黑龙江平顶山金矿赋矿花岗岩锆石U-Pb年龄、Hf同位素特征及其地质意义

平顶山金矿床位于佳木斯地块与松嫩地块的衔接处北端,地处中亚造山带的东段。前人对该矿床的岩(矿)石物理化学特征及地质特征已进行了研究,但对与成矿密切相关的花岗岩缺乏系统的岩石学、地球化学和高精度年代学等方面的研究。本次研究通过锆石的LA-ICP-MS U-Pb定年、Hf同位素示踪以及全岩的主、微量元素测试,探讨了平顶山金矿区赋矿花岗岩的源区特征、形成机制和构造背景。矿区花岗岩包括早期的浅色中粒二长花岗岩和稍晚期的细粒黑云母二长花岗岩,两期花岗岩的锆石U-Pb年龄分别为271.7±2.3 Ma和249.8±3.3Ma,对应的εHf(t)为-4.17～-0.58和-4.98～-0.49,两阶段平均模式年龄tDM2分别为1432 Ma、1457Ma,原始岩浆可能来源于中元古代增生的壳源物质的重熔。两期花岗岩均以高碱(Na2O+K2O)、富Al2O3、富集LREE和LILE(Rb、Ba、Th、U和K)、低MgO、贫HREE和HFSE(Nb、Ta、P和Ti)为特征,属高钾钙碱性系列的准铝质/过铝质I型花岗岩,代表了火山弧-同碰撞环境。结合中亚造山带东段构造演化历史,我们认为平顶山金矿的花岗岩可能是古亚洲洋向北俯冲、闭合、华北克拉通与佳-蒙陆块碰撞产物。     

Arsenic Distribution Pattern in Different Sources of Drinking Water and their Geological Background in Guanzhong Basin,Shaanxi, China

To study arsenic(As) content and distribution patterns as well as the genesis of different kinds of water, especially the different sources of drinking water in Guanzhong Basin, Shaanxi province, China, 139 water samples were collected at 62 sampling points from wells of different depths, from hot springs, and rivers. The As content of these samples was measured by the intermittent flowhydride generation atomic fluorescence spectrometry method(HG-AFS). The As concentrations in the drinking water in Guanzhong Basin vary greatly(0.00–68.08 μg/L), and the As concentration of groundwater in southern Guanzhong Basin is different from that in the northern Guanzhong Basin. Even within the same location in southern Guanzhong Basin, the As concentrations at different depths vary greatly. As concentration of groundwater from the shallow wells(50 m deep, 0.56–3.87 μg/L) is much lower than from deep wells(110–360 m deep, 19.34–62.91 μg/L), whereas As concentration in water of any depth in northern Guanzhong Basin is 10 μg/L. Southern Guanzhong Basin is a newly discovered high-As groundwater area in China. The high-As groundwater is mainly distributed in areas between the Qinling Mountains and Weihe River; it has only been found at depths ranging from 110 to 360 m in confined aquifers, which store water in the Lishi and Wucheng Loess(Lower and Middle Pleistocene) in the southern Guanzhong Basin. As concentration of hot spring water is 6.47–11.94 μg/L; that of geothermal water between 1000 and 1500 m deep is 43.68–68.08 μg/L. The high-As well water at depths from 110 to 360 m in southern Guanzhong Basin has a very low fluorine(F) value, which is generally 0.10 mg/L. Otherwise, the hot springs of Lintong and Tangyu and the geothermal water in southern Guanzhong Basin have very high F values(8.07–14.96 mg/L). The results indicate that highAs groundwater in depths from 110 to 360 m is unlikely to have a direct relationship with the geothermal water in the same area. As concentration of all reservoirs and rivers(both contaminated and uncontaminated) in the Guanzhong Basin is 10 μg/L. This shows that pollution in the surface water is not the source of the high-As in the southern Guanzhong Basin. The partition boundaries of the high- and low-As groundwater area corresponds to the partition boundaries of the tectonic units in the Guanzhong Basin. This probably indicates that the high-As groundwater areas can be correlated to their geological underpinning and structural framework. In southern Guanzhong Basin, the main sources of drinking water for villages and small towns today are wells between 110–360 m deep. All of their As contents exceed the limit of the Chinese National Standard and the International Standard(10 μg/L) and so local residents should use other sources of clean water that are 50 m deep, instead of deep groundwater(110 to 360 m) for their drinking water supply.     

