水稻灌区节水灌溉的尺度效应

探讨了节水灌溉尺度问题,指出产生节水灌溉尺度现象的原因是由于灌溉过程中回归水的重复利用.结合漳河灌区的实际,讨论了水稻种植区在不同尺度下的水平衡要素及其在节水尺度效应中的作用;说明随尺度的增大,水平衡过程变得复杂化,节水尺度效应现象也更突出.利用漳河灌区田间试验数据和灌区长系列的历史资料,分别从田间、中等、灌溉干渠和灌区共四个尺度,定量地分析了水稻节水灌溉对水分生产率以及水分利用率的影响.结果表明,节水灌溉技术的采用不仅可以提高田间尺度的灌溉水分生产率,也促进了漳河灌区灌溉水分生产率的整体上升.     

广西单季种植巴西旱稻的气候可行性研究分析

根据巴西旱稻的生物学特性及其对气候条件基本要求,从气候角度对广西单季种植巴西旱稻的可行性进行论证分析,并提出巴西旱稻高产的技术措施建议,为广西推广巴西旱稻提供决策参考。     

Understanding Perturbation on the Simplex: A Simple Method to Better Visualize and Interpret Compositional Data in Ternary Diagrams

Perturbation is an operation defined on the simplex and can be used for centering compositional data in a ternary diagram, applying objective criteria. Because a straight line in the original diagram is still astraight line in the perturbed diagram, gridlines or compositional fields defined by straight lines can easily be included in the operation. Simultaneous perturbation of data, gridlines, and/or compositional fields is shown to improve both visualization and graphical interpretation of compositions in ternary diagrams. This is illustrated by some examples using simulated as well as real data.     

华北地台北缘地球物理场特征与金属矿床预测

对华北地台北缘的地球物理场特征进行了探讨,根据重、磁异常数据反演计算了该地区的莫霍界面、居里界面、磁性界面的起伏.利用地球物理场资料和反演计算结果对该地区的构造格架和断裂进行了推断,同时预测了9个成矿远景区:(1)集宁一呼和浩特金成矿区;(2)张家口一赤城金、银多金属成矿区;(3)密云一高岭金、铜成矿区;(4)青龙一马兰庄金成矿区;(5)秦皇岛、金多金属成矿区;(6)郝家营多金属成矿区;(7)承德地区金、多金属成矿区;(8)赤峰一喀喇沁旗金成矿区;(9)宁城东金、多金属成矿区.     

南海地球物理场特征及基底断裂体系研究

南海海域主体可划分为南海北缘、中西沙、南沙南海海盆四块，各块具有明显不同的重磁场特征。反演得到的莫霍面总体趋势由陆向洋抬升，反映陆壳、拉伸陆壳、过渡壳、洋壳的分布。东沙高磁异常含一定的高频成份，与新生代玄武岩及中生代岩浆岩有关，而其低频成份可能反映了发育的下地壳高速层，南海海域断裂极为发育，可分为北东向断裂组、东西向断裂组、北西向断裂组和南北向断裂组，南海北缘、南缘均以北东向张性断裂与北西向张剪性、剪性断裂为主要格架，形成了、南北分带、东西分块”构造格局。     

Crossover from Nonlinearity Controlled to Heterogeneity Controlled Mixing in Two-Phase Porous Media Flows

We use high resolution Monte Carlo simulations to study the dispersive mixing in two-phase, immiscible, porous media flow that results from the interaction of the nonlinearities in the flow equations with geologic heterogeneity. Our numerical experiments show that distinct dispersive regimes occur depending on the relative strength of nonlinearity and heterogeneity. In particular, for a given degree of multiscale heterogeneity, controlled by the Hurst exponent which characterizes the underlying stochastic model for the heterogeneity, linear and nonlinear flows are essentially identical in their degree of dispersion, if the heterogeneity is strong enough. As the heterogeneity weakens, the dispersion rates cross over from those of linear heterogeneous flows to those typical of nonlinear homogeneous flows.     

THE ANALYSIS ON THE STATISTICAL CHARACTER OF QUIKSCAT SCATTEROMETER WINDS AND STRONG WIND FREQUENCY USING REMOTE SENSOR DATA FROM QUIKSCAT

1 INTRODUCTION Most of the conventional sea surface wind data are measurements from ships, buoys and islands, with coverage and spatial resolution far below the requirements of research and application. At present, due to limited understanding of physical processes and efficient exploitation of data, numerical prediction models have not been used as they should be, although routine procedures are able to give sea surface wind fields at the intervals of 6 hours. With the development of sp…     

济宁地区水稻生产与气象因子关系分析

利用济宁市３１年的水稻产量和气象资料，分析了水稻生产的不同气候年型、产量与气象因子的关系，找出了影响产量变异的着急时期和主导气象因子及其时间变化规律，并探讨了相应的对策措施。     

测氡法快速确定油气田边界及深度

本介绍了运用测氡法快速确定大庆××油气田边界，估算其埋藏深度试验，结果表明，该方法具有可行性和实用性。由于所做工作有限，尚属经验性探讨，还必须从理论和实践上进一步地工作，进而充实、完善它。     

Dynamic stochastic estimation of physical variables

A fundamental problem facing the physical sciences today is analysis of natural variations and mapping of spatiotemporal processes. Detailed maps describing the space/time distribution of groundwater contaminants, atmospheric pollutant deposition processes, rainfall intensity variables, external intermittency functions, etc. are tools whose importance in practical applications cannot be overestimated. Such maps are valuable inputs for numerous applications including, for example, solute transport, storm modeling, turbulent-nonturbulent flow characterization, weather prediction, and human exposure to hazardous substances. The approach considered here uses the spatiotemporal random field theory to study natural space/time variations and derive dynamic stochastic estimates of physical variables. The random field model is constructed in a space/time continuum that explicitly involves both spatial and temporal aspects and provides a rigorous representation of spatiotemporal variabilities and uncertainties. This has considerable advantages as regards analytical investigations of natural processes. The model is used to study natural space/time variations of springwater calcium ion data from the Dyle River catchment area, Belgium. This dataset is characterized by a spatially nonhomogeneous and temporally nonstationary variability that is quantified by random field parameters, such as orders of space/time continuity and random field increments. A rich class of covariance models is determined from the properties of the random field increments. The analysis leads to maps of continuity orders and covariances reflecting space/time calcium ion correlations and trends. Calcium ion estimates and the associated statistical errors are calculated at unmeasured locations/instants over the Dyle region using a space/time kriging algorithm. In practice, the interpretation of the results of the dynamic stochastic analysis should take into consideration the scale effects.