Deterioration of ambient air quality associated with urbanisation is a serious concern in many parts of the world. In India, air pollution, primarily due to particulate matter, has increased exponentially in the last few decades due to rapid urbanization, industrialization and population growth. This study investigates the non-uniform influence of COVID-19 lockdown on the ambient air quality of three distinct local climate zones (LCZs) within the urban region of Kochi (Kerala, India). The analysis of the air pollutant data of the ambient air quality monitoring stations during the pre-lockdown (PRLD), lockdown (LD) and post-lockdown (PTLD) periods of 2021 implies the significance of lockdown measures in the improvement of urban air quality. The air quality index (AQI) exhibits characteristic variability in different LCZs and contrasting behaviour between the LD period of 2020 and 2021, primarily due to the differences in the lockdown restrictions and strategies as well as the influence of local climatic factors. This study highlights the need for multiple monitoring stations in the urban regions with respect to different LCZs to identify the urban air quality hot spots.

The rapid growth of urban areas and population as well as associated development over recent decades have been a major factor controlling ambient air quality of the urban environment in Kerala (India). Being located at the southwestern fringe of the Indian peninsula, Kerala is one of the regions that has been significantly influenced by the activities in the Indian Ocean. The present study focuses on the effect of the COVID-19 lockdown (in 2021) on ambient air quality in the selected coastal metropolitan areas of Kerala. Although previous research studies reported improvement in ambient air quality in Kerala during the lockdown period, this study demonstrates the potential of onshore transport of air pollutants in controlling the air quality of coastal urban regions during the lockdown period. Data from the ambient air quality monitoring stations of the Kerala State Pollution Control Board in the urban areas of Thiruvananthapuram (TM), Kollam (KL), Kozhikode (KZ), and Kannur (KN) are used for the analysis. Temporal variation in the concentration of air pollutants during the pre-lockdown (PRLD), lockdown (LD), and post-lockdown (PTLD) periods (i.e., 1 March to 31 July) of 2021 is examined to assess the effect of lockdown measures on the National Air Quality Index (AQI). Results indicate a significant decline in the levels of air pollutants and subsequent improvement in air quality in the coastal urban areas. All the effect of lockdown measures has been evident in the AQI, an increase in the concentration of different pollutants including CO, SO 2 , and NH 3 during the LD period suggests contributions from multiple sources including onshore transport due to marine traffic and transboundary transport.

Aim: The study's main goal is to find any significant variations in the climatic variables and to analyze the preferences about adaptation strategies by the farmers to lessen the effects of the same. Study Area and Design: An ex-post-facto study was conducted at randomly selected panchayaths in Nedumkandam, Idukki, Kerala. Methodology: The climate data for 30 years (1991-2021) was analyzed using Mann-Kendall test and sen slope estimator. A sample size of 120 farmers was surveyed for identifying their preferences for adaptation measures. Adaptation strategies proposed by various institutions and experts were ranked using the Response Priority Index. Results: Throughout the july month every year, the maximum temperature rise by 0.06◦C, and this increase is significant at 1% level. The minimum temperature increased considerably by 0.06◦C at 5% level in December and by 0.04 ◦C at 10% level in January. For the month of June, there was a 6.15 mm significant decrease at the 0.01 level of significance. March had a rise in precipitation of 0.753 mm, which is noteworthy at the 0.05 level. The increase in rainfall during summer may increase panicle initiation whereas reduction in rainfall during June affects flowering. At the 0.1 criterion, the increase in May was 2.028 mm, which is considerable. And at the 0.1 level of significance, the relative humidity rises by 0.19% and 0.15%, respectively, in March and May. Fluctuation in these parameters resulted in increased pest and disease incidence. 86.66 % of farmers found it important to adopt adaptation measures. The first listed adaptation measure was maintaining a good level of shade. The least effective of the suggested solutions was growing disease and pest-resistant cultivars. Conclusion: The tests confirmed a shift in climate variables, and it is evident that this change affects cardamom production.