Pathakoti Mahesh, K S Rajan, A L Kanchana, T Santhoshi, D V Mahalakshmi, P Sujatha, Taori Alok, Bothale Rajashree Vinod, Chauhan Prakash, Shaik Ibrahim, Kumar Rajiv, Chandra Naveen, Patra Prabir K
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Department of Space, Hyderabad 500037, India; Lab for Spatial Informatics, International Institute of Information Technology (IIIT), Hyderabad 500084, India.
Lab for Spatial Informatics, International Institute of Information Technology (IIIT), Hyderabad 500084, India.
Sci Total Environ. 2024 Apr 15;921:171226. doi: 10.1016/j.scitotenv.2024.171226. Epub 2024 Feb 23.
The present study investigated the effects of land use/land cover (LU/LC) changes on atmospheric carbon dioxide (CO) and methane (CH) concentrations over the sub-urban region of India (Shadnagar) using continuous decadal CO and CHin-situ data measured by the greenhouse gas analyser (GGA). Data was collected from 2013 to 2022 at a 1 Hz frequency. Analysis of the current study indicates that during pre-monsoon, the seasonal maximum of CO was 409.91 ± 9.26 ppm (μ ± 1σ), while the minimum during monsoon was about 401.64 ± 7.13 ppm. Post-monsoon has a high seasonal mean CH concentration of 2.08 ± 0.06 ppm, while monsoon has a low seasonal mean CH concentration of 1.88 ± 0.03 ppm. The primary classes, such as forest, crop, and built-up, were considered to estimate the effect of LU/LC changes on atmospheric CO and CH concentrations. Between 2005 and 2021, the study's results show that the built-up area at radii of 10 km, 20 km, and 50 km increased by 0.17 %, 0.10 %, and 0.4 %, respectively. While other LU/LC categories declined by 30 %, agriculture areas increased by 30 % on average. As a result, the CO and CH concentrations at the study site are increased by 6 % (26 ppm) and 6.5 % (140 ppb), respectively. The present study utilised the fire-based carbon emissions data from the Global Fire Emissions Database (GFED) to understand the impact on atmospheric CO and CH. Analysis of the present work investigated the influence of transported airmass on CO and CH during the pre-monsoon and post-monsoon seasons using the HYSPLIT trajectories and found emissions were from the northwest, southeast, and northeast of the study site. Further, in-situ CO and CH records are compared against the MIROC4-ACTM simulation, and strong agreement was found with bias of 1.80 ppm and 0.98 ppb for CO and CH, respectively.
本研究利用温室气体分析仪（GGA）测量的连续十年期二氧化碳（CO）和甲烷（CH）原位数据，调查了印度城郊地区（沙德讷格尔）土地利用/土地覆盖（LU/LC）变化对大气中二氧化碳（CO）和甲烷（CH）浓度的影响。数据于2013年至2022年以1赫兹频率收集。当前研究分析表明，在季风前，CO的季节性最大值为409.91±9.26 ppm（μ±1σ），而季风期间的最小值约为401.64±7.13 ppm。季风后CH的季节性平均浓度较高，为2.08±0.06 ppm，而季风期间CH的季节性平均浓度较低，为1.88±0.03 ppm。为了估算LU/LC变化对大气CO和CH浓度的影响，研究考虑了森林、作物和建成区等主要类别。研究结果表明，在2005年至2021年期间，半径为10公里、20公里和50公里处的建成区面积分别增加了0.17%、0.10%和0.4%。虽然其他LU/LC类别下降了30%，但农业面积平均增加了30%。结果，研究地点的CO和CH浓度分别增加了6%（26 ppm）和6.5%（140 ppb）。本研究利用全球火灾排放数据库（GFED）中基于火灾的碳排放数据来了解对大气CO和CH的影响。当前工作的分析使用HYSPLIT轨迹研究了季风前和季风后季节输送气团对CO和CH的影响，发现排放源来自研究地点的西北、东南和东北部。此外，将原位CO和CH记录与MIROC4-ACTM模拟进行了比较，发现二者高度吻合，CO和CH的偏差分别为1.80 ppm和0.98 ppb。
