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     

2015—2018年海南省臭氧污染特征及其天气类型

根据2015—2018年海南省18个市县32个空气质量监测站O₃浓度资料,分析了区域性O₃污染（O₃-8h浓度超标市县≥3个）时空变化特征,并对造成O₃污染的天气系统进行主观分型。结果表明：2015—2018年海南省共有40 d发生了区域性O₃污染,发生概率为2.73%。其中2015年和2017年达到了13 d,发生概率为3.56%,2018年为11 d（3.01%）,2016年仅为3 d（0.82%）。发生区域性O₃污染主要有4种天气类型：冷空气偏西下型、冷空气偏东下型、变暖高压脊型和热带系统型。其中冷空气偏西下型是最主要的天气类型,共出现了14 d,占所有天数的35%,且污染较重。不同天气类型下海南省O₃污染表现出不同的分布特征。500 hPa有下沉气流、低层受东北风控制,有相对湿度低值区从中国东部向海南省延伸,地面位于冷高压底部或热带气旋西北侧,温度露点差在5 ℃以上等条件均有利于海南省区域性O₃污染天气出现。     

基于MCI指数的福建省干旱气候特征

采用目前国家干旱监测业务实行的MCI指数,利用Morlet小波、经验正交函数（EOF）等方法,分析了福建省1961—2019年全省66个气象站MCI指数表征的干湿状况和干旱变化特征。结果表明：福建省存在明显的干湿气候特征,具有显著的6—8 a和22 a的周期振荡,内陆山区干湿变化周期比沿海长,在季节尺度上各季均存在多时间尺度和地域差异化的特点;其空间变化具有3种典型模态,反映了季风降水多寡和地形差异。MCI表征的干旱过程时空分布与历史干旱事件相吻合,秋季和冬季是福建省干旱发生频率最高的季节,春季和夏季是干旱强度最强的季节;闽江口以南沿海地区干旱发生率明显高于内陆地区,全省出现同步干旱的机率较小（12%）。     

一种裂缝流体因子的提出及应用

为了解决各向异性下的流体识别问题,将纵波各向异性裂缝预测以及Russell的流体因子融合到直角坐标系中,提出了一种能够同时检测裂缝发育情况以及流体性质的新的裂缝流体因子(Factor of Fluid-filled Fracture,FFF),并通过一组岩性参数检验了裂缝流体因子在裂缝预测及流体识别中的有效性.在理论研究的基础上,选取松辽盆地某地区的火成岩裂缝及流体识别研究为应用实例.通过与测井流体及裂缝信息的对比验证,裂缝流体因子能够较为准确地预测研究区裂缝和流体的分布情况,且裂缝流体因子在单井上的计算结果与单井含气饱和度吻合度较高.此外,根据实际应用效果,指出裂缝流体因子在应用中的局限性:裂缝流体因子在平面成图时受地层厚度影响较大,且无法预测裂缝方向.     

云南鲁甸M_S6.5地震红石岩滑坡稳定性的数值模拟

2014年8月3日鲁甸MS6.5地震触发了大量的滑坡崩塌,其中,位于鲁甸县李家山村和巧家县红石岩村交界处的牛栏江干流北岸的红石岩滑坡规模巨大,与此处位于左岸的红石岩古滑坡体的前缘部分一起堵塞了牛栏江而形成高达120m、体积达1 200×104m3的大型堰塞体。通过震后开展的野外实地调查,获得了红石岩滑坡发生处的地形地貌、地质构造、岩体结构及物质组成等资料。以这些第一手资料为基础,构建了红石岩滑坡的边坡模型,并应用边坡稳定性分析软件Geo Studio中Slope/W模块分别计算了红石岩滑坡体震前坡体安全系数和地震作用下的坡体安全系数。结果表明,红石岩滑坡体发生处的坡体安全系数在地震前为1.450,处于相对稳定状态,而鲁甸地震的地震动作用则使坡体的安全系数降低至0.962,直接导致红石岩坡体的失稳。文中进一步讨论了坡体滑动面的存在与否对坡体稳定性的影响:安全系数计算的结果表明,在中强地震作用下,先存滑动面的存在是导致大型滑坡形成的重要条件;对于高陡岩质边坡,如果没有先存滑动面,只可能形成浅表性滑坡。     

Evaluation of geochemical behavior and heavy metal distribution of sediments：The case study of the Tirumalairajan river estuary,southeast coast of India

