沟岸侧蚀对泥石流不稳定动力过程的影响

泥石流作为非牛顿体,屈服应力大,运动过程通常不稳定。前人建立了许多模型来研究沟床揭底和堰塞体溃决对泥石流不稳定动力过程的影响,沟岸侧蚀对泥石流不稳定动力过程的影响研究较少。通过侧蚀为主的模型和完全底蚀的模型两种水槽实验的对比,针对泥石流的动力过程展开研究。实验发现两种工况条件下泥石流正应力和孔隙水压力随着龙头高度沿程波动性的增长而相应地波动性增大,但侧蚀作用使得这种波动特征更加明显。通过力学分析,证明侧蚀作用导致泥石流龙头的阻力更大,但是龙身颗粒和龙头颗粒的速度差更大,使得龙头附加坡降更大,因此,侧蚀作用使得泥石流龙头的平均速度更快。泥石流龙头浓度和容重的不断增大,使得阻力不断增大,阻力和动力的动态平衡关系是泥石流不稳定运动的原因之一。     

几种梯度场计算的数值算法及其地学应用

梯度作为标量场在空间上最重要的微观变化特征,能较好地反映其在空间上的变化趋势。本文介绍了中心差分算子、相邻梯度因子和Sobel梯度算子三种梯度数值算法。以点电荷在三维空间中产生的电势场构造了一标量场,通过理论公式求解了其梯度值,并将理论梯度值与三种数值算法的结果进行了对比与统计分析,验证了三种梯度数值算法的有效性和适用性。结果表明,排除场源的影响后,Sobel梯度算子相较其它两种数值算法更逼近于理论梯度值。最后,利用Sobel梯度算子求取了某铜矿区可控源音频大地电磁法(CSAMT)三维视电阻率场的梯度场,用梯度场刻画了视电阻率在空间上的变化趋势,提高了对三维地下空间的电性分布规律和地质情况的认识。     

Spatiotemporal change patterns of urban lakes in China’s major cities between 1990 and 2015

China has experienced unprecedented urbanization in the past decades, resulting in dramatic changes in the physical, limnological, and hydrological characteristics of lakes in urban landscapes. However, the spatiotemporal dynamics in distribution and abundance of urban lakes in China remain poorly understood. Here, we characterized the spatiotemporal change patterns of urban lakes in China’s major cities between 1990 and 2015 using remote-sensing data and landscape metrics. The results showed that the urban lake landscape patterns have experienced drastic changes over the past 25 years. The total surface area of the urban lakes has decreased by 17,620.02?ha, a decrease of 24.22%, with a significant increase in the landscape fragmentation and a reduction in shape complexity. We defined three lake-shrinkage types and found that vanishment was the most common lake-shrinkage pattern, followed by edge-shrinkage and tunneling in terms of lake area. Moreover, we also found that urban sprawl was the dominant driver of the lake shrinkage, accounting for 67.89% of the total area loss, and the transition from lakes to cropland was also an important factor (19.86%). This study has potential for providing critical baseline information for government decision-making in lake resources management and urban landscape design.     

Landsat-8 vs. Sentinel-2: examining the added value of sentinel-2’s red-edge bands to land-use and land-cover mapping in Burkina Faso

The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite imagery received a major boost with the recent launch of the Sentinel-2 sensor by the European Space Agency. Together with Landsat, these sensors provide the scientific community with a wide range of spatial, spectral, and temporal properties. This study compared and explored the synergistic use of Landsat-8 and Sentinel-2 data in mapping land use and land cover (LULC) in rural Burkina Faso. Specifically, contribution of the red-edge bands of Sentinel-2 in improving LULC mapping was examined. Three machine-learning algorithms – random forest, stochastic gradient boosting, and support vector machines – were employed to classify different data configurations. Classification of all Sentinel-2 bands as well as Sentinel-2 bands common to Landsat-8 produced an overall accuracy, that is 5% and 4% better than Landsat-8. The combination of Landsat-8 and Sentinel-2 red-edge bands resulted in a 4% accuracy improvement over that of Landsat-8. It was found that classification of the Sentinel-2 red-edge bands alone produced better and comparable results to Landsat-8 and the other Sentinel-2 bands, respectively. Results of this study demonstrate the added value of the Sentinel-2 red-edge bands and encourage multi-sensoral approaches to LULC mapping in West Africa.     

基于梯度提升算法的岩性识别方法

传统的岩性识别方法如岩屑录井、钻井取心及测井资料解释等技术,对录井质量的依赖程度较高,识别精度与效率低,泛化能力差。随着计算机技术的迅速发展,将测井资料与计算机技术相结合开展岩性研究已成为岩性识别的有效手段。本文提出了一种基于梯度提升算法XGBoost和LightGBM的岩性识别方法。以苏里格气田苏东41-33区块下碳酸盐岩储层为例进行测试验证,采用该方法结合测井资料中的声波时差、自然伽马、光电吸收截面指数、密度、深侧向电阻率和补偿中子等6种参数进行岩性识别,并与KNN （K近邻分类器）、朴素贝叶斯和支持向量机等传统算法进行对比,结果表明,3种传统算法的岩性识别准确率分别为78.45%、74.43%和78.72%,基于梯度提升算法XGBoost和LightGBM的识别准确率分别达到了98.90%和98.72%,远高于传统算法。     

