A new approach of dynamic monitoring of 5‐day snow cover extent and snow depth based on MODIS and AMSR‐E data from Northern Xinjiang region

Taking the Northern Xinjiang region as an example, we develop a snow depth model by using the Advanced Microwave Scanning Radiometer‐Earth Observing System (AMSR‐E) horizontal and vertical polarization brightness temperature difference data of 18 and 36 GHz bands and in situ snow depth measurements from 20 climatic stations during the snow seasons November–March) of 2002–2005. This article proposes a method to produce new 5‐day snow cover and snow depth images, using Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) daily snow cover products and AMSR‐E snow water equivalent and daily brightness temperature products. The results indicate that (1) the brightness temperature difference (Tb_18h–Tb_36h) provides the most accurate and precise prediction of snow depth; (2) the snow, land and overall classification accuracies of the new images are separately 89.2%, 77.7% and 87.2% and are much better than those of AMSR‐E or MODIS products (in all weather conditions) alone; (3) the snow classification accuracy increases as snow depth increases; and (4) snow accuracies for different land cover types vary as 88%, 92.3%, 79.7% and 80.1% for cropland, grassland, shrub, and urban and built‐up, respectively. We conclude that the new 5‐day snow cover–snow depth images can provide both accurate cloud‐free snow cover extent and the snow depth dynamics, which would lay a scientific basis for water management and prevention of snow‐related disasters in this dry and cold pastoral area. After validations of the algorithms over other regions with different snow and climate conditions, this method would also be used for monitoring snow cover and snow depth elsewhere in the world. Copyright © 2011 John Wiley & Sons, Ltd.     

A comparison of temporal properties of short and long gamma-ray bursts

In this paper, we have performed a temporal analysis of single pulses from short (46) and long (51) gamma-ray bursts (GRBs) to investigate possible differences in their properties. In particular we pay detailed attention to the asymmetry of pulses. We find that the asymmetry ratio of short GRB pulses clusters around 0.81 and that these pulses are on average more symmetric than those from long GRBs, which have an average value of 0.47. In addition we note that the pulses in short GRBs display exponential rises and fast decays (ERFD) in comparison the fast rise exponential decays (FRED) pulses of long GRBs. The asymmetry ratio does not depend on the full width at half maximum (FWHM) and does not vary with energy channel. Moreover, there is a general trend for slower pulses to be more asymmetric. Finally, we deduce that the asymmetry could be used to probe the emission mechanisms of GRBs.     

First report of eclogites from central Tibet,China: evidence for ultradeep continental subduction prior to the Cenozoic India‐Asian collision

Eclogites characterized by a garnet + clinopyroxene + orthopyroxene + sanidine + rutile assemblage are reported for the first time in the eastern Bangong suture, central Tibet (China). Garnet and sanidine are exsolved from clinopyroxene. Al‐exchange barometer for orthopyroxene and garnet and K concentrations in clinopyroxene indicate a peak pressure of ～4 GPa. The occurrence of these ultrahigh‐pressure rocks implies the subduction of continental crust to a depth of >130 km along the eastern Bangong suture zone during the Early Jurassic. The denudation of these ultrahigh‐pressure metamorphic rocks could have provided a significant source for the Jurassic turbidites in the western Bangong ocean basin.     

Mining spatiotemporal association patterns from complex geographic phenomena

ABSTRACT

Spatiotemporal association pattern mining can discover interesting interdependent relationships among various types of geospatial data. However, existing mining methods for spatiotemporal association patterns usually model geographic phenomena as simple spatiotemporal point events. Therefore, they cannot be applied to complex geographic phenomena, which continuously change their properties, shapes or locations, such as storms and air pollution. The most salient feature of such complex geographic phenomena is the geographic dynamic. To fully reveal dynamic characteristics of complex geographic phenomena and discover their associated factors, this research proposes a novel complex event-based spatiotemporal association pattern mining framework. First, a complex geographic event was hierarchically modeled and represented by a new data structure named directed spatiotemporal routes. Then, sequence mining technique was applied to discover the spatiotemporal spread pattern of the complex geographic events. An adaptive spatiotemporal episode pattern mining algorithm was proposed to discover the candidate driving factors for the occurrence of complex geographic events. Finally, the proposed approach was evaluated by analyzing the air pollution in the region of Beijing-Tianjin-Hebei. The experimental results showed that the proposed approach can well address the geographic dynamic of complex geographic phenomena, such as the spatial spreading pattern and spatiotemporal interaction with candidate driving factors.     

On the attribution of changing pan evaporation in a nature reserve in SW China

Negative trends of measured pan evaporation are widely reported. Studies of the factors that underlie this reduction in pan evaporation have not reached a consensus about the controlling factors. Most studies employ statistical analysis (correlation analysis or stepwise regression) to identify the controlling climatic variables; in contrast, few studies have employed physical‐based theories. In addition, observations of pan evaporation and related climatic variables are reported to be influenced by anthropogenic activities. Consequently, the observed trends of climatic variables in a nature reserve would be useful for understanding regional climate change. The present study site is located in Ailaoshan National Nature Reserve, SW China, which is free of anthropogenic activity. In this study, we firstly applied the adjusted PenPan model to estimate the pan evaporation. Then, using this physical‐based model, we identified a positive trend in pan evaporation, with a much larger increase in the dry season than in the wet season. The model results indicate that the change in the aerodynamic component is larger than that in the radiative component. In contrast to the reduction in wind speed and sunshine hours that has been reported in previous studies at various sites, we found that wind speed and sunshine hours have increased in recent decades, thereby explaining the increase of the pan evaporation rate. Wind speed made the greatest contribution to the change in pan evaporation, followed by sunshine duration. This study indicates that the potential evaporation has increased at this site despite the widely reported reduction in measured pan evaporation. During the dry season, the availability of water for agriculture and agroforestry could be threatened. Copyright © 2012 John Wiley & Sons, Ltd.     

