金矿立体地球化学探测模型与深部钻探验证   总被引：1，自引：0，他引：1  

王学求  张必敏  于学峰  杨德平  夏勇  谭亲平  刘耀文  张苏坤  田密  刘汉粮  李瑞红  韩志轩  熊玉新  吴慧  张宝云 《地球学报》2020,41(6):869-885

深部资源地球化学探测科学问题的的焦点是元素大深度垂向迁移机理和立体地球化学探测模型的建立。本文以胶东蚀变岩型金矿和贵州水银洞卡林型金矿钻孔岩芯和地表联合取样获得的数据, 建立千米深度立体地球化学探测模型。蚀变岩型金矿立体地球化学模型显示, Au、S和Hg与金矿密切相关, 分布模式既有相似性又有差异性, Au的立体几何分布模式兼具矿化剂元素S和远程指示元素Hg的双重特征, 金异常和矿化剂元素硫与矿体倾斜方向一致, 反映了成矿过程中流体沿控矿构造的轴向运移; 金异常与类气体元素汞在垂向上一致, 而且出现从矿体到地表的连续贯通式异常, 反映了流体沿微裂隙和纳米孔的垂向迁移。卡林型金矿立体地球化学模型显示, Au、As、Sb、Hg、Tl和S在不整合面都显示高含量特征, 与深部层状主矿体分布一致; 在矿体上覆地层中都存在弱异常, 显示了明显的成矿流体沿隐伏微小断裂垂向迁移特点; 所不同的是Sb和Tl元素在不整合面附近显示了最高的元素含量, 而Sb和Hg在近地表均显示了明显高的异常特征。立体几何模型清晰地显示了矿体的展布特征和范围, 而且金及其伴生元素垂向迁移在地表形成清晰异常, 为利用金及伴生元素和矿化剂元素进行深部矿体三维预测提供了重要依据, 对指导深部金矿勘查发挥了重要作用。针对胶东蚀变岩型金矿地表完全被土壤覆盖区的穿透性地球化学微细粒级土壤采样, 金属活动态提取分析圈定的异常, 经深部钻探验证, 胶东焦家成矿带五一村3200 m钻探, 在2428.00~3234.16 m深度发现6层矿化体, 其中高品位矿体位于2854 m深度; 上宫金矿地表基岩出露, 采集断层泥或裂隙岩石样品, 可以清晰探测深部异常, 经2000 m钻探, 在1312 m处发现高品位金铅锌银矿体; 贵州水银洞采集地表细粒级土壤, 能够直接有效地揭示深部金矿体, 经500~1500 m钻探验证, 在300~1500 m深度新增金资源量203 t。  相似文献   

新疆和田地区耕地面源污染生态风险评价          下载免费PDF全文

田丰收  刘新平  原伟鹏 《干旱区地理》2019,42(2):295-304

随着化肥、农膜等在农业生产中的过量投入，耕地面源污染的程度随之加重。文章选取塔里木河流域上游和田地区为研究区域，依据P-S-R框架理论，构建和田地区耕地面源污染生态风险评价指标体系，加入土壤理化数据，使用生态风险评价模型对和田地区1980 年及2016 年耕地面源污染状况进行生态风险评价，运用耕地生态风险模型、生态风险转移矩阵、Arcgis分析和田地区耕地面源污染时空分异状况。研究结论如下：和田地区1980 年耕地生态风险等级均为II级或III级，呈“中间高，两侧低”分布；2016 年耕地生态风险等级上升至IV级或V级，呈“倒W型”分布，各县耕地面源污染程度较1980 年均有较大幅度的上升，其中墨玉县和于田县在2016 年耕地生态风险等级达到最高的V级，而民丰县因自身生态环境的强脆弱性，同样需要提高关注。根据面源污染“从源头治理”的原则，应切实推进和田地区耕地生态环境保护与治理，提高政府重视程度，增强技术指导，开展试点工作，改善和田地区耕地面源污染现状。  相似文献   

