Indian Institute of Remote Sensing, Dehradun, India.
Indian Institute of Remote Sensing, Dehradun, India.
Environ Pollut. 2024 Oct 15;359:124707. doi: 10.1016/j.envpol.2024.124707. Epub 2024 Aug 9.
National Capital Territory of Delhi and its satellite cities suffer from poor air quality during the post-monsoon months of October-November. In this study, a novel attempt is made to estimate the contribution of different emission sources (industrial, residential, power generation, transportation, biomass burning, photochemical production, lateral transport, etc.) towards the criteria air pollutant carbon monoxide (CO) concentration over North India. Multiple simulations of the WRF-Chem model with a tagged tracer approach with different inputs (6 anthropogenic emission inventories and 3 biomass burning emission inventories) were used. The model performance was evaluated against the MOPITT retrieved CO surface concentration. Analysis of model simulated CO over North India suggests that anthropogenic emissions contribute around 32-49% to surface CO concentration while crop residue burning contributes 27-44% of which 80% originates from Punjab. For Delhi, the contribution from anthropogenic sources is dominant (53-77%) of which 10-28% is from the domestic sector and 14-55% is from the transport sector. Agricultural waste burning contributes about 15-30% to Delhi's surface CO concentration (of which 75% originates from Punjab). Crop residue burning emission is a chief source of CO over Punjab with a contribution of about 56-76%. The results suggest that industrial, transport, and domestic sector activities are more responsible for increased CO levels over New Delhi and surrounding regions than crop residue burning over Punjab. Furthermore, critical meteorological parameters like 10 m wind speed, boundary layer height, 2 m temperature, total precipitation, and relative humidity were evaluated against CO concentration to understand their impact on CO distribution. Results conclude that deteriorating air quality over the North Indian region is caused by a combination of prevailing meteorological factors (such as slow winds, shallow mixing layer, and cold temperatures) and man-made emissions.
德里国家首都辖区及其卫星城市在 10 月至 11 月的后季风月份空气质量较差。在这项研究中,我们首次尝试估计不同排放源(工业、住宅、发电、交通、生物质燃烧、光化学生成、侧向输送等)对北印度地区一氧化碳(CO)浓度这一标准空气污染物的贡献。我们使用带有标记示踪剂方法的 WRF-Chem 模型进行了多次模拟,输入包括 6 个人为排放清单和 3 个生物质燃烧排放清单。模型性能通过与 MOPITT 反演的 CO 地面浓度进行了评估。对北印度地区模型模拟 CO 的分析表明,人为排放对地表 CO 浓度的贡献约为 32-49%,而农作物残茬燃烧贡献 27-44%,其中 80%来自旁遮普邦。对于德里,人为排放源的贡献占主导地位(53-77%),其中 10-28%来自家庭部门,14-55%来自交通部门。农业废弃物燃烧对德里地表 CO 浓度的贡献约为 15-30%(其中 75%来自旁遮普邦)。农作物残茬燃烧排放是旁遮普邦 CO 的主要来源,贡献约为 56-76%。结果表明,与旁遮普邦的农作物残茬燃烧相比,工业、交通和家庭部门的活动对新德里及周边地区 CO 水平的升高更为负责。此外,还评估了 10m 风速、边界层高度、2m 温度、总降水量和相对湿度等关键气象参数与 CO 浓度的关系,以了解它们对 CO 分布的影响。结果表明,北印度地区空气质量恶化是由盛行的气象因素(如缓慢的风、浅层混合层和寒冷的温度)和人为排放共同造成的。