Effect of climate change on water resources in the Yuanshui River Basin: a SWAT model assessment

The Yuanshui River Basin is one of the most important river basins ensuring food production and livelihoods in the Hunan and Guizhou Provinces of China. Based on digital elevation model, land use, soil, and meteorological data, the soil and water assessment tool was used to analyze the response of water resources in the basin to climate change. Specifically, the monthly runoff from the Yuanshui River Basin was simulated. Runoff measurements from the 1961–1990 series were used to calibrate model parameters, and measurements from the 1991–2010 series were used for model validation. The Nash–Sutcliffe efficiency coefficient, correlation coefficient, and water balance error were used to evaluate the simulation results; the values obtained for these parameters were 0.925, 0.929, and 2.0%, respectively, indicating that the established model can be applied successfully to runoff simulations. To evaluate the effects of climate change and human activities on runoff, 24 different climate scenarios were modeled. By comparing the model simulation results with the baseline scenario, the effects of climate change were analyzed by year, during the dry season, and during extremely dry conditions. The results showed that runoff decreased with increasing air temperature and decreasing precipitation, and that the effects of rainfall on runoff were greater than those of air temperature. Under the same baseline conditions, the effects of climate change on runoff were most pronounced during extremely dry months.     

Multi-temporal scale modeling on climatic-hydrological processes in data-scarce mountain basins of Northwest China

Previous studies showed that the climatic processes drive the streamflow of the inland river in Northwest China. However, it is difficult to quantitatively assess the climatic-hydrological processes in the ungauged mountainous basins because of the scarce data. This research developed an integrated approach for multi-temporal scale modeling the climatic-hydrological processes in data-scarce mountain basins of Northwest China by combining downscaling method (DM), backpropagation artificial neural network (BPANN), and wavelet regression (WR). To validate the approach, we also simulated the climatic-hydrological processes at different temporal scales in a typical data-scarce mountain basin, the Kaidu River Basin in Northwest China. The main results are as follows: (i) the streamflow is related with regional climatic change as well as atmosphere-ocean variability, (ii) the BPANN model well simulated the nonlinear relationship between the streamflow and temperature and precipitation at the monthly temporal scale, and (iii) although the annual runoff (AR) appears to have fluctuations, there are significant correlations among AR, annual average temperature (AAT), annual precipitation (AP), and oscillation indices, which can be simulated by equations of WR at different temporal scales of years.     

Research on mining-induced deformation and stress,insights from physical modeling and theoretical analysis

The dynamic change of mining-induced stress is the main reason for large deformation of surrounding rock. To investigate the influence of mining-induced stress and deformation is important for appropriate supportive design. It also helps to raise the safety and productivity of longwall mining operations. In this paper, Weijiagou Coal Mine in Southwest China was selected as the case study. In order to research on the deformation and breakage of overlying strata, physical modeling test was carried out on the self-developed rotatable physical similar test system. By using digital image correlation (DIC) technique, the deformation of strata and development of cracks in the process of coal seam excavation were acquired, meanwhile, mining-induced stress was also monitored by pressure cell and strainmeter. According to the mechanical structure of stope, the height of the destressed zone has a significant influence on stress distribution. In order to minimize the discrepancy between the physical model test and theoretical analysis, the dimension of the plastic zone of roadway was added into the mining panel width, and the gap between the experimental and theoretical results reduced.     

华夏陆块钠质高镁玄武岩地球化学特征及地质意义

赣州盆地位于钦杭(钦州—杭州)结合带南侧华夏陆块西部,由晚白垩世早期红色碎屑沉积岩系组成,其底部夹有一套玄武岩,全岩Si O_2含量为46.50%~48.13%,具有钠质高镁特征(Mg O=15.47%~18.24%,Mg~#=74~77,K_2O/Na_2O=0.22~0.39)。稀土元素配分型式表现出轻稀土富集右倾,没有明显的Eu异常的特点,表明岩浆没有明显的斜长石分离结晶作用;微量元素上富集大离子亲石元素,高场强元素特别是Ta、Nb、Ti亏损不明显,Cr、Ni的含量分别为235×10~(-6)~617×10~(-6)、157×10~(-6)~493×10~(-6),与原生岩浆的Cr、Ni含量接近,Ba/Nb值(13.51~23.18)和La/Nb值(0.82~1.03)表明源区有富集地幔组分;Sr—Nd—Pb—O同位素显示出源区性质具有EMⅡ型富集地幔特征。岩石学和地球化学特征表明,玄武岩具有原生岩浆性质,是富集地幔部分熔融的产物。同时为中生代华夏陆块EMⅡ型岩石圈地幔提供了准确的证据。由赣州盆地晚白垩世构造背景和构造环境判别图解可知,本区玄武岩形成于板内拉张环境,可能与古太平洋俯冲条件的转变有关。     

