GNSS-MR技术用于雪深探测的初步研究

全球导航卫星系统干涉反射测量（global navigation satellite system-interferometric reflectometry,GNSS-IR）技术能探测浅层地表的土壤湿度。针对多系统组合的土壤湿度反演问题,基于轨迹聚类方法,从全球定位系统(global positioning system,GPS)、北斗卫星导航系统（BeiDou satellite navigation system,BDS）、格洛纳斯(GLONASS)、伽利略（Galileo）导航系统的信噪比观测数据中提取多径干涉相位,利用经验模型求解轨迹聚类后的土壤湿度估计值,以加权平均方式得到系统组合后的估计结果。结果表明,BDS、Galileo反演精度相当且优于GPS、GLONASS,基于轨迹聚类的多系统组合土壤湿度估计方法的均方根误差为0.041 4 cm³/cm³,相比于单系统的综合反演精度提升约16.3%,相比于单系统的最佳频段反演精度提升约5.2%,所提方法能有效监测土壤湿度的变化。

     

近20年华北地区土壤水储量变化趋势及水分管理与调配对策

从35个台站土壤湿度实测资料出发,探讨了近20年华北地区土壤水储量变化趋势及时空特征。结果表明:全区年平均0~50 cm土壤水储量总体呈减少趋势,但区域差异明显。土壤变干最显著的两个中心区域分别为京津塘地区和山西西部,次显著中心为内蒙古东部。在0~50 cm深度范围内,从地表面开始,随深度增加,土壤水储量的减少幅度逐渐增加,且季节特征明显,即春秋季减少幅度大于夏冬季。各分区土壤水储量的变化趋势呈现出显著的年代际特征,就0~50 cm土壤水储量而言,各分区存在一个共同特点:1995~2002年均呈明显的波动下降变化趋势。土壤变干的趋势,对华北地区农业和生态具有一定的不利影响,因此结合区域实际提出相应的水分管理与调配措施。     

植被覆盖地表主动微波遥感反演土壤水分算法研究

主动微波遥感监测土壤水分具有全天时、全天候并对地物有一定的穿透能力等特点,突破了传统测量方法和光学遥感获取土壤水分的局限。文中在分析植被对微波信号影响的基础上,总结了当前国内外基于主动微波遥感监测植被覆盖地表土壤水分的原理和方法,指出利用,宋朝景“水-云模型”从总的极化雷达后向散射中去除植被影响后,能够改进后向散射系数和土壤含水量之间的关系。最后利用ENVISAT ASAR数据,结合实地采样获得的土壤含水量数据拟合两者之间的关系,结果表明农作物覆盖地表土壤水分变化的估算算法还需要进一步发展和改进以提高反演精度。     

Assimilation of ASAR data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture

The most promising approach for studying soil moisture is the assimilation of observation data and computational modeling.However,there is much uncertainty in the assimilation process,which affects the assimilation results.This research developed a one-dimensional soil moisture assimilation scheme based on the Ensemble Kalman Filter(EnKF)and Genetic Algorithm(GA).A two-dimensional hydrologic model-Distributed Hydrology-Soil-Vegetation Model(DHSVM)was coupled with a semi-empirical backscattering model(Oh).The Advanced Synthetic Apertture Radar(ASAR)data were assimilated with this coupled model and the field observation data were used to validate this scheme in the soil moisture assimilation experiment.In order to improve the assimilation results,a cost function was set up based on the distance between the simulated backscattering coefficient from the coupled model and the observed backscattering coefficient from ASAR.The EnKF and GA were used to re-initialize and re-parameterize the simulation process,respectively.The assimilation results were compared with the free-run simulations from hydrologic model and the field observation data.The results obtained indicate that this assimilation scheme is practical and it can improve the accuracy of soil moisture estimation significantly.     

土壤含水量对桉树幼苗生长及生物量分配的影响

以尾叶桉U6无性系为研究材料,盆栽于土壤含水量分别为田间持水量的100%(Ⅰ)、80%(Ⅱ,CK)、60%(Ⅲ)和40%(Ⅳ)条件下30 d,研究不同土壤含水量对桉树幼苗生长和生物量分配的影响.结果表明:不同土壤含水量显著影响桉树幼苗的生长和生物量分配.与对照组相比,60%和40%土壤含水量下桉树幼苗的株高、地径、叶片数、叶面积、根长和侧根数分别减少37.8%、33.6%、52.1%、68.9%、44.0%、37.5%和44.4%、40.4%、60.8%、77.5%、51.6%、48.9% ;总生物量、根、茎、叶生物量分别减少53 .5%、22.4%、57.9%、62.0%和63.9%、26.2%、59.7%、78.9% .100%土壤含水量下上述各项指标值均有所增加,说明桉树幼苗仍有一定增长潜力,然其水分利用效率不高,生产上不实用.水分亏缺使桉树幼苗倾向于将更多的资源分配给根系生长,增大根/茎比,降低其利用价值.     

