市场化背景下中国城市电视市场结构空间格局演变 ——以30个省会城市、直辖市为例

在回顾电视传媒市场化改革的基础上,结合时空分析、标准距离法和决策树C5.0演算法,研究了2005―2015年4个直辖市和26个省会城市电视市场结构的空间格局演变及其影响因素。结果发现：电视市场空间格局存在3阶段变化特征,市场化发展期为南北差异格局,市场化推进期为东西差异格局,市场化深化期东西差异格局进一步细化;文化差异、电视传媒发展、市场的“马太效应”分别是3个市场化阶段电视市场结构空间格局演变的主要原因,市场化使电视市场结构从文化差异主导的空间格局演变为经济差异主导的空间格局。     

基于土地集约利用的长株潭城市群建设用地供需仿真模拟

土地集约利用反映了土地利用的综合状态,是协调土地供需平衡的重要指标。运用系统动力学（SD）构建城市建设用地供需反馈关系回路以及指标变量函数,在此基础上,建立长株潭城市群建设用地供需系统模型,仿真模拟低土地集约利用度、中等土地集约利用度、高土地集约利用度三种不同状态条件下,2016-2030年区域的建设用地、工业用地和居住用地供需变化趋势。结果表明：① 研究区用地规模仍处于扩张状态,城市建设用地数量增长速度总体较快。但三种发展状态下用地增长规模、速度存有差异;② 在低集约度模式下,建设用地规模及供地数量大,易造成土地资源的浪费;高集约度模式下,建设用地供给紧缩,用地规模增长缓慢,总规模偏小,不利于城镇化的良性发展;中等集约度模式则在用地规模和供给量上均与社会经济发展相适应,能体现现代城市发展理念;③ 工业用地占建设用地比例保持在15%~21%之间,其中低集约度模式下比例逐年上升,中等和高集约度模式下呈缓慢下降并趋于稳定之势;居住用地占建设用地的比例维持在27%~35%之间,其中低集约度和中等集约度模式用地占比呈下降趋势,高集约度模式比例总体维持在较高水平。研究通过对三种发展模式的设定,确定了不同指标在三种模式下的变化趋势,可为土地供需决策优化、城市建设规划及土地供给侧结构性改革提供科学参考。     

The influence of rainfall and land use patterns on soil erosion in multi-scale watersheds: A case study in the hilly and gully area on the Loess Plateau,China

Soil erosion has become a major global environmental problem and is particularly acute on the Loess Plateau (LP), China. It is therefore highly important to control this process in order to improve ecosystems, protect ecological security, and maintain the harmonious relationship between humans and nature. We compared the effects of rainfall and land use (LU) patterns on soil erosion in different LP watersheds in this study in order to augment and improve soil erosion models. As most research on this theme has so far been focused on individual study areas, limited analyses of rainfall and LU patterns on soil erosion within different- scale watersheds has so far been performed, a discrepancy which might influence the simulation accuracies of soil erosion models. We therefore developed rainfall and LU pattern indices in this study using the soil erosion evaluation index as a reference and applied them to predict the extent of this process in different-scale watersheds, an approach which is likely to play a crucial role in enabling the comprehensive management of this phenomenon as well as the optimized design of LU patterns. The areas considered in this study included the Qingjian, Fenchuan, Yanhe, and Dali river watersheds. Results showed that the rainfall erosivity factor (R) tended to increase in these areas from 2006 to 2012, while the vegetation cover and management factor (C) tended to decrease. Results showed that as watershed area increased, the effect of rainfall pattern on soil erosion gradually decreased while patterns in LU trended in the opposite direction, as the relative proportion of woodland decreased and the different forms of steep slope vegetation cover became more homogenous. As watershed area increased, loose soil and craggy terrain properties led to additional gravitational erosion and enhanced the effects of both soil and topography.     

