Is the soil moisture precipitation feedback enhanced by heterogeneity and dry soils? A comparative study

The interaction between the land surface and the atmosphere is a crucial driver of atmospheric processes. Soil moisture and precipitation are key components in this feedback. Both variables are intertwined in a cycle, that is, the soil moisture – precipitation feedback for which involved processes and interactions are still discussed. In this study the soil moisture – precipitation feedback is compared for the sempiternal humid Ammer catchment in Southern Germany and for the semiarid to subhumid Sissili catchment in West Africa during the warm season, using precipitation datasets from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), from the German Weather Service (REGNIE) and simulation datasets from the Weather Research and Forecasting (WRF) model and the hydrologically enhanced WRF-Hydro model. WRF and WRF-Hydro differ by their representation of terrestrial water flow. With this setup we want to investigate the strength, sign and variables involved in the soil moisture – precipitation feedback for these two regions. The normalized model spread between the two simulation results shows linkages between precipitation variability and diagnostic variables surface fluxes, moisture flux convergence above the surface and convective available potential energy in both study regions. The soil moisture – precipitation feedback is evaluated with a classification of soil moisture spatial heterogeneity based on the strength of the soil moisture gradients. This allows us to assess the impact of soil moisture anomalies on surface fluxes, moisture flux convergence, convective available potential energy and precipitation. In both regions the amount of precipitation generally increases with soil moisture spatial heterogeneity. For the Ammer region the soil moisture – precipitation feedback has a weak negative sign with more rain near drier patches while it has a positive signal for the Sissili region with more rain over wetter patches. At least for the observed moderate soil moisture values and the spatial scale of the Ammer region, the spatial variability of soil moisture is more important for surface-atmosphere interactions than the actual soil moisture content. Overall, we found that soil moisture heterogeneity can greatly affect the soil moisture – precipitation feedback.     

Hydrological modelling for assessing spatio-temporal groundwater recharge variations in the water-stressed Amathole Water Supply System,Eastern Cape,South Africa

To increase the resilience of regional water supply systems in South Africa in the face of anticipated climatic changes and a constant increase in water demand, water supply sources require diversification. Many water-stressed metropolitan regions in South Africa depend largely on surface water to cover their water demand. While climatic and river discharge data is widely available in these regions, information on groundwater resources – which could support supply source diversification – is scarce. Groundwater recharge is a key parameter that is used to estimate groundwater amounts that can be sustainably exploited at a sub-watershed level. Therefore, the objective of this study was to develop a reliable hydrological modelling routine that enables the assessment of regional spatio-temporal variations of groundwater recharge to discern the most promising areas for groundwater development. Accordingly, we present a semi-distributed hydrological modelling approach that incorporates water balance routines coupled with baseflow modelling techniques to yield spatio-temporal variations of groundwater recharge on a regional level. The approach is demonstrated for the actively managed catchment areas of the Amathole Water Supply System situated in a semi-arid part of the Eastern Cape of South Africa. In the investigated study area, annual groundwater recharge exhibits a high spatio-temporal heterogeneity and is estimated to vary between ~0.5% and 8% of annual rainfall. Despite some uncertainties induced by limited data availability, calibration and validation of the model were found to be satisfactory and yielded model results similar to (point) data of annual groundwater recharge reported in earlier studies. Our approach is therefore found to derive crucial information for efficiently targeting more detailed groundwater exploration studies and could work as a blueprint for orientating groundwater potential exploration in similar environments.     

岩浆成矿体系的热演化和剥露史的数字模拟

通过对岩浆冷却过程的数字模拟研究,揭示出岩浆在冷却成矿过程中的温度分布和变化规律及影响因素．在此基础上,进一步应用高精度的温龄计组合来限定岩浆成矿体系的热演化和剥露历史,精确地计算出岩浆的初始侵位时间和深度、矿物结晶时间、冷却速率、冷却和暴露地表时间,以及剥露和剥蚀速率等重要参数,并将模拟结果应用于斑岩铜矿床的成矿研究中．研究表明,将精确的年龄测试手段与计算机模拟技术相结合,可为定量研究岩浆矿床的热演化和剥露史、深入了解矿床的成因机制提供一种有效方法．     

褶皱构造的曲率分析及其裂缝估算--以江汉盆地王场褶皱为例

曲面曲率的几何意义可以反映曲面一点邻近区域的具体形态和变形特征,因而可以用来研究褶皱层面的变形特征、构造样式及其可展性.褶皱面裂缝发育主要为一组张裂系,张裂隙走向与最大主曲率的方向垂直.褶皱构造的主曲率在一定程度上可以反映与褶皱有关的张裂隙的发育情况.对于圆柱状褶皱可以估算与褶皱有关的裂缝孔隙度和渗透率.以王场褶皱构造面为例,通过计算二次趋势面的特征值和特征向量得到褶皱构造面主曲率的大小和方向,确定该褶皱为圆柱状褶皱,并对与之相关的裂缝孔隙度和渗透率进行了估算.     

The Venusian induced magnetosphere: A case study of plasma and magnetic field measurements on the Venus Express mission

Plasma and magnetic field measurements made onboard the Venus Express on June 1, 2006, are analyzed and compared with predictions of a global model. It is shown that in the orbit studied, the plasma and magnetic field observations obtained near the North Pole under solar minimum conditions were qualitatively and, in many cases also, quantitatively in agreement with the general picture obtained using a global numerical quasi-neutral hybrid model of the solar wind interaction (HYB-Venus). In instances where the orbit of Venus Express crossed a boundary referred to as the magnetic pileup boundary (MPB), field line tracing supports the suggestion that the MPB separates the region that is magnetically connected to the fluctuating magnetosheath field from a region that is magnetically connected to the induced magnetotail lobes.     

