物化探综合信息找矿方法在萤石矿找矿中的应用

福建光泽地区是闽北地区重要的萤石矿成矿远景区,具有寻找隐伏—半隐伏萤石矿的潜力,但是目前该区隐伏—半隐伏萤石矿找矿成果较少。通过对福建光泽地区I号萤石矿预测区开展物化探综合信息找矿方法应用,探讨物化探综合信息找矿方法在隐伏—半隐伏萤石矿找矿中的应用效果。结果表明: 区域水系沉积物测量和大比例尺化探剖面测量圈出的F、Ca等综合异常信息可协助筛选、确定萤石矿找矿目标区; 将高精度磁法测量与视电阻率联合剖面测量相结合,可进一步判断萤石矿控矿构造的位置和规模; 高密度电阻率法测量可协助确定控矿构造的深部延伸情况。地表检查和深部钻探验证表明: 区域化探、高精度磁法测量、视电阻率联合剖面测量和高密度电阻率法测量等物化探综合信息找矿方法组合,可指导隐伏—半隐伏萤石矿的找矿工作。     

综合地球物理方法在蒙古国中戈壁省某 铁-锌多金属矿区勘查中的应用

采用高精度磁法与双频激电法相结合的方式对蒙古国中戈壁省某铁-锌多金属矿区进行地球物理勘查评价,圈定出多个低磁、高视幅频率、低视电阻率异常区,经工程验证该异常由多个铁-锌金属矿体引起,矿体赋存于花岗岩与大理岩接触交代所形成的矽卡岩带内,矿床成因类型为接触交代矽卡岩型,矿床规模为中型。该矿区研究结果表明,高精度磁法与双频激电法的联合应用,可以快速圈定深部铁锌多金属矿化异常体,并为后期探矿工程部署提供依据,是寻找同类型矿床的有效方法之一。     

Interactions between European agricultural policy and climate change: a Slovenian case study

This article analyses the interactions between agricultural policy measures in the EU and the factors affecting GHG emissions from agriculture on the one hand, and the adaptation of agriculture to climate change on the other. To this end, the article uses Slovenia as a case study, assessing the extent to which Slovenian agricultural policy is responding to the challenges of climate change. All agricultural policy measures related to the 2007–2013 programming period were analysed according to a new methodological approach that is based on a qualitative (expert evaluation) and a quantitative (budgetary transfers validation) assessment. A panel of experts reached consensus on the key factors through which individual measures affect climate change, in which direction and how significantly. Data on budgetary funds for each measure were used as weights to assess their relative importance. The results show that there are not many measures in (Slovenian) agricultural policy that are directly aimed at reducing GHG emissions from agriculture or at adaptation to climate change. Nevertheless, most affect climate change, and their impact is far from negligible. Current measures have both positive and negative impacts, but overall the positive impacts prevail. Measures that involve many beneficiaries and more budgetary funds had the strongest impact on aggregate assessments. In light of climate change, agricultural policy should pay more attention to measures that are aimed at raising the efficiency of animal production, as it is the principal source of GHG emissions from agriculture.

Policy relevance

Agricultural policy must respond to climate challenges and climate change impact assessment must be included in the process of forming European agricultural policy. Agricultural policy measures that contribute to the reduction of emissions and adaptation, whilst acting in synergy with other environmental, economic and social goals, should be promoted. The approach used in this study combines qualitative and quantitative data, yielding an objective assessment of the climate impact of agricultural policy measures and providing policy makers with a tool for either ex ante or ex post evaluations of climate-relevant policy measures.     

High-resolution Projection Dataset of Agroclimatic Indicators over Central Asia

To understand the potential impacts of projected climate change on the vulnerable agriculture in Central Asia (CA), six agroclimatic indicators are calculated based on the 9-km-resolution dynamical downscaled results of three different global climate models from Phase 5 of the Coupled Model Intercomparison Project (CMIP5), and their changes in the near-term future (2031–50) are assessed relative to the reference period (1986–2005). The quantile mapping (QM) method is applied to correct the model data before calculating the indicators. Results show the QM method largely reduces the biases in all the indicators. Growing season length (GSL, day), summer days (SU, day), warm spell duration index (WSDI, day), and tropical nights (TR, day) are projected to significantly increase over CA, and frost days (FD, day) are projected to decrease. However, changes in biologically effective degree days (BEDD, °C) are spatially heterogeneous. The high-resolution projection dataset of agroclimatic indicators over CA can serve as a scientific basis for assessing the future risks to local agriculture from climate change and will be beneficial in planning adaption and mitigation actions for food security in this region.     

