Spatiotemporal variation and driving forces of reference evapotranspiration in Jing River Basin,northwest China

Evapotranspiration is an important component of the hydrological cycle, which integrates atmospheric demands and surface conditions. Research on spatial and temporal variations of reference evapotranspiration (ET_o) enables understanding of climate change and its effects on hydrological processes and water resources. In this study, ET_o was estimated by the FAO‐56 Penman–Monteith method in the Jing River Basin in China, based on daily data from 37 meteorological stations from 1960 to 2005. ET_o trends were detected by the Mann–Kendall test in annual, seasonal, and monthly timescales. Sensitivity coefficients were used to examine the contribution of important meteorological variables to ET_o. The influence of agricultural activities, especially irrigation on ET_o was also analyzed. We found that ET_o showed a decreasing trend in most of the basin in all seasons, except for autumn, which showed an increasing trend. Mean maximum temperature was generally the most sensitive parameter for ET_o, followed by relative humidity, solar radiation, mean minimum temperature, and wind speed. Wind speed was the most dominant factor for the declining trend in ET_o. The more significant decrease in ET_o for agricultural and irrigation stations was mainly because of the more significant decrease in wind speed and sunshine hours, a mitigation in climate warming, and more significant increase in relative humidity compared with natural stations and non‐irrigation stations. Changes in ET_o and the sensitivity coefficient of meteorological variables in relation to ET_o were also affected by topography. Better understanding of ET_o response to climate change will enable efficient use of agricultural production and water resources, which could improve the ecological environment in Jing River Basin. Copyright © 2015 John Wiley & Sons, Ltd.     

Modeling spatial and temporal change of soil erosion based on multi-temporal remotely sensed data

In order to monitor the pattern, distribution, and trend of land use/cover change (LUCC) and its impacts on soil erosion, it is highly appropriate to adopt Remote Sensing (RS) data and Geographic Information System (GIS) to analyze, assess, simulate, and predict the spatial and temporal evolution dynamics. In this paper, multi-temporal Landsat TM/ETM+ remotely sensed data are used to generate land cover maps by image classification, and the Cellular Automata Markov (CA_Markov) model is employed to simulate the evolution and trend of landscape pattern change. Furthermore, the Revised Universal Soil Loss Equation (RUSLE) is used to evaluate the situation of soil erosion in the case study mining area. The trend of soil erosion is analyzed according to total/average amount of soil erosion, and the rainfall (R), cover management (C), and support practice (P) factors in RUSLE relevant to soil erosion are determined. The change trends of soil erosion and the relationship between land cover types and soil erosion amount are analyzed. The results demonstrate that the CA_Markov model is suitable to simulate and predict LUCC trends with good efficiency and accuracy, and RUSLE can calculate the total soil erosion effectively. In the study area, there was minimal erosion grade and this is expected to continue to decline in the next few years, according to our prediction results.     

考虑风能输入的抛物型缓坡方程

在Radder和Kirby发展的波浪折射绕射缓坡方程抛物型模型基础上,对这种模型进行了改进,改进后的模型除可以考虑波浪传播过程中的底摩阻损耗、非线性作用外,加入了风能输入对波浪传播的影响。基于风能输入项的波浪模型数值计算结果表明,在纯风浪情况下的计算结果与传统的风浪计算方法结果一致,在波浪传播过程中由于风的作用,将导致波高比无风作用下计算的波高大。     

配BFG蒸压加气混凝土砌块砌体基本力学性能数值模拟

将蒸压加气混凝土(AAC)砌体填充墙采用薄灰缝专用砂浆砌筑,并在灰缝中配置玄武岩纤维格栅(BFG),可以提高墙体的抗压强度和延性。为了研究配BFG的AAC砌块砌体的基本力学性能,设计了9组27个试件进行抗压和抗剪试验。在试验的基础上,首先分析了砌体的抗压和抗剪性能,给出抗压上升段本构方程和抗压、抗剪强度建议公式;其次运用ABAQUS对砌体的抗压和抗剪性能进行模拟,通过比较模拟结果与试验结果,验证了有限元模型的合理性;最后分析了模型受压时的应力-应变关系,给出抗压下降段本构方程。研究表明:荷载施加处,接触面上剪应力集中是砌体通缝抗剪破坏的主要原因;本构方程可为配BFG蒸压加气混凝土砌体填充墙抗震性能的研究提供参考。     

Comparison of cell- and vertex-centered discretization methods for flow in a two-dimensional discrete-fracture–matrix system

Simulations of flow for a discrete-fracture model in fractured porous rocks have gradually become more practical, as a consequence of increased computer power and improved simulation and characterization techniques. Discrete-fracture models can be formulated in a lower-dimensional framework, where the fractures are modeled in a lower dimension than the matrix, or in an equi-dimensional form, where the fractures and the matrix have the same dimension.     

