Characterization of partial melting events in garnet-cordierite gneiss from the Kerala Khondalite Belt,India     

Nilanjana Sorcar  Kumar Batuk Joshi  Elson POliveira  JKTomson  VNandakumar 《地学前缘(英文版)》2020,(2):597-611

Phase equilibria modelling coupled with U–Pb zircon and monazite ages of garnet–cordierite gneiss from Vallikodu Kottayam in the Kerala Khondalite Belt,southern India are presented here.The results suggest that the area attained peak P–T conditions of^900
C at 7.5–8 kbar,followed by decompression to 3.5–5 kbar and cooling to 450–480
C,preserving signatures of the partial melting event in the field of high to ultra-high temperature metamorphism.Melt reintegration models suggest that up to 35%granitic melt could have been produced during metamorphism at^950
C.The U–Pb age data from zircons(~1.0–~0.7 Ga)and chemical ages from monazites(~540 Ma and^941 Ma)reflect a complex tectonometamorphic evolution of the terrain.The^941 Ma age reported from these monazites indicate a Tonian ultra-high temperature event,linked to juvenile magmatism/deformation episodes reported from the Southern Granulite Terrane and associated fragments in Rodinia,which were subsequently overprinted by the Cambrian(~540 Ma)tectonothermal episode.  相似文献   

High to ultrahigh temperature contact metamorphism and dry partial melting of the Tasiuyak paragneiss,Northern Labrador     

R. K. Mitchell  A. Indares  B. Ryan 《Journal of Metamorphic Geology》2014,32(6):535-555

Contact aureoles of the anorthositic to granitic plutons of the Mesoproterozoic Nain Plutonic Suite (NPS), Labrador, are particularly well developed in the Palaeoproterozoic granulite facies, metasedimentary, Tasiuyak gneiss. Granulite facies regional metamorphism (M_R), c. 1860 Ma, led to biotite dehydration melting of the paragneiss and melt migration, leaving behind biotite‐poor, garnet–sillimanite‐bearing quartzofeldspathic rocks. Subsequently, Tasiuyak gneiss within a c. 1320 Ma contact aureole of the NPS was statically subjected to lower pressure, but higher temperature conditions (M_C), leading to a second partial melting event, and the generation of complex mineral assemblages and microstructures, which were controlled to a large extent by the textures of the M_R assemblage. This control is clearly seen in scanning electron microscopic images of thin sections and is further supported by phase equilibria modelling. Samples collected within the contact aureole near Anaktalik Brook, west of Nain, Labrador, mainly consist of spinel–cordierite and orthopyroxene–cordierite (or plagioclase) pseudomorphs after M_R sillimanite and garnet, respectively, within a quartzofeldspathic matrix. In addition, some samples contain fine‐grained intergrowths of K‐feldspar–quartz–cordierite–orthopyroxene inferred to be pseudomorphs after osumulite. Microstructural evidence of the former melt includes (i) coarse‐grained K‐feldspar–quartz–cordierite–orthopyroxene domains that locally cut the rock fabric and are inferred to represent neosome; (ii) very fine‐ to medium‐grained cordierite–quartz intergrowths interpreted to have formed by a reaction involving dissolution of biotite and feldspar in melt; and (iii) fine‐scale interstitial pools or micro‐cracks filled by feldspar interpreted to have crystallized from melt. Ultrahigh temperature (UHT) conditions during contact metamorphism are supported by (i) solidus temperatures >900 °C estimated for all samples, coupled with extensive textural evidence for contact‐related partial melting; (ii) the inferred (former) presence of osumilite; and (iii) titanium‐in‐quartz thermometry indicating temperatures within error of 900 °C. The UHT environment in which these unusual textures and minerals were developed was likely a consequence of the superposition of more than one contact metamorphic event upon the already relatively anhydrous Tasiuyak gneiss.  相似文献   

