A new concept for estimating the influence of vegetation on throughfall kinetic energy using aerial laser scanning

Soil loss caused by erosion has enormous economic and social impacts. Splash effects of rainfall are an important driver of erosion processes; however, effects of vegetation on splash erosion are still not fully understood. Splash erosion processes under vegetation are investigated by means of throughfall kinetic energy (TKE). Previous studies on TKE utilized a heterogeneous set of plant and canopy parameters to assess vegetation's influence on erosion by rain splash but remained on individual plant- or plot-levels. In the present study we developed a method for the area-wide estimation of the influence of vegetation on TKE using remote sensing methods. In a literature review we identified key vegetation variables influencing splash erosion and developed a conceptual model to describe the interaction of vegetation and raindrops. Our model considers both amplifying and protecting effect of vegetation layers according to their height above the ground and aggregates them into a new indicator: the Vegetation Splash Factor (VSF). It is based on the proportional contribution of drips per layer, which can be calculated via the vegetation cover profile from airborne LiDAR datasets. In a case study, we calculated the VSF using a LiDAR dataset for La Campana National Park in central Chile. The studied catchment comprises a heterogeneous mosaic of vegetation layer combinations and types and is hence well suited to test the approach. We calculated a VSF map showing the relation between vegetation structure and its expected influence on TKE. Mean VSF was 1.42, indicating amplifying overall effect of vegetation on TKE that was present in 81% of the area. Values below 1 indicating a protective effect were calculated for 19% of the area. For future work, we recommend refining the weighting factor by calibration to local conditions using field-reference data and comparing the VSF with TKE field measurements. © 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd     

基于分段副产物瞬时选择性的反应器网络综合

针对第三类反应体系的反应器网络综合问题,提出将串联反应以反应物到目的产物的反应步数为依据的新分段策略。通过比较不分段目的产物、不分段目的产物和中间产品、分段副产物和分段目的产物这四种不同的瞬时选择性,提出以分段副产物瞬时选择性为参数,以其对关键组分浓度或转化率的导数为依据选择各阶段最合适的反应器,以目的产物总选择性最大为目标采用遗传算法优化反应器网络。通过三个实例验证了本文所建立方法在解决复杂反应反应器网络综合问题的有效性,且本方法同样适用于简单反应体系。     

Melt migration and melt-rock reaction in the Alpine-Apennine peridotites:Insights on mantle dynamics in extending lithosphere

The compositional variability of the lithospheric mantle at extensional settings is largely caused by the reactive percolation of uprising melts in the thermal boundary layer and in lithospheric environments.The Alpine-Apennine(A-A)ophiolites are predominantly constituted by mantle peridotites and are widely thought to represent analogs of the oceanic lithosphere formed at ocean/continent transition and slow-to ultraslow-spreading settings.Structural and geochemical studies on the A-A mantle peridotites have revealed that they preserve significant compositional and isotopic heterogeneity at variable scale,reflecting a long-lived multi-stage melt migration,intrusion and melt-rock interaction history,occurred at different lithospheric depths during progressive uplift.The A-A mantle peridotites thus constitute a unique window on mantle dynamics and lithosphere-asthenosphere interactions in very slow spreading environments.In this work,we review field,microstructural and chemical-isotopic evidence on the major stages of melt percolation and melt-rock interaction recorded by the A-A peridotites and discuss their consequences in creating chemical-isotopic heterogeneities at variable scales and enhancing weakening and deformation of the extending mantle.Focus will be on three most important stages:(i)old(pre-Jurassic)pyroxenite emplacement,and the significant isotopic modification induced in the host mantle by pyroxenite-derived melts,(ii)melt-peridotite interactions during Jurassic mantle exhumation,i.e.the open-system reactive porous flow at spinel facies depths causing bulk depletion(origin of reactive harzburgites and dunites),and the shallower melt impregnation which originated plagioclase-rich peridotites and an overall mantle refertilization.We infer that migrating melts largely originated as shallow,variably depleted,melt fractions,and acquired Si-rich composition by reactive dissolution of mantle pyroxenes during upward migration.Such melt-rock reaction processes share significant similarities with those documented in modern oceanic peridotites from slow-to ultraslow-spreading environments and track the progressive exhumation of large mantle sectors at shallow depths in oceanic settings where a thicker thermal boundary layer exists,as a consequence of slow-spreading rate.     