红外光谱和拉曼光谱在热处理海蓝宝石鉴定中的应用

在适当的热处理条件下,黄绿色绿柱石能够转变为理想颜色的海蓝宝石。天然海蓝宝石与热处理海蓝宝石的价格差异较大,因此探索热处理海蓝宝石的诊断性鉴定特征就显得十分必要。对不同温度下热处理海蓝宝石进行傅里叶变换红外光谱和激光拉曼光谱的测试分析,结果发现,当热处理温度超过400℃后,随着加热温度的升高,在红外光谱中由[Fe2（OH）4]2＋伸缩振动gI起的3233cm叫处吸收谱峰明显减弱,直至消失。5268cm叫附近由水伸缩和弯曲振动}I起合频区的吸收带由尖峰变得宽缓;8700,6818cm叫两处水吸收峰的相对强度也随着加热温度升高而减弱。热处理海蓝宝石Si-0-Si伸缩振动产生的在682,3604cm叫处的拉曼光谱谱峰强度随着加热温度升高逐渐减弱,1070cm“处的拉曼峰强度明显降低。经700℃加热后,拉曼光谱基线明显向上方漂移。这些光谱特征变化对热处理海蓝宝石的鉴定有重要意义。     

2001—2020年中国地表温度时空分异及归因分析

地表温度（LST）变化对陆面过程的能量收支平衡与生态系统稳定有着至关重要的影响。本文基于MOD11C3数据,使用回归分析、GIS空间分析、相关性分析及质心模型等方法,分析了中国2001—2020年LST变化及其时空分异格局;运用地理探测器识别中国38个生态地理分区下LST变化的主导因子,进而探寻其形成原因。结果表明：① 中国2001—2020年LST气候平均值为9.6 ℃,整体呈东南及西北干旱区高、东北及青藏高原低,平原高、山区低的基本格局;LST与海拔呈显著负相关,相关系数达-0.66;第一阶梯负相关性最为显著,相关系数达 -0.76,LST递减率为0.57 ℃/100 m;② 中国2001—2020年LST倾向率为0.21 ℃/10 a,升温区占国土面积的78%,整体呈现“多核式升温,轴线式降温”的空间特征;③ 中国LST及变化具有显著的季节性特征,冬、夏两季均温空间分布较其他季节的差异较大且波动更为明显;季节性升/降温区的质心轨迹呈环状,且运动呈现出对应的季节性反向轨迹,降温区质心移动幅度更大,说明降温区的区域差异性和季节变异性较大;④ 中国LST变化由自然影响与人类活动共同驱动,其中自然因素贡献更大,日照时数和海拔是关键因子;两大主导类型在空间分布上与“胡焕庸线”高度吻合,其以东区域多以人类活动强度为主导并与地形因子共同作用,而以西区域则多以自然因素为主,通过与气候、地形、植被等因子的相互耦合从而增强/削弱LST变化幅度。本文可为应对气候变化、解析地表环境模式、保护生态环境等方面提供科学参考。     

地表城市热岛效应的概念内涵与定量刻画

明晰城市热岛（UHI）效应相关概念内涵、厘清其定量刻画方法是有效开展UHI效应研究的重要基础。全球城市化进程使UHI效应越发普遍,相关研究数量迅速增长并出现了UHI效应的多样认知,尤其对具有空间异质性表征优势的地表城市热岛（SUHI）效应开发了多样的定量刻画方法,但目前尚缺乏对其定量刻画方法的系统梳理。因此,本文对城市热岛、城市热岛效应、地表温度和城市热环境等易混淆概念进行了辨析,总结了各类UHI典型空间位置和尺度范围。在SUHI效应定量刻画中,将SUHI范围识别方法归结为城乡温度阈值、温度等级阈值、高斯拟合参数、温度衰减突变四大类,指出当前SUHI范围识别研究侧重于对SUHI影响规模的认知。研究同时对各类范围识别方法所对应的SUHI强度表征指标进行了梳理,认为理解指标本质内涵是掌握指标间潜在差异的前提。未来研究应整合多维度数据以突破单一SUHI监测途径,发展大尺度SUHI定量刻画方法以拓展定量研究的广度,认知连通化SUHI空间形态以挖掘范围识别研究的深度。     

核心素养视角下新旧版《普通高中地理课程标准》比较研究

地理课程标准是地理课程改革的核心引擎。通过比较分析《普通高中地理课程标准(2017年版2020年修订)》与《普通高中地理课程标准(实验)》文本中地理学科核心素养相关“关键词”的特征,揭示它们在词频和分布方面的异同。研究表明:地理学科核心素养是三维目标的整合与创新,新课标构筑起正确价值观和地理思维的双重价值取向,更加突出以地理核心知识聚合课程内容和以地理实践力引领课堂教学。在新课标指引下,教师应以地理核心知识统整地理课程,采用地理信息技术发展学生地理思维,以地理实践活动革新地理教学手段和内容。     

