Prediction of hydrothermal copper,gold, silver and lead-zinc in northwestern Yunnan using weight of evidence model     

Jacob Kporfor  Chen Jiagou 《地球空间信息科学学报》2013,16(3):230-234

This paper discusses the application of the model in predicting for hydrothermal Cu, Ag, Au and Pb?Zn occurrences in northwestern Yunnan. Geochemical, lineament and lithology data were the selected recognition criteria. The mentioned criteria varied against 75 known hydrothermal occurrences; the geochemical data had a weight of (W+=1.2097,W?=?0.7481) being the maximum among the three and the rest lineament and lithology have (W+=0.7424,W?=?0.4496), (W+=0.3787,W?=?0.6243) respectively. The application was successful since the predicted results covers about 70% of the known deposits and predicted unknown areas.  相似文献   

The tropical forest in south east Asia: Monitoring and scenario modeling using synthetic aperture radar data     

《Applied geography (Sevenoaks, England)》2013

Tropical forests play a major role in storing large carbon stocks and regulating energy, and water fluxes, but such forest cover is decreasing rapidly in spite of the policy attention on reducing deforestation. High-resolution spatiotemporal maps are unavailable for the forests in majority of the tropical regions in Asia because of the persistent cloud cover and haze cover. Recent advances in radar remote sensing have provided weather-independent data of earth surface, thus offering an opportunity to monitor tropical forest change processes with relatively high spatiotemporal resolutions. In this research, we aim to examine the tropical deforestation process and develop a spatial model to simulate future forest patterns under various scenarios. Riau Province from central Sumatra of Indonesia is selected as the study area; this province has received much attention worldwide because the highest CO₂ emission resulting from tropical deforestation has been recorded. Annual time series PALSAR data from 2007 to 2010 were analyzed for forest mapping and detecting land cover changes. A spatial model was calibrated using the Bayesian method. Modeling parameters were customized for the local subregions that allocate deforestation on the basis of their empirical relationships to physical and socioeconomic drivers. The model generated landscape spatial patterns mirrored the possible locations and extent of deforested areas by 2030 and provided time-series crucial information on forest landscape under various scenarios for future landscape management projects. The results suggested that the current deforestation process is in a critical stage where some subregions may face unprecedented stress on primary forest costing rivers and forest ecosystems by the end of 2020. The perspective views of Riau Province generated by the model highlighted the need for forest/environmental planning controls for the conservation of environmentally sensitive areas.  相似文献   

Using moment invariants to analyze cluster shapes and hypothesize potential causes     

J.F. Conley 《International journal of geographical information science》2013,27(4):657-680

Although there are many algorithms and statistical tests to detect clustering of geographical phenomena, such as disease cases, the follow-up task of analyzing the cluster to explain its existence and mitigate the cluster is generally left to the researcher. These cluster detection methods are useful only for part of the process of identifying, understanding, and mitigating disease clusters. This research develops and presents a computer program that uses the information about the shape of the cluster to evaluate the hypotheses about potential causes. To achieve this, the shapes of the clusters are represented by image moment invariant statistics developed in the field of computer vision, and these shape statistics are compared against a database of moment invariants of shapes representative of several geographical processes, such as diffusion along roads and wind diffusion. Experiments using simulated data of different types of disease transmission were carried out, and the ability of the program to accurately classify the different types of diffusion demonstrates the viability of this approach to automated cluster analysis.  相似文献   

金鸡岭产铀花岗岩体印支期侵位的岩浆动力学证据及其构造意义     

章邦桐  吴俊奇  凌洪飞  陈培荣 《铀矿地质》2012,(1):11-20,34

通过对南岭西段金鸡岭花岗岩体地质-岩石地球化学特征研究,判明该岩体的侵位深度(7.5km)、围岩温度(270℃)及岩浆初始温度(950℃),建立起金鸡岭花岗岩体的数学计算模型,分别计算得出:金鸡岭花岗岩熔体侵位后,其初始温度降低至结晶温度所需的时间(Δtcol)为3.91Ma;由于结晶潜热释放而使结晶过程延长的时间(ΔtL)为2.92Ma;由于金鸡岭花岗岩体放射性元素含量(U——16.5×10-6,Th——51.3×10-6,K2O——4.82%)是世界平均花岗岩放射性元素含量(U——5×10-6,Th——20×10-6,K2O——2.66%)的3倍左右,金鸡岭花岗岩熔体侵位后产生的放射性成因热使结晶过程延长的时间(ΔtA)为34.5Ma,远长于按世界花岗岩平均放射性元素含量计算的ΔtA*(2.82Ma)。金鸡岭花岗岩体的侵位-结晶时差(ΔtECTD)为41.3Ma,结合锆石U-Pb年龄值(156Ma),通过反演计算得出金鸡岭花岗岩体侵位年龄值(tE)为197.3Ma,从而为该岩体属于印支期侵位提供了重要的岩浆动力学证据。  相似文献   

