关于航空γ能谱测量在全球地球化学填图中的重要性

航空γ能谱测量是全球地球化学填图项目中的一个重要组成部分。该方法以遥测方式对放射性元素（天然产出的和人工的）进行地球化学填图，所获数据可用放射性元素丰度和核素剂量率来表示。由于该方法可跨越任何陆面，其９０％的响应来自地球２５ｃｍ深度的范围（称为Ａ２５层），因此该方法可获得大范围的连贯性结果。在受控制的条件下，在数公里长的测试带上通过空中与上部地表层测量建立的关系对航测仪设备进行标定，就可在一定的范     

太阳物理学中的分形和混沌

对非线性科学的两个重要分支；分形和混沌在太阳物理学中的应用情况作了综述信要内容包括；太阳活动混沌性的揭示；对太阳活动混沌性的可能解释－太阳非线性发电机理论；一些太阳现象的分形描述；耀斑的自组织临界行为研究，最后给出了作者对这一领域工作前景的展望。     

应用改进的克立格法分离重力区域异常与局部异常

地球物理区域场与局部异常场的研究在重磁资料信息分析中有十分重要的意义。本文从研究空间数据相关结构地质统计学出发，探索了解决重力区域场与局常场分离估值技术的另一条途径，推导了进行区域场与异常场估值的克立格方程组。最后通过某一区域重力资料的分析，说明该法有较好的应用效果。     

陕西新一代天气雷达与自动站联合估测降水质量评估

利用2016年和2017年共5次降水过程数据,对天气雷达-自动站联合估测降水和自动站降水、雷达OHP产品进行对比分析,并给出联合估测降水拟合的Z-R关系。结果表明:自动站1h降水量≤1mm时,联合估测降水的平均相对误差大,但均方根误差在可接受范围内,且联合估测降水量非常接近自动站降水量;自动站1h降水量1mm时,联合估测降水的效果较好,其中20mm时联合估测降水的精度最好,平均相对误差低于8%;自动站1h降水量1mm时,联合估测降水量优于雷达OHP(1h累积降水量)产品;同一次降水过程,不同时次的Z-R关系不同,无明显变化规律。     

中国县域粮食产量与农业劳动力变化耦合关系研究（英文）

In this paper we establish a model that expresses the coupled relationship between grain yield and agricultural labor changes in China, and present a preliminary discussion of the coupled processes involved in changes in these factors at the county level. Thus, we develop two coefficients on the basis of county-level statistical data for grain yield and agricultural labor for the years 1991, 2000, and 2010, namely, the grain-labor elasticity coefficient(GLEC) and the agricultural labor-transfer effect coefficient(ALTEC). The results of this study show that during the transformation process of agricultural development in China, different kinds of coupled relationships between grain yield and agricultural labor changes co-existed at the same time. For example, between 1991 and 2010, counties characterized by three different coupled modes(i.e., increasing grain yield and decreasing agricultural labor, increasing grain yield and agricultural labor, and decreasing grain yield and agricultural labor) account for 48.85%, 29.11%, and 19.74% of the total across the study area, respectively. Interestingly, a coupled relationship between increasing grain yield and decreasing agricultural labor is mainly concentrated in the traditional farming areas of China, while a coupled relationship between increasing grain yield and agricultural labor is primarily concentrated in pastoral areas and agro-pastoral ecotones in underdeveloped western China. At the same time, a coupled relationship between decreasing grain yield and agricultural labor is concentrated in areas that have experienced a rapid development transition in agriculture, especially the developed southeastern coast of China. The results of this study also show that between 1991 and 2010, 1961 counties experienced a decline in the proportion of agricultural labor; of these, 1452 are also characterized by increasing grain yield, 72.38% of the total. This coupled relationship between grain yield and changes in the proportion of agricultural labor shows a stepped fluctuation and has continually strengthened over time. Data show that mean values for the GLEC and ALTEC increased from –0.25 and –2.93 between 1991 and 2000 to –0.16and –1.78 between 2000 and 2010, respectively. These changes in GLEC and ALTEC illustrate that the influence of agricultural labor changes on increasing grain yields has gradually diminished. Finally, the results of this study reveal that the ‘Hu Huanyong Line' is a significant boundary sub-dividing this coupled relationship between grain yield and changes in agricultural labor.     

首届全球农村发展与土地能力建设国际研讨会会议综述（英文）

正Background of the conference Urbanization is one of the major land use and land cover changes sweeping the globe.Rural decline has inevitably accompanied with the increasing global levels of urban development.Emerging rural issues have swept both developing and developed countries and hindered rural     

青海省共和县橡皮山地区岩浆岩磁异常场特征

以共和县橡皮山地区1∶5万地面高精度磁测资料为基础,对磁测数据进行多项处理,并结合区内地质资料,对该地区岩浆岩的分布与磁异常的关系以及隐伏侵入岩的分布规律、状态及产状进行了探讨。     

香港地区顾及高度改正的加权平均温度模型

选用2012~2017年Kings Park 站探空资料,基于迭代最小二乘方法构建2种香港地区顾及高度改正的加权平均温度模型--T_m_hk1和T_m_hk2,并利用2018年探空资料对模型在香港地区的精度和适用性进行评估。结果表明,在香港地区,依赖测站温度的T_m_hk1模型具有较高的精度,年均偏差优于0.3 K,均方根误差优于1.8 K,与Bevis公式和GPT2w模型相比,T_m_hk1模型的精度分别提升35.4%和29.7%;而不依赖气象参数的T_m_hk2模型与GPT2w模型的精度相当,年均方根误差均优于2.5 K,Bevis公式的精度最差(RMS为2.7 K),且具有较大负偏差(bias为－1.8 K)。从季节性分析可知,Bevis公式、T_m_hk2 和GPT2w模型精度具有明显的季节性变化,总体为夏季精度较高(RMSE为1.3~2.2 K),冬季精度较低(RMSE为3.0~4.4 K);T_m_hk1模型在各季节均具有最高精度（RMSE为1.4~2.4 K）和适用性。