基于遥感的木里煤矿区矿山地质环境监测及评价   总被引：1，自引：0，他引：1  

何芳  刘瑞平  徐友宁  乔冈  柯海玲 《地质通报》2018,37(12):2251-2259

为揭示木里煤矿开采对生态环境的破坏程度,通过2010年和2013年2期高分辨遥感影像监测,野外调查和水土样品采集,开展了矿山地质环境问题和承载力的调查,查明了问题并对其破坏程度和承载能力进行了评价。结果表明,矿区地形地貌景观和土地资源占压与破坏严重,河水受到Cu、Pb、Cr和Zn的污染,土壤受到Cd、As污染,高山草甸和沼泽地破坏及退化现象严重,冻土含水层结构遭到破坏,地质环境承载力适中。评价结果可为政府和矿山企业开展矿山地质环境恢复治理提供基础资料。  相似文献   

天津地热资源评价与综合研究   总被引：1，自引：1，他引：0       下载免费PDF全文

茹洪久  刘东林  胡慧川  沈健 《中国地质调查》2018,5(2):25-31

以4 000 m以浅的主要热储层为研究对象,通过总结天津地热资源特征及勘查现状,利用热储法结合水均衡法和数值耦合优化管理模型计算天津市主要热储层30 a热流体可采资源量及可采热量。结果表明: 到2045年底,热储法结合水均衡法计算的热流体可采资源量和可采热量分别为27.012×10¹⁸ m³和47.0×10¹⁶ J; 数值耦合优化管理模型计算的热流体可采资源量和可采热量分别为26.6×10¹⁸ m³和49.74×10¹⁶ J; 2种方法计算结果基本一致。该计算结果可为天津市地热资源合理开发及科学管理提供依据。  相似文献   

Dual-tree complex wavelet transform-based image enhancement for accurate long-term change assessment in coal mining areas     

Shivesh Kishore Karan 《国际地球制图》2018,33(10):1084-1094

The main objective of this study was to improve the long-term land use change detection by improving classification accuracy of previous generation satellite image using a recent super-resolution technique. The study also analysed the change in land cover over a period of 41 years in a coal mining area. A dual-tree complex wavelet transform-based image super-resolution technique was used to enhance Landsat images of 1975 and 2016. Separating pixels with similar spectral response is an enigmatical task, especially when those pixel represent different ground features. Therefore, an advanced neural net supervised classifier was used to minimize classification errors. Accuracy of the classified images (both super-resolved and original) were measured using confusion matrices and kappa coefficients. A significant improvement of more than 10% was observed in the overall classification accuracy for the image of 1975, highlighting that the classification accuracy of earlier generation satellite data can be improved substantially.  相似文献   

MAPGIS二次开发软件Section和Excel软件在编绘矿业权设置方案图件的交互应用与探讨     

张然和 《测绘与空间地理信息》2015,(3):163-165

在矿业权设置方案中,矿业权现状图及矿业权设置平面图分别是一定区域内矿业权现状分布和矿业权设置方案的直观体现。本文详细介绍MAPGIS二次开发软件Section和Microsoft Office Excel软件在编辑制作该类图件的交互应用和体会。  相似文献   

基于BP神经网络的矿区地表沉降预测研究     

成枢  隋冰冰  沈毅  王涛 《测绘与空间地理信息》2015,(3):18-20

BP神经网络具有非常强的非线性映射能力,广泛应用于分类识别、逼近、回归、压缩等领域。本文基于BP神经网络的理论基础,利用某矿区地表沉降观测点1~10期的实测沉降数据资料,结合MATLAB建立针对矿区地表沉降的预测模型,并预测其11~15期的沉降情况。通过将预测值与实测值进行对比,分析预测模型精度,结果表明BP神经网络用于矿区地表的沉降研究是可行的。  相似文献   

基于GIS的金属矿山采矿方法优选系统研究     

刘亚静  冉维维  梁瑞哲 《测绘与空间地理信息》2015,(4):11-13

传统的采矿方法选择大多由采矿专家基于二维图件进行,可视化程度不高且具有一定的主观随意性。本文研究了基于GIS技术,运用3DMine,3DMax,Super Map软件,以及二维地形地质数据构建矿山地质体三维模型的方法和过程,包括地表及矿体的三维模型,实现二三维一体化的地下矿体环境;并在上述搭建的三维可视化环境下,采用模糊数学法和层次分析法等数学理论进行采矿方法选择,使采矿方法选择的过程更直观,结果更准确。  相似文献   