南岭花山和姑婆山花岗岩基属印支期侵位:来自花岗岩熔体冷却-结晶和放射成因热计算的依据     

章邦桐  吴俊奇  凌洪飞  陈培荣 《地质学报》2012,86(7):1031-1046

通过对南岭西段花山和姑婆山花岗岩基地质-岩石地球化学特征研究,判明它们的侵位深度(5.5km)、围岩温度(196℃)及岩浆初始温度(950℃),建立起花山和姑婆山岩基的数学计算模型,计算得出:花山-姑婆山花岗岩熔体侵位后,其初始温度降低至结晶温度所需的时间(△tco1)分别为4.14 Ma(花山)和4.36Ma(姑婆山...  相似文献   

Porphyry copper potential mapping using the weights of evidence model in a GIS,northern Shahr e Babak,Iran   总被引：1，自引：0，他引：1  

M. H. Tangestani  F. Moore 《Australian Journal of Earth Sciences》2013,60(5):695-701

A variety of spatial geological data were compiled, evaluated and integrated to produce a potential map for porphyry copper deposits in the northern Shahr e Babak, Iran, within a total area of approximately 408 km². Remotely sensed data including LANDSAT Thematic Mapper were used to create the hydrothermal alteration haloes around intrusive bodies. Geological data, such as exposed granitic to intermediate intrusions, and part of the lineaments were extracted from available geological maps. Aeromagnetic data were also used to extract magnetic anomalies and extra lineaments. The Conditional Independence test was carried out on five binary maps representing diagnostic deposit recognition criteria, and four of them were then integrated using a weights of evidence model. The procedure generated a posterior probability map identifying favourable areas for porphyry copper deposits. The final map highlights the most important known copper deposits in high favourability domains. Some new target areas are also located in the favourability map and warrant further investigation.  相似文献   

浙西北热液型铅锌银多金属矿成矿特征与定量预测          下载免费PDF全文

王成彬  陈建国  张珍玉 《江苏地质》2013,37(3):436-443

基于GIS空间分析技术,以MORPAS为平台,建立浙西北热液型铅锌银多金属矿多元空间数据库,在对本地区铅锌银多金属成矿规律研究的基础上,运用数理化的手段对与本地区成矿有关的地层、构造、岩浆岩、地球物理、地球化学等多元数据进行量化、分析建立本地区的找矿概念模型,利用证据权的方法进行成矿定量预测。通过分析,发现浙西北热液型铅锌银多金属矿与本地区的地层、岩浆、褶皱、断裂、重力、地球化学数据及其衍生变量具有密切关系。根据计算出的成矿有利度及其等值线图将研究区划分为18个靶区、2个成矿远景区。  相似文献   

辽东沉积变质型铁矿找矿预测研究          下载免费PDF全文

郑永琴  陈建平  陈东越 《江苏地质》2013,37(3):406-412

辽东为华北地台5个重点成矿区之一,铁矿资源丰富,铁矿主要成因类型为沉积变质型。在对区域地质环境、成矿作用、矿床形成以及后期改造作用分析的基础上,探讨了辽东沉积变质型铁矿的成矿模式。在成矿模式指导下筛选出地质、化探、物探等多元找矿信息,建立适合本区域资源预测的找矿模型。依据已建立的辽东区域找矿模型,采用证据权重法对辽东地区进行铁矿资源预测与评价,根据预测的后验概率值圈定一级成矿远景区3个,二级成矿远景区5个。预测结果表明,辽东地区具有较大的找矿潜力,该矿产资源预测方法有效性较好。  相似文献   

基于D-S证据理论的地震多属性融合方法在煤层气富集区预测中的应用(英文)     

祁雪梅  张绍聪 《应用地球物理》2012,9(1):80-86

D-S证据理论为融合不确定信息提供了一条很好的思路。本文提出将D-S证据理论用于地震多属性融合的方法,首先在钻孔实测煤层气含量值的指导下优选对煤层气含量值变化敏感的地震属性,然后基于D-S证据理论对优选的地震属性进行融合处理,并将融合结果用于煤层气富集区的预测。实际应用效果表明:预测结果与钻孔实测煤层气含量值基本吻合,本文提出的基于D-S证据理论的地震多属性融合方法用于预测煤层气富集区是可行的。  相似文献   

西昆仑落石沟一带铅锌矿成矿特征及区域预测     

徐仕琪  冯京  田江涛  赵同阳 《吉林大学学报(地球科学版)》2013,43(4):1190-1199

西昆仑是新疆西南部重要的成矿区带,落石沟矿带已发现铁多金属、铜、铅锌矿（床）点16处,成矿潜力巨大。从区域地质成矿背景、控矿构造、沉积建造分析入手,以宝塔山、落石沟铅锌矿作为典型矿床,结合重力、磁法、化探、遥感等信息建立了区域预测概念模型,初步总结了该区铅锌矿的控矿规律,确定了区域宏观与微观预测要素。在此基础上运用证据权法采用地质、地球化学、地球物理、遥感等12个变量进行了成矿后验概率计算,后验概率最大值为0.854 022,最小值为0.000 015。按3级分类,成矿最为有利地区后验概率为0.643 428,较为有利地区后验概率为0.432 833,一般有利地区后验概率为0.222 238。按一定颜色进行分区,根据后验概率图圈定了5个最小预测区。对预测区进行了地质评述,结果表明,西昆仑落石沟一带是寻找层控-热液型铅锌矿较为有利的地区。  相似文献