基于面向对象分类的稀土开采区遥感信息提取方法研究

离子吸附型稀土矿是我国宝贵的矿产资源,运用遥感影像分类技术提取稀土开采区可以准确地实现对稀土开采状况的监测,但仅利用光谱信息往往难以保证分类精度。本文以江西寻乌稀土矿区为研究区,以IKONOS影像为数据源,应用面向对象分类方法提取了稀土开采区的遥感信息。针对稀土开采区的分布特点,选择基于边缘的分割算法进行影像分割;结合地形信息、光谱信息及几何信息建立规则集,进行特征提取;最后采用隶属度函数法实现面向对象分类,并与传统的光谱角填图分类进行对比分析。研究结果表明,面向对象分类法提取稀土开采区的总体精度为92.49%,Kappa系数为0.857 6,与传统监督分类方法相比有了很大的提高。     

云南个旧多金属矿石门坎—保和地区Sn、Sb元素的成矿信息识别与提取

石门坎—保和地区位于云南个旧多金属成矿区西南部,成矿背景复杂,成矿作用具有多期性和多样性。利用研究区1∶1万土壤化探数据,采用泛克里格法和因子分析相结合的方法,提取不同层次的成矿异常信息。结果表明:主因子F_3包含Mo-Au-Sb等元素,反映成矿过程中的岩体和热液相关信息;主因子F_4包含Sn-Bi-W元素,指示中低温热液矿化环境; Sb沿杨家田断裂呈串珠状分布,反映了由北东向构造控制的空间变化特征,与已知矿点对应良好; Sn元素异常在研究区北部呈双峰状环形分布,推测受隐伏岩体或者断层控制。根据元素组合异常F_3和F_4的分布规律,结合地质资料圈定出2个找矿靶区,为进一步找矿工作提供了方向。     

Novel fusion approach on automatic object extraction from spatial data: case study Worldview-2 and TOPO5000

The automatic extraction of information content from remotely sensed data is always challenging. We suggest a novel fusion approach to improve the extraction of this information from mono-satellite images. A Worldview-2 (WV-2) pan-sharpened image and a 1/5000-scaled topographic vector map (TOPO5000) were used as the sample data. Firstly, the buildings and roads were manually extracted from WV-2 to point out the maximum extractable information content. Subsequently, object-based automatic extractions were performed. After achieving two-dimensional results, a normalized digital surface model (nDSM) was generated from the underlying digital aerial photos of TOPO5000, and the automatic extraction was repeated by fusion with the nDSM to include individual object heights as an additional band for classification. The contribution was tested by precision, completeness and overall quality. Novel fusion technique increased the success of automatic extraction by 7% for the number of buildings and by 23% for the length of roads.     

复垦土地样品中石油类物质加速溶剂萃取-荧光分光光度法分析方法研究

作为土地环境质量的一项重要指标,石油类物质含量决定了土地的用途。对于复垦土地样品,在一定程度上反映了污染土地的复垦、治理效果。土壤样中的石油类物质测定方法主要有气相色谱法、红外分光光度法、紫外光谱法等。气相色谱法主要应用于测定样品中的饱和烷烃;红外分光光度法通过测定不同波数下的特征吸收值来表征样品中石油类物质,但采用四氯乙烯为溶剂,试剂环境危害大,前处理效率低,检出限高。本文针对复垦土地样品中石油类物质含量不高,组分多为难挥发且结构复杂、基质干扰大的特点,采用正己烷为溶剂、加速溶剂萃取(ASE)前处理,荧光分光光度计测定样品中的石油类物质。以海洋环境监测石油标准物质为标准样品配制工作曲线,线性相关系数r~2=0.9997;方法检出限为0.40mg/kg,检测下限为1.60mg/kg;实际样品方法精密度为1.10%～8.76%;基质加标回收率为89.0%～95.7%;检测实际样品的结果与现行有效的HJ 1051—2019红外分光光度法基本一致,高含量样品的测定结果高于红外法。本方法所用溶剂正己烷的毒性小于四氯乙烯,前处理方法ASE的自动化程度高,萃取效率高,精密度提高11.5%～67.3%。对于石油类组分结构相对复杂、难提取的样品,本方法检出限低于红外法(4mg/kg)。     

小体积液液萃取气相色谱-质谱法测定地下水中的克百威与3-羟基克百威

克百威和3-羟基克百威是一对典型的农药母体及其代谢产物,由于其水溶性高、毒性大,可通过地表水或地下水进行长距离迁移,对人类健康和环境安全造成危害。以往通常采用液相萃取或固相萃取的方式提取样品中的克百威和3-羟基克百威,但这些方法操作繁琐、耗时较长,不利于室内模拟实验中多组样品的检测。为实现克百威与3-羟基克百威在地下水中的快速定量,本文建立了一种小体积液液萃取的前处理方法进行提取,并采用气相色谱-质谱(GC-MS)进行检测,对影响克百威和3-羟基克百威萃取效率的因素进行了研究。通过实验对比不同萃取剂、不同pH、不同离子强度条件下克百威与3-羟基克百威的回收率,优化了前处理条件。结果表明,选择二氯甲烷作为萃取剂且用量为1mL,调节水样pH=5,氯化钠用量为40g/L时克百威和3-羟基克百威的回收率最高,分别为75.1%～98.6%、55.0%～66.3%。性能评价结果显示,方法精密度和方法准确度满足测试要求(相对标准偏差10%,n=5),克百威和3-羟基克百威的方法检出限分别为15.3μg/L、10.2μg/L。该方法操作简便、快速、消耗溶剂少,与传统的液液萃取法相比,本方法耗时约为前者的1/8,消耗溶剂量约比前者小2个数量级,能够满足室内模拟实验需求。     

