Three-dimensional model and late stage warping of the Plattengneis Shear Zone in the Eastern Alps

The Plattengneis shear zone is a 250–600 m thick, flat lying, Cretaceous, eclogite facies, mylonitic shear zone, with north-over-south transport direction, that is exposed over almost 1000 km² in the Koralpe region along the eastern margin of the Alps. Although the shear zone is one of the largest in the Alps, its role in the Eoalpine metamorphic evolution and the subsequent exhumation of the region, remain enigmatic and its large-scale geometry is not well understood. The outcrop pattern suggests that the shear zone is made up of a single sheet that is folded into a series of open syn- and antiforms with wavelengths of about 10 km. Eclogite bodies occur above, within and below the shear zone and there is no metamorphic grade change across the shear zone. In the south, the fold axes strike east–west and plunge shallowly to the east. In the north, the fold axes are oriented in north–south direction and form a dome shaped structure of the shear zone. Total shortening during this late stage warping event was of the order of 5%. Indirect evidence constrains this folding event to have occurred between 80 and 50 Ma and the fold geometry implies that the final exhumation in the Koralpe occurred somewhat later than further north. Interestingly, the shear zone appears to strike out of the topography in the south and dip into the topography in the north, so that north of the shear zone only hanging-wall rocks are exposed and south of it only foot-wall rocks. Possibilities for the geometric relationship of the Plattengneis shear zone with the surrounding south dipping detachments are discussed.     

基于动态图像变形的PP与PS波层位直接匹配

多分量地震资料的矢量偏移、多波地震资料的联合解释与反演均需要估算纵横波的速度比,实现纵波与转换横波在时间或深度域的匹配.基于DTW,本文实现了一种适用于PP与PS波直接匹配的动态图像变形算法.该算法分为三个部分:首先,使用二阶对称动态规划算法逐样点递归计算PP与PS波走时或深度的误差累积和;其次,在以误差累积和为目标函数的回溯阶段设定变形窗,并在纵横波速比约束的变形窗内递归回溯搜索匹配路径;最后,根据最大相关系数判定准则在匹配路径中确定最佳匹配路径,获得使PP与PS波匹配的拉伸或压缩时移量.利用所获得的拉伸压缩时移量计算纵横波速度比就可以实现PP与PS波之间的匹配.模型与实际陆上多分量地震资料测试结果表明:该方法具有较高的匹配精度,且对于信噪比、相似度较低的多分量地震资料,该方法也能产生较好的匹配效果.     

Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves

Green-leaf phenology describes the development of vegetation throughout a growing season and greatly affects the interaction between climate and the biosphere. Remote sensing is a valuable tool to characterize phenology over large areas but doing at fine- to medium resolution (e.g., with Landsat data) is difficult because of low numbers of cloud-free images in a single year. One way to overcome data availability limitations is to merge multi-year imagery into one time series, but this requires accounting for phenological differences among years. Here we present a new approach that employed a time series of a MODIS vegetation index data to quantify interannual differences in phenology, and Dynamic Time Warping (DTW) to re-align multi-year Landsat images to a common phenology that eliminates year-to-year phenological differences. This allowed us to estimate annual phenology curves from Landsat between 2002 and 2012 from which we extracted key phenological dates in a Monte-Carlo simulation design, including green-up (GU), start-of-season (SoS), maturity (Mat), senescence (Sen), end-of-season (EoS) and dormancy (Dorm). We tested our approach in eight locations across the United States that represented forests of different types and without signs of recent forest disturbance. We compared Landsat-based phenological transition dates to those derived from MODIS and ground-based camera data from the PhenoCam-network. The Landsat and MODIS comparison showed strong agreement. Dates of green-up, start-of-season and maturity were highly correlated (r 0.86-0.95), as were senescence and end-of-season dates (r > 0.85) and dormancy (r > 0.75). Agreement between the Landsat and PhenoCam was generally lower, but correlation coefficients still exceeded 0.8 for all dates. In addition, because of the high data density in the new Landsat time series, the confidence intervals of the estimated keydates were substantially lower than in case of MODIS and PhenoCam. Our study thus suggests that by exploiting multi-year Landsat imagery and calibrating it with MODIS data it is possible to describe green-leaf phenology at much finer spatial resolution than previously possible, highlighting the potential for fine scale phenology maps using the rich Landsat data archive over large areas.     