The purpose of this study was to assess the chemical partitioning of selected heavy metals(Fe,Mn,Cu,Zn,Pb,Cr,Co and Ni) in 10 surface sediments at Tirumalairajan River Estuary in the southeastern coast of India.A five-step sequential extraction technique was used to assess the environmental status of heavy metals.Most of metals were considered to be immobile due to the high availability in the residual fraction of heavy metals.The sediments of Tirumalairajan River estuary had not been polluted by heavy metals,and they didn’t pose any high ecological risk.The seasonal variations of heavy metals were slightly higher in summer than in monsoon season.Factor analysis was also carned out to understand the associations of metals in different fractions with sand,silt,clay,organic matter,pH,salinity and other metals.The relationship between the Q-mode and R-mode cluster analyses was useful for identifying the pollution levels in both seasons.It was proved that the enrichment of heavy metals was related with geogenic and anthropogenic sources.The information on total metal concentrations in sediments was not sufficient for assessing the metal behavior in the environment,but the sequential extraction technique was more effective in estimating the environmental impact of contaminated sediments.     

Study on changes in bed characteristics and friction factor in the presence of wash load in suspension

Results of an experimental study on the effects of different concentrations of wash load on the size of bed features and resistance to flow in a laboratory flume are presented. The experiments were carried out under different hydraulic conditions in a 30 m long, 0.204 m wide and 0.5 m deep tilting flume under clear water condition and in the presence of different concentration of wash load in the flow. The bed material used consisted of uniform sediment of size 0.96 mm. Analysis of the data indicates that the characteristics of the bed features change and friction factor increases in the presence of different concentration of wash load in the flow. The reasons for changes in the characteristics of the bed features and increase in friction factor in the presence of wash load are identified and a relationship for predicting friction factor in the presence of wash load has been established.     

江西省霾天气气候特征及其与气象条件的关系

利用1980-2011年江西83个常规站和南昌、赣州2个探空站的观测资料,对江西霾的气候特征及其与气象条件的关系进行了分析。结果表明：近32 a来江西霾日总体呈上升趋势;霾日的季节、年际和年代际变化明显,秋冬季多（12月最多）春夏季少（7月最少）,4 a左右和8 a左右的年际变化周期显著,年代际变化主要为15 a左右的变化周期;江西霾日空间分布不均,呈现中北部多,南部及山区少的分布形势。霾与地面风速、大气逆温、海平面气压、降雨量和相对湿度密切相关,低风速、大气逆温、高气压、高湿度和少降雨有利于霾天气的发生,反之,高风速、低气压、低湿度和多降雨不利于霾天气的发生。     

顺层岩质边坡开挖模型试验及稳定性影响因素分析

用地质力学模型试验方法,对顺层岩质边坡进行开挖破坏试验。同时在有限元分析的基础上,采用多层结构模型对顺层岩质路堑边坡稳定性的影响因素进行了分析。指出当边坡走向与岩层走向夹角超过30后,边坡发生顺层滑动破坏的可能性很小,基本上可不视为顺层边坡。同时也阐明了岩层倾角以及结构面抗剪强度对顺层岩质边坡稳定性的影响。文中结论可为顺层岩质边坡的科研、设计和施工提供参考。     

安徽省雾、霾、晴空天气的气象条件对比分析

使用2008~2012年逐日地面观测资料,揭示了安徽不同地区雾、霾、晴空天气气象条件的差异,指出不同地区要根据本地特点建立雾、霾预报指标和预报方法。3类天气差异最大的地面气象要素是能见度和相对湿度。根据3种天气前一日和当日能见度和相对湿度分布特征,全省站点可以分为3类:1)从雾、霾到晴空,能见度递增、相对湿度递减,且差异显著,如合肥站;2)雾、霾天的能见度和相对湿度均很接近,但与晴空天差别较大,如阜阳站;3)能见度在雾、霾天无明显差别,但相对湿度在雾、霾天差异显著,如安庆站。地级市测站雾后即霾的可能性较大(大于50%),县城测站雾后即霾的可能性较低(低于25%)。垂直方向,雾时相对湿度随高度下降很快,850 h Pa中位值已降到20%(安庆)和45%(阜阳)以下,霾时相对湿度随高度下降缓慢,850 h Pa中位值仍在60%左右;另外,霾天边界层中上部风切变较小,雾天和晴空天边界层中上部都存在较大的风切变。