基于无人机倾斜摄影的黄土滑坡信息多维提取与应用分析

本文针对黄土地区地质灾害调查与评估需求,探索了一种基于无人机倾斜摄影影像和飞控数据的滑坡单体信息多维提取的方法。通过影像处理获得的DEM、DOM和实景三维模型等多维数据,对贾家村滑坡坡形、坡度、相对高差、植被覆盖率、纵坡比降、表面积与物源体积进行定量提取,结合区域气象数据分析了贾家村滑坡年均降雨量时空分布规律,利用相关地质资料分析了其地层岩性特点和区域地质构造情况,为准确评定其稳定性及危险性提供既高效又准确的定性、定量参考依据。     

煤矿井下碎软煤层瓦斯抽采钻孔钻进工艺

碎软煤层在我国煤矿区分布广泛,具有瓦斯含量高、压力大、渗透率低等特征,在碎软煤层中钻进存在喷孔、塌孔、排渣不畅等问题,导致碎软煤层钻进困难、孔内事故频发,进而影响成孔深度和成孔率,造成瓦斯治理盲区;尤其是随着我国煤矿开采深度的增加,碎软煤层瓦斯抽采孔工作量和成孔难度不断增大。针对碎软煤层瓦斯抽采对钻孔施工需求,研究开发了高转速螺旋钻进工艺、中风压空气钻进工艺、气体定向钻进工艺等实用、经济的碎软煤层高效钻进技术,破解了碎软煤层钻孔排渣护孔、轨迹控制和高效成孔等方面难题,实现了碎软煤层钻孔在服役周期内的长效利用,相关技术在安徽、贵州、山西等地区成功推广应用,达到高效、精准抽采的目的,为矿井安全生产提供了技术保障。     

基于相干特征的岩石薄片序列图像边缘提取及颗粒分割

针对岩石颗粒边缘模糊、结构复杂的特点,为了更有效地识别颗粒边缘,在基于特征值的C3相干算法的基础上,融合多尺度和多角度的特征表达,提出了一种改进的C3相干算法。该算法综合考虑岩石薄片图像角度域光学特征、空间尺度信息和各向异性信息,能更有效地表征颗粒边缘特征,表现出对复杂矿物结构的适应能力。在采集的岩石薄片正交偏光图像上验证提出的算法,实验结果表明,与原生C3相干算法相比,改进后的C3相干算法在全局图像上的方差和灰度差分乘积分别提升了68.41%和22.91%,信息熵下降了21.61%。     

Who governs here? Informal resource extraction,state enforcement,and conflict in Ghana

Over the past two decades, “illegal” natural resource extraction has become a significant driver of environmental change and social conflict across the Global South. In response, numerous Sub-Saharan African states have engaged in governance reforms that heed calls to securitize – or, establish and consolidate state control over – natural resources. In Ghana, securitization has served to entrench the informal economy as domestic producers, marginalized in the process of reform, continue to utilize non-state institutions to maintain access. While the Ghanaian state has branded “illegal” resource extraction a major environmental, social, and national security concern, it has responded to this threat unevenly; it has violently enforced its authority in some contexts but remained relatively indifferent in others. This article explores the phenomenon of selective enforcement to explain patterns of violence that have emerged between state and society in response to both securitization and informality. Drawing on a multimethod approach, I find that natural resource governance authority remains fragmented across resource contexts, and that the configuration of authority and interests on the ground shapes the extent of state intervention. I propose a natural resource typology that identifies when the state is most likely to enforce its authority, and the degree of violent conflict likely to result. Ultimately, I contend that domestic patterns of enforcement are shaped primarily by: 1) competition with local power holders over resource entitlements and 2) global conservation and extraction priorities. While specific to Ghana, this argument can provide important insights into the relationship between informal extraction, state enforcement, and social conflict in other Global South contexts.     

面向带电作业的手臂末端输出力评估方法

为了解决带电作业时手臂末端输出力的准确控制,提出一种基于表面肌电信号（sEMG信号）和支持向量机回归（SVR）实现对手臂末端施力的评估方法.通过手握机械手臂末端的手柄,做往复推拉运动,记录此时手柄处的力传感器的数据F,同时利用3组肌电信号传感器同步采集手臂的肌电信号.将肌电信号提取特征后,与力F组合成样本集合S,在样本集合中随机抽取50%的样本数据作为训练集,分别训练BP神经网络、GRNN神经网络以及SVR神经网络.最后用训练好的神经网络对整个样本集中的力F进行预测,并用均方根误差和相关系数评估模型的预测效果.结果显示,SVR神经网络的预测效果较好,其均方根误差为3.074 0,相关系数为0.951 7.