较发达地区农业产业化地域模式研究——以江苏省海安县为例

以江苏省海安县为例,依据实地调研获取的信息,追踪较发达地区农村经济从多种经营-支柱产业形成-农业产业化经营的演进历程,分析其农业产业化的特征,并以禽蛋和茧丝绸业为重点总结较发达地区农业大县农业产业化的地域模式。     

黑龙江大兴安岭地区航磁异常特征及找矿效果

利用大兴安岭地区1∶5万高精度航磁资料,结合区域地质背景分析了该区航磁异常特征,依据地物化资料、已知矿(床)点的分布及成矿规律筛选出了一批航磁异常。在最新的高精度航磁图上,已知铁矿异常特征明显,经对比研究及综合查证发现了1处磁铁矿点及多处有色金属、贵金属矿点,在此基础上总结了查证经验,指明了今后采用航磁数据在区内的找矿方向。     

风云三号气象卫星掩星大气产品精度的初步检验

风云三号气象卫星C星于北京时间2013年9月23日成功发射,其上搭载了中国第一个以掩星方式探测中性大气和电离层大气的民用新型有效载荷——全球导航卫星掩星探测仪(Global Navigation Satellite System Occultation Sounder, GNOS)。GNOS可以接收GPS(Global Positioning System)导航卫星和中国北斗导航卫星信号,进而得到全球范围内的中性大气和电离层大气的探测结果。利用常规无线电探空资料,对GNOS接收GPS信号的掩星探测大气产品(包括折射率、密度、温度以及湿度廓线)进行检验,结果表明:在近地面至25 km垂直范围内,GNOS掩星大气产品折射率廓线和干大气密度廓线的平均偏差在0.5%左右,标准偏差在2%左右;温度廓线的平均偏差约为0.5 K,标准偏差约为2 K;水汽廓线的标准偏差在6 km 以下为0.25—1.0 g/kg。对于风云卫星首次尝试的掩星观测技术,GNOS掩星产品的精度基本达到预定目标,在未来还有改进的空间。     

数字地籍测量的精度研究

本文通过对全站仪数字地籍测量技术在地籍测量中有关问题的探讨,详细说明了全站仪数字地籍测量技术在地籍测量时的精度影响因素,通过理论分析和实际数据探讨了数字地籍测量所能达到的精度,可作为制定地籍测量规范和地籍测量工作者的一个参考资料.     

基于LinuxPPS的高精度校时系统实现

为了实现南极天文观测设备的精确校时,采用搭建高精度网络时间协议NTP（Network Time Protoc01）服务器的方法实现。基本思路是从NMEA0183数据中提取时间信息,通过PPS信号保证高精度。具体实现方法：主要采用GPS接收芯片G591构造硬件电路,软件部分需要LinuxPPS（Linux Pulse Per Second）和NTP服务器软件的正确安装和配置。对照实验表明基于LinuxPPS的NTP服务器是精确、稳定而可靠的。     

北斗与GPS组合伪距单点定位精度分析

主要介绍了北斗与G PS组合单点定位时的原理和模型,根据自编程序,利用同济大学TJA站的数据进行计算及分析比较GPS伪距、北斗伪距、北斗/GPS组合伪距单点定位的精度。结果表明：北斗伪距单点定位的精度平面方向上达到3m以内,高程方向优于8 m ,满足普通导航定位的需求。北斗/G PS组合伪距单点定位精度明显优于单系统。在单系统观测条件差时,组合系统可以减少对单一系统的依赖性,而且还可以增强卫星定位的稳定性和可靠性。