温度对发头裸腹溞(Moina irrasa)种群动态和两性生殖的影响

在食物浓度为4×105 cells/ml栅藻的条件下,研究了4种温度(15、20、25、30～C)对发头裸腹溞种群动态及两性生殖的影响.结果表明,在4种温度下,发头裸腹涵种群密度在实验初期逐渐增大,达到密度最大值后呈现下降的趋势.随着温度的升高,发头裸腹溞成熟时间、首次产幼溞时间以及达到最大种群密度所需时间均缩短,但母...     

三峡水库蓄水前后长江中下游流量频率分布特征及其对洪水造床作用的影响

三峡水库蓄水前后长江中下游流量特征变化及其对造床作用的影响一直受到学者的关注.采用枝城等6个水文站日均流量资料,分别统计了各站流量的经验频率分布,检验了8种概率密度函数的适用性,并讨论了三峡水库蓄水前后流量频率分布特征与造床流量的关系.研究表明:长江中下游干流洪中枯各级流量的频率分布具有分段特性,无法用皮尔逊Ⅲ型或对数...     

曲靖非相干散射雷达电离层F区日间电子温度变化特征初步分析

利用曲靖非相干散射雷达2017-2018年春夏季观测数据首次分析了电离层日间150~450km电子温度的地方时与高度变化特征及其与电子密度的相关性.发现hmF2及以上的电子温度在日出日落时具有两个峰值,在11∶00-16∶00LT之间变化较小,高度越高午后上升的时间越早;从150km开始迅速增加,在约220km达到最大值,然后开始降低,在约300~350km达到最小值,最后单调上升;200km以下电子温度与电子密度成正相关(主要由热传导控制),200~450km之间存在明显的反相关(光电离过程占主导),电子-离子温度差与电子密度对数之间存在近似线性关系,电子温度逐日变化与光电离因子的变化趋势相似,这种相关性在中午与午后更明显;以上结果与其他非相干散射雷达观测和电离层模型计算结果基本一致,但也存在一些差别,需要结合更多数据深入分析.     

堤防隐患探测实例分析

在堤防隐患探测中，采用地质雷达、高密度电法、电测深法、地震折射波法等综合物探技术，并结合少量的土工试验资料，提高了物探成果的可靠性和实用性，取得了良好的应用效果．为堤防隐患探测提供了新的思路。     

低空急流与阿勒泰暖区大--暴雪

分析了冬季产生新疆低空急流的大型环流特征及低空急流与阿勒泰暖区大-暴雪的关系。结果表明，在中高纬度欧亚范围内呈现“双阻型”，中亚中纬度高空维持纬向强急流锋区的情况下，若有巴尔喀什湖以南的暖湿气流向北输送，则有利于造成阿勒泰暖区大-暴雪的新疆低空急流产生。高低空急流的位置及强度可作为降雪量和大-暴雪落区的短期预报指标。     

人工增雪对冬麦冻害的影响

自１９７８年以来，在新疆北部沿天山一带对冬季层状云飞机播撒碘化银、干冰等冷云催化剂进行人工增雪作业，对１８个非播云年和１７个播云年的冬麦冻害做了对比，在播云期内冬小麦年平均冻害面积减少８０％以上。对３个主要因素（麦种改良、冬季气温升高和人工增雪）进行了分析，结果表明，人工播云是一个主要的因素。     

中国大陆密度和地震波速扰动异常的年龄属性研究

大陆动力学研究需要物质随空间和时间的变化的信息。三维密度和地震波速度扰动图像反映岩石圈物质的空间分布,要和大地构造学中的时间尺度信息综合起来,才能恢复动力学作用的过程。本文通过对比不同构造期的构造图和地壳不同深度的地球物理性质图像,研究中国大陆密度以及地震波速度扰动和构造事件的相关度。研究表明,岩石圈地幔的密度和波速扰动和现今板块构造的相关度是高的,说明岩石圈地幔的密度大黏度高,不仅地震波速快得多,物质蠕动的速度也比下地壳慢得多,板块运动产生的变形保存时间比较久。中国大陆中地壳的密度扰动和白垩纪以来的构造事件的相关度是高的,说明中地壳的密度扰动主要反映了白垩纪以来的构造事件。中国大陆上地壳结晶基底的密度扰动和侏罗纪以来的构造事件的相关度是高的,说明上地壳的密度扰动可以反映燕山期的构造事件。对于中国大陆而言,下地壳的波速变化和板块构造没有明显的相关性;不过下地壳深层的密度扰动也反映新构造期的构造事件。其原因可能是因为下地壳的物质黏度比较低,物质蠕动的速度比岩石圈地幔快得多,板块运动产生的变形不容易保存。总之,应用不同深度的密度扰动图像分别推测不同地质时期的地壳构造运动发生的地点和范围是可...     

