FOURIER INFERENCE: SOME METHODS FOR THE ANALYSIS OF ARRAY AND NONGAUSSIAN SERIES DATA1

Fourier inference is a collection of analytic techniques and philosophic attitudes, for the analysis of data, wherein essential use is made of empirical Fourier transforms. This paper sets down some basic results concerning the finite Fourier transforms of stationary process data and then, to illustrate the approach, uses those results to develop procedures for: 1) estimating cloud and storm motion, 2) passive sonar and 3) fitting finite parameter models to nonGaussian time series via bispectral fitting. This last procedure is illustrated by an analysis of a stretch of Mississippi River runoff data. Examples 1), 2) refer to data having the form Y(x_j, y_j, t) for j = 1, …, J and t = 0, …, T-l say, and view that data as part of a realization of a spatial-temporal process. Such data has become common in geophysics generally and in hydrology particularly. The goal of this paper is to present some new statistical procedures pertinent to problems in the water sciences, equally it is to illustrate the genesis of those procedures and how their properties may be approximated.     

PARAMETRIC/NONPARAMETRIC MIXTURE DENSITY ESTIMATION WITH APPLICATION TO FLOOD-FREQUENCY ANALYSIS1

Much attention has been invested in the model choice problem for peak annual flows, in the context of flood frequency analysis. The authors would sidestep this dilemma through non-parametric density estimation methodology, but recognize that the standard nonparametric estimators preclude the use of prior information and related data, and furthermore have virtually no tail at all. Here we offer a remedy for these inadequacies by introducing an estimator which mixes parametric and nonparametric density estimates. We prove that our mixture rule is consistent. By this procedure, we do allow incorporation of prior information, experience, and regional data information, but nevertheless provide a safeguard against incorrect model choice.     

PAST AND FUTURE OF ANALYSIS OF WATER RESOURCES TIME SERIES1

ABSTRACT: water resources supply and demand time series consist of several or all of the four basic characteristics: tendency, intermittency, periodicity and stochasticity. Their importance changes from one type of variables to another. Historic developments of analysis of time series in hydrology have varied significantly over the past, from the stress on search for periodicities and persistence in annual series to the emphasis on the series stochastic properties. Supply and demand series are often highly interrelated, which fact is most often neglected in planning water resources systems in general, and water storage capacities in particular. The future of series analysis in water resources will likely be by a joint use of physically-based structural analysis and the use of advanced methods of treating data by stochastic processes, statistical estimation and inference techniques. The most intriguing challenge of the future of this analysis may be the treatment of nonnormal, nonlinear and in general nonstationary hydrologic and water use time series. The proper treatment of complex multivariate processes will also challenge the specialists, especially for the purposes of transfer of information between data on variables at given points, or between data at several points of a given variable, or both.     

县级环境监测站首次计量认证工作的探讨

分析了县级环境监测站的现状,探讨了首次计量认证工作的程序、应注意的问题。     

Conservation of Biodiversity: How Are We Doing?

A question rarely raised in discussions on biodiversity conservation, but surely the biggest question of all, is “How much time do we have left before the mass extinction underway surpasses our best efforts to contain it?” This prompts a further prime question because—and unlike all other problems, whether environmental or otherwise—the biotic crisis threatens to leave a severely impoverished planet for millions of years ahead; “Why do we not undertake the necessary actions to get on top of the problem before it gets on top of us?”     

