 摘要： Based on multi-source time-series data from 2017 to 2024, this study comprehensively employed Theil-Sen trend analysis, Mann-Kendall test, random forest regression model, and spatial and temporal lag correlation analysis to systematically investigate the variation characteristics of NDVI and their associated mechanisms with land use changes and groundwater depth in the study area. The results indicate that vegetation activity showed overall significant improvement during the study period, with 60.93% of the area exhibiting significant greening trends and only 6.55% showing degradation. The trajectory characteristics of land use changes could explain approximately 79.64% of the variation in NDVI trends, but their driving effects demonstrated significant spatial heterogeneity, with core driving zones accounting for 79.22% of the area. Groundwater depth showed an overall weak negative correlation with NDVI (r = -0.046 4), but exhibited significant lag effects, and the correlation coefficient increased to -0.176 3 when there was a lag of 3 months. The study concludes that regional vegetation changes were primarily driven by land use activities, while the influences of groundwater showed spatial and temporal lag characteristics. Ecological restoration policies should integrate land use optimization with water resource management, and fully consider the spatial heterogeneity and temporal lag effects of driving mechanisms.

 摘要： Based on high-altitude and ground observation data and physical quantity field data, the diagnostic analysis of a heavy rainfall weather process in Hulunbuir City from July 18 to 20, 2025 was conducted from the aspects of circulation patterns, influencing systems, dynamic conditions, moisture conditions and convective conditions, and the causes of the occurrence and development of this process were revealed. The study shows that the superposition of the upper-level trough, the ground cyclone, and the low-level jet stream formed strong water vapor transport, strong warm advection, and strong dynamic uplift in Hulunbuir, thereby leading to this heavy rainfall event. The forecasting ideas for short-term heavy rainfall were pointed out to provide certain scientific references for future forecasting and prediction work.

 摘要： Based on the conventional observation data, daily reanalysis data from NCAR/NCEP, and TBB data derived from FY-2G infrared cloud images in April 2018, a heavy snowfall weather process in central Inner Mongolia from April 4 to 6 in 2018 was analyzed. The results show that the low trough at 500 hPa, the southerly wind jet stream at 700 hPa, and the inverted trough on the ground were the main influencing systems causing this blizzard. The transportation of warm and humid air by the southerly wind jet stream at 700 hPa and intense water vapor convergence provided sufficient water vapor conditions for the blizzard, and the moist layer in the blizzard area was deep. The low-level MPV in the blizzard area was <0, and the atmosphere was in a conditional symmetric instability state. The coupling of the upper and lower-level jets induced strong ascending motion. With the invasion of cold air, a low-level cold pad was formed, so that the warm and humid air tilted upward. The secondary circulation updraft triggered by the wet Q vector system released the conditional symmetric instability energy, so that the sloping motion was more intense, and the heavy snowfall appeared. Meanwhile, there was a good correspondence relationship between the blizzard area and the large-value area of low-level wet Q vector divergence. The mesoscale cloud clusters continuously generated, merged, and moved eastward in Hetao area was the direct cause of this blizzard, and the TBB of the cloud clusters was ≤ -56 ℃. The blizzard happened in the the edge gradient and large-value area of TBB.

 摘要： To address the severe challenges of PM2.5 and ozone co-control during the "14th Five-Year Plan" period and to enhance the precision and intelligence level of air environment governance, it is imperative to build an efficient comprehensive management platform for regional air quality. In this paper, the specific practice in Zibo City, Shandong Province is as an example to  systematically analyze the top-level design, technical implementation, and innovative application of a comprehensive management platform for regional air quality integrating "perception monitoring, data fusion, research judgment of early warnings, analysis of sources, collaborative dispatching, and evaluation assessment". Through the construction of an "sky-air-ground" integrated three-dimensional monitoring network, the platform integrates multi-source heterogeneous environmental data, and employs big data, cloud computing, artificial intelligence, CALPUFF/CMAQ, and other numerical model technologies to achieve comprehensive perception, precise prediction, intelligent source tracing, and closed-loop management of air pollution. The platform innovatively establishes a full-process closed-loop management mechanism of "data-early warning-disposition-evaluation", and achieves a fundamental transformation from passive response to active anticipation and from experience-based judgment to data driving in environmental supervision. The application results show that this platform significantly improves the scientific decision-making ability and collaborative execution efficiency of air pollution governance in Zibo City, providing a replicable and scalable comprehensive solution for similar industrial cities to achieve the continuous improvement of air quality.