斥水性土壤水分入渗试验和模型

为研究斥水性土壤水分入渗规律,并探寻适用于斥水性土壤水分入渗的数学模型,以妫水河流域亲水性和斥水性土壤为研究对象,开展室内一维垂直土柱入渗试验;分别采用Kostiakov分段函数、Fourier级数、一阶Gaussian函数以及Gaussian分段函数对斥水性土壤入渗率进行拟合。试验结果表明:亲水性土壤入渗率随时间呈单调减小变化趋势,斥水性土壤入渗一段时间后累积入渗量会出现翘尾现象,入渗率为先增大后减小的单峰曲线。模型图形分析表明: Kostiakov分段函数入渗率在拐点处同时存在一个极大值和极小值,Fourier级数存在多个波峰,一阶Gaussian函数不能反映入渗率在拐点后大于拐点前的试验现象,因而均难以真实反映斥水性水分入渗过程。忽略水分开始快速入渗过程,Gaussian分段函数模型不仅能够反映入渗率在拐点前的单调增以及拐点后的单调减过程,同时也能够体现入渗率在拐点后大于拐点前的试验现象。     

桂林毛村岩溶区与碎屑岩区檵木和马尾松凋落叶分解研究

为探究岩溶生态环境对凋落叶分解的影响,选用碎屑岩区相同树种作为对比,运用凋落物分解网袋法研究其凋落物分解初期动态,研究结果表明:（1）岩溶区檵木和马尾松凋落叶分解速率总体上均小于碎屑岩区相同树种凋落叶分解速率;（2）凋落叶分解速率k与凋落叶初始养分碳含量呈显著负相关（P<0.05）,与木质素含量呈极显著负相关（P<0.01）;（3）在凋落叶分解过程中,各养分释放规律具有一定的差异,凋落叶养分元素碳在分解过程中呈现出净释放;（4）岩溶区树种的碳释放速率比碎屑岩区慢,说明岩溶区两树种的凋落在一定程度上延长了C的循环周期      

Comparison of two types of persistent heavy rainfall events during sixteen warm seasons in the Sichuan Basin

本文筛选出四川盆地西部(盆西型)和盆地东部(盆东型)持续性暴雨个例,深入对比两类持续性暴雨的大气环流特征和直接造成持续性暴雨的西南低涡维持的机理.四川盆地的短波槽和西太平洋副热带高压的配置有利于持续性暴雨的维持,盆东型的降水强度较盆西型个例强,高空急流位置偏南,南亚高压的强度更强,高层辐散更强,对流层中层副热带高压偏东偏南.盆西型的水汽输送主要来自南海,而盆东型的水汽输送主要来自南海和孟加拉湾.合成涡度收支的结果表明散度项是两类持续暴雨中西南涡维持的主要原因,但盆西型中,垂直平流的作用更强.     

大范围复杂三维场景并行绘制实时帧同步技术

针对复杂三维模型在实时绘制过程中的帧同步策略,该文提出改进。基于Windows集群开发了一种sort-first数据分布式体系结构的并行图形绘制系统;基于缓存交换技术提出一种多路并行的帧同步算法来提高集群的通信效率。在Windows集群系统上进行了验证实验,结果表明:(1)该算法较大程度地提高了集群的帧同步性能并缩短了同步重建时间;(2)集群并行系统有效地完成了大范围复杂三维GIS场景的流畅绘制显示。     

Position-domain integrity risk-based ambiguity validation for the integer bootstrap estimator

Integrity monitoring for ambiguity resolution is of significance for utilizing the high-precision carrier phase differential positioning for safety–critical navigational applications. The integer bootstrap estimator can provide an analytical probability density function, which enables the precise evaluation of the integrity risk for ambiguity validation. In order to monitor the effect of unknown ambiguity bias on the integer bootstrap estimator, the position-domain integrity risk of the integer bootstrapped baseline is evaluated under the complete failure modes by using the worst-case protection principle. Furthermore, a partial ambiguity resolution method is developed in order to satisfy the predefined integrity risk requirement. Static and kinematic experiments are carried out to test the proposed method by comparing with the traditional ratio test method and the protection level-based method. The static experimental result has shown that the proposed method can achieve a significant global availability improvement by 51% at most. The kinematic result reveals that the proposed method obtains the best balance between the positioning accuracy and the continuity performance.     

山东淄博金岭杂岩体分布区深部富铁矿资源潜力及找矿方向

深部找矿是目前研究和勘查的热点领域.金岭杂岩体侵入于古生代灰岩中,是燕山运动晚期的产物,与其有关的铁成矿作用是内生铁成矿典型事件之一,形成了金岭富铁矿集区.矿集区目前已发现铁矿体主要分布在-500 m以浅,矿山开采面临资源枯竭的严峻形势,深部找矿亟待突破.区内矿体按赋存介质及空间分布可划分为岩体/地层接触带式、假整合/层间裂隙式、岩体内捕虏体式三种型式.重、磁、电、地综合指示,其深部和外围依然具有优越的矽卡岩型富铁成矿条件,有利找矿深度可延伸至1.3 km,资源潜力大.通过可控源音频大地电磁测深、重磁反演技术对深部和外围成矿地质体的反映,优选出了研究区深部和外围的主要有利找矿区,分别建立了金岭杂岩体两侧矽卡岩型富铁矿地质地球物理综合找矿模型,以期为实现研究区深部和外围找矿发现及相似区域的找矿工作提供理论指导.