中国极端温度的群发性研究

从极端事件再现时间的角度研究了中国极端高、低温事件再现时间序列的长程相关性、群发性以及二者的关系。发现极端温度事件再现时间序列具有长程相关性,表征长程相关性的标度指数分布存在着明显的区域性特征,并与大气环流有关,当中国大陆在盛夏或隆冬稳定的西风环流控制下,极端温度的长程相关性较好,标度指数较大。通过定义极端事件的群发指数,对极端高、低温进行研究,发现具有长程相关性再现时间序列的极端温度呈现群发现象,且极端温度再现时间序列的标度指数和群发指数二者在空间分布上有较好的对应,极端温度再现时间序列的长程相关性可能是导致极端温度群发性的原因。从年际变化的角度看,极端高温Ⅰ级群发区域的群发指数增长趋于平缓,而极端低温Ⅰ级群发区域的群发指数有下降趋势,这与近几十年来全球变暖一致。在年代际尺度上,群发指数分布的演变特征明显,极端高温Ⅰ级群发区域总体面积变化不大,而极端低温Ⅰ级群发区域面积明显减少。因此,极端低温事件群发性减弱很可能是年代际气候变暖的主要原因。     

雷达资料同化频次对数值模拟效果影响的试验

采用中尺度数值天气预报模式WRF3.2, 研究了不同的同化时间间隔对2011年7月3~4日成都暴雨模拟的影响。结果表明, 同化了雷达资料后, 使初始场的水汽场、水平风场、垂直速度的分布更加接近实况;除温度场外, 同化频次越高对初始场的影响越大, 水平风场的增量值越大, 呈现的中小尺度信息越多, 更加接近“真实”大气;经过多次同化, 中低层风场的改变已经传递到高层, 引起了高层流场的调整;同化雷达反射率资料是有效的, 能够调整大气中的水汽分布。     

Fluid Borders: Rethinking Historical Geography and Fixed Map Boundaries in Contested Regions

This article introduces a quantitative methodology for analyzing contested map borders. The article applies the new analytical technique to a data set of thirty maps showing Bulgaria in ca. 800 CE, a disputed state and period in medieval historiography with relevance to modern national politics and territorial claims. Based on the data set, we generate a series of new maps that make explicit the fluid medieval boundaries and general disagreement among geographers and historiographers. Our analysis begins with a simple point-in-polygon procedure to create a majority map that depicts the points included within the borders of the Bulgarian polity in sixteen or more of the maps (>50 percent). The majority map is then combined with percentage maps, confidence interval map boundaries, and cluster maps. The confidence interval maps are created via a spatial bootstrapping procedure and measure the uncertainty in the majority map. The cluster maps are developed via a radial basis function and provide insight into the potential affectivity based on the cartographers' countries of origin. The final map reflects the general modern consensus of the borders of the Bulgarian polity around 800 CE. Besides its quantitative contribution to medieval and modern cartographic, historiographical, and political debates, this article has developed a widely applicable methodology for synthesizing map borders and territories in cases of cartographic disagreement.     

基于移动区间的GPS精密星历内插方法

针对采用多项式对GPS精密星历进行插值随着阶数增加插值,精度出现衰减或不稳定的问题,提出了基于移动区间的GPS精密星历内插方法来解决这一问题。采用不同分析中心提供的精密星历进行插值计算,比较不同数据产品的质量,选用数据质量比较好的精密星历进行插值计算,比较三种多项式插值的插值精度。实验结果表明：IGS所提供的精密星历数据质量比较好;采用基于移动区间的多项式插值方法,插值精度可达到亚厘米级。     

Palaeoflood hydrology of the Salt river,Arizona

Geomorphic evidence along bedrock-confined reaches of the Salt River in east-central Arizona provides a record of the river's largest flood events. Fine-grained flood slackwater deposits accumulated at channel margin irregularities several metres above the low-flow channel. Discharges associated with flow events responsible for the deposits were estimated by computer flow modelling. These estimates document flood magnitudes in excess of gauged historic streamflows. Relative and radiocarbon dating suggest that a flood record in excess of 600 y is preserved in the slackwater sequences. A prominent flood scar cut into grussy hillslope soils allows the extension of the prehistoric flood record to several thousand years. A maximum discharge estimate of 4600 m³s^?1 affixed to the flood scar represents the largest flood event in the record, and is given a minimum recurrence interval of 1000–2000 y. The 1952 flood is the largest historic flow event experienced along the study reach and is estimated at 2900 m³s^?1. Two palaeoflood events preserved in the slackwater stratigraphy exceed the 1952 event, and are given recurrence intervals of 300 and 600 y. The latter flood event had an estimated discharge of 3200 m³s^?1. It is apparent that discharge estimates affixed to these infrequent, large-magnitude flood events approach a maximum with decreased probabilities (large recurrence intervals). This suggests that a physical limit on discharge may exist within the Salt River drainage basin and is perhaps directly related to drainage basin size.     