压力对辉长岩矿物反应和部分熔融影响的实验研究

本文在高温高压条件下,开展了辉长岩矿物反应与部分熔融实验,利用偏光显微镜与扫描电镜对实验样品微观结构观察,研究实验中的新生矿物与熔体的分布;通过电子探针分析熔体成分特征。实验结果表明,在低压(300MPa)条件下,静压和塑性变形实验样品中,单斜辉石以固体反应方式生成橄榄石,在高压(1300MPa)塑性实验中所有实验样品都没有发现新生矿物颗粒,这与相图中低压条件下斜长石与橄榄石稳定共存,而高压下斜长石-辉石稳定共存相吻合。高压塑性变形条件下,单斜辉石和黑云母首先发生部分熔融,随着温度增高,斜长石逐渐参与熔融,熔体呈薄膜状分布在矿物颗粒边界,熔体成分依赖于参与熔融的矿物成分,表明出现的熔体为非平衡熔融结果。     

元素分析仪-同位素比值质谱测量碳氮同位素比值最佳反应温度和进样量的确定

沉积有机质的碳氮稳定同位素值是进行古气候、古环境及生态系统研究不可或缺的主要研究手段,目前碳氮同位素主要利用元素分析仪-同位素比值质谱(EA-IRMS)系统来测定。EA-IRMS测定过程中的反应温度及样品进样量直接影响反应物在测试中的燃烧程度,从而影响测试数据的精度。本文利用EA-IRMS技术,以标准样品为参考,在不同转化温度下测试碳氮同位素值,研究保证测试精度的最佳反应温度条件;同时,通过分析不同含氮量样品的检测限,明确了样品含氮量与最低检测限之间的关系,确定了精确测定氮同位素值的最低进样量。结果表明:反应温度对测试精度有显著影响,在碳同位素测定时,将反应温度设定为900℃或以上时测试精度均能达到±0.2‰;氮同位素测定时,反应温度须设定为950℃时测试精度才能达到±0.3‰。实验得出样品含氮量与检测限之间的线性相关性为R2=0.873,开展氮同位素测定时可根据此关系来判断和控制进样量。     

江陵凹陷新生代玄武岩水-岩反应模拟及其对富钾卤水成因的指示

关于江陵凹陷富钾卤水的物质来源和成因机理仍未查明. 对凹陷新生代玄武岩开展矿物学、岩石学、地球化学研究以及水-岩反应模拟实验,重点研究时间、温度、流体成分等对水-岩反应的影响. 结果表明,卤水具有高锂低镁的特征,说明其在成因上受到火山活动的影响;研究区岩浆发生不同程度的分异,玄武岩蚀变作用强烈,表明地下热液的交代作用强烈,玄武岩通过水-岩反应为富钾卤水矿提供了物质来源;温度是流体对元素的淋滤能力的主要控制因素,高盐度流体是各成矿元素主要的迁移载体,水-岩反应是卤水形成的重要过程.      