序批式反应器处理精对苯二甲酸废水

采用序批式反应器（SBR）处理模拟精对苯二甲酸（PTA）废水,考察了曝气量、沉降时间、进水方式等对对苯二甲酸（TA）生物降解效果的影响。实验结果表明,对于TA质量浓度小于1500mg／L的废水,采用完全曝气SBR运行4h,TA和COD的去除率均能达到95％以上,TA平均去除速率随TA浓度的增加而增大。TA质量浓度为1500mg／L时,曝气量、沉降时间和进水方式是影响其降解效果的主要因素。采用SBR处理高浓度PTA废水可克服污泥膨胀和抗冲击负荷能力弱的问题,且系统的稳定性和PTA废水的处理效果较好。     

湖北省连阴雨的分析

从农业气候角度，重点讨论湖北春秋雨季连阴雨的时空分布，形成原因和对农业生产的影响，首次较为系统地利用模糊聚类方法对湖北省连阴雨进行分区，对各区连阴雨的时空变化规律作了较深入的探讨。最后找出影响湖北省连阴雨的天气系统主要是北方冷空气的频繁活动。用回归分析方法找出连阴雨与我省西部北部上空５００ｈｐａ高空环流指数有明显的相关关系。     

解读摄影的本体语言

摄影本体语言是其传递视觉信息的方式,融入照相机、镜头以及成像系统最前沿的科学技术。摄影本体语言包含摄影的纪实性、瞬间性、时间与空间的拓展、镜头透视关系变化、清晰与模糊的运用等。这些视觉语言是最具摄影性质的语言,也是摄影区分其他平面艺术的要素和本质。而构图、用光、影调和色彩的表现是摄影与绘画相互交融的造型语言,是摄影视觉表达的技术与技巧。摄影本体语言和造型语言相互交融,创造影像视觉表达与表现的价值。     

Recovery of Danish coastal dune vegetation after a wildfire

The initial recovery of vegetation after a wildfire in a coastal dune area in NW Jutland, Denmark, was studied over a 5-yr period by means of permanent plots representing various dune communities along a topographical gradient. The impact of the fire varied with the position of the plots. Fens and south-facing dunes were little affected while dune heath plots were severely affected including loss of the O-horizon. Post-fire conditions included presence of remaining soil organic matter, a soil seed bank and surviving below-ground plant parts. The soil surface remained stable during the study period. The initial five years of recovery comprised of an initial three-year recruitment phase during which cover and number of species increased and the quantitative species composition changed markedly, followed by two years of a declining rate of change. 38 species of vascular plants were recorded, 35 are regular components in dune, dune heath and heath fen and were recruited from the seed bank, from locally dispersed seeds and/or by sprouting from surviving vegetative parts. The remaining three species were ‘aliens’, dispersed from sources outside the area. Crustose lichens had an important role in the initial recovery by stabilizing the surface and probably inhibiting seed germination, whereas mosses mostly had a subordinate role. The seral position of the plots, as well as the expected time needed for full recovery of pre-fire vegetation, vary with topography and initial soil conditions. Five years after the fire the fen and the south-facing dune probably need less than a decade for full recovery. The remaining plots are judged to be relatively early seral; their full recovery into mature dry or moist dune heath vegetation and O-horizon is expected to need several centuries.     

Waste collection multi objective model with real time traceability data

Waste collection is a highly visible municipal service that involves large expenditures and difficult operational problems, plus it is expensive to operate in terms of investment costs (i.e. vehicles fleet), operational costs (i.e. fuel, maintenances) and environmental costs (i.e. emissions, noise and traffic congestions). Modern traceability devices, like volumetric sensors, identification RFID (Radio Frequency Identification) systems, GPRS (General Packet Radio Service) and GPS (Global Positioning System) technology, permit to obtain data in real time, which is fundamental to implement an efficient and innovative waste collection routing model. The basic idea is that knowing the real time data of each vehicle and the real time replenishment level at each bin makes it possible to decide, in function of the waste generation pattern, what bin should be emptied and what should not, optimizing different aspects like the total covered distance, the necessary number of vehicles and the environmental impact. This paper describes a framework about the traceability technology available in the optimization of solid waste collection, and introduces an innovative vehicle routing model integrated with the real time traceability data, starting the application in an Italian city of about 100,000 inhabitants. The model is tested and validated using simulation and an economical feasibility study is reported at the end of the paper.