从最初的无名者到如今中国新能源汽车领跑者,比亚迪是如何一步步登顶的?比亚迪股份有限公司成立于1995年2月10日,迄今已走过近30年历程,从最初的无名者到如今中国新能源汽车领跑者,可谓完成了品牌逆袭与企业蝶变,正如“BYD”的释义“Bui...从最初的无名者到如今中国新能源汽车领跑者,比亚迪是如何一步步登顶的?比亚迪股份有限公司成立于1995年2月10日,迄今已走过近30年历程,从最初的无名者到如今中国新能源汽车领跑者,可谓完成了品牌逆袭与企业蝶变,正如“BYD”的释义“Build Your Dream”,比亚迪用近30年向上突围,经历造梦、筑梦和圆梦,在新能源领域施展拳脚,垒起汽车产业的伟大工程。在新能源领域洗牌的关键期,探究比亚迪的制胜逻辑尤为必要。展开更多
本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了近30年中国区域气温年际以及四季的时空变化特征。结果表明:1990~2022年新疆地区气温年际以及秋、冬两个季节均呈不显著增温趋(P > 0.05),春、夏两个季节呈现显著...本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了近30年中国区域气温年际以及四季的时空变化特征。结果表明:1990~2022年新疆地区气温年际以及秋、冬两个季节均呈不显著增温趋(P > 0.05),春、夏两个季节呈现显著增温趋势(P In this paper, based on CRU temperature data, Mann-Kendall mutation test and linear trend method are used to analyze the spatial and temporal variations of inter-annual and four seasons of regional temperature in China in recent 30 years. The results showed as follows: During 1990~2022, the temperature in Xinjiang showed no significant warming trend in the inter-annual and autumn and winter seasons (P > 0.05), while the temperature in spring and summer showed a significant warming trend (P < 0.05). The spatial pattern of interannual and four seasons is basically the same. The high temperature areas are distributed in the central part of southern Xinjiang. The low temperature areas are distributed in the Tianshan Mountains, and the temperature in southern Xinjiang is higher than that in northern Xinjiang in all seasons. In terms of spatial variation trend, the whole region showed a trend of increasing temperature or decreasing temperature, and there were relatively many significant variation areas.展开更多
文摘从最初的无名者到如今中国新能源汽车领跑者,比亚迪是如何一步步登顶的?比亚迪股份有限公司成立于1995年2月10日,迄今已走过近30年历程,从最初的无名者到如今中国新能源汽车领跑者,可谓完成了品牌逆袭与企业蝶变,正如“BYD”的释义“Build Your Dream”,比亚迪用近30年向上突围,经历造梦、筑梦和圆梦,在新能源领域施展拳脚,垒起汽车产业的伟大工程。在新能源领域洗牌的关键期,探究比亚迪的制胜逻辑尤为必要。
文摘本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了近30年中国区域气温年际以及四季的时空变化特征。结果表明:1990~2022年新疆地区气温年际以及秋、冬两个季节均呈不显著增温趋(P > 0.05),春、夏两个季节呈现显著增温趋势(P In this paper, based on CRU temperature data, Mann-Kendall mutation test and linear trend method are used to analyze the spatial and temporal variations of inter-annual and four seasons of regional temperature in China in recent 30 years. The results showed as follows: During 1990~2022, the temperature in Xinjiang showed no significant warming trend in the inter-annual and autumn and winter seasons (P > 0.05), while the temperature in spring and summer showed a significant warming trend (P < 0.05). The spatial pattern of interannual and four seasons is basically the same. The high temperature areas are distributed in the central part of southern Xinjiang. The low temperature areas are distributed in the Tianshan Mountains, and the temperature in southern Xinjiang is higher than that in northern Xinjiang in all seasons. In terms of spatial variation trend, the whole region showed a trend of increasing temperature or decreasing temperature, and there were relatively many significant variation areas.