基于附有限制条件的多项式模型建立中国区域电离层模型

利用IGS站的实测数据,采用最小二乘多项式模型建立中国区域电离层延迟模型。由于该模型各时段间连续性不强,故对其附加时空域上的限制条件。结果表明,附有限制条件的多项式模型保证了模型的连续性,在一定程度上能更好地反映电离层随时间的变化特性。采用该模型,研究分析中国区域电离层的周日、季节变化特性。     

基于Sentinel-1和Sentinel-2协同反演干旱区地表土壤水分--以格尔木河中下游为例

摘要：土壤水分是全球水循环的重要组成成分,对研究土壤水分的空间分布、农作物长势和产量 、气候变化、水资源时空分布等有着重要意义 。本文利用Sentinel（哨兵）系列主动微波雷达卫星SAR（Sentinel-1）结合光学卫星（Sentinel-2）对格尔木中下游低矮植被覆盖下的地表土壤水分进行反演研究, 探讨不同极化组合方式和水云模型前后的土壤水分含量反演方法的适用性。结果表明：其中VV (VV Polarization) 极化对比VH (VH Polarization) 极化更加适用该区域,VV极化结合归一化水指数 (NDWI）反演地表土壤水分精度达到42.6%,拟合精度最高,VH极化仅为22.6%;利用水云模型去除植被覆盖后对地表土壤水分的反演精度有所提升,其中,VV极化精度提高约3.5%,VH极化提高1.5%;Sentinel系列卫星影像对于干旱区的土壤水分的反演具有较好的适用性。本文旨在探索一种适用于该研究区乃至柴达木盆地土壤水分实现大面积实时监测的可靠依据和手段。     

真空预压加固区硬壳层的水分运移解析解

本文根据非饱和土体的渗流理论,建立水分运移模型,研究真空预压在稳态下的水分运移机制,给出了孔隙水压力分布的控制方程及其解析解。根据工程实测数据验证解析解的结果,并对不同参数进行分析。结果表明：稳态下真空预压水分运移模型计算的结果和现场实测数据基本吻合。扩散通量Q和降饱和系数?对上层非饱和区域的形成位置、强度及厚度的影响较大。扩散通量Q越大,土体表层的基质吸力越大,孔隙水压力变化趋势就越大;降饱和系数?在0.3~1.0 kPa-1内对非饱和土体部分基本没有影响。     

鄂尔多斯盆地煤田区铀矿成矿地质条件

正21世纪初,随着铀矿勘查工作的不断深入,在北方主要含煤盆地取得铀矿找矿重要进展,鄂尔多斯盆地是我国中生代典型大型内陆沉积盆地之一,其铀源条件、构造条件、含铀建造、水动力条件等显示了较好的铀矿找矿前景(焦养泉等,2015)。尤其是近10年来,"煤铀兼探"和利用煤田资料"二次"开发技术在鄂尔多斯盆地煤田勘查区开展砂岩型铀矿地质调查工作,取得了一系列选区和找矿的重要进展,圈定一批重要铀矿成矿远景区和找矿靶     

A longer-term perspective on soil moisture,groundwater and stream flow response to the 2018 drought in an experimental catchment in the Scottish Highlands

The drought of summer 2018, which affected much of Northern Europe, resulted in low river flows, biodiversity loss and threats to water supplies. In some regions, like the Scottish Highlands, the summer drought followed two consecutive, anomalously dry, winter periods. Here, we examine how the drought, and its antecedent conditions, affected soil moisture, groundwater storage, and low flows in the Bruntland Burn; a sub-catchment of the Girnock Burn long-term observatory in the Scottish Cairngorm Mountains. Fifty years of rainfall-runoff observations and long-term modelling studies in the Girnock provided unique contextualisation of this extreme event in relation to more usual summer storage dynamics. Whilst summer precipitation in 2018 was only 63% of the long-term mean, soil moisture storage across much of the catchment were less than half of their summer average and seasonal groundwater levels were 0.5 m lower than normal. Hydrometric and isotopic observations showed that ~100 mm of river flows during the summer (May-Sept) were sustained almost entirely by groundwater drainage, representing ~30% of evapotranspiration that occurred over the same period. A key reason that the summer drought was so severe was because the preceding two winters were also dry and failed to adequately replenish catchment soil moisture and groundwater stores. As a result, the drought had the biggest catchment storage deficits for over a decade, and likely since 1975–1976. Despite this, recovery was rapid in autumn/winter 2018, with soil and groundwater stores returning to normal winter values, along with stream flows. The study emphasizes how long-term data from experimental sites are key to understanding the non-linear flux-storage interactions in catchments and the “memory effects” that govern the evolution of, and recovery from, droughts. This is invaluable both in terms of (a) giving insights into hydrological behaviours that will become more common water resource management problems in the future under climate change and (b) providing extreme data to challenge hydrological models.