北极河流径流量变化及影响因子分析

利用最新的北极径流资料(R-arcticNET V3.0和Arctic RIMS),对进入北冰洋的4条主要河流的季节及年代际变化进行诊断分析。结果表明:入海径流在4-6月的大幅增加主要是由气温达到融点后积雪融化造成的,降水的作用次之。总的来说,欧亚区域在过去的70年里入海径流量是增加的,而北美区域在近30年里入海径流量是减小的,但注入北冰洋的径流总量是增大的。值得注意的是入海径流的年代际变化在不同季节增减趋势显著不同,夏季和秋季径流量减小,而其他两个季节径流量增大。进一步分析了影响入海径流变化的一些气候因子,结果表明:北大西洋涛动(北太平洋指数)与欧亚(北美)区域的冬、春季径流量存在正相关。春季气温与春季径流量呈正相关,而与夏季径流量呈负相关。降水与径流量基本上为同步正相关。春季积雪覆盖面积与春季径流量为负相关,而与夏季径流量为正相关,夏季积雪覆盖面积与夏季的径流量为正相关。     

Bulk density effects on soil hydrologic and thermal characteristics: A numerical investigation

Soil bulk density (ρ_b) is commonly treated as static in studies of land surface dynamics. Magnitudes of errors associated with this assumption are largely unknown. Our objectives were to (a) quantify ρ_b effects on soil hydrologic and thermal properties and (b) evaluate effects of ρ_b on surface energy balance and heat and water transfer. We evaluated 6 soil properties, volumetric heat capacity, thermal conductivity, soil thermal diffusivity, water retention characteristics, hydraulic conductivity, and vapour diffusivity, over a range of ρ_b, using a combination of 6 models. Thermal conductivity, water retention, hydraulic conductivity, and vapour diffusivity were most sensitive to ρ_b, each changing by fractions greater than the associated fractional changes in ρ_b. A 10% change in ρ_b led to 10–11% change in thermal conductivity, 6–11% change in saturated and residual water content, 49–54% change in saturated hydraulic conductivity, and 80% change in vapour diffusivity. Subsequently, 3 field seasons were simulated with a numerical model (HYDRUS‐1D) for a range of ρ_b values. When ρ_b increased 25% (from 1.2 to 1.5 Mg m^?3), soil temperature variation decreased by 2.1 °C in shallow layers and increased by 1 °C in subsurface layers. Surface water content differed by 0.02 m³ m^?3 for various ρ_b values during drying events but differences mostly disappeared in the subsurface. Matric potential varied by >100 m of water. Surface energy balance showed clear trends with ρ_b. Latent heat flux decreased 6%, sensible heat flux increased 9%, and magnitude of ground heat flux varied by 18% (with a 25% ρ_b increase). Transient ρ_b impacted surface conditions and fluxes, and clearly, it warrants consideration in field and modelling investigations.     

Assimilating snow observations to snow interception process simulations

Snow interception is a crucial hydrological process in cold regions needleleaf forests, but is rarely measured directly. Indirect estimates of snow interception can be made by measuring the difference in the increase in snow accumulation between the forest floor and a nearby clearing over the course of a storm. Pairs of automatic weather stations with acoustic snow depth sensors provide an opportunity to estimate this, if snow density can be estimated reliably. Three approaches for estimating fresh snow density were investigated: weighted post-storm density increments from the physically based Snobal model, fresh snow density estimated empirically from air temperature (Hedstrom, N. R., et al. [1998]. Hydrological Processes, 12, 1611–1625), and fresh snow density estimated empirically from air temperature and wind speed (Jordan, R. E., et al. [1999]. Journal of Geophysical Research, 104, 7785–7806). Automated snow depth observations from adjacent forest and clearing sites and estimated snow densities were used to determine snowstorm snow interception in a subalpine forest in the Canadian Rockies, Alberta, Canada. Then the estimated snow interception and measured interception information from a weighed, suspended tree and a time-lapse camera were assimilated into a model, which was created using the Cold Regions Hydrological Modelling platform (CRHM), using Ensemble Kalman Filter or a simple rule-based direct insertion method. Interception determined using density estimates from the Hedstrom-Pomeroy fresh snow density equation agreed best with observations. Assimilating snow interception information from automatic snow depth measurements improved modelled snow interception timing by 7% and magnitude by 13%, compared to an open loop simulation driven by a numerical weather model; its accuracy was close to that simulated using locally observed meteorological data. Assimilation of tree-measured snow interception improved the snow interception simulation timing and magnitude by 18 and 19%, respectively. Time-lapse camera snow interception information assimilation improved the snow interception simulation timing by 32% and magnitude by 7%. The benefits of assimilation were greatly influenced by assimilation frequency and quality of the forcing data.