China’s Belt and Road Initiative in Support of the Resourcing Future Generations Program

The Resourcing Future Generations (RFG) program is a global strategy proposed by the International Union of Geological Sciences to meet global demand for natural resources. The Belt and Road (B&R) initiative of China provides a great opportunity for promoting the RFG across much of the Eurasian continent. The countries covered by the B&R initiative are mostly low-income economies. With rapid developments of economy and infrastructure construction, these countries are set to have huge demands for mineral resources in the future. However, the proven mineral reserves in this region are too limited, and the region’s overall level of metal recycling is far from optimistic. These countries are expected to have obstacles in meeting future demands. However, the regional Tethyan metallogenic domain and Central Asia metallogenic district are key areas for new discoveries of mineral resources, possessing a variety of mineral resources with a positive prospecting potential. The B&R initiative of China provides favorable opportunity for mutual beneficial cooperation to improve regional exploration and prospecting through geological mapping, inter-comparison study on Tethyan metallogenic domain, joint assessment of mineral resource potentials, joint training of geological engineers and workers and building information systems.     

建筑物高度对地闪回击电磁场影响的模拟

基于三维时域有限差分数值算法（3D-FDTD）建立了雷击高建筑物电磁场传播模型,研究了负地闪击中不同高度建筑物时回击垂直电场、角向磁场以及水平电场沿地表的传播规律。模拟结果表明:建筑物的高度对雷电电场峰值的影响显著,如当建筑物高度从100 m增加至600 m时,在距离d=100 m位置的垂直电场峰值减小了63%,水平电场正极性峰值的增加比例为84%、负极性峰值的绝对值增加比例高达130%;观测位置不变时,角向磁场峰值和水平电场正极性峰值均会随着建筑物高度的增加而增大;对于距离d=100 m,300 m时,垂直电场的峰值随着建筑物高度的增加而减小,而d=500 m时,垂直电场峰值随着建筑物高度的增加呈现出先增大后减小的趋势;此外,建筑物高度会影响垂直电场峰值对距离的敏感程度,建筑物越低（高）,相应的垂直电场峰值随着观测距离增大衰减越快（慢）。该文研究结果能够为现代化城市中高建筑物附近线缆、室外设备等的雷电防护方案设计提供参考。     

湖南省油菜春季涝渍过程灾变判别指标

以湖南省油菜为研究对象,综合洪涝与连阴雨的致灾因子,利用历史灾情数据反演涝渍过程样本,构建临灾、受灾状态样本,采用均值t检验方法,定量分析不同降水累积衰减系数w情况下,降水因子差异的显著性,构建有效累积降水量P_E。基于Fisher判别准则,计算涝渍灾害临灾与受灾的临界线,构建逐日动态的油菜春季涝渍过程灾变判别指标y,并进行涝渍过程样本反演及独立样本验证。分析春季涝渍受灾频率与相对气象产量的关系,构建灾害影响评价模型。结果表明:当w=0.899时,受灾与临灾样本P_E的差异最显著。灾变判别指标y可逐日动态监测涝渍灾变过程及灾害后续影响,为动态监测区域油菜涝渍过程提供了数据支撑;指标指示的灾变范围与实际受灾情况基本一致,为区域防灾减灾提供了科学参考。开花期及结荚期湖南油菜涝渍受灾频率较高,成熟期较低。湖南省油菜春季涝渍灾害影响指数呈东南高西北低,长沙东部、株洲中部及北部、湘潭、永州及郴州中部油菜产量受涝渍灾害影响最重。     

