Estimating the settling velocity of bioclastic sediment using common grain‐size analysis techniques

Most techniques for estimating settling velocities of natural particles have been developed for siliciclastic sediments. Therefore, to understand how these techniques apply to bioclastic environments, measured settling velocities of bioclastic sedimentary deposits sampled from a nearshore fringing reef in Western Australia were compared with settling velocities calculated using results from several common grain‐size analysis techniques (sieve, laser diffraction and image analysis) and established models. The effects of sediment density and shape were also examined using a range of density values and three different models of settling velocity. Sediment density was found to have a significant effect on calculated settling velocity, causing a range in normalized root‐mean‐square error of up to 28%, depending upon settling velocity model and grain‐size method. Accounting for particle shape reduced errors in predicted settling velocity by 3% to 6% and removed any velocity‐dependent bias, which is particularly important for the fastest settling fractions. When shape was accounted for and measured density was used, normalized root‐mean‐square errors were 4%, 10% and 18% for laser diffraction, sieve and image analysis, respectively. The results of this study show that established models of settling velocity that account for particle shape can be used to estimate settling velocity of irregularly shaped, sand‐sized bioclastic sediments from sieve, laser diffraction, or image analysis‐derived measures of grain size with a limited amount of error. Collectively, these findings will allow for grain‐size data measured with different methods to be accurately converted to settling velocity for comparison. This will facilitate greater understanding of the hydraulic properties of bioclastic sediment which can help to increase our general knowledge of sediment dynamics in these environments.     

Progress in the Research on the Impact of Wind Farms on Climate and Environment

Wind power has become one of the fastest growing renewable energy. With the large-scale deployment of wind farms in the world, people have started to pay attention to the impact of wind farms on the ecological environment and climate. This paper summarized the impact of wind farms on climate and ecological environment by investigating relevant literature: In the areas of wind farms, on the one hand, the set-up of wind turbines changes original aerodynamic roughness height and strengthens the dragging of the land surface against turbulence, directly affecting the turbulent motion of the boundary layer, resulting in the changes of intensity and pattern of material energy and water vapor exchange between land surface and near-surface atmosphere, further affecting the atmospheric circulation and climate. On the other hand, wind turbines convert the majority of the wind kinetic energy into electric energy, which produces the wake effect of the wind turbine. The budget patterns and spatial and temporal distribution of large-scale kinetic energy in the boundary layer are changed correspondingly, generating changes in various fluxes (heat flux, water vapor flux, etc.) in the atmosphere, which affect temperature, precipitation, and wind speed. Generally, the warming or cooling effect of wind farms on the near-surface is related to the stability of atmosphere. However, simulations in the global climate model showed that the average impact of wind farms on global climate is small, much smaller than the expected changes in greenhouse gas emissions and the interannual changes in natural climate.Wind power emits almost no carbon dioxide and pollutants. Compared with other traditional energy sources, it reduces water consumption but may generate some negative ecological impacts such as animal habitats, bird collisions, and noise, vision impact. However, some measures can be taken to mitigate these adverse effects.     

基于原生裂隙重张试验确定围岩块体边界法向应力分布规律研究

由于地下工程处于一定水平的地应力环境中,块体边界法向应力概化的正确与否直接关系到块体的稳定性分析结果,现通过实测途径确定块体边界法向应力的研究还较少。基于大型地下厂房块体稳定性分析,通过在块体范围及邻区不同方向布置多个钻孔,首次将原生裂隙重张试验引入到块体边界法向应力的测定,对开挖后与块体主要边界产状相近的所有原生裂隙的法向应力进行了测试,成功取得了块体边界上的法向应力状态及其空间变化规律。研究结果表明：洞室开挖完成后,块体边界应力分布不均匀,但具一定规律,垂直向表现为从浅部到深部结构面的法向应力依次增大,在水平向上,随与洞室开挖面距离的增大而增大;结构面的法向应力实测值稍小于基于围岩应力的估算值,但总体一致。该成果可为确定围岩块体的边界力学状态和应力模型简化提供参考和依据。     

新疆帕米尔跃动冰川遥感监测研究

2015年5月,新疆克孜勒苏柯尔克孜自治州阿克陶县公格尔九别峰北坡克拉牙依拉克冰川发生跃动,造成草场和部分房屋被冰体淹没,本文针对这一冰川跃动事件的发生过程进行研究.利用2013-2015年间ASTER立体像对数据监测了克拉牙依拉克冰川的冰川表面高程的变化,并利用2015年4月13日至2015年7月11日期间的LandsatOLI数据监测了冰川的表面运动速度变化.监测发现,克拉牙依拉克冰川从2015年4月13号开始活动强烈,表面运动速度呈加快趋势,2015年5月8-15日期间冰川表面运动速度达到最高水平,其最大运动速度在西支中部达到了(20.40±0.42)m·d^-1,冰川跃动达到顶峰.冰川跃动"积蓄区"位于西支冰川平衡线以下区域,跃动向下游接收区输送冰体体积约为2.4×10⁸m³,大量冰体堆积在东西支汇合口地段(海拔3100~3500m),造成了该处冰面隆起,其中最大隆起高度为(130.58±0.70)m.本文获得了西支冰川由静止期、跃动状态、恢复到稳定状态期间的冰面高程和表面运动速度变化,为本地区冰川跃动机理的研究奠定了基础.     

