Issue 1

In order to provide corresponding suggestions for the establishment and development of China's carbon trading market mechanism, the three-party game model of the competent government departments, carbon emission enterprises and third-party verification institution in the initial allocation of carbon emission rights and the rotation bargaining game model in the secondary carbon trading market are solved and analyzed in this paper. The results show that the competent government departments should improve the review efficiency effectively to reduce cost by outsourcing the review work to universities, research institutes and other scientific research units and increasing punishment for the collusion behavior between the carbon emission enterprises and third-party verification institution. At the same time, the competent government departments should adopt the regular regulatory policies to deal with collusion behavior and reduce the sampling proportion to cut cost of government review. The trading center should directly determine transaction price in combination with the forces of buyers and sellers, and make matchmaking trading directly by selecting the qualified buyers and sellers at the secondary carbon trading market in process of bilateral open bidding.

Carbon footprint (CF) is a measure of greenhouse gas emissions generated from daily human-induced activities as carbon dioxide equivalent. This study is an attempt to represent a consumption-based CF study from the scope of transportation, electricity, and waste generation for University of the Punjab (PU), Lahore under the WRI/WBCSD greenhouse gas protocol corporate standards. Data acquired through fieldwork, questionnaire surveys, direct sampling, and existing records for the year 2019-20 suggested that electricity is the greatest contributor of CO2 emissions at 59%, followed by transportation at 36%, and waste generation at approximately 5%. The total CF(CO2_eq) generated from different sources is about 18360.62MT for one year. The recent COVID-19 lockdown has offered inimitable prospect to compare the carbon footprint of one of the largest higher education institutes of Pakistan before and during this pandemic. The data can serve for tracking, assessing, and setting goals for greenhouse gas emission reduction programs in future.

Numerical simulation was conducted to assess the impact of dust emission on typical environmental sites in Jinan City. The CALPUFF model was applied to five simulation scenarios. The results showed that dust emission had a significant impact on air quality in Jinan. The impact of dust emission on the average concentration of PM10 at 15 monitoring sites was 19.8 μg/m3, accounting for 14.9% of the annual total. The impact of dust emission on the average concentration of PM2.5 was 5.2 μg/m3, accounting for 8.1% of the annual total. Adoption of yellow warning measures in the emission reduction scenarios had insignificant environmental effects due to unfavorable meteorological conditions. Compared with the baseline scenario, the average concentrations of PM10 and PM2.5 decreased by 13.6% and 1.9%, respectively. After adoption of orange and red warning measures, the impact of site dust emission on air quality at the monitoring site was reduced significantly. Significant environmental effects were achieved after all construction sites within a 2-km radius of the monitoring site were closed. Compared with the baseline scenario, the average concentrations of PM10 and PM2.5 were reduced by 45.5% and 42.3%, respectively. The results showed that under adverse meteorological conditions, higher-level warning measures should be undertaken to reduce the impact of site emissions on environmental quality. Considering the economic and social effects of emission reduction, temporary construction stoppage within 2 km of the monitoring site is a feasible plan that is in accordance with the goals of comprehensive environmental management.

The coronavirus (COVID-19) is a threat to public health and caused several social, environmental, and economic problems. During the lockdown in different countries, waste generation has been significantly increased due to the high consumption of packaged food and increase the order of food via online and takeaway. This paper aims to investigate the impact of COVID 19 lockdown on food consumption and the subsequent change in waste generation in Oman. A quantitative research methodology was applied for this study using an online survey during the COVID 19 lockdown. The survey collected information on demographic data, awareness and attitudes toward food purchase behaviour, household food expenditure, and waste generation. The results show that 57.6% of the respondents believed that their food purchasing during the lockdown was increased as compared to before the lockdown. The main reason for increasing the food purchasing was the change in consumers behaviour and cooking more in households during the lockdown. This increase led to the increase in waste generation. One of the main reasons for the increased waste generation during the lockdown was the fact that people have spent more time at home. It was found that food waste and plastic packages were the highest increase (72% and 55%, respectively). These two types of waste are followed by cans and glass bottles with an increase of 68%. Other types of waste such as medical waste, electrical and electronic waste, and paper waste have shown no significant change in waste generation during the lockdown. Overall, this study provides useful information to further promote household food waste prevention behaviour, outlasting the COVID-19 crisis. The results from this study can be used by waste management and municipal utilities on consumption behaviour during emergency situations.