Public Perception Survey Study on Air Quality Issues in Wuhan, China

In 2013, a survey on air quality (AQ) was conducted in Wuhan, China. The aim was to investigate public awareness of air pollution, and its epidemiological effect. This survey targeted both suburban and central city regions of Wuhan city, between August and December of 2013, where it engaged 1225 participants. Approximately 65% perceived AQ in Wuhan to be “bad”. Over 95% recognized a causal association between air pollution and human health. About 65% were unaware of any action taken by the government to mitigate the air pollution situation. 84% indicated that the government should shut down highly polluting enterprises, while 95% expressed willingness to reduce private use of vehicles if required. The results demonstrate that the citizens of Wuhan are concerned about air pollution issues, and agree that improving AQ is the obligation of all citizens. Further, they called for concrete actions to improve AQ. The survey emphasized the need for better education and more activities to raise environmental awareness. The innovative aspects of this survey were the exploration of participants’ perceptions of AQ issues and the survey results may influence local government to impose stricter regulations, and to develop more effective programs involving citizens.

Towards seamless environmental prediction-development of Pan-Eurasian EXperiment(PEEX)modelling platform

The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research Programme.The PEEX MP has more than 30 models and is directed towards seamless envir-onmental prediction.The main focus area is the Arctic-boreal regions and China.The models used in PEEX-MP cover several main components of the Earth’s system,such as the atmosphere,hydrosphere,pedosphere and biosphere,and resolve the physicalchemicalbiological processes at different spatial and temporal scales and resolutions.This paper introduces and discusses PEEX MP multi-scale modelling concept for the Earth system,online integrated,forward/inverse,and socioeconomical modelling,and other approaches with a particular focus on applications in the PEEX geographical domain.The employed high-performance com-puting facilities,capabilities,and PEEX dataflow for modelling results are described.Several virtual research platforms(PEEXView,Virtual Research Environment,Web-based Atlas)for handling PEEX modelling and observational results are introduced.The over-all approach allows us to understand better physical-chemicalbiological processes,Earth’s system interactions and feedbacks and to provide valuable information for assessment studies on evaluating risks,impact,consequences,etc.for population,envir-onment and climate in the PEEX domain.This work was also one of the last projects of Prof.Sergej Zilitinkevich,who passed away on 15 February 2021.Since the finalization took time,the paper was actually submitted in 2023 and we could not argue that the final paper text was agreed with him.