L波段探空仪湿度资料偏差订正及同化试验

L波段探空仪观测资料是基础资料之一,无论在天气预报还是在数值天气预报中都起着重要作用,其资料质量直接影响数值模式同化分析及降水预报准确性。通过对我国3种常用的L波段探空仪观测湿度的偏差特性比较,研发适合该仪器的偏差订正方案,并在GRAPES同化系统中加以试验应用。结果表明:L波段探空仪湿度观测资料与ECMWF再分析湿度场比较有偏干现象。多种偏差订正方案订正结果显示:湿度偏差值比订正前减小,特别是在500 hPa以上层次减小明显。在GRAPES分析同化系统中使用Vomel偏差订正方案,分析偏差减小5%;预报模式个例和连续试验中湿度观测订正后预报降水更接近实况,预报降水检验评分显著提高,故该订正方案在实际应用中表现出积极的正效果。     

气候变化对中国农业生产影响研究展望

综述了气候变化背景下中国农业气候资源、农业气象灾害(干旱、洪涝、高温热浪、低温灾害)和农业病虫害的变化趋势与规律,从农业生产潜力变化、作物种植制度变化和作物品质变化等方面阐明了气候变化对中国农业生产的影响事实,分析了气候变化对中国农业生产的可能影响和中国农业生产适应气候变化的对策措施。在此基础上,针对气候变化背景下中国气候资源的时空分布特点及农业生产出现的新情况、新问题,指出了当前中国关于气候变化对农业影响研究存在的不足,提出了未来气候变化对中国农业生产影响研究需要重视的方面,为确保气候变化背景下中国的农业生产安全及粮食安全提供决策支持。     

气候变化对重庆农业的影响及对策研究

本文分析了重庆市气候特点及其对重庆农业的影响;并在全球气候变暖的大气候背景下,分析了重庆气候的变化趋势,并就气候变化对重庆农业可能造成的影响进行了初步的探讨;提出了重庆农业应对气候变化的适应性战略和技术措施。     

水平离散网格与大气运动

从线性浅水方程组出发,在Arakawa A-E网格和z网格上,从频率和群速方面讨论了这六种网格对大气中的两种重要的波动：惯性重力波和Rossby波的描述能力。结果表明：C、z、E网格比其它网格产生的歪曲都要小。     

近30年东北春玉米发育期对气候变化的响应

基于1981—2010年东北地区55个农业气象观测站发育期数据、16个气象站逐日气象资料,采用趋势变率、秩相关分析、主成分分析和结构方程模型等方法,分析了近30年东北春玉米关键发育期的变化特征,探讨了春玉米发育期对不同时间尺度气象因子的响应规律。结果表明:1981—2010年春玉米关键发育期 (播种期、抽雄期、成熟期) 均有延后趋势,大部分地区春玉米生长前期 (播种期—抽雄期) 日数减少,生长后期 (抽雄期—成熟期) 日数增加,全生育期日数增加。在绝大多数年份,春玉米播种期在温度适播期之后,成熟期在初霜日之前。近30年对东北春玉米生育期日数影响最大的气象要素为温度,主成分分析结果显示,年际尺度的升温、温度生长期的延长和作物生长期的高温对生育期日数影响显著;结构方程模型指出,作物生长期的最高温度和最低温度对生育期日数影响有间接效应,主导气象要素能够解释生育期日数变异的44%。全球变暖背景下,东北春玉米发育期变化是作物响应气候变化和农业生产适应气候变化的共同结果。     

单个粘土体裂缝中水流规律的研究

通过模型实验,研究粘土体裂缝中的水流规律,提出了临界水位上升速度的概念。水位上升速度大于临界值时,裂缝中水流量增加,反之则减少。裂缝水流量与水位不呈正比关系。指出粘土裂缝中最大水流量要比相同条件下基岩裂缝水流量小30—40倍。随着水流运动的延续,水流量将逐渐变小。在水流作用下,粘土裂缝宽度将变窄3.0—4.0cm,裂缝深度也大幅度变浅到裂缝水深的50％以上。