 摘要： Based on conventional observation data, NCEP reanalysis data and observation data of automatic stations, a rainstorm weather process occurring in Shaoguan City during December 14-17, 2013 was analyzed. The results show that the main causes of the winter rainstorm in Shaoguan City were the strong southwest airflow at 500 and 700 hPa, high humidity, the influence of a low-pressure trough at 850 hPa, and the southward movement of cold air on the ground.

 摘要： Based on the data of daily precipitation in 11 national ground meteorological observation stations in Jining City from 1981 to 2020, the interdecadal variation, intensity, range and spatial distribution of rainstorms in Jining City were analyzed. The results show that the number of rainstorm days and the total amount of rainstorms in Jining City had significant changes among different decades. There was a continuous upward trend from the 1980s to the early 21st century and a decrease after the early 21st century. Rainstorms had distinct seasonal characteristics. They were mainly concentrated in summer, especially in July and August. In terms of spatial distribution, the frequency and intensity of rainstorms in the southeastern regions were significantly higher than those in the northwestern regions. The above results can provide a scientific basis for flood control and disaster reduction in Jining City.

 摘要： Ulanqab City is rich in wind and solar energy resources, and the development prospects of wind power and photovoltaic power generation industry are broad. The development of new energy is one of the important measures to address climate change. In this study, the current situation of climate argumentation, meteorological observation, weather forecast and meteorological services carried out by the meteorological departments of Ulanqab City in the development and utilization of wind and solar resources was analyzed. Refined meteorological services are the guarantee for the development of new energy industry. In the future, it is necessary to further enhance the capacity of energy meteorological services, promote and apply digital information technology, and strengthen the level of meteorological services.

 摘要： [Objective] In response to the issue of insufficient integrity in hourly routine meteorological element data files, this paper aims to improve the availability and reliability of data files, and provide high-quality data file support for meteorological forecasting and services. [Method] In this paper, an efficient and accurate method for data file quality control and fusion processing is developed. By locating the missing measurement time, data are extracted from the "AWZ.db" database and the minute routine meteorological element data file, and merged into the hourly routine meteorological element data file. [Result] Data processing efficiency and accuracy are significantly improved, and the problem of incomplete hourly routine meteorological element data files is solved. At the same time, it emphasizes the importance of ensuring the accuracy of the files used and carefully checking and verifying the fusion results, and proposes strategies to improve data quality. [Conclusion] This method provides convenience for observation personnel and effectively improves the integrity and accuracy of data files. In the future, it is expected to provide more reliable data support for meteorological forecasting and services.

 摘要： Multi-angle statistical analysis of tropical cyclones (TCs) and their distant thermodynamic disturbances over Northwest Pacific from July to September during 2001-2020 was conducted. The results show that TCs could trigger distant thermodynamic disturbances, which mainly caused an increase in air pressure and a rise in temperature in northern China. The distant thermodynamic disturbances triggered by TCs differed in spatial distribution and intensity in different months. In the same month, the spatial distribution of such disturbances triggered by high-intensity TCs was consistent with the overall pattern, and there was a significant increase in intensity and area. From the probability of TC activities and the significance test of variance of analysis under different levels of P-J index, it is found that TC activities could stimulate the increase of P-J teleconnection index. There was a significant positive correlation between them, which was accompanied by a step effect.

 摘要： Based on the monitoring data of PM10 concentration from six environmental monitoring stations and the ground meteorological observation data in Yantai City from 2019 to 2021, the spatial and temporal variation of PM10 concentration and its relationship with meteorological factors were studied. The results show that from the perspective of temporal variation, the annual average of PM10 concentration in Yantai City tended to decrease year by year. It was high in winter and spring and low in summer and autumn. In terms of monthly variation, the changing curve is U-shaped, and it was high in December and January but low in July and August. During a day, PM10 concentration had two peaks. The first peak appeared approximately from 09:00 to 11:00, and the second peak can be found from 21:00 to 23:00. From the perspective of spatial distribution, PM10 concentration was the highest in the development area and Fushan District. It was the highest in the west, followed by the east, while it was the lowest in the middle. The spatial difference rate was the highest in summer. Average temperature, relative humidity, wind speed and precipitation were the main meteorological factors influencing PM10 concentration in Yantai area. PM10 concentration was negatively correlated with average temperature and relative humidity, and the correlation was the most significant from June to October. It was negatively correlated with wind speed and precipitation, and the correlation was different in various months. The negative correlation was significant in summer and winter.