径流还原计算中淤地坝拦蓄水量还原计算方法

黄土高原地区淤地坝分布密集,对天然产汇流过程扰动较大,给径流还原或水资源评价带来了极大的影响。因此,研究淤地坝影响下的径流还原计算方法对区域水资源评价或径流设计有重要意义。以黑木头川流域为研究对象,分别采用还原系数法和径流系数法计算了殿市水文站控制产汇流区的淤地坝逐年拦蓄水量,并将两种方法的结果进行对比,论证了还原系数法的适用性。还原系数法的计算结果表明:1971~2007年殿市水文站产流区内的淤地坝平均年拦蓄水量为86.21×104m3,与径流系数法计算所得到的拦蓄水量基本一致,相对误差仅为1.36%。同时,研究发现单位控制面积分摊后的拦蓄水量在年际变化上并不显著,基本维持在某一区间内。研究结果表明还原系数法不仅可用于洪水还原,也可较为准确地计算淤地坝影响区的淤地坝拦蓄变量。作为河川径流还原计算方法或淤地坝影响的黄土高原地区水资源评价研究的计算方法之一,可与径流系数法进行交叉验证,进而获得比较准确的淤地坝拦蓄水量。且由于淤地坝年拦水量空间分摊后,单位控制面积的拦水量基本稳定,故在淤地坝上游无明显人类活动的情况下,可据此初估已知或近似区域淤地坝控制流域面积条件下的淤地坝年拦蓄水量,为黄土高原地区今后开展水资源评价和径流预报提供一条简单的途径。     

Similarity search and pattern discovery in hydrological time series data mining

The rapid development of data mining provides a new method for water resource management, hydrology and hydroinformatics research. In the paper, based on data mining theory and technology, we analyse hydrological daily discharge time series of the Shaligunlanke Station in the Tarim River Basin in China from the year 1961 to 2000. Firstly, according to the four monthly statistics, namely mean monthly discharge, monthly maximum discharge, monthly amplitude and monthly standard deviation, K‐mean clustering was used to segment the annual process of the daily discharge. The clustering result showed that the annual process of the daily discharge can be divided into five segments: snowmelt period I (April), snowmelt period II (May), rainfall period I (June–August), rainfall period II (September) and dry period (October–December and January–March). Secondly, dynamic time warping (DTW), which is a different distance metric method from the traditional Euclidian distance metric, was used to look for similarities in the discharge process. On the basis of the similarity matrix, the similar discharge processes can be mined in each period. Thirdly, agglomerative hierarchical clustering was used to cluster and discover the discharge patterns in terms of the autoregressive model. It was found that the discharge had a close relationship with the temperature and the precipitation, and the discharge processes were more similar under the same climatic condition. Our study shows that data mining is a feasible and efficient approach to discover the hidden information in the historical hydrological data and mining the implicative laws under the hydrological process. Copyright © 2010 John Wiley & Sons, Ltd.     

环印度洋地区中国国家风险的综合评估及时空演变分析

环印度洋地区对中国经济发展与国家安全至关重要,但是环印度洋地区广阔的地域空间和复杂的社会环境,对中国企业投资、商贸往来等构成诸多潜在风险。基于2005—2019年环印度洋地区49个国家的相关数据,从政治、经济、社会和文化4个维度选取22个指标构建环印度洋地区国家风险评价指标体系,利用动态时间规整和地图可视化探究环印度洋地区5个子区域2005—2019年综合风险及各维度风险的时空演变特点。研究结果表明：① 2005—2019年,环印度洋地区国家的综合风险总体呈下降趋势,但区域内国家仍集中在中风险和较高风险等级;② 巴基斯坦?阿富汗?伊拉克?伊朗和埃及?苏丹?厄立特里亚?索马里是区域内2大综合风险高值集聚区,环印度洋地区国家的综合风险呈现较为明显的“区域集聚性”特点;③ 不同地区主导风险不同,政治风险是除澳大利亚以外其他地区的主导风险,也是环印度洋地区目前最主要的风险来源。     

陕北黄河中游淤地坝拦沙功能失效的判断标准

利用2011 年第一次全国水利普查中4157 座骨干坝数据、1989 年陕北淤地坝调查中1640座中小坝数据,分别计算了1950-2011 年期间骨干坝、1956-1989 年期间中小坝的逐年平均淤积比例,得到截至2011 年,1980 年前修建骨干坝的平均淤积比例基本稳定,平均值为0.77,1980 年后开始逐渐下降;截至1989 年,1980 年前修建中小坝的平均淤积比例基本稳定,平均值为0.88,1980 年后开始逐渐下降的变化趋势,确定平均淤积比例0.77、0.88 分别为骨干坝、中小坝拦沙能力失效的判断标准。利用陕北淤地坝调查数据计算得到的骨干坝拦沙功能失效判断一致;在无定河、延河流域,水文站输沙数据的变化趋势与淤地坝是否拦沙显著相关。最后从淤地坝工程结构的角度,剖析了排水排沙位置的改变是判断标准形成的原因。     

北京市通州区龙旺庄隐伏灰岩水源地勘查与评价研究

鉴于平原区深埋岩溶裂隙不勘查比较复杂,通过地面物质,采用瞬变电磁圈定富水带,通过探采结合勘察的方法,在大兴隆起带上通过龙旺庄地区的上叠式小背斜构造位找到了一处中型优质地下水源地;通过历时一年的开采抽水试验,采用相关分析法进行资源计算与评价,在北京市平原区寻找隐优灰岩水是一次理论上和技术上的新突破,对今后平原区深埋基岩找水,勘查与评价都具有借鉴指导意义。