Simulated eddy induced vertical velocities in a Gulf of Alaska model

Mesoscale eddies can distribute nutrients, heat and fresh water into the Gulf of Alaska (GOA) from the coastal margins. While many studies have investigated the physical characteristics of GOA eddies, their effects on passive-dispersive particles have not been previously simulated to investigate eddy induced upwelling. A climatologically forced Parallel Ocean Program simulation of the north Pacific Ocean with an online particle tracking scheme was used to simulate passive-dispersive particles in the Gulf of Alaska. In-eddy vertical Lagrangian velocities of the particles were calculated both inside and outside the eddies and showed upwelling rates are generally greater inside the eddies where the vertical velocities of the particles ranged from 0.2 to 0.7 m/day.     

地形湿度指数算法误差的定量评价

地形湿度指数(TWI)能够定量指示地形对土壤湿度空间分布的控制,是一种应用广泛的地形属性.目前基于栅格DEM的TWI计算方法结果各异,因此有必要对'TWI算法进行定量评价.对TWI算法通常是应用实际DEM数据进行评价.但实际DEM中存在的数据源误差会干扰对算法误差的评价.针对该问题,本文介绍了一种用不含数据源误差的人造...     

密云水库周边山区滑坡泥石流易发区预估

滑坡、泥石流等地质灾害的易发度主要是地质灾害自然属性特征的体现,它与孕灾环境的各项因子密切相关。这些因子包括地形地貌、流域水文、构造等内部条件因子以及地震、降雨等外部触发因子。为突出反映滑坡及泥石流主导因子的作用,本文参考了许多研究所采用的评价方法和因子选择,重点选取对该地区滑坡及泥石流发生区域分析评价起一定主导作用的、便于研究区域数据资料与空间资料匹配、关系密切的几个指标,包括地形地貌要素(坡度、坡向、坡形、相对高差、地貌类型)、环境要素(植被指数、河网密度、洪水淹没范围)、构造要素(距断层的距离、断层密度、地质岩性),通过对这些因子的敏感性进行分析,采用专家打分方法确定每种要素及因子的权重,借助因子加权叠加办法得出研究区地质灾害易发程度空间分布,用于表示其可能发生的统计意义上的可能性(概率),该研究对于区域地质灾害预防具有一定的适用价值。     

江西西北部地形对一次大暴雨过程影响的数值模拟分析

2019年6月8—10日江西出现了一次持续的大暴雨天气过程.使用常规观测资料、FY-2G卫星TBB资料和NCEP/NCAR再分析资料,在天气尺度环流背景和中尺度系统分析的基础上,利用WRF模式对大暴雨过程进行数值模拟,分析罗霄山脉地形对此次持续暴雨过程的影响.结果表明:此次暴雨过程发生在稳定维持的"两槽一脊"环流形势下,高空西风气流、低空西南急流、沿海大槽、上游移来短波槽和近地面辐合线是大暴雨过程形成的主要天气系统.中尺度云团不断生成于江西省西北部的罗霄山脉北支和中支的迎风坡附近,受沿海大槽阻挡而缓慢东移,与系统性云团合并从而导致江西省西北部地区出现持续性强降水.湘、赣两省交界处的罗霄山脉北支和中支地形对暴雨强度有实质性的影响,去除相应罗霄山脉地形的数值试验模拟的降水量明显减少.罗霄山脉附近持续长时间的辐合线是引发此次大暴雨过程的直接中尺度天气系统,其生成与低层风场辐合、低空急流和地形均有关.受地形抬升作用,对流天气系统在地形迎风坡附近不断生成并持续向东移过江西省西北部,是造成暴雨持续的重要原因.     

Reconnaissance par sismique réfraction de la décompression et de l’instabilite des falaises vives du Bessin (Normandie,France)

Résumé

Les falaises normandes du Bessin (France) sont constituées par une succession de formations calcaires et marneuses. De nombreux mouvements de terrain, parfois de grande ampleur, affectent périodiquement ces falaises. La faible résistance mécanique des marnes, mise en évidence lors de l’étude du récent glissement du Bouffay de 1981, a dû être favorisée par un fluage associé à la décompression des calcaires sus-jacents suivant un type de déformation qui peut être observé dans un mouvement quaternaire fossilisé (vallon du Pisseau). Grâce à une reconnaissance systématique de la zone décomprimée par la petite sismique réfraction, des relations simples sont établies, permettant d’évaluer le volume décomprimé â partir des caractéristiques géométriques et lithologiques de la falaise. Ce volume semble définir l’enveloppe à l’intérieur de laquelle les mouvements sont susceptibles d’intervenir.     

华南沿海2011年7月15—18日持续暴雨过程中的季风槽与中尺度对流系统相互作用

应用NCEP FNL再分析资料及位涡分离反演等方法,对华南沿海2011年7月15—18日持续暴雨过程中季风槽与中尺度对流系统的相互作用进行了研究,主要针对暴雨发生期间季风槽气旋性涡度向上发展的机理及其对季风槽维持发展和中尺度对流系统活动的影响进行分析。结果发现,季风槽的中尺度对流系统发展于弱斜压性环境中,大多在槽东西两端涡度中心区发展最强。南侧盛行的西南低空急流为对流反复发生提供了对流发展的“可维持性”条件,是对流得以组织发展成为中尺度对流系统的重要原因。涡度收支诊断表明,季风槽气旋性涡度生成主要由中尺度对流系统低层辐合引起。位涡分离反演结果证实,季风槽气旋性环流增强主要由与中尺度对流系统潜热加热相关的扰动位涡造成,并随着中尺度对流系统加热峰值高度升高而向上发展,是大尺度环流对中尺度对流系统潜热加热动力响应的结果。在季风槽东西两端,由于中尺度对流系统发展强烈且持续,具有更高的加热效率,引起的气旋性涡度向上发展最为明显。其结果可引起中尺度对流系统西南一侧向北非地转风发展,并在地转偏向力作用下增强西风,维持低空急流的发展,为对流反复发生提供条件。这些都说明季风槽大尺度环流与中尺度对流系统相互作用在中尺度对流系统和持续暴雨形成过程中有重要作用。     