 摘要： Biodiversity is closely related to human well-being and is an important foundation for human survival and development. Currently, there is a significant funding gap in biodiversity conservation in various regions. How to leverage financial resources in key areas such as financial support for biodiversity conservation, value conversion of ecological products, and green inclusive finance has become an increasingly concerned field and an actively explored direction. This article reviews the relevant policies that have been issued in Jilin Province regarding biodiversity conservation, providing guidance for the formulation of investment and financing policies. In practice, Jilin Province has explored investment and financing models through multiple channels. In terms of finance, it has strengthened the coordination of financial resources at all levels in accordance with the principle of matching fiscal powers and expenditure responsibilities, and increased support for biodiversity conservation through existing funding channels. At the same time, it has actively studied the establishment of market-oriented and socialized investment and financing mechanisms and encouraged the participation of social capital. Through the research on the investment and financing policies and practices for biodiversity in Jilin Province, this article analyzes the existing bottlenecks in green finance support for biodiversity, aiming to provide reference for further improving relevant policies, optimizing the allocation and use of funds, and enhancing the level of biodiversity conservation.

 摘要： Cultural landscape zoning research of traditional villages is the basic premise for carrying out overall protection and regional development. Through the clustering algorithm, cultural area zoning research of traditional villages can provide objective basis for its overall protection and development. Based on the field research, drawing on the theory of cultural landscape, southwest Hubei is taken as the research object, and the index system of cultural landscape type division of traditional villages is constructed from three levels of culture, geography and village carrier. Adopting the multi-attribute weighted k-modes clustering algorithm, 92 traditional villages in southwest Hubei are divided into three major types, which are the western Tujia cultural characteristic area, the southern Tujia-Miao cultural penetration area, and the northern multi-ethnic cultural mixed area, and the characteristics of each area are summarized. The regional characteristics of traditional villages in southwest Hubei at the cultural landscape level are analysed from a macro point of view, which provides a reference for more objective cognition of the distribution law of traditional villages in southwest Hubei, and carrying out the contiguous protection of traditional villages.

 摘要： This paper aims to explore the cognition and demand of nature education. Through the analysis of its connotation, significance, current situation and challenges, corresponding countermeasures and suggestions are put forward. Nature education is a kind of education mode based on the natural environment, which enables learners to integrate with nature through scientific and effective means. This kind of education method has a far-reaching impact on shaping the overall quality of teenagers and cultivating the correct world outlook and values. By means of literature review, case analysis and other means, combined with the development practice of nature education at home and abroad, this study deeply analyzes the cognitive status and demand characteristics of nature education, which provides guidance and basis for the dissemination and development of nature education.

 摘要： Firstly, based on the data of air quality and the meteorological data in Baoding City from 2017 to 2021, the correlations of meteorological elements and pollutants with O3 concentration were explored to determine the forecast factors of forecast models. Secondly, the O3-8h concentration in Baoding City in 2021 was predicted based on the constructed models of multiple linear regression (MLR), backward propagation neural network (BPNN), and auto regressive integrated moving average (ARIMA), and the predicted values were compared with the observed values to test their prediction effects. The results showed that overall, the MLR, BPNN and ARIMA models were able to forecast the changing trend of O3-8h concentration in Baoding in 2021, but the BPNN model gave better forecast results than the ARIMA and MLR models, especially for the prediction of the high values of O3-8h concentration, and the correlation coefficients between the predicted values and the observed values were all higher than 0.9 during June-September. The mean error (ME), mean absolute error (MAE), and root mean square error (RMSE) of the predicted values and the observed values of daily O3-8h concentration based on the BPNN model were 0.45, 19.11 and 24.41 µg/m3, respectively, which were significantly better than those of the MLR and ARIMA models. The prediction effects of the MLR, BPNN and ARIMA models were the best at the pollution level, followed by the excellent level, and it was the worst at the good level. In comparison, the prediction effect of BPNN model was better than that of the MLR and ARIMA models as a whole, especially for the pollution and excellent levels. The TS scores of the BPNN model were all above 66%, and the PC values were above 86%. The BPNN model can forecast the changing trend of O3 concentration more accurately, has a good practical application value, but at the same time, the predicted high values of O3 concentration should be appropriately increased according to error characteristics of the model.