Brucellosis, a zoonosis which can seriously harm public health. Inner Mongolia is known as an endemic region of human brucellosis in China. The aim of this study is to present the epidemic of human brucellosis in Inner Mongolia from 2010 to 2014, and to provide the evidence of preventing from brucellosis in endemic areas. The study included 838,956 participants by cluster random sampling from 2010 to 2014. The contents of this study included questionnaire survey and serological testing. The seropositive rate was calculated based on the serological testing results, tested to determine whether the participants were infected by brucellosis. The new brucellosis cases were diagnosed using the questionnaire data and serological testing results then and the incidence rate was obtained. We also plotted spatial distribution maps based on the seropositive and incidence rate of human brucellosis. The total seropositive and incidence rate of human brucellosis among the high risk groups in Inner Mongolia from 2010 to 2014 was 35.91‰ and 18.25‰, respectively. The epidemic of the mid-eastern Inner Mongolia was decreased, however, the epidemic has worsened in western Inner Mongolia. Despite the epidemic of human brucellosis among the high risk groups of Inner Mongolia decreased significantly from 2010 to 2014, increased prevention and control measures are urgently needed.

Understanding the water cycle change under a warming climate is essential, particularly the ocean to land moisture transport, which affects the precipitation over land areas and influences society and the ecosystem. Using ERA5 data from 1988 to 2020, the time series of moisture transport and the trend across the boundary of each continent, including Eurasia, Africa, North America, South America, Antarctic, Australia, and Greenland, have been investigated. The inflow and outflow sections of the moisture have been identified for each continent. The trends of moisture convergence over Eurasia, Africa, North America, and Antarctic are all positive, with the values of 2.59 ± 3.12, 2.60 ± 3.17, 12.98 ± 2.28, and 0.32 ± 0.47 (in 10⁶ kg/s/decade), respectively, but only the trend over North America is statistically significant at a 0.1 significance level. The moisture convergence trend of −0.59 ± 3.63 (in 10⁶ kg/s/decade) over South America is negative but insignificant. The positive trend of 0.10 ± 0.35 (in 10⁶ kg/s/decade) over Greenland is very weak. The precipitation, evaporation, and moisture convergence are well balanced at middle and low latitudes, but the combination of moisture convergence and evaporation is systematically lower than the precipitation over Antarctic and Greenland. Contributions of evaporation and moisture convergence (or transport) to the continental precipitation vary with the continent, but the moisture convergence dominates the precipitation variability over all continents, and the significant correlation coefficients between the anomaly time series of continental mean moisture convergence and precipitation are higher than 0.8 in all continents.

The Jianghuai region is the area between the Yangtze River and the Huai River in China and is a densely populated agriculture region therefore, the economics and human activity there are significantly affected by the precipitation changes, particularly during the summer when extreme storms and droughts normally occur. It will be helpful if the summer precipitation changes can be predicted. The monthly ERA5 atmospheric reanalysis data from 1978 to 2021 are used in this study to investigate the relationship between the ridge latitudinal location of the western Pacific subtropical high (WPSH) and the precipitation in July over the Jianghuai region. The results show that the WPSH ridge location has an important impact on the amount and spatial distribution of the precipitation in this region. When the ridge was northward, an anomalous anticyclonic circulation will appear over the western Pacific, leading to the weakening of the summer monsoon and the reduction of moisture transport from the Indian Ocean, therefore decreasing precipitation in the Jianghuai region, while the situation is opposite when the ridge was southward. The Niño 3.4 index in March and the India–Burma trough intensity index in June have significant correlations with the July WPSH ridge location, and both can be used as precursors to predict the WPSH ridge location and, therefore, the precipitation in this region.