三峡库岸滑坡变形特征及影响因素分析          下载免费PDF全文

李远宁  潘勇  冯晓亮  陈龙  程奎 《探矿工程》2018,45(8):127-131

三峡库区涉水滑坡主要影响因素是水位和降雨量,也是库区滑坡体失稳的主要影响因素和诱发因素。库区每年重复着水位升降不利于滑坡的稳定,而降雨特别是大强度的降雨也诱发产生滑坡。当水位波动遇到降雨,出现工况叠加,滑坡将加剧。因此,有必要对影响滑坡变形的主导因素进行了解分析。2016年6月三峡库区全面展开了自动化监测,使得数据统计方便可靠。本文采用滑坡变形速率、降雨量、库水位变化、最大水位变化速率、淹没程度,运用灰色关联度分析法对涉水滑坡进行了计算分析。水位下降阶段,文中土质滑坡变形受库水位影响最大。水位上升阶段,该土质滑坡上部变形受降雨影响最大,下部受水位影响最大。文中岩质滑坡总是受库水位影响最大。  相似文献   

非等步长GM(1,1)模型及其在大堤沉降监测的应用   总被引：10，自引：0，他引：10  

刘明波  田林亚  孙和平 《测绘工程》2006,15(3):58-60

针对非等步长数据,传统GM方法是构造等步长序列,生成1-AGO序列,再建立等步长GM(1,1)模型。考虑到变形观测序列非等步长特性,以相邻观测时间间隔为权,直接生成1-WAGO序列,建立非等步长GM(1,1)模型。将GM(1,1)模型应用于堤防工程沉降观测分析与预报,得到了有益的结论。  相似文献   

Treatment Effects of Tunnel Entrance Collapse Section Based on Field Monitoring Results北大核心CSCD     

郝付军 《地质与勘探》2022,58(5):1099-1107

为评价隧道洞口塌方段的安全性,基于累计变形预测和变形速率趋势分析模型,结合工程实例,研究隧道洞口塌方段的处理效果。实例分析表明：在累计变形预测方面,GA-VMD模型在隧道变形数据的信息分解过程中具有明显的优越性,可利用其将隧道变形数据分解为趋势项和误差项,且通过组合预测能有效保证预测精度,得出累计变形的后期仍具一定增加趋势,但增加速率相对较小;在变形速率趋势分析方面,变形速率具下降趋势,且随时间持续,下降趋势更为显著。综合对比两者结果,隧道变形无明显增加趋势,并趋于稳定方向发展,说明塌方处理措施是合理有效的,为其防治效果评价提供了理论依据。  相似文献   

基于灰色关联法的县域台风灾情评估方法初探          下载免费PDF全文

叶丁嘉  王国复  尹宜舟  宋月旻  孙劭 《山东气象》2019,39(1):68-75

利用2000—2016年的县域台风灾害历史灾情数据,选取受灾人数、死亡人数、倒损房屋数、农作物受灾面积和直接经济损失为评估指标,在对各项指标进行分级的基础上,通过灰色关联分析法建立了以县域为单位的台风灾害综合灾损指标,对所选取市县的台风灾害损失情况进行了分级评估分析。结果表明,所选取的指标能够快速实现不同台风灾害、不同市县间的台风灾害严重程度的对比分析,具有实际应用价值。灾害等级分布结果显示,东南沿海市县为台风灾害多发区,浙江省、广东省和福建省的各市县为严重灾害（特大型、大型灾害）的易发区;8月、9月为严重灾害的多发时间。以不同登陆地点、不同影响范围的1210号“达维”台风和1513号“苏迪罗”台风为例,对灾情评估的合理性进行了验证。  相似文献   

变权组合预测模型在大坝沉降监测中的应用   总被引：1，自引：0，他引：1  

谢朋朋  黄腾  刘阳 《测绘工程》2015,(4):74-76

为探讨变权组合预测模型在变形监测中的应用,以监测某大坝沉降量为实例,研究基于线性回归预测模型和灰色模型GM(1,1)的变权组合。通过预测该大坝坝内沉降量,比较两种单一预测模型和变权组合预测模型的预测误差平方和,证明变权组合预测模型在沉降预测中具有更好的预测精度。  相似文献   

