标题：Study on Spatiotemporal Characteristics of the Impacting Factors of Agricultural Carbon Emissions Based on the GTWR Model: Evidence from the Yellow River Basin, China
摘要：The present study critically investigated the effect of meteorological parameters on the mass concentration of Ultrafine Particulate Matter (PM1) between October 2018 and September 2019 (n=102) in a semiarid region of Rajasthan, India. The concentration of PM1 ranged between 72-110.85 ?g.m-3 with distinct seasonal variation. Higher PM1 concentrations are closely linked to decreased wind speeds and colder temperatures, according to the findings. The winter season showed the highest concentration followed by post monsoon and pre monsoon season. The cumulative effect of environmental variables such as temperature, relative humidity, and wind speed, as well as the height of the planetary boundary layer, was investigated using multiple regression analysis (HPBL). A significant negative correlation (p < 0>0.001) relationship. Relative humidity showed a negative relationship during withers and pre-monsoon season. The multiple regression model indicated a significant negative (p<0.001) relationship with HPBL in winters (R2=0.70) explaining the 70?fect of HPBL on mass concentration of PM1.During the post-monsoon (R2 = 0.69) and pre-monsoon (R2= 0.91) explains 69% and 91?fect of HPBL on mass concentrations of PM1.The results indicate that the concentration of PM1 cannot be explained by a single meteorological parameter but all the parameters show a cumulative effect.
关键词：Planetary boundary layer;Metreological parameters;Ultrafine particulate matter;Semiarid region