纬度函数反解研究

如子午线曲率半径M等的地球椭球要素是纬度的函数。根据函数与反函数的定义,论证了反解的存在并导出了初等函数的反解公式,给出了CASIOfx-4800P计算器反解超越方程的计算程序。所有反解程序的正确性已为实例计算证明。     

四川盆地东部再生稻高温伏旱区腋芽萌发期气象适宜度

以四川盆地东部再生稻高温伏旱区为研究区,基于气象条件对腋芽萌发期再生稻生长发育的影响机理,采用结构方程模型探明了腋芽萌发的影响因素、影响路径及影响强度。进一步结合隶属函数和层次分析法,构建了再生稻腋芽萌发气象适宜度模型,并分析了1981—2021年研究区腋芽萌发期气象影响因素及气象适宜度的变化特征。结果表明：气温、空气湿度、降水是四川盆地东部再生稻高温伏旱区腋芽萌发的关键影响因素,基于以上因素的气象适宜度模型能较好地评价再生稻腋芽萌发期的气象影响。1981—2021年研究区气温适宜度、空气湿度适宜度及综合气象适宜度均呈下降趋势,降水适宜度没有表现出明显的变化趋势。气温适宜度、空气湿度适宜度及综合气象适宜度总体呈“西高东低”的空间分布特征,降水适宜度则表现为“东西高、中部低”。1981—2021年研究区气温上升趋势与空气湿度下降趋势显著,导致致害高温（日平均气温≥32℃）积温和致害低湿（日平均相对湿度≤65％）日数明显增加,这是再生稻腋芽萌发期气象适宜度总体呈下降趋势的诱因。     

随钻测量、随钻测井与录井工具

摆动阀泥浆脉冲器本身可以产生较高频率的载波,成为高速泥浆脉冲传输的较好选择。由于工作时负载力矩复杂,影响因素众多,为电机输出特性研究带来较大困难。利用在井下工作时的动力学平衡方程,通过水循环实验方式测量得到摆动阀电机在最大转矩比电流控制方式下的位置角度和输出电流数据,进而计算井下工作时电机输出转矩和输出功率,并对其影响因素进行综合分析。结果表明,受惯性转矩、弹性转矩和动态水力转矩的影响,电机输出转矩在不同工作频段表现为不同特征;低频段时,电机输出转矩的变化幅度随载波频率的增大而减小,输出功率随载波频率的增大而缓慢增大;中低频段时,电机输出转矩和输出功率在该频段幅度变化较小,相对比较稳定;高频段时,电机输出转矩和输出功率均随频率的增大而快速增大。可以通过增大扭杆刚度系数和降低摆动阀转子轴系转动惯量的方式降低电机在高频段的输出,以保证电机在额定转矩和额定功率下可以控制摆动阀在井下实现高频快速的摆动,产生稳定高载波频率下的泥浆脉冲压力波形,实现高频载波的目的,为随钻测井数据的高速传输提供了保障。

     

P-SV反射转换波的倾角时差校正（DMO）方法研究

倾角时差校正（ＤＭＯ）方法对于复杂地质构造条件下的纵波反射波（Ｐ－Ｐ）的多次覆盖地震数据的叠加具有显著的提高信噪比的效果．对于转换反射波（Ｐ－ＳＶ）来说,进行倾角时差校正（ＤＭＯ）处理就更需要．本文首先对Ｐ－ＳＶ波的倾角时差校正（ＤＭＯ）的几何原理进行了分析,然后重点研究用波动方程进行ＤＭＯ的方法,即Ｐ－ＳＶ转换反射波的叠前部分偏移的波动方程法．这种方法也适用于Ｐ－Ｐ反射波的叠前部分偏移处理．研究结果表明,波动方程ＤＭＯ方法在振幅保真方面比几何原理的ＤＭＯ方法有显著改善．     

On the equation of state for the Λ field

The recently detected accelerated expansion of the Universe is related to the existence of a new type of matter called the Λ field or quintessence. Constraints were obtained on its equation of state from the absence of clustering of this matter on scales much smaller than the cosmological horizon. The question of how these constraints affect the possibility of fitting the accelerated expansion by such cosmological models as the Chaplygin gas model is discussed.