西南大西洋阿根廷滑柔鱼资源时空分布研究   总被引：2，自引：0，他引：2  

侯庆联  陈新军  汪金涛 《海洋科学》2019,43(5):103-109

通过了解西南大西洋阿根廷滑柔鱼(Illexargentinus)资源丰度年间变化规律,从而对阿根廷滑柔鱼的资源可持续开发与管理打下基础。作者根据2012～2017年西南大西洋阿根廷滑柔鱼生产统计数据,利用灰色关联评价等数理方法对西南大西洋资源渔场的时空分布特征进行了分析。结果表明,2012～2017年间西南大西洋阿根廷滑柔鱼渔场重心主要在经度上分布于58°W～63°W海域,纬度主要集中在41°～44°S、47°～48°S两个区域,高平均网次产量(10 t/网)的海域主要在57°W～67°W、41°S～42°S和57°W～67°W、44°S～50°S海域。灰色关联度表明:6年间,以2015年滑柔鱼资源状况最好,其次是2014年,2012年最差,2013年、2016年和2017年处于中间水平。利用灰色关联分析的阿根廷滑柔鱼资源丰度变化趋势可用于其资源的可持续开发与管理。  相似文献   

Analysis of Multiple Tourist Agents’ Symbiotic Relationship on the View of Tourist Enterprises Based on a Grey Correlation Model: A Case Study of Qinghai Lake,China     

XIANG Cheng  TANG Zhongxia  LIU Menglin  SHAO Li 《资源与生态学报(英文版)》2019,10(3):335-344

Tourism symbiosis is a social phenomenon consisting of many complex factors, and the reciprocal cooperation among multiple tourist agents at tourist destinations is the crux of the sustainable development of tourism. This study is from the perspective of tourist enterprises, and introduces the Symbiosis Theory of genecology. A quantitative evaluation is used to analyze both the equilibrium state of the combined symbiotic behavior routes and the behavior patterns of tourist enterprises with local governments, community residents, tourists and tourist enterprises around Qinghai Lake. The findings reveal: (1) the symbiotic behavior routes of the multiple tourist agents “E→G-R-T-E” in the Qinghai Lake area are constituted of intense symbiotic indications, while the maximum dimensionality of symbiotic interest of “E→G-R-T-E” is still in the state of disequilibrium and dissymmetry; (2) the symbiotic model of multiple tourist agents “E→G-R-T-E” in the Qinghai Lake area is an asymmetrically positive symbiotic model. It is proposed that, by establishing symbiotic mechanisms for guidance, decisions, supervisory control and profit distribution, the participation mechanism for multiple agents “E-G-R-T” can be further standardized. Moreover, tourist enterprises should be regarded as the primary agents to optimize the symbiotic model for “E→G-R-T-E” through the reinforcement of integrative supply and the construction of integrative effect, and finally promote the integrative symbiotic model of symmetrical reciprocity of the E-R-G-T model “driven by scenic areas, responsive to community residents, affected by local governments and enjoyed by tourists.”  相似文献   

最优权组合预测法在采煤沉陷变形预测中的应用   总被引：1，自引：0，他引：1  

鲁小红 《测绘通报》2020,(4):111-115

煤矿地表沉降变形预测多基于煤矿开采沉陷预计理论展开，基于变形分析理论的变形预测模型目前多集中在单模型预测。本文基于组合预测思想，以非等间隔灰色预测模型与BP神经网络模型为预测单模型，以陕西北部某煤矿采煤工作面上方实测地表沉降值为数据源，以最优加权法对单模型预测结果开展了最优权组合，组合模型中两种单模型的权重分别为0.466 7、0.533 3。选取部分监测点的预测结果进行模型精度评价，结果表明：3种预测模型精度均达到了一级。经对比3种模型预测结果，最优权组合预测的模型精度较单模型明显提升，预测结果较非等间隔灰色预测模型与BP神经网络预测模型有明显增益。  相似文献