区域发展规划的人地系统动力学基础

区域发展规划研究的出发点是人地关系地域系统和可持续发展战略 ,人地关系的协调共生是区域发展规划的灵魂。文章依据耗散结构理论的基本观点提出了人地系统协调共生的4种状态 ,重点分析了人地系统组成要素及其相互关系在时空层次上的动态关联方式及动力结构 ,旨在为编制区域发展规划奠定坚实的动力学基础。     

利用磁异常模量进行磁性体边界检测

地下磁性体具有较强的剩磁或退磁会给磁异常的解释带来困难。由于磁异常模量对磁化方向不敏感,将磁异常转换为磁异常模量并用来分析和处理,可很大程度上提高磁异常解释的准确性和可靠性。本文介绍了五种磁异常模量,并且利用改进的Tilt梯度方法对各磁异常模量数据做边界检测,确定地下磁性体的水平位置。理论模型试验表明,在存在强剩磁的情况下,不同模量数据对磁性体的反应程度也不一样,运用改进的Tilt梯度方法对磁异常模量进行处理可不同程度地加强对异常体的识别,其中模量E最为准确,可较清晰地识别磁性体边界。笔者还将该方法运用到坦桑尼亚基戈马地区的航磁异常处理,并推测了该地区的构造带及磁性体边界,为深入了解基戈马成矿区带的地质和成矿背景及可能矿床分布提供了重要信息。     

地表的分形测量及其大地构造学意义

以湖北红安地区为例,采用投影覆盖法(projectivecoveringmethod)对地表进行了二维分形测量,结果表明,地表面积具有双分形(bifractal)关系,即具有小尺度的结构分形(texturalfractal)和大尺度的构造分形(structuralfractal),分叉点(breakpoint)的尺度为3610m,分维值都在2～3之间且结构分维值大于其构造分维值。可见,地表形态具有分形性质,分维值可以指示地表形态的复杂程度。构造分维值可作为构造活动强度的一个指标,可为大地构造单元的划分提供定量依据。复杂地表形态主要是由构造活动(内营力作用)和各种复杂表生地质作用(外营力作用)引起的,前者主要控制大尺度的地形起伏,后者则塑造小尺度的地表形态。地表分维值可以指示地表的发育成熟度,该地区小尺度的结构分维值大于大尺度的构造分维值表明其处于地表形态的发育晚期。此外,地表的分形尺度可以来用确定构造活动尺度,从而指导构造地质与找矿勘探研究。     

江西凤凰岽含锡黄英岩脉特征及成因

江西会昌县岩背火山盆地密坑山含黄玉花岗岩体的北侧外接触带，产有数条含锡黄英岩脉。据野外产状、岩石结构构造等表明岩脉属岩浆成因。稀土元素研究表明，凤凰岽黄英岩ＲＥＥ含量极低，∑ＲＥＥ及配分曲线与脉侧黄玉石英化蚀变岩有着明显的区别。富氟花岗岩浆结晶晚期衍生的富Ｓｉ，Ａｌ，Ｆ含少量Ｋ，Ｎａ的残余熔浆沿断裂上侵因压力降低产生二次沸腾，使Ｋ，Ｎａ分离进入含水相，这是富Ｓｉ，Ａｌ，Ｆ；极贫Ｋ，Ｎａ的黄英岩形成的决定因素。     

新疆且日克其菱铁矿床稀土元素地球化学特征

新疆且日克其菱铁矿床赋存于下志留统温泉沟群中低级变质岩系中,由三个矿段组成,总体呈层状、似层状、透镜状.矿石稀土含量较高(∑REE=740.97 ×10-6～820.21×10-6),轻稀土富集(LREE/HREE=13.17～14.74)的特征暗示了矿床形成于弱-中碱性的含矿溶液;明显的Ce正异常(δCe=3.25～...     

水管倾斜仪标定中若干问题的讨论

讨论了DSQ型水管倾斜仪标定中的重要环节和方法,以及有关参数的原理和程序计算,为正确进行水管仪标定提供了一些参考经验和计算工具。     

Assessing the effectiveness of imperviousness on stormwater runoff in micro urban catchments by model simulation

Imperviousness, considered as a critical indicator of the hydrologic impacts of urbanization, has gained increasing attention both in the research field and in practice. However, the effectiveness of imperviousness on rainfall–runoff dynamics has not been fully determined in a fine spatiotemporal scale. In this study, 69 drainage subareas <1 ha of a typical residential catchment in Beijing were selected to evaluate the hydrologic impacts of imperviousness, under a typical storm event with a 3‐year return period. Two metrics, total impervious area (TIA) and effective impervious area (EIA), were identified to represent the impervious characteristics of the selected subareas. Three runoff variables, total runoff depth (TR), peak runoff depth (PR), and lag time (LT), were simulated by using a validated hydrologic model. Regression analyses were developed to explore the quantitative associations between imperviousness and runoff variables. Then, three scenarios were established to test the applicability of the results in considering the different infiltration conditions. Our results showed that runoff variables are significantly related to imperviousness. However, the hydrologic performances of TIA and EIA were scale dependent. Specifically, with finer spatial scale and the condition heavy rainfall, TIA rather than EIA was found to contribute more to TR and PR. EIA tended to have a greater impact on LT and showed a negative relationship. Moreover, the relative significance of TIA and EIA was maintained under the different infiltration conditions. These findings may provide potential implications for landscape and drainage design in urban areas, which help to mitigate the runoff risk. Copyright © 2015 John Wiley & Sons, Ltd.     

云县台SQ水平摆与VP垂直摆观测资料对比分析

从数据完整率、年变幅度、形态特征、相关性等角度出发对SQ水平摆与VP垂直摆观测数据进行对比分析。结果表明:2套仪器均有较强的稳定性,数据有较高的完整率。通过对比分析,确定云县台SQ水平摆和VP垂直摆产出的数据正确。从短期资料看,2套仪器均能清晰记录日波、半日波固体潮汐,固体潮观测曲线的相位与理论值相一致。从长期资料看,云县台SQ水平摆产出的数据在长期趋势上与真实地倾斜存在较大差异,VP垂直摆更能真实反映监测区域地倾斜变化特征,利用VP垂直摆替代SQ水平摆进行地倾斜观测可行。     

Application of remote sensing for investigating mining geological hazards

Abstract

To investigate geological mining hazards using digital techniques such as high-resolution remote sensing, a semi-automatically geological mining hazards extraction method is proposed based on the case of the Shijiaying coal mine, located in Fangshan District, Beijing, China. In the method, the vegetation is first removed using the normalized difference vegetation index (NDVI) on the GeoEye-1 data. Then, geological mining hazards interpretation features are determined after color enhancement using principal component analysis (PCA) transformation. Bitmaps mainly covered by geological mining hazards are isolated by masking operation in the environment for visualizing images software. Next, each bitmap is classified into a two-valued imagery using support vector machine algorithm. In the two-valued imagery, 1 denotes the geological mining hazards, while 0 denotes none. Afterwards, the two-valued imagery is converted into a vector graph by corresponding functions in the ArcGIS software and no geological mining hazards regions in the vector graph are deleted manually. Finally, the correlation between factors (such as mining activity, lithology, geological structure, and slope) and geological mining hazards is analyzed using a logistic regression and a hazardous-area forecasting model is built. The results of field verification show that the accuracy of the geological mining hazards extraction method is 98.1% and the results of the hazardous-area forecasting indicate that the logistic regression is an effective model in assessing geological hazard risks and that mining activity is the main contributing factor to the hazards, while geological structure, slope, lithology, roughness of the surface, and aspect are the secondary.