长江口邻近海域夏季大型底栖生物群落特征

本文根据2014年6月长江口邻近海域大型底栖生物的调查资料, 采用优势度指数, 物种多样性指数、丰富度指数、均匀度指数, Bray-Curtis相似性聚类和非参数多维标度排序(nMDS)标序方法, 分析了长江口邻近海域夏季大型底栖生物的群落特征。本次调查共采集大型底栖生物135种, 其中多毛类66种, 甲壳动物33种, 棘皮动物14种, 软体动物13种, 其他类群9种。调查海域的大型底栖生物平均丰度为122.2ind/m₂,平均生物量为7.8g/ m₂。丰度、生物量和多样性指数在不同海区间的空间差异均不显著。大型底栖生物在20%的相似性水平上可以划分为8个群组,各站位间相似性水平较低。ABC曲线表明,伴随海岸带开发及人类活动的持续影响, 长江口邻近海域底栖生境的稳定性受到轻微扰动, 建议继续开展长期连续的监测, 为研究长江口海域环境变化和大型底栖生物群落演替提供基础资料。     

Effect of climate change on water resources in the Yuanshui River Basin: a SWAT model assessment

The Yuanshui River Basin is one of the most important river basins ensuring food production and livelihoods in the Hunan and Guizhou Provinces of China. Based on digital elevation model, land use, soil, and meteorological data, the soil and water assessment tool was used to analyze the response of water resources in the basin to climate change. Specifically, the monthly runoff from the Yuanshui River Basin was simulated. Runoff measurements from the 1961–1990 series were used to calibrate model parameters, and measurements from the 1991–2010 series were used for model validation. The Nash–Sutcliffe efficiency coefficient, correlation coefficient, and water balance error were used to evaluate the simulation results; the values obtained for these parameters were 0.925, 0.929, and 2.0%, respectively, indicating that the established model can be applied successfully to runoff simulations. To evaluate the effects of climate change and human activities on runoff, 24 different climate scenarios were modeled. By comparing the model simulation results with the baseline scenario, the effects of climate change were analyzed by year, during the dry season, and during extremely dry conditions. The results showed that runoff decreased with increasing air temperature and decreasing precipitation, and that the effects of rainfall on runoff were greater than those of air temperature. Under the same baseline conditions, the effects of climate change on runoff were most pronounced during extremely dry months.     

地理国情普查基本统计专题地图实践与探讨

利用地理国情基本统计分析软件对地理国情普查预处理后数据进行基本统计分析。根据基本统计结果、基本统计汇总表及统计报告,制作行政区划四至点、高程分级、坡度分级、水域分布、水域统计、铁路与道路、行政村驻地分布图,并对地理国情普查成果及统计分析成果的应用推广服务提出建议。     

Performance evaluation of ensemble learning techniques for landslide susceptibility mapping at the Jinping county,Southwest China

Natural Hazards - The objective of this study is to investigate different ensemble learning techniques namely Bagging, Boosting, and Stacking for LSM at the Jinping county, Southwest China. Two...     

落石冲击混凝土板与缓冲层组合结构的动力响应

钢筋混凝土（RC）板与一定厚度的土颗粒缓冲层组合结构被广泛用于山区高位单体及群发性崩塌落石的防治,为研究此类防护结构在落石作用下的冲击力衰减规律及RC板的破坏模式,开展了室外系列落石冲击试验。结果表明,增大缓冲层厚度能够有效减小最大冲击力,峰值加速度随缓冲层厚度减小而增大,尤其在缓冲层厚度为0.1 m及0.2 m时,最大值急剧增大,峰值加速度与缓冲层厚度的变化满足指数函数关系;根据量纲分析原理得到缓冲层最大冲击深度与动能的平方成正比、与最大入射冲击力成反比的计算公式,且与实测值较吻合;入射冲击力在缓冲层内的衰减率随缓冲层厚度的增加以指数函数递增,在0.6 m缓冲层厚度下可使峰值冲击力衰减70%左右;随累积冲击能级的增大,RC板经历了弯曲起裂及扩展、次级弯曲裂纹和剪裂纹产生及跨中弯曲裂纹贯通的过程,试验结束时RC板整体表现出典型的弯曲破坏特征。     

安徽宁国石口金矿找矿前景——来自Ⅲ矿化带地球化学原生晕的证据

石口金矿位于钦杭成矿带,是新近发现的具有一定找矿潜力的金矿。为进一步扩大找矿成果,该文通过对石口金矿Ⅲ-②矿体原生晕特征进行综合分析,并结合土壤地球化学测量成果,对找矿前景进行探讨。研究表明:主成矿元素Au与元素As、Ag、Sb密切相关,挥发份F可作为特征指示元素;Ⅲ-②矿体有可能为多期叠加形成,尾晕元素出现在原生晕分带序列前端,指示深部具有一定的成矿潜力。这些研究成果暗示Ⅲ矿化带沿走向及Ⅲ-②号矿体深部具有进一步找矿空间。     

Machine learning reveals the influences of grain morphology on grain crushing strength

Acta Geotechnica - Grain morphology has significant impacts on the mechanical behaviors of granular materials. However, its influences on grain breakage are still poorly understood due to the...     

基于循环神经网络的单站能见度短临预报试验

由于能见度具有局地性和复杂的非线性变化特征,一直是精细化预报的难点。人工神经网络对复杂变化过程的模拟能力较高,为解决这一难题提供了可能性。本文采用循环神经网络,利用福州气象观测站地面观测数据,建立了福州单站能见度短临预报模型,并就预报能力进行了评估。随机检验结果表明,在1 h、3 h、6 h时效上,循环神经网络的预报与观测的变化趋势一致性较好;均方根误差比基于实况的预报分别减小15.75%、31.66%、41.26%,说明具备较好的预报能力;平均绝对值误差比传统BP神经网络分别减小12.90%、24.45%、 38.99%,表明循环神经网络对能见度预报具有优势,为能见度的精细化短临预报提供了新途径。