“7.30”大暴雨的数值模拟及贺兰山地形影响分析

对2012年7月30日大暴雨过程应用常规资料、中尺度数值模拟进行分析。结果表明：此次大暴雨是在大环流形势背景下,贺兰山地形对底层风场的辐合触发了中低层不稳定层结;700hPa偏南暖湿气流、850hPa切变及地面中卢尺度切变线,给短时强降水的产生与维持提供了有利的水汽和动力条件;经对贺兰山地形影响的强降水强度数值模拟,得出贺兰山地形对银川大暴雨的形成有明显的正贡献。     

A cluster-optimizing regression-based approach for precipitation spatial downscaling in mountainous terrain

Precipitation temporal and spatial variability often controls terrestrial hydrological processes and states. Common remote-sensing and modeling precipitation products have a spatial resolution that is often too coarse to reveal hydrologically important spatial variability. A statistical algorithm was developed for downscaling low-resolution spatial precipitation fields. This algorithm auto-searches precipitation spatial structures (rain-pixel clusters), and orographic effects on precipitation distribution without prior knowledge of atmospheric setting. It is composed of three components: rain-pixel clustering, multivariate regression, and random cascade. The only required input data for the downscaling algorithm are coarse-pixel precipitation map and a topographic map. The algorithm was demonstrated with 4 km × 4 km Next Generation Radar (NEXRAD) precipitation fields, and tested by downscaling NEXRAD-aggregated 16 km × 16 km precipitation fields to 4 km × 4 km pixel precipitation, which was then compared to the original NEXRAD data. The demonstration and testing were performed at both daily and hourly temporal resolutions for the northern New Mexico mountainous terrain and the central Texas Hill Country. The algorithm downscaled daily precipitation fields are in good agreement with the original 4 km × 4 km NEXRAD precipitation, as measured by precipitation spatial structures and the statistics between the downscaling and the original NEXRAD precipitation maps. For three daily precipitation events, downscaled precipitation map reproduces precipitation variance of the disaggregation field, and with Pearson correlation coefficients between the downscaled map and the NEXRAD map of 0.65, 0.71, and 0.80. The algorithm does not perform as well on downscaling hourly precipitation fields at the examined scale range (from 16 km to 4 km), which underestimates precipitation variance of the disaggregation field. For a scale range from 4 km to 1 km, the algorithm has potential to perform well at both daily and hourly precipitation fields, indicated from good regression performance.     

Footpath morphology and terrain sensitivity on high plateaux: the Mamore Mountains,Western Highlands of Scotland

Variations in the morphology of a high‐level footpath are characterized using a new approach that relates footpath morphology to six terrain units defined jointly by two contrasting plant communities (U7 grass–heath communities dominated by Nardus stricta and Carex bigelowii, and U10 moss–heath communities dominated by Carex bigelowii and Racomitrium lanuginosum) and by the contrasting textural characteristics of underlying mineral soils developed on schist, granite and quartzite. All six terrain units are characterized by distinct footpath morphologies. The most critical factor affecting footpath morphology is the shear strength of the vegetation mat and underlying root zone. Vegetation mat shear strength was measured using a specially constructed shear rake. On all three lithologies, median shear strengths for U7 communities significantly exceed those for U10 communities, so that pathways on the former are significantly narrower and deeper than those developed on the latter. Adjacent zones of damaged or modified vegetation cover are also wider on U10 communities. The role of mineral soil (regolith) texture and thus underlying lithology in controlling footpath morphology is more complex. For soils with abundant fines, granite soils have lower shearing resistance than schist soils, and are associated with wider footpaths. Footpaths are also wide on clast‐supported quartzite regolith, which has high shearing resistance: pathways are trapezoidal in cross‐section in areas of U7 vegetation cover, but footpaths are very broad and diffuse in areas of U10 cover. Pathway depths are limited by increasing shear and compressive strength with depth. Implications of these findings for further research and management strategies are discussed. Copyright © 2007 John Wiley & Sons, Ltd.     

小尺度地形因子对农地土壤质量的影响研究

地形差异是土地利用结构和空间分布格局分异的重要影响因子,也是土地质量的重要参评因素.选择泰山东麓多种地貌类型过渡区,利用数字高程模型(DEM)提取研究区坡度、高程等地形因子信息,通过GIS空间分析划分研究区农地土壤质量等级,利用SPSS统计分析高程、坡度等地形因子对土壤质量的影响.结果表明:土壤质量等级随地形变化呈规律性演替,坡度和高程与土壤质量呈极显著相关关系,且坡度对土壤质量的影响大于高程;随着坡度的上升,土壤质量分值呈抛物线趋势,而随着高程的上升,土壤质量呈降低趋势,且各高程段内不同坡度等级土壤质量分值也呈抛物线走势;土壤质量的最高分值位于坡度2°～5°、高程0～150 m的地形部位.