfraRed Imaging Spectrometer - Next Generation (AVIRIS-NG) data acquired by the ISRO-NASA joint campaign over India in 2015 and 2018. MODerate resolution atmospheric TRANsmission (MODTRAN) 5.3 radiative transfer (RT) model simulations were carried out for TPP sites to develop a CIBR algorithm for CO2 retrieval. Two AVIRIS-NG short-wave infrared (SWIR) bands were utilized for CO2 concentration retrieval, and the results from each band were compared based on their emission detection capabilities. Comparatively, SWIR-2 (1960-2120 nm) bands show higher sensitivity of CO2 than SWIR-1 (1560-1640 nm). Therefore, we utilize SWIR-2 results for the CO2 retrieval and emission rate estimation. Maximum CO2 emissions of 53.10, 46.36, 96.84, and 53.49 ppmv were detected at Maithon, Dhariwal, Udupi, and Parangipettai TPPs. The study includes one USA -based TPP to compare emission results for validation and test the method in diverse atmospheric conditions. In addition, we compared CO2 estimation results with AVIRIS-NG benchmark data. The simple band ratio method uses only three SWIR bands and operates with minimal computational facility, making it suitable for CO2 retrieval in hyperspectral data. Further, the integrated mass enhancement (IME) method has been used for emission rate estimation using CO2 concentration values from SWIR-2 retrieval results and wind speed at the sites. Yearly 5.96, 6.82, 2.29, and 3.52 Mt emissions were estimated for Maithon, Dhariwal, Udupi, and Parangipettai TPPs, respectively. The emission results have been validated by establishing a relationship between TPP's coal consumption and CO2 emissions. Further, estimated emission rates have been validated with former investigations and the CO2 baseline emission database of India's Central Electricity Authority (CEA) reports. Not having in -situ measurements and uncertainty in wind data may limit the study.
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页数:13
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