Copula-based analysis of socio-economic impact on water quantity and quality: A case study of Yitong River, China

Li, Jiaqi; Shen, Zhenyao; Cai, Jianying; Liu, Guowangchen; Chen, Lei

doi:10.1016/j.scitotenv.2022.160176

Cited by 12 publications

(2 citation statements)

References 49 publications

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“…The copula model is one of the main innovations of this study. Copula functions are widely used in finance and have been used in climatic studies in recent years [ 33 – 35 ]; however, no study has used copula models to analyze the relationship between epidemic and climatic data. Using the copula function, we filtered and modeled the marginal and joint distributions between sunshine and humidity, which could also be applied to any other climatic data.…”

Section: Discussionmentioning

confidence: 99%

Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses

et al. 2023

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Background Brucellosis is a common zoonotic infectious disease in China. This study aimed to investigate the incidence trends of brucellosis in China, construct an optimal prediction model, and analyze the driving role of climatic factors for human brucellosis. Methods Using brucellosis incidence, and the socioeconomic and climatic data for 2014–2020 in China, we performed spatiotemporal analyses and calculated correlations with brucellosis incidence in China, developed and compared a series of regression and Seasonal Autoregressive Integrated Moving Average X (SARIMAX) models for brucellosis prediction based on socioeconomic and climatic data, and analyzed the relationship between extreme weather conditions and brucellosis incidence using copula models. Results In total, 327,456 brucellosis cases were reported in China in 2014–2020 (monthly average of 3898 cases). The incidence of brucellosis was distinctly seasonal, with a high incidence in spring and summer and an average annual peak in May. The incidence rate was highest in the northern regions’ arid and continental climatic zones (1.88 and 0.47 per million people, respectively) and lowest in the tropics (0.003 per million people). The incidence of brucellosis showed opposite trends of decrease and increase in northern and southern China, respectively, with an overall severe epidemic in northern China. Most regression models using socioeconomic and climatic data cannot predict brucellosis incidence. The SARIMAX model was suitable for brucellosis prediction. There were significant negative correlations between the proportion of extreme weather values for both high sunshine and high humidity and the incidence of brucellosis as follows: high sunshine, $$r$$ r = −0.59 and −0.69 in arid and temperate zones; high humidity, $$r$$ r = −0.62, −0.64, and −0.65 in arid, temperate, and tropical zones. Conclusions Significant seasonal and climatic zone differences were observed for brucellosis incidence in China. Sunlight, humidity, and wind speed significantly influenced brucellosis. The SARIMAX model performed better for brucellosis prediction than did the regression model. Notably, high sunshine and humidity values in extreme weather conditions negatively affect brucellosis. Brucellosis should be managed according to the “One Health” concept.

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Section: Discussionmentioning

confidence: 99%

Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses

et al. 2023

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“…The investment in education is crucial to human capital, and in the progress of national economy, the quality of population is more important than the number of population, and the improvement of the quality of population must rely on education; the role of human capital is becoming more and more important to economic growth, and the return on investment in human capital is higher than the investment in physical capital; an important way to acquire human capital is to participate in school education and on-the-job training, which can be divided into general training and special training. On-the-job training is divided into general training and special training [9].…”

Section: Empirical Model and Theoretical Modelmentioning

confidence: 99%

The Impact in Economy of the Expansion of the Proportion of the General Job Diversion in the Secondary Examination

2023

LNEP

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With the increase of the proportion of general and vocational streams in the secondary school examination, more and more secondary school students are facing the status quo of attending vocational high schools after graduation. Peoples attention to vocational high schools is increasing day by day. The general-vocational streaming will affect the professional ratio of graduates and the corresponding knowledge and skills in many aspects. Therefore, based on the economic sub-provincial data for five years since 2018, this study uses a panel regression model to study the impact of universal-job diversion on the economy. The economic progress indicators selected in this paper are disposable income per capita and gross domestic product per capita. It is found that the increase in the proportion of universal job streaming has a significant positive effect on the gross domestic product per capita, and also has a significant positive effect on the disposable income per capita. It is of great significance for Chinas stable and rapid progress to find the most suitable ratio for China in the course of progress by continuously exploring the influence of the ratio of universal job sharing on the economy and society.

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A Copula-based spatiotemporal probabilistic model for heavy metal pollution incidents in drinking water sources

Liu,

Xu,

et al. 2024

Ecotoxicology and Environmental Safety

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Copula-based analysis of socio-economic impact on water quantity and quality: A case study of Yitong River, China

Cited by 12 publications

References 49 publications

Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses

Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses

The Impact in Economy of the Expansion of the Proportion of the General Job Diversion in the Secondary Examination

A Copula-based spatiotemporal probabilistic model for heavy metal pollution incidents in drinking water sources

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