CINRAD/SA(B)发射机触发器芯片级故障诊断流程

发射机触发放大器主要为调制器中SCR开关管提供放电触发脉冲,同时兼具调制组件的保护功能。发射机触发器芯片级故障诊断流程将触发器故障定位到芯片级,大大降低了触发器故障维修成本,同时为雷达测试平台中触发器故障自动诊断建模提供了技术支持。在发射机触发器信号流程基础上,依据发射机触发器关键点波形或关键点电平,通过触发器故障树图了解故障因果关系,研究出规范化的触发器芯片级故障诊断流程。列举了依据触发器芯片级故障诊断流程,修复了由于单稳态触发器无触发信号输出,导致无-200V放电触发信号的单稳态触发器故障个例。结果表明:芯片级触发器故障诊断流程可以快速定位发射机触发器故障点到最小可更换芯片。具有操作方法简洁、诊断思路清晰、操作规范,基层雷达站技术人员容易掌握的特点,可有效提高新一代天气雷达技术保障水平,保证雷达观测数据的可靠性。     

利用太阳法自动标定L波段探空雷达天线指向

L波段探空雷达方位、仰角的标定通常借助北极星和经纬仪来完成,对其正确性缺乏可靠有效的检验工具,本文利用高精度的太阳位置算法,采用Python语言进行程序设计和封装,根据台站实际经纬度、太阳赤纬角和时差,从理论上计算出太阳实时位置去标定雷达天线指向,并在多个台站进行了测试和偏差分析,其精度为≤0.3°,参考国内新一代天气雷达天线波束指向定标技术指标(≤0.3°),其精度达到相关业务要求。同时,该算法软件还能为探空员日常检查雷达性能,判断雷达有无故障提供更为快捷的手段,确保探空资料的可靠性。     

基于WheatSM模型参数优化的鹤壁地区冬小麦生长发育模拟研究

采用EFAST方法和SCE-UA算法优化WheatSM模型参数,采用区域模拟和单站插值的方法对2013—2017年鹤壁市冬小麦各发育期日数和产量进行模拟修订,为WheatSM作物模型在豫北地区的业务应用提供参考。研究发现:区域模拟方法对鹤壁地区冬小麦生育期开始日期的模拟效果除出苗期、越冬期的外,其他均好于单点插值方法的。单点插值方法对越冬期的模拟效果明显好于区域模拟方法的。冬小麦产量的模拟效果区域模拟方法也比单点插值方法好,但两种结果的相对误差均较大。通过对WheatSM模型得到的冬小麦气象产量模拟结果进行修订,可以明显提高模型产量模拟结果。2013—2017年鹤壁地区模拟产量的误差为-17. 92%～-2. 98%,RMSE为1114. 9 kg/hm~2,NMSE为12. 59,模拟效果较好。利用区域模拟方法可以对区域内单个站点的冬小麦生长发育和产量进行模拟,但对越冬期开始时间的模拟需要参考单点插值方法的相应结果。     

Analysis of extreme precipitation characteristics in low mountain areas based on three-dimensional copulas—taking Kuandian County as an example

Rainfall in New South Wales (NSW), located in the southeast of the Australian continent, is known to be influenced by four major climate drivers: the El Niño/Southern Oscillation (ENSO), the Interdecadal Pacific Oscillation (IPO), the Southern Annular Mode (SAM) and the Indian Ocean Dipole (IOD). Many studies have shown the influences of ENSO, IPO modulation, SAM and IOD on rainfall in Australia and on southeast Australia in particular. However, only limited work has been undertaken using a multiple regression framework to examine the extent of the combined effect of these climate drivers on rainfall. This paper analysed the role of these combined climate drivers and their interaction on the rainfall in NSW using Bayesian Model Averaging (BMA) to account for model uncertainty by considering each of the linear models across the whole model space which is equal to the set of all possible combinations of predictors to find the model posterior probabilities and their expected predictor coefficients. Using BMA for linear regression models, we are able to corroborate and confirm the results from many previous studies. In addition, the method gives the ranking order of importance and the probability of the association of each of the climate drivers and their interaction on the rainfall at a site. The ability to quantify the relative contribution of the climate drivers offers the key to understand the complex interaction of drivers on rainfall, or lack of rainfall in a region, such as the three big droughts in southeastern Australia which have been the subject of discussion and debate recently on their causes.