Study on the Impacts of Climate Change on China's Agriculture

This paper measures the economic impacts of climate change on China's agriculture based on the Ricardian model. By using county-level cross-sectional data on agricultural net revenue, climate, and other economic and geographical data for 1275 agriculture dominated counties, we find that under most climate change scenarios both higher temperature and more precipitation would have an overall positive impact on China's agriculture. However, the impacts vary seasonally and regionally. Autumn effect is the most positive, but spring effect is the most negative. Applying the model to five climate scenarios in the year 2050 shows that the East, the Central part, the South, the northern part of the Northeast, and the Plateau would benefit from climate change, but the Southwest, the Northwest and the southern part of the Northeast may be negatively affected. In the North, most scenarios show that they may benefit from climate change. In summary, all of China would benefit from climate change in most scenarios.     

Quantifying influence of weather indices on PM_{2.5} based on relation map

Many researches have been conducted on the health influence of Particle Matter with diameters less than 2.5 microns (PM \(_{2.5}\) ). There are also some researches on the cause of PM \(_{2.5}\) . However, such research generally focuses on the economic and political aspect of the environment issue. In this paper, a data-analysis approach of the PM \(_{2.5}\) issue is raised to offer a new viewpoint of this problem. The applied method extracts the relations of air quality system record as a relation map, which illustrates the influence among the parameters in a graph. The method successfully fitted the weather record, and derived from it the influencers of PM \(_{2.5}\) . The result shows that the average temperature, average barometric pressure and concentration of Ozone are all factors that have an influence on the concentration of PM \(_{2.5}.\) A short justification of it is also provided.     

Spatio-temporal point pattern analysis on Wenchuan strong earthquake

For exploring the aftershock occurrence process of the 2008 Wenchuan strong earthquake, the spatio-temporal point pattern analysis method is employed to study the sequences of aftershocks with magnitude M≥4.0, M≥4.5, and M≥5.0. It is found that these data exhibit the spatio-temporal clustering on a certain distance scale and on a certain time scale. In particular, the space-time interaction obviously strengthens when the distance is less than 60 km and the time is less than 260 h for the first two aftershoc...     

郑州市酸雨变化特征及影响因素分析

通过对1992-2006年郑州酸雨观测站数据以及2001年4月-2006年12月郑州空气质量逐日数据进行统计分析,发现郑州市降水酸性呈现增强趋势,主要发生在秋、冬两个季节,频率在40%以上,冬季酸雨发生天数要多于秋季,降水酸度在秋末至12月较强。影响酸雨的主要因子为PM10、SO2与NO2浓度和降水量,PM10主要通过与酸性气体的化学反应来影响降水电导率K值,降水对大气中PM10的净化有较强的作用。连续性降水过程中降水pH值有减小趋势的占57.14%,主要在于降水对地面的湿润作用有效地阻止了来自地面的可溶性微粒进入大气中,不能足够吸收大气中酸性物质,致使酸性物质直接进入降水中造成降水持续酸化。     

2008年7月23-24日山东暴雨天气过程分析

利用常规气象资料、物理量场资料、卫星云图、大气监测自动站等资料,对2008年7月23-24日出现在山东中东部的暴雨天气过程成因进行了诊断分析.结果表明:暴雨天气过程是副高边缘的西南暖湿气流、西南涡和地面倒槽共同影响造成的;副高在暴雨预报中非常关键,副高的强弱影响暴雨的落区;低空急流向暴雨区源源不断地输送水汽,为强对流的发展积累了不稳定能量;850 hPa θse的水平变化、能量锋区和6 h降水区分布关系密切,高层引导气流对低层的引导作用较大,加强对500 hPa形势场的维持和变化分析,有利于准确预报低层影响系统的发展和变化;本次过程降水存在明显的中尺度降水特征,地面辐合中心和辐合线为强降水发展提供了启动机制,强降雨中心位于地面辐合中心、辐合线附近.     

黑龙江省气候旱涝定量诊断分析

简单介绍了气候旱涝分析方法,并选择“ＢＭ”方法作为本省气候旱涝定量分析方法。以哈尔滨气候区为例,利用“ＢＭ”方法建立了气候旱涝数学模型,在此基础上提出气候旱涝定量化指标,并进行了动态追踪定量化诊断分析     

近百年中国、北半球和南半球气温内在结构比较(Ⅱ)

气温序列的变化不仅包含月、季、年、百年等不同的时间尺度,而且具有一定的局域性,全球、南半球、北半球和中国的气温变化各不相同．文中利用子波变换极大值线表征的突变点来构造一维映射动力系统的基本原理,研究中国、北半球和南半球气温的异同,从而映证了气候变化的局域性     

“五运六气”与气象医学

将1951～1980年郑州地区的气象要素（气温、风速、降雨量）的距平值与“五运六气”学说所推论气象作对比分析,两者结果比较一致。继之,收集了1953～1983年同一地区传染性肝炎、痢疾、伤寒、流行性感冒、猩红热、流行性乙型脑炎（这6种病在1983年以前均无疫苗或无有效预防）的流行资料进行分析,说明“五运六气”学说中的发病率与气候变化有较好的关系。