新疆绿洲城镇组群内部经济联系及空间差异测度研究          下载免费PDF全文

李雪梅 《干旱区地理》2019,42(1):180-186

绿洲城镇组群是新疆特殊区域形成的规模相对较小的单一中心空间自组织模式。运用城市中心性指数、城市经济联系模型和Theil系数对新疆八大绿洲城镇组群内部城镇中心性、经济联系及空间差异测度。结果显示：绿洲城镇组群内部的中心城市的中心性职能较强，周边城镇的中心性职能相对较弱，形成了单中心的空间自组织模式；绿洲城镇组群内部经济联系量和经济联系隶属度大小的排序一致，离中心城市的距离越近、经济发展水平越高，经济联系隶属度越高；近10 a年来绿洲城镇组群的整体空间差异一直在扩大，且呈现出继续扩大趋势。在此基础上，提出了建立区域合作协调机制、明确城镇组群发展方向、增强中心城市的辐射带动作用、实现产业合理分工以及构建制度保障体系促进绿洲城镇组群的协同发展。  相似文献   

强震前地磁总场F₀₂测值的空间相关特征研究     

李鸿宇  袁桂平 《地震》2018,38(1):157-166

收集全国102个地磁台站2008年至2015年数字化地磁资料, 运用地磁空间相关法计算每日凌晨02时各台站地磁总场F之间的空间相关系数。 在使用相同的异常判别标准的情况下, 研究时段的17个中强地震中发现在2009年9月19日陕西宁强5.1级地震, 2011年11月1日四川青川5.4级地震, 2013年1月23日辽宁灯塔5.1级地震, 2013年7月22日甘肃岷县6.6级地震和2013年10月31日吉林前郭5.5级地震前均具有较为明显的空间相关低值异常现象。 通过总结5个震例的异常特征, 笔者发现其异常形态极其相似, 且平均的异常持续时间为20天, 而地震就发生在异常开始后3个月内; 同时, 地震发生在异常集中区中心附近, 且这个异常区域大小在500 km左右。 这一研究结果对于进一步分析地震前地磁空间相关异常特征积累了丰富的资料。  相似文献   

基于Android终端的GIS林业数据采集系统设计     

赵建鹏  朱行辉  李国洪 《测绘与空间地理信息》2020,(2):30-32,37

在野外利用智能终端设备采集数据可以保证获取资料的便利性与准确性。针对林业数据的数量庞大、科目多样、分布区域广泛等特点,本系统基于现有的Android平台结合百度地图API及定位SDK组件调用进行二次开发,实现地图接入、位置定位、路线搜索等服务,通过相关命令调用终端拍照等应用在数据库中实现数据采集、属性记录及导出功能,系统主要包括登录模块、采集模块、数据管理模块等。本文设计的Android终端GIS采集数据系统可以满足外业人员对林业数据的核查、修改与采集需求,为野外核查工作提供了新的模式和方法。  相似文献   

Quick Phase Identification for Dense Seismic Array with Aid from Long Term Phase Records of Co-located Sparse Permanent Stations     

CHEN Yini  LI Jun  WANG Zhenjie  ZHAO Mengqi  YU Tiehong  LI Danning  YU Junyi  WANG Weitao 《中国地震研究》2020,34(3):328-342

The phase identification and travel time picking are critical for seismic tomography, yet it will be challenging when the numbers of stations and earthquakes are huge. We here present a method to quickly obtain P and S travel times of pre-determined earthquakes from mobile dense array with the aid from long term phase records from co-located permanent stations. The records for 1 768 M ≥ 2.0 events from 2011 to 2013 recorded by 350 ChinArray stations deployed in Yunnan Province are processed with an improved AR-AIC method utilizing cumulative envelope and rectilinearity. The reference arrivals are predicted based on phase records from 88 permanent stations with similar spatial coverage, which are further refined with AR-AIC. Totally, 718 573 P picks and 512 035 S picks are obtained from mobile stations, which are 28 and 22 times of those from permanent stations, respectively. By comparing the automatic picks with manual picks from 88 permanent stations, for M ≥ 3.0 events, 81.5% of the P-pick errors are smaller than 0.5 second and 70.5% of S-pick errors are smaller than 1 second. For events with a lower magnitude, 76.5% P-pick errors fall into 0.5 second and 69.5% S-pick errors are smaller than 1 second. Moreover, the Pn and Sn phases are easily discriminated from directly P/S, indicating the necessity of combining traditional auto picking and integrating machine learning method.  相似文献   

Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Spatial predictions of forest variables are required for supporting modern national and sub-national forest planning strategies, especially in the framework of a climate change scenario. Nowadays methods for constructing wall-to-wall maps and calculating small-area estimates of forest parameters are becoming essential components of most advanced National Forest Inventory (NFI) programs. Such methods are based on the assumption of a relationship between the forest variables and predictor variables that are available for the entire forest area. Many commonly used predictors are based on data obtained from active or passive remote sensing technologies. Italy has almost 40% of its land area covered by forests. Because of the great diversity of Italian forests with respect to composition, structure and management and underlying climatic, morphological and soil conditions, a relevant question is whether methods successfully used in less complex temperate and boreal forests may be applied successfully at country level in Italy.For a study area of more than 48,657 km² in central Italy of which 43% is covered by forest, the study presents the results of a test regarding wall-to-wall, spatially explicit estimation of forest growing stock volume (GSV) based on field measurement of 1350 plots during the last Italian NFI. For the same area, we used potential predictor variables that are available across the whole of Italy: cloud-free mosaics of multispectral optical satellite imagery (Landsat 5 TM), microwave sensor data (JAXA PALSAR), a canopy height model (CHM) from satellite LiDAR, and auxiliary variables from climate, temperature and precipitation maps, soil maps, and a digital terrain model.Two non-parametric (random forests and k-NN) and two parametric (multiple linear regression and geographically weighted regression) prediction methods were tested to produce wall-to-wall map of growing stock volume at 23-m resolution. Pixel level predictions were used to produce small-area, province-level model-assisted estimates. The performances of all the methods were compared in terms of percent root mean-square error using a leave-one-out procedure and an independent dataset was used for validation. Results were comparable to those available for other ecological regions using similar predictors, but random forests produced the most accurate results with a pixel level R² = 0.69 and RMSE_% = 37.2% against the independent validation dataset. Model-assisted estimates were more precise than the original design-based estimates provided by the NFI.  相似文献   

国产高分辨率遥感影像农村公路核查方法及其应用     

蔡红玥  袁胜古  阳柯  王芳  盛光晓 《测绘通报》2020,(3):91-95

传统的农村公路核查需要人工实地抽查或通过GNSS设备进行信息采集验核，存在成本高、效率低等问题。遥感影像具有成像范围广、时效性高、成本低、能客观反映现实情况等优点。相比于传统方法，将遥感影像引入农村公路核查，能客观、准确、高效地对农村公路相关信息进行核查。本文基于国产高分辨率遥感影像，结合农村公路遥感核查业务，采用遥感影像道路提取算法，设计并实现了一种农村公路核查方法。将本方法应用于某中部省份农村公路遥感核查业务，实际应用表明该方法能有效提高现有农村公路遥感核查的工作效率。  相似文献   

镇江地震台网理论监测能力评估   总被引：1，自引：1，他引：0  

董晨阳  董建平  陈江鸿  余其鹏 《地震地磁观测与研究》2018,39(3):107-114

基于近震震级公式，对镇江地震台网理论监测能力进行评估，绘制地震监测能力图，以确定监测区不同地点发生地震时能被台网有效分析和定位的地震最小震级。镇江市句容县在该台网理论监测震级最小，为ML1.2—1.3；在镇江及相邻城市，发生M_L 1.8分析认为，以上地震均能被有效监测。  相似文献   

Environmental determinants of species turnover of aquatic Heteroptera in freshwater ecosystems of the Western Ghats,India     

《Limnologica》2020

Partitioning beta diversity into its two components of spatial turnover and nestedness is a more robust method for checking spatial variability in biological communities than calculating the total beta diversity alone. The relative contribution of spatial turnover and nestedness has been used to test the effects of climatic, environmental, spatial and temporal variables on community composition. In this study, we tested the effects of environmental factors and microhabitat features on total beta diversity and its spatial turnover and nestedness components using a comprehensive dataset of aquatic Heteroptera collected from four types of permanent freshwater habitats (i.e. streams, ponds, rock tanks and reservoirs) in the Western Ghats of India. We observed that communities in all four types of habitats were predominantly shaped by dissimilarity caused due to spatial turnover (>85 %). Each type of habitat showed the presence of one or more species uniquely associated with it, which might contribute to the turnover between communities. The abiotic environment (climatic factors, topological factors, soil characteristics and microhabitat features) as well as assemblage structure differed significantly between habitat types. Communities in each type of habitat were affected by different environmental factors, such as precipitation and temperature patterns for streams, altitude and rocky substrate for rock tanks, and soil characteristics and the presence of aquatic macrophytes for ponds and reservoirs. Assemblages observed in the four types of permanent habitats are thus compositionally distinct due to species replacements between local communities, which in turn are strongly influenced by environmental variables. Similar to previous studies, our results show that spatial turnover largely measures the same phenomenon as total beta diversity on a regional scale.  相似文献