中国大陆活动断裂大震复发间隔

通过重新编制活动断层定量参数数据库,利用中国大陆活动断裂定量资料评估了中国大陆活动断裂(段)的大震复发间隔,给出了青藏、新疆、华北3个构造区的大震复发间隔分布特征。研究结果表明,青藏高原活动断裂M7.5级以上大震复发间隔远小于华北和新疆。青藏高原从几100a到2000a,而华北和新疆则从2000a到5000a。大震复发间隔与断层滑动速率成反比,边界断裂的大震复发间隔通常比块体内部断裂短,比例关系大体为1:1.5—2.0。大震复发间隔与断裂性质相关,走滑断层的复发间隔小于逆走滑断层,逆走滑断层小于逆断层,比例关系大体为1:1.5—2.5。现有的定量数据汇编成果和大震复发间隔估计以及统计结果,既可作为地震危险性分析的重要参数,又可作为构造类比研究的参考信息。     

复杂条件下的地下管线探测模拟

近间距、非金属地下管线的探测是当今管线探测的两大难题,再加上复杂的层状介质及干扰因素的影响,使得管线探测的难度增加,雷达剖面上目标体异常的判断比较困难。为了定位目标管线,提高解释的精度,针对两大探测难题及干扰因素,运用探地雷达模拟软件GprMax,结合Matlab语言建立复杂层状条件下的管线模型进行模拟研究。模拟结果表明:250 MHz天线频率下埋深1 m的管线横向分辨率为50 cm,金属管线和非金属管线的雷达反射波图像不同,可根据非金属管线的雷达剖面图像判断出管线充填物质和管径大小。模拟结果对实际复杂地下管线探测可起到指导作用。     

SPI drought class prediction using log-linear models applied to wet and dry seasons

A log-linear modelling for 3-dimensional contingency tables was used with categorical time series of SPI drought class transitions for prediction of monthly drought severity. Standardized Precipitation Index (SPI) time series in 12- and 6-month time scales were computed for 10 precipitation time series relative to GPCC datasets with 2.5° spatial resolution located over Portugal and with 112 years length (1902–2014). The aim was modelling two-month step class transitions for the wet and dry seasons of the year and then obtain probability ratios – Odds – as well as their respective confidence intervals to estimate how probable a transition is compared to another. The prediction results produced by the modelling applied to wet and dry season separately, for the 6- and the 12-month SPI time scale, were compared with the results produced by the same modelling without the split, using skill scores computed for the entire time series length. Results point to good prediction performances ranging from 70 to 80% in the percentage of corrects (PC) and 50–70% in the Heidke skill score (HSS), with the highest scores obtained when the modelling is applied to the SPI12. The adding up of the wet and dry seasons introduced in the modelling brought improvements in the predictions, of about 0.9–4% in the PC and 1.3–6.8% in the HSS, being the highest improvements obtained in the SPI6 application.     

A daily rainfall occurrence process

A model for the periodic (annual cycle), discrete rainfall occurrence process is presented. Using this model the probabilistic properties of the process in -day intervals can be investigated. In such an interval the rainfall occurrence process is approximated by some stationary processa _t ,tIN. The processa _t ,tIN is described by the distributions of the lengths of wet and dry sequences. It is assumed that the lengths of successive wet and dry sequences are independent. For this process the distribution of the number of wet days in -day intervals is calculated. The model is fitted to 50-year rainfall data from Wroclaw, Poland. Rainfall amounts of 0.1, 1.0 and 2.0 mm are considered as thresholds defining a wet day. To estimate the distribution of the length of wet and dry sequences the family of Pascal distribution is chosen.     

Regularized joint inverse estimation of extreme rainfall amounts in ungauged coastal basins of El Salvador

A regularized joint inverse procedure is presented and used to estimate the magnitude of extreme rainfall events in ungauged coastal river basins of El Salvador: Paz, Jiboa, Grande de San Miguel, and Goascoran. Since streamflow measurements reflect temporal and spatial rainfall information, peak-flow discharge is hypothesized to represent a similarity measure suitable for regionalization. To test this hypothesis, peak-flow discharge values determined from streamflow recurrence information (10-year, 25-year, and 100-year) collected outside the study basins are used to develop regional (country-wide) regression equations. Peak-flow discharge derived from these equations together with preferred spatial parameter relations as soft prior information are used to constrain the simultaneous calibration of 20 tributary basin models. The nonlinear range of uncertainty in estimated parameter values (1 curve number and 3 recurrent rainfall amounts for each model) is determined using an inverse calibration-constrained Monte Carlo approach. Cumulative probability distributions for rainfall amounts indicate differences among basins for a given return period and an increase in magnitude and range among basins with increasing return interval. Comparison of the estimated median rainfall amounts for all return periods were reasonable but larger (3.2–26%) than rainfall estimates computed using the frequency-duration (traditional) approach and individual rain gauge data. The observed 25-year recurrence rainfall amount at La Hachadura in the Paz River basin during Hurricane Mitch (1998) is similar in value to, but outside and slightly less than, the estimated rainfall confidence limits. The similarity in joint inverse and traditionally computed rainfall events, however, suggests that the rainfall observation may likely be due to under-catch and not model bias.