郑州市城市住宅用地扩展格局与利用强度时空差异研究

城镇化的快速发展带来城市各类土地用地规模、空间格局与利用强度的改变。论文基于互联网爬虫技术获取郑州市城市住宅小区时空数据,以住宅小区面积与容积率为指标,通过标准差椭圆、核密度分析以及局部空间自相关等方法,分析郑州市城市住宅用地扩展的时空特征与集聚变化情况。结果表明：① 随着主导因素的转变,1985—2019年郑州市住宅用地面积增加趋势明显,但2017年之后呈现下降趋势;住宅用地容积率由缓慢增长趋势逐渐转变为快速增长趋势。② 受常住人口总量迁移规律影响,在研究期内郑州市住宅用地重心由西南向东北移动,但仍主要分布在市内五区交界处;受经济重心的斜“N”变化趋势影响,其东西向迁移速度大于南北向迁移速度。③ 随着住宅用地数量的快速增加,城市住宅用地空间溢出效应更加显著,由分散向集聚演变,空间分异程度由局部突出转变为区域平衡为主。④ 街道尺度下住宅用地容积率出现明显的空间自相关性,经济发展区、城市规划商业中心区成为容积率高—高集聚区,而生态涵养区成为容积率低—低集聚区。     

粤港澳大湾区水路客运网络特征

以粤港澳大湾区水路客运班线为数据来源,运用复杂网络分析方法,分析水路客运网络的基本特征,评估其小世界特性与无标度特征,分析各节点的重要性,测试其鲁棒性与脆弱性,结果发现：1）大湾区水路客运网络基本健全,节点之间能够自由流动,但网络的层级单一,可达性较低的节点占据多数;2）大湾区水路客运网络具有部分小世界网络特性和无标度特性,节点分布呈现马太效应;3）深圳蛇口港在复杂网络中的综合重要性最为突出,比较重要的节点还有香港中港码头、香港国际机场、珠海九州港、澳门外港;4）大湾区南部的水路客运网络相比北部发达,东部比西部发达,空间发展不均衡;5）大湾区水路客运网络具有鲁棒性,生存能力较强,但网络发育不够完善,稳定性较差,难以经受蓄意攻击。整体上,大湾区水路客运网络还有较大的优化提升空间,应加大核心节点保障能力,增强边缘节点的连通性,提升大湾区北部的水路客运能力。     

Mapping Wetland Areas Using Landsat-Derived NDVI and LSWI: A Case Study of West Songnen Plain,Northeast China

Increasing interest in wetlands for environmental management requires an understanding of the location, spatial extent, and configuration of the resource. The National Wetlands Inventory is the most commonly used data source for this information. However, its accuracy is limited in some contexts, such as agricultural and forested wetlands. An large number of studies have mapped wetlands worldwide from the perspective of land use and land cover change. However, information on the actual wetland planting areas annually is limited, which greatly impacts ongoing research. In this case study of the West Songnen Plain, we developed a simple algorithm for the quick mapping of wetlands by utilizing their unique physical features, such as annual display of phenological land-cover change of exposed soils, shallow flooding water, and plants from multi-temporal Landsat images. Temporal variations of the Normalized Difference Vegetation Index (NDVI) and Land Surface Water Index (LSWI) derived from Landsat images in 2010 for wetlands at different growth stages were analyzed. Results show that during the ante-tillering phase, the NDVI value (above zero) is lower than the LSWI value of paddies because of flooding of shallow water; during the reproductive and ripening phases, the NDVI value is higher than the LSWI value (above zero); and during the post-harvest wetland planting phase, the NDVI value is still higher than the LSWI value, but the LSWI value is negative. Wetland areas can be detected using one or two images in the optimum time window. The algorithm based on the difference of NDVI and LSWI values derived from Landsat images was used to extract the actual wetland planting area. Validated alongside statistical data, the algorithm showed high accuracy. Therefore, this algorithm highlights the unique features of wetlands and can help in mapping the actual wetland area annually on a regional scale. Results further indicate that the new method has a classification accuracy of 92 %. In comparison, two traditional methods based on Landsat-7/ETM registered accuracy rates of only 83 % and 87 % respectively.     

Impact of GLONASS pseudorange inter-channel biases on satellite clock corrections

GLONASS carrier phase and pseudorange observations suffer from inter-channel biases (ICBs) because of frequency division multiple access (FDMA). Therefore, we analyze the effect of GLONASS pseudorange inter-channel biases on the GLONASS clock corrections. Different Analysis Centers (AC) eliminate the impact of GLONASS pseudorange ICBs in different ways. This leads to significant differences in the satellite and AC-specific offsets in the GLONASS clock corrections. Satellite and AC-specific offset differences are strongly correlated with frequency. Furthermore, the GLONASS pseudorange ICBs also leads to day-boundary jumps in the GLONASS clock corrections for the same analysis center between adjacent days. This in turn will influence the accuracy of the combined GPS/GLONASS precise point positioning (PPP) at the day-boundary. To solve these problems, a GNSS clock correction combination method based on the Kalman filter is proposed. During the combination, the AC-specific offsets and the satellite and AC-specific offsets can be estimated. The test results show the feasibility and effectiveness of the proposed clock combination method. The combined clock corrections can effectively weaken the influence of clock day-boundary jumps on combined GPS/GLONASS kinematic PPP. Furthermore, these combined clock corrections can improve the accuracy of the combined GPS/GLONASS static PPP single-day solutions when compared to the accuracy of each analysis center alone.