定量研究雅安地形坡向坡度对降水分布的影响

利用四川省雅安市30 m分辨率基础高程数据,提取栅格的坡向和坡度参数,将雅安307个区域自动站在2017年汛期(6—9月)共50次的降水天气个例,分为16次大尺度降水和34次中小尺度降水,使用对应时次的欧洲中心细网格0.25°×0.25°再分析风场资料,根据不同的站点地形高度将风场合成平均风场,和各站点地形的坡向和坡度计算出其动力抬升作用,同时使用当天日照和天文太阳辐射值来计算地形的热力抬升作用,与对应降水过程的降水分布进行多元线性回归,根据回归的标准系数的大小确定各自变量对降水分布的影响,得出以下结论:(1)中小尺度降水中,地形的热力抬升作用对降水分布的影响作用最大,其次是海拔高度,地形的动力抬升作用在三者中对降水分布的影响最小;(2)在大尺度降水中刚好相反,地形的动力抬升对降水的分布影响作用最大,海拔次之,热力抬升作用在三者中影响作用最小;(3)日降水量最大值的站点海拔高度基本位于1 000 m左右,与抬升凝结高度对应较好;(4)从长期的统计来看,地形的动力作用和地表的植被情况对降水分布的影响最大。在实际预报工作用,根据不同的降水类型,关注不同的动力和热力作用对于判断降水分布大值区的位置有较好的参考作用。     

Uncertainty of the Linear Trend in the Zonal SST Gradient Across the Equatorial Pacific Since 1881

The change in the zonal sea surface temperature gradient (ZSSTG) across the equatorial Pacific plays an important role in the global climate system. However, there has not yet been a consensual conclusion about the changing ZSSTG at either a short-term (from 20 to 90 years) or a long-term time scale (longer than 90 years) in the literature. In this study, the uncertainty of the trend in ZSSTG for different sub-periods since 1881 was examined using four interpolated datasets and four un-interpolated datasets. It was found that the trend in ZSSTG on the short-term time scale could be significantly influenced by internal variability such as the El Niño–Southern Oscillation and the Pacific Decadal Oscillation. On the long-term time scale, the sign of the ZSSTG trend depends on the dataset used. In particular, it was not possible to draw a uniform conclusion about the secular trends in ZSSTG in recent history, given the high sensitivity of the ZSSTG trends to the period, dataset, and regions used to calculate the trends. Our results imply that it may not be possible to detect the response of ZSSTG to global warming until a longer data record becomes available in the future.     

福建省晋江市城市热岛强度时空变化特征分析

利用传统的气象站法, 结合空间统计学方法(普通克里金插值法), 对福建省晋江市2010—2014年40个自动气象站逐小时温度资料加以计算处理, 分析了晋江市年、季、昼夜热岛强度时空变化规律。(1)晋江市年、季、昼夜热岛强度都呈带状分布, 等值线呈西南-东北走向, 年、季、昼夜变化趋势显著, 北部热岛强度高于南部。五年间热岛强度持续增强, 但增幅不大, 增速放缓。(2)城市化水平的提高, 会导致热岛强度高值出现季节提前, 故旅游区秋冬季热岛强度高于春夏季, 中心城区和产业经济区夏秋季热岛强度高于冬春季。(3)晋江市热岛效应昼夜空间分布格局差异性大, 夜间热岛强度显著高于白天, 最低值出现在14—16时, 中心城区和产业经济区最低值出现时间较旅游区略推迟, 三个功能区的最高值均出现在凌晨。      

城市人口分布空间自相关的功率谱分析

从理论上可以证明标准的城市人口密度负指数距离衰减模型本质上是一种空间相关函数,基于这种思想对Clark模型进行Fourier变换,可以导出城市人口密度的幂次频谱分布,且功率谱指数理应为β=2±。负指数与幂指数的这种变换关系暗示了城市地理系统简单与复杂的辩证关系。借助中国杭州市4年的人口普查资料转换的平均人口密度分布数据对上述推论进行检验,发现β渐进式趋近于2但并不约等于2。将β值进一步换算为人口过程的分维D和Hurst指数H,结果表明：城市人口具有长程负相关作用,但这种空间作用显示明确的局域化倾向。目前的城市形态演化模拟几乎无一例外地引入了长程作用,根据杭州人口分布的局域化特征,有关地理长程作用的假设和应用有必要重新探讨。     

南海西沙海槽地区的海底热流测量

为了解南海西沙海槽区的地热特征,利用Ewing型地热探针在该区开展了地热测量,并利用TK04热导率仪测量了相关站位表层沉积物样品的热导率,获得了7个站位的热流数据。结果表明,研究区7个站位的热导率变化范围为0.88~1.06 W/m.K,平均为0.96 W/m.K,地温梯度变化范围为85~120℃/km,热流值变化范围为83~112 mW/m2,平均达到95 mW/m2。分析表明测量结果与20世纪80年代中美合作在西沙海槽的地热测量结果一致性较好,说明研究区仍具有高热流特征,推测高热流特征可能与本区高热背景、莫霍面埋深较浅、断裂发育、晚期岩浆活动和基底起伏等有关。