基岩弯曲河段洪水水流结构的试验研究

低坡度基岩弯曲河流在地质构造控制区域广泛存在（床面坡度小于5‰）,洪水对基岩弯曲河流的河床淤积与侵蚀具有较大影响,但以往研究对基岩弯曲河流的洪水动力结构认识不足。通过几何概化基岩弯曲河段,考虑Froude相似与边壁粗糙,建立基岩弯曲河道概化模型,分析洪水下的弯道水面线分布、时均流场与湍流结构特性。结果表明:在洪水流量下,弯顶上游出现最小水面横比降、凸岸水流分离、凹岸双环流发育、流速下潜且二次环流强度达到最大,在弯顶下游水面横比降达到最大并出现环流分裂;床面切应力分布于凸岸水流分离以及弯顶上游中心区域,横向动量输移集中于弯顶上游。试验结果为基岩弯曲河道中的床面侵蚀与沿程淤积提供了水动力方面的解释。     

模型揭示的浅水湖泊稳态转换影响因素分析

富营养化会导致浅水湖泊发生稳态转换,生态系统服务严重受损。磷是驱动湖泊发生稳态转换的重要环境因子,探究湖水磷浓度的变化规律是湖泊管理的关键。通过磷动力学模型,从影响湖水磷浓度的主要参数入手,探讨了每种参数变化对磷浓度的具体影响。结合前人研究结果,详细讨论了不同类型气候变化和人类活动对湖泊稳态转换时间、滞后时长、修复速率等的影响。研究认为,气候变化所导致的温度升高、光强减弱、风浪增强等和人类活动所导致的生物扰动、水位波动增强等因素变化虽不会改变湖泊稳态转换突变时间,但会推迟湖泊修复时间,造成突变阈值减小,滞后时间延长,稳态增大。在湖泊保护中要重点考虑主要外力驱动对湖泊稳态转换过程影响的区别,避免有害突变的发生。     

两个相似路径台风残余造成局地特大暴雨的成因机制和能量收支对比分析

本文利用ERA-Interim 0.5°×0.5°再分析资料、自动站小时和分钟加密资料、风云2G（FY-2G）卫星红外云图及多普勒雷达和风廓线雷达资料对2015年路径高度相似的“苏迪罗”和“杜鹃”台风在浙江沿海引发的局地特大暴雨进行对比分析。这两次降水过程都是在台风减弱为热带低压甚至残压并深入内陆远离浙江沿海后发生的。结果表明,“苏迪罗”降水过程是由低层强东南和偏南急流长时间辐合加上有利地形共同作用导致的;经向环流背景下来自季风持续的水汽输送有利于“苏迪罗”维持较长的生命史和稳定的降水。“杜鹃”残压特大暴雨的触发系统则是高纬地面冷高压底部的东东北出流南下与“杜鹃”北象限的东东南风交汇形成的中尺度倒槽;纬向环流和强盛副热带高压造成的弱引导气流及夏季风南撤和低涡卷挟造成的水汽通道断裂是“杜鹃”登陆后快速减弱为残压和降水维持时间较短的原因。两次台风降水过程中均无外部动能输送和来自有效位能的动能转换。动能收支的主要影响因子为中低层局地次网格运动间的能量转换、旋转风和散度风效应及下垫面的摩擦耗散。所以,虽然“杜鹃”的对流有效位能很小,但仍可造成强对流和特大暴雨。此外,降水过程中释放的凝结潜热造成的局地非绝热加热使气柱中显热能大量累积,促使地面中小尺度涡旋和倒槽不断加深,造成降水的增幅。     

一次梅雨暴雨的动能谱特征分析及收支诊断

利用WRF模式和NCEP再分析资料,对一次梅雨暴雨个例进行了数值模拟,基于高分辨率的模拟结果计算了水平动能谱、涡旋动能谱及辐散动能谱,诊断了动能收支谱方程。结果表明:在暴雨发展阶段,各个高度上都有中尺度动能增长,其显著增加始于中尺度低端,这导致了在中尺度波段出现谱转折特征,但在不同高度转折尺度不同;对流层高层涡旋动能大于辐散动能,平流层低层反之;不同降水阶段、不同高度和不同尺度上动能的来源不同,对流层高层,中尺度动能倾向由非线性项和气压项贡献;平流层低层,气压项的作用更为明显。