Spatio-temporal analysis of tree height in a young cork oak plantation

Cork oak is one of the most valuable natural forest genera in the Mediterranean basin. Modelling cork oak growth has been a challenge for foresters in recent years because of strong site and genetic influences, below-ground competition, management regimes and age effects. Because cork productivity is related to forest height, which is, in turn, related directly with site characteristics, an increase in the accuracy of height prediction implies improved productivity estimation. A Bayesian maximum entropy (BME) geostatistical model was applied to characterize the space–time pattern of height of young cork oak in a forest stand from central Sardinia in the years 2000, 2002, 2003, 2006 and 2008. Cork oak height maps were produced for each of the 5 years. The main goals were to analyse and interpret through time (i) the changes in spatial correlation and (ii) the changes in spatial distribution of cork oak height. The plantation was characterized by an increasing spatial dependence through time, whereas the temporal range was 2 years. Cork oak height was significantly correlated with wind speed (reduced by a neighbouring forest) in all the years implying a single trend. The correlations were larger for 2006 and 2008 than for previous years. Three other environmental variables (shade, elevation and slope) were less significant and their influence restricted to 2 years only. This research has several implications for the management of cork oak in the young phase.     

Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy-constrained cellular automata approach

This article presents an application of a fuzzy-constrained cellular automata model to simulate the spatio-temporal processes of urban growth in the rapidly growing Gold Coast City in Southeast Queensland, Australia. Urban growth has been captured in the model as a continuous process in space and over time, which has been affected by a set of primary and secondary transition rules. The primary transition rules deal with the propensity of a local area for development and the impact of its neighbouring cells on such development, while the secondary transition rules reflect the influences of environmental and institutional factors on urban growth. Application of the model demonstrates its re-applicability to different regions and the effectiveness of the cellular automata technique in studying urban dynamics. It also provides tools to explore sustainable urban growth options under different socio-environmental and planning control factors. A sustainable urban future of the region is achievable if development is managed to maintain a balance amongst ecological conservation, economic growth and the contemporary Australian lifestyle.     

汶川县生物多样性保育与区域发展的综合地域划分

依据生物多样性和社会经济发展方面的 2 0个指标 ,应用模糊聚类算法对汶川县的综合地域划分研究表明 ,汶川县可以划分为 4个综合地域类型 :发展主导型 (Ⅰ ) ,占县域面积的4 3% ;特色开发型 (Ⅱ ) ,占县域面积的 2 3 5 % ;发展支持型 (Ⅲ ) ,占县域面积的 6 5 % ;生态保育和限制性开发型 (Ⅳ ) ,占县域面积的 6 5 7%。县域水平上协调生物多样性保育和区域发展关系的空间策略是东西分治 ,东部 (Ⅰ、Ⅱ、Ⅲ )以社会经济发展为主 ,西部 (Ⅳ )以生态保育为主。在区域发展的产业选择上应重视产业的生态化 ,突出地域优势与特色。     

Spatial Analysis Techniques as Successful Mineral-Potential Mapping Tools for Orogenic Gold Deposits in the Northern Fennoscandian Shield,Finland

Geoscientific Information Systems (GIS) provide tools to quantitatively analyze and integrate spatially referenced information from geological, geophysical, and geochemical surveys for decision-making processes. Excellent coverage of well-documented, precise and good quality data enables testing of variable exploration models in an efficient and cost effective way with GIS tools. Digital geoscientific data from the Geological Survey of Finland (GTK) are being used widely as spatial evidence in exploration targeting, that is ranking areas based on their exploration importance. In the last few years, spatial analysis techniques including weights-of-evidence, logistic regression, and fuzzy logic, have been increasingly used in GTK’s mineral exploration and geological mapping projects. Special emphasis has been put into the exploration for gold because of the excellent data coverage within the prospective volcanic belts and because of the increased activity in gold exploration in Finland during recent years. In this paper, we describe some successful case histories of using the weights-of-evidence method for the Au-potential mapping. These projects have shown that, by using spatial modeling techniques, exploration targets can be generated by quantitatively analyzing extensive amounts of data from various sources and to rank these target areas based on their exploration potential.     

宿南矿区不同时期塌陷塘水环境质量评价

以宿南矿区不同时期形成的采煤塌陷塘(芦岭塘、朱仙庄#1塘和#2塘)为研究对象,于2017年先后采集夏季和冬季水样,运用piper三线图、相关性分析、改进模糊综合评价法等,对其水环境质量进行分析评价与比较,得到以下结论:①芦岭塘、朱仙庄#1塘夏、冬两季水化学类型均为HCO_3―Na·Mg型,朱仙庄#2塘为SO_4―Na·Mg·Ca型。②三个塌陷塘水的TDS、pH、EC变化趋势为朱仙庄#1塘>朱仙庄#2塘>芦岭塘,其季节变化趋势均为夏季>冬季; ORP变化趋势为朱仙庄#2塘>芦岭塘>朱仙庄#1塘,其季节性变化趋势为冬季>夏季。③改进的模糊综合评价结果表明,三个塌陷塘夏季水质较差,主要受人为污染影响;冬季芦岭塘、朱仙庄#1塘水质良好,受污染小;朱仙庄#2塘冬季水质与夏季相近,均较差,主要受投加鱼食料的影响。     