大面积棉花长势的MODIS监测分析方法与实践

大面积棉花的生长状况监测比较复杂,目前还没有比较成熟的方法。以往遥感监测应用较多的是NOAA—AVHRR数据,监测精度和监测效果不高。本文利用新一代传感器MODIS数据,结合实测的地面农作物生长发育农学参数,系统地分析了石河子地区棉花播种到收获整个田间遥感归一化指数(NDVI)及其对应的叶而积指数(LAI)的变化规律,证明MODIS叶面积指数和实测LAI有很高的一致性,MODISIAI的变化状况与棉花长势变化基本一致,实现了较为精确的石河子地区大面积棉花长势的遥感动态监测。     

西北地区农业旱灾与预测研究

西北地区干旱灾害在中国乃至世界上具有代表性,常常对农业生产、社会经济和人民生活带来巨大威胁。利用西北五省区(陕西、甘肃、宁夏、青海、新疆)1951～2000年的50年农业旱灾面积统计资料,分析了农业旱灾的时空强度变化。表明西北地区农业旱灾有增加趋势,以20世纪90年代增加最明显。利用西北地区均匀分布的40个站点50年的降水和气温资料,采用变换的Z指数法,探讨了干旱强度和地表径流量的时间变化与西北地区农业旱害的关系。表明降水量的减少及河川径流枯期与农业旱灾面积负相关关系密切。应用波谱分析与逐步自回归方法,分别建立了西北地区干旱指数的拟合回归预测模型,农业旱灾面积、成灾面积和绝收面积预测模型,并对西北地区干旱灾害的趋势进行了预测。表明西北地区干旱灾害在21世纪前十年有所减缓。经检验,模型预测效果良好,根据预测结果可以采取有针对性的减灾措施,减少西北地区农业灾害损失。     

1960-2013年艾比湖绿洲湿地潜在蒸散量及地表湿润度变化特征分析

基于阿拉山口、精河、博乐、温泉4个气象站点1960-2013年地面观测气象数据,采用Penman-Monteith公式、Mann-Kendall检验、小波分析、主成分相关分析等方法分析艾比湖绿洲湿地年及季节潜在蒸散量及地表湿润度的特征变化及定量化成因,以期为艾比湖绿洲湿地区域的水资源科学配置提供科学依据。结果表明：（1）1960-2013年,艾比湖绿洲湿地年平均潜在蒸散量为1 063.52mm,夏季值最大为552.3 mm,冬季最小为25.3 mm,年平均潜在蒸散量以12.68 mm·（10a）^-1的速率递减,各季节潜在蒸散变化趋势与年变化一致,夏季表现最明显;（2）Mann-Kendall检验表明,年均和春、夏、秋潜在蒸散量显著性突变时间分别是1991年、1994年、1994年和1993年,冬季不存在突变,显著性突变均发生在21世纪90年代,地表湿润度年突变时间为1985年;（3）艾比湖绿洲湿地潜在蒸散量及地表湿润度存在明显的周期变化,主震荡周期分别为29 a和21 a,以多、少交替发生,具有全域性;（4）风速是年及季节潜在蒸散量的主导因素,地表湿润度变化的主导因素是降水量和相对湿度。     

我国北疆地区1961—2017年冻融指数的变化趋势

利用我国北疆地区49个主要气象站1961-2017年的逐日平均气温观测值计算了年冻融指数,并分析其变化趋势及分布特征。结果表明：北疆地区冻结指数出现明显的下降趋势,下降速率为51.6℃·d·（10a）^-1。冻结指数的范围在509~2 304.9℃·d之间,平均值为1 240℃·d。北疆地区融化指数出现明显上升趋势,上升速率为73.9℃·d·（10a）^-1。融化指数的范围在526.4~4 531.1℃·d之间,平均值为3 516℃·d。冻结指数表现出在经纬度和海拔较低的准噶尔盆地和伊宁地区较小,在海拔高的高山地区如阿尔泰山和天山山脉较大;融化指数与之相反。北疆地区冻结指数受经纬度及海拔的综合影响,融化指数则主要受海拔影响;年平均气温和冻融指数有非常强的线性关系。     

非饱和黄土地基降雨入渗离心模型试验及多物理量联合监测

对非饱和土降雨入渗过程及其致灾机制的深入认识有赖于室内外试验及多物理量联合监测。基于离心机超重力环境下土体响应监测技术,开展了非饱和黄土地基降雨入渗离心模型试验,测试研究了超重力环境对新研制的微型TDR探针及张力计测量的影响规律,并利用TDR、张力计及弯曲元对降雨入渗过程中土体响应进行多物理量联合监测。研究结果表明:在不同离心加速度下微型TDR探针与给定含水率土体实测原始波形重合,说明超重力环境对TDR测试没有影响,含水率的测试误差在2%以内。在离心机加速过程中,张力计所测吸力下降约2.0~2.9 kPa,当离心加速度稳定在40g时,所测吸力在10min内上升并接近常重力下土体初始吸力。在降雨入渗过程中,埋设在同一深度的TDR探针、张力计和弯曲元对湿润锋响应的时间点基本一致,降雨入渗导致土体含水率增加,基质吸力降低,剪切波速降低。这些多物理量监测数据有助于建立非饱和土含水率-吸力-剪切模量之间的关系。