一种综合位置签到数据和景点分级信息的旅游景点评价方法     

李响  张晶  江南  赵婷  杨飞 《测绘科学技术学报》2015,(4):405-411

传统的旅游景点评价方法是从专家视角出发,依据客观调查进行打分和分级。随着大数据时代的来临,互联网上产生了大量位置签到(Check-in)数据,而对某一景点签到人数的多少,从某种程度上反映了大众对该景点的喜爱程度。此处试图兼顾"专家"和"大众"两种视角,建立一种新的指标体系,根据该体系,以郑州及其周边旅游景点为实验对象,将其划分为"重点推荐"、"传统景点"、"传统普通"、"值得探索"和"谨慎选择"五大类,同时从用户的性别、地区和签到时间等详细信息中挖掘出哪些是男性或者女性偏爱去的旅游景点,哪些是本地人或者外地人偏爱去的景点,旅游景点是否存在淡旺季以及它们的淡旺季分布是否相似等有趣问题。最后通过专家访谈、调研电话以及实地考察等方法,对实验结果中的52个景点逐一验证,结果表明对旅游景点的评价基本符合客观实际情况,进一步验证了该方法的实用性和有效性。  相似文献   

刚果布谷马西矿区钾盐矿北部矿段盐类沉积缺失浅析          下载免费PDF全文

岳伟佳  栾元滇  周兴涛 《山东国土资源》2020,36(10)

根据盐类矿层分布特征,布谷马西钾盐矿床以奎卢河为界可分为南部、北部2个矿段,通过二维地震勘探、钻探、岩矿测试等技术手段对2个矿段进行了较详细勘查,根据对2个矿段的沉积特征、岩性及二维地震特征对比分析,2个矿段虽然同处于刚果盆地内,但沉积特征存在一定差异,南部矿段矿层沉积较稳定,北部矿段受断裂构造影响,盐类沉积上部多发育裂隙、溶蚀、塌陷等,导致北部矿段Ⅲ,Ⅳ岩性段出现沉积缺失。  相似文献   

Lacustrine Arcellinida (testate lobose amoebae) as bioindicators of arsenic concentration within the Yellowknife City Gold Project,Northwest Territories,Canada     

《Limnologica》2021

Arcellinida (testate lobose amoebae) were examined in near-surface sediment samples from 30 lakes located within the Gold Terra Resource Corporation (GTRC) Yellowknife City Gold Project, Northwest Territories, Canada, to assess the applicability of using the group as a robust tool to assess Arsenic (As) contamination. Lake contamination by As is of concern in the Yellowknife area because it is derived from geogenic (bedrock) and anthropogenic sources (legacy pollution from former mining operations, particularly the Giant Mine [1948–2004]). Statistical multivariate analyses (cluster analysis, non-metric multidimensional scaling [NMDS], and redundancy analysis [RDA]) were performed on geochemical (inductively coupled plasma mass spectrometry [ICP-MS]) and organic (loss-on-ignition) data to identify geochemical and hydrogeological controls on the arcellinidan distribution in the lakes. Three distinct faunal assemblages were identified using Cluster analysis and NMDS: 1) Elevated Arsenic Assemblage (EAA; Approximately Unbiased (AU) p-value = 97 %; median As =272.4 mg/kg, range = 42–1353 mg/kg ; n = 9); 2) Centropyxid-Dominated Assemblage (CDA; AU p-value = 87 %; median As =169.7 mg/kg, range 60–233 mg/kg ; n = 9); and, 3) Difflugiid-Dominated Assemblage (DDA; AU p-value = 95 %; median As =61.3 mg/kg, range = 16–316 mg/kg ; n = 12). Six statistically significant controls on assemblage structure were identified using RDA. These were As, calcium, iron, strontium, water depth, and total organic carbon (Arcellinida variance explained = 36.2 %) — As is the most significant control (12.2 %; p-value < 0.002). Stress-tolerant centropyxids dominate in lakes characterized by elevated sedimentary As concentrations (64 % centropyxids in EAA; 40 % centropyxids in CDA), while stress-sensitive taxa thrived in samples associated with lower As concentrations (DDA). Our results corroborate the findings of previous Arcellinida studies in subarctic Canada and confirms the reliability of using Arcellinida as a reconnaissance tool for tracking As contamination in impacted lakes.  相似文献   

县级矿产资源综合监管平台的实现     

王文彬 《测绘与空间地理信息》2013,(8):92-94,97

通过空间数据库管理软件+ARCGIS开发组件+VS.NET2008开发工具结合,进行GIS二次开发,集成整合相关矿业管理数据,建立集信息采集与动态监测、地图定位查询与分析、信息比对核查、信息综合分析功能于一体的县级矿产资源综合监管平台,实现县域内矿产资源管理和监管、地质灾害防治的信息化、可视化、智能化,实现国土资源管理行为、开发利用和市场监管的常态化、制度化,以及国土资源管理绩效的科学评估,提高对突发性地质灾害的应急处置能力。  相似文献