ABSTRACT
A large number of antibiotics have been discharged into rivers by human activities, posing a threat to aquatic ecosystems. The surface water of the Yellow River Basin also suffers antibiotic pollution, which hinders the improvement in the aquatic ecological environment. This study investigated and analyzed the characteristics and assessed the ecological risks of antibiotic pollution in surface water bodies such as canals, rivers and fish ponds in Kaifeng, Henan Province, which is a key city along the lower reaches of the Yellow River. The test results are as follows. A total of 15 types of antibiotics were detected in the surface water. They had a total antibiotic concentration of 12.2–249.9 μg/L, of which tetracyclines (TCs) and quinolones accounted for the highest percentages. Six types of quinolones had detection rates of up to 100%, and doxycycline (DC) and oxytetracycline (OTC) had average concentrations of 29.52 μg/L1 and 13.71 μg/L, respectively. The major canals with water diverted from the Yellow River had total concentrations of quinolones and TCs of 22. 0 μg/L and 14.9 μg/L, respectively, which were higher than those in previous studies. This phenomenon may be related to the decrease in the water flow of the Yellow River during the dry season and the increase in the antibiotic consumption of residents in the context of the Covid-19 outbreak. The upper reaches of the Huiji River in the Xiangfu District had higher antibiotic content than other districts in Kaifeng. Specifically, TCs accounted for 72.38%–91.84% of all antibiotics, and the DC and OTC concentrations were significantly higher than other antibiotics in the upper reaches. As indicated by the ecological risk assessment results, TCs had the highest ecological risks to green algae. Among them, DC had medium-high risks;TC, OTC, and chlortetracycline (CTC) had medium-high risks;trimethoprim (TMP) and lomefloxacin (LOM) had low risks;other TC antibiotics had no risk. Compared with green algae, most antibiotics showed higher ecological risks to daphnia and lower ecological risks to fish. DC and OTC dominate antibiotic pollutants in the surface water in Kaifeng City, and especially in Xiangfu District, where DC and OTC have medium-high risks. The TCs in the major Yellow River showed medium risks to both green algae and daphnia. It can be speculated that the antibiotic pollution in the Yellow River might pose a certain threat to the ecological security of water in Kaifeng City. ©2022 China Geology Editorial Office. © 2022 Editorial Office of China Geology. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd
ABSTRACT
Based on big data analysis, we discuss how to formulate an optimal coping mechanism for infectious diseases, especially major and emerging infectious diseases. First, by combining big data analysis and statistical analysis model and deducing whether the emerging disease is contagious, the strength of the contagion effect and the possible consequences, this study will determine whether the corresponding coping strategies should be implemented for infectious diseases, especially major and emerging infectious diseases. Secondly, according to the inspection results and actual situation, the optimal coping strategy is formulated to minimize the loss of life and property security of the country and the society by using the optimization principle and the objective management in management science. Finally, the statistical analysis method and the six sigma principle are combined to develop a feedback mechanism to evaluate whether the formulated coping strategies can achieve the expected results in practice. Our research has improved the research framework of infectious diseases in theory and provided scientific reference and experience for the major and emerging infectious diseases in practice for the future. © 2022 IEEE.
ABSTRACT
In recent years, the development of China’s e-commerce live broadcasting industry has been developing rapidly. With the outbreak of COVID-19, Internet users have opened the shopping mode of live broadcast by e-commerce. As a more accurate and rapid way of content dissemination, e-commerce live broadcasting has built a new mode of communication between brands and consumers, narrowed the distance between consumers and goods during online shopping, and greatly improved the sales conversion rate. At this time, the research on the generation mechanism of consumer behavioral intention in e-commerce live broadcasting platform is very key. This paper introduces three dimensions: aesthetic appeal, functional layout and financial security, and constructs a research model of online service scenario on consumer behavioral intention in the context of e-commerce live broadcast. The empirical results show that the three dimensions of aesthetic appeal, functional layout and financial security have a positive impact on consumers’ behavior intention, and have a significant positive impact on consumers’ trust. Consumer trust has a significant positive impact on consumers’ behavior intention. This study takes the multi-dimensional e-commerce live broadcast e-servicescape as the starting point, provides more reliable basis for the study of consumer behavior will, and expands the application scope of e-servicescape. The research results have certain enlightenment to help the e-commerce live broadcasting platform accurately grasp the needs of users in the process of use and realize the conversion from platform use to purchase. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.