Reliability analysis for bearing capacity of surface strip footing using fuzzy finite element method

ABSTRACT

This paper presents the reliability analysis on the basis of the foundation failure against bearing capacity using the concept of fuzzy set theory. A surface strip footing is considered for the analysis and the bearing capacity is estimated using the conventional Finite Element Method (FEM). The spatial variability of the variables is taken into consideration to capture the physical randomness of the soil parameters for an isotropic field. A variation of the probability of failure (P_f) against a varying limiting applied pressure (q) is presented for different Coefficient of Variation (COV) of the variables and different scale of fluctuation (θ). The results reveal that the friction angle of soil (?) is the most influencing parameter among the other variables. Further, the influence of the scale of fluctuation (θ) on the probability of failure (P_f) is also examined. It is observed that for a particular COV of ?, higher value of θ predicts higher P_f whereas, P_f increases as COV of ? increases for a particular θ value. Later, a comparison study is accomplished to verify the viability of the present method and it can be noticed that the present method compares well with the other reliability method (First Order Reliability Method) to a reasonably good extent.     

压裂微震数据初至拾取的时频谱熵法

在油气田开发过程中,微震监测是获得水力压裂引起裂缝分布的一种较为有效的方法。微震的定位成像与裂缝解释需要利用有效微震信号位置,而微震信号具有低信噪比的特点,传统信号拾取方法无法有效实现较低信噪比条件下初至时刻的准确拾取。本文提出一种基于时频谱熵的初至拾取新方法,该方法首先通过S变换获取含噪信号的时频谱;然后对谱内各个采样点沿频率方向进行分帧操作,并计算每帧频段内的近似负熵值,以最小近似负熵值作为该谱点的负熵值;最后沿时间方向比较各谱点的负熵值,最小值对应的时刻即为初至时刻。本文利用不同信噪比的合成地震数据对该方法进行效果验证,并与长短时窗能量比（STA/LTA）法进行拾取结果对比,结果表明：信噪比在-5 dB时,两种方法拾取效果都很好;信噪比在-10 dB时,时频谱熵法拾取效果更好。时频谱熵法更适合低信噪比情况下的信号初至拾取。     

矿井断层构造复杂程度的GIS与熵值耦合评价研究

基于GIS与熵值耦合理论的矿井断层构造复杂程度的综合评价方法,建立了断层构造的非线性特征值、断层规模指数、煤层底板倾角指数、断层断距指数等与矿井构造复杂程度相关的评价指标体系。并以河南某矿为例,对矿井断层构造复杂程度进行多因素评价综合分区。结果显示:该矿井构造以中等和简单为主;在构造简单-中等区,构造对煤层开采基本无影响,而在构造复杂区,断层可导致水文地质条件变得较为复杂,影响煤层安全开采。     

基于微孔充填模型的页岩储层吸附动力学特征分析

微孔填充是吸附质分子在吸附剂纳微孔隙中、较高平衡压力下表现出来的一种吸附特征,以此为基础发展起来的热
力学理论在确定吸附剂微观结构及吸附性能研究方面起到了巨大推动作用。基于此,该文重点探讨了甲烷在页岩中吸附时
填充率θ、特征能量E、特征系数n、微分吸附功A 、吸附热Q、吸附焓ΔH 及吸附熵ΔS 的变化关系。结果表明：特征系数n
取1较为适当;温度升高特征能量E 值略降,3组样品E 值范围4.14~5.63 kJ/mol;随着θ 的不断增加,A ,Q ,｜ΔH ｜及｜
ΔS ｜等参数值逐渐降低,各能量参数随吸附进行而发生较为规律的变化,无突变。结果认为,热力学参数一定程度上代表
了TOC 及Ro 等参数的综合效应,受单一因素干扰性不强。将计算的Q 及ΔS 等热力学参数与四川盆地志留系龙马溪组页岩的
相应参数进行了对比,进一步表明四川盆地该套龙马溪组页岩具有巨大的页岩气勘探和开发潜力。     

Modelling Short‐Scale Variability and Uncertainty During Mineral Resource Estimation Using a Novel Fuzzy Estimation Technique

For mineral resource assessment, techniques based on fuzzy logic are attractive because they are capable of incorporating uncertainty associated with measured variables and can also quantify the uncertainty of the estimated grade, tonnage etc. The fuzzy grade estimation model is independent of the distribution of data, avoiding assumptions and constraints made during advanced geostatistical simulation, e.g., the turning bands method. Initially, fuzzy modelling classifies the data using all the component variables in the data set. We adopt a novel approach by taking into account the spatial irregularity of mineralisation patterns using the Gustafson–Kessel classification algorithm. The uncertainty at the point of estimation was derived through antecedent memberships in the input space (i.e., spatial coordinates) and transformed onto the output space (i.e., grades) through consequent membership at the point of estimation. Rather than probabilistic confidence intervals, this uncertainty was expressed in terms of fuzzy memberships, which indicated the occurrence of mixtures of different mineralogical phases at the point of estimation. Data from different sources (other than grades) could also be utilised during estimation. Application of the proposed technique on a real data set gave results that were comparable to those obtained from a turning bands simulation.