滇黔桂地区卡林型金矿多层次构造滑脱成矿系统构建和找矿实践

南盘江—右江成矿区作为中国南方集中产出卡林型金矿的地区,是我国最重要的金资源产地之一。本文通过沉积系统、地层系统、岩石系统、构造系统、年代系统、物质系统、就位系统、动力学系统的研究,拓展了构造蚀变体的内涵,建立其判别指标,明确其既可产出于不整合面之间,亦可在能干性差异大的岩层之间,构建了中国南方卡林型金矿多层次构造滑脱成矿系统,建立了贵州卡林型金矿区域找矿预测综合模型。基于构建的成矿系统和预测模型,开展了区域成矿预测,圈定找矿靶区,进行了理论指导下的找矿实践,实现了贵州卡林型金矿的历史性突破。     

Experimental Investigation of Early-Warning Critical Energy for Strainbursts

Geotechnical and Geological Engineering - This research aimed to establish an early-warning critical energy for coal instability based on the energy theory and acoustic emission characteristics of...     

Discussion of the genetic relations between W and Sb-Au mineralization of Xiangzhong ore district: Constraints from Sr-Nd-H-O isotopic compositions of the Caojiaba W and Longshan Sb-Au depositsSCIEI北大核心CSCD

湘中是全球最大的锑金矿集区,近年来又陆续探明了一批钨矿床,但这些钨矿和锑金矿之间的关系目前尚不明确。曹家坝钨矿床是目前该矿集区内规模最大的钨矿床(19.03Mt@0.37%WO3),矿体与矽卡岩密切共生,成矿作用划分为矽卡岩阶段、退化蚀变阶段和石英-白钨矿-硫化物阶段。不同阶段白钨矿δ18OV-SMOW变化范围为6.0‰-7.9‰,δDV-SMOW变化范围为-79.1‰--68.9‰,对应的δ18OH2O变化范围为3.3‰-5.2‰。白钨矿(87Sr/86Sr)t变化范围为0.72215-0.73049,εNd(t)变化范围为-12.8--10.6。龙山锑金矿床是矿集区内发育的大型脉状锑金矿床(4.2Mt@3.4%Sb和3.7g/t Au),矿体赋存在震旦系江口组板岩中,发育两个世代的白钨矿与辉锑矿共生。白钨矿δ18OV-SMOW变化范围为5.4‰-9.0‰,δDV-SMOW变化范围为-72.9‰--60.2‰,对应的δ18OH2O变化范围为3.1‰-6.7‰。Sr-Nd-H-O多元同位素特征显示,曹家坝钨矿床的成矿物质和成矿流体以岩浆来源为主,龙山锑金矿床有岩浆流体参与成矿,两者均有少量板溪群基底地层和大气降水的加入。综合本次及前人研究成果,曹家坝钨矿床和龙山锑金矿床具有成因联系,二者均是湘中矿集区晚三叠世岩浆热液W-Sb-Au成矿系统的重要组成部分。     

偏压固结下碱渣土循环累积孔压及强度弱化规律研究

碱渣是氨碱法制纯碱时排出的固体废弃物,经适当的加固处理后作为工程填垫土可以有效解决占地和污染问题。碱渣土的力学性质不稳定,在循环荷载作用下强度会发生明显弱化,导致承载力大幅降低。以天津港地区回填碱渣土为研究对象,开展了系列动三轴试验,以固结围压、动应力比和偏压固结比为试验变量,研究了不同应力组合下碱渣土中循环累积孔压发展规律以及循环后碱渣土不排水强度演化规律。基于等效超固结模型,引入强度弱化系数β,建立了考虑偏压固结比和动应力比影响的碱渣土循环强度弱化模型;引入强度提升系数α,建立了考虑偏压固结过程和循环加载过程耦合影响的碱渣土强度演化模型,并通过试验数据验证了模型的正确性。     

含消落带劣化岩体的危岩边坡动力累积损伤机制研究

对消落带劣化岩体及水库诱发地震共同影响下三峡库区某典型危岩边坡的稳定性进行了研究,设计并开展了几何相似比为1:100的振动台模型试验,探讨了含消落带劣化岩体的危岩边坡动力累积损伤—失稳破坏演化全过程及其动力响应规律。研究表明：含消落带劣化岩体的危岩边坡动力累积损伤—失稳破坏全过程可归结为坡体内部损伤累积—裂隙发育—次级节理与深大裂隙贯通—失稳倾倒,同时伴随消落带岩体表层松动—掉落—破坏及内部出现渗流网—形成渗流通道—形成“凹腔”的复合破坏模式;随着地震动的持续,危岩体内部动力响应规律具有典型的“趋高”及“趋表”效应,危岩边坡表面累积位移不断增加,消落带处孔隙水压力整体增加,危岩边坡内部水平向及竖直向土压力在全阶段中整体均呈先增大后减小的规律;危岩边坡自振频率及阻尼比在全阶段整体呈减小和增加的趋势;在小震结束前阶段及强震阶段,危岩边坡损伤度曲线分别呈“S”型分布和指数型分布。