 摘要： Research on tourism climate comfort is undergoing a paradigm shift from classic static assessment to intelligent dynamic sensing. Early models such as temperature-humidity index and tourism climate index, established based on data of meteorological stations, laid the foundation for the discipline but were unable to meet the dynamic demands of climate change, spatial heterogeneity, and individual experience. Global climate change is reshaping the landscape of tourism comfort and driving the assessment to shift towards future risk prediction. Downscaling technology becomes the key to connecting global scenarios and local assessments. Remote sensing and Internet of Things technologies have constructed a "sky-ground" collaborative sensing network, achieving a revolution in data acquisition. Artificial intelligence and big data analysis serve as the intelligent core to drive research from description to prediction. The new paradigm has significant potential in improving assessment accuracy and timeliness, but also faces challenges such as data integration, model interpretability, interdisciplinary integration, and ethical privacy. In the future, it is needed to develop interpretable AI, construct climate digital twins, and promote full-chain coupling research. This transformation is not merely an upgrade of methods, but a fundamental shift in the study of philosophy from an "environment-centered" perspective to an "experience-centered" one, providing key scientific support for sustainable tourism.

 摘要： As an independent aesthetic category, “meteorology” holds a pivotal position in literary works. The emergence of the category of meteorological aesthetics lies in the observation of philosophical concepts and attitudes towards life contained in the ontology of the universe, and the realization of the aesthetic realm of "unity of man and nature, unity of things and oneself" between humans and nature. Mr. Liu Zhicheng, as a meteorological poet, devoted his life to the cause of meteorology and China's meteorological technology. The poem Love Song of the Wind and Clouds is a portrayal of the poet's life. The book reflects the poet's consistent pursuit of traditional aesthetics and natural atmosphere, and contains the poet's personal insights into his own spirit and life ideals, with extremely high poetic value. Therefore, this paper takes a new perspective of meteorological aesthetics theory and aims to explore the aesthetic relationship between natural meteorology and humanistic spirit, in order to appreciate the spiritual charm and aesthetic connotation in Liu Zhicheng's poetry collection Love Song of the Wind and Clouds.

 摘要： In this paper, the Jiangxi section of the red army’s long march is taken as the research object to construct a red cultural heritage corridor. Introducing the theory of heritage corridor, on the basis of its hierarchical decomposition and comparative judgment, a hierarchy model of the red cultural heritage corridor resource is established. The comprehensive scores of each factor are obtained through expert scoring, and the overall pattern of red army corridor is constructed as "ring-shape-point". New ideas for protection and utilization as well as protection implementation measures are proposed, and the spiritual and cultural connotations of long march in Jiangxi are fully explored. This could help the social and economic development of the areas along the long march of red army in Jiangxi, and promote the integrated utilization and coordinated development of resources in the red cultural heritage corridor region.

 摘要： With the advent of the big data era, modern statistics has enjoyed unprecedented development opportunities and also faced numerous new challenges. Traditional statistical computing methods are often limited by issues such as computer memory capacity and distributed storage of data across different locations, and are unable to directly apply to large-scale data sets. Therefore, in the context of big data, designing efficient and theoretically guaranteed statistical learning and inference algorithms has become a key issue that the current field of statistics urgently needs to address. In this paper, the application status of statistical analysis methods in the big data environment was systematically reviewed, and its future development directions were analyzed to provide reference and support for the further development of theory and methods of the statistical analysis of big data.

 摘要： It is a strategic measure to implement the fundamental task of cultivating morality and nurturing people by comprehensively promoting the construction of ideological and political education in curriculum. In this paper, the Finance course at Yangtze University is taken as the research object. Addressing the current problem of the "two skins" between professional courses and ideological and political education, it systematically elaborates on the constructed "value guidance-knowledge transmission-ability cultivation" trinity integrated model of ideological and political education in curriculum, which provides a valuable reference for the ideological and political construction in similar courses through the paradigm of "localized cases+collaborative practice+systematic education".

 摘要： The deep integration of artificial intelligence technology and agricultural industry has pushed smart agriculture into a new stage of "AI+ scenario", and put forward a transformation requirement for the talent cultivation of smart agriculture major in universities from "technology application" to "intelligent innovation". In response to the problems of insufficient AI integration, lack of contextualization, and insufficient collaboration between industry and education in the traditional "technology+" practical course system, this paper takes the smart agriculture major at Yulin Normal University as an example to construct a "AI+ agriculture" practical course reconstruction framework and propose a four-dimensional transformation path of "goal-content-mode-evaluation". Through the practical exploration of modular curriculum design, scenario based practical design, integration of industry and education, and intelligent evaluation reform, a practical teaching system with local application-oriented university characteristics has been formed, providing a reference example for the cultivation of smart agriculture professionals under the background of new agricultural science.