试论全球化背景下的非传统安全

非传统安全是近几年频频出现的热点问题。它是在全球化背景下显现的,尤以2001年的“9·11”事件和2003年的非典型肺炎(SARS)为其典型代表。非传统安全越来越受到各国政府和学者们的重视,但它却系不同于过去我们所认识的传统安全,在形成机理、内涵、特点及与其他安全观之间的关系至今还没有得到共识,处于理论的不成熟阶段。因此,文章就以上几点进行了初步的论述。     

美国"阳光带"的崛起对中国西部城市化战略的启示

美国西部开发以城市化为先导，中国西部大开发本质上也是西部城市化。西部大开发战略应以城市为中心组织与落实。本文通过透视美国“阳光带”城市崛起的历史，尤其是产业集群的成功经验，提出中国西部城市化战略实施中应将培育地方产业集群作为推动城市化的重要战略方式和地方重要的公共政策工具。     

建立省域C级GPS控制网与大地水准面精化

地质、矿产、交通、国土、测绘等众多行业都与空间数据密切相关。空间数据基准框架决定了空间数据的准确性、统一性和实用性。本文从国内外发展现状出发,简述了我国目前大地坐标框架存在的问题,论述了建立省域C级GPS网并精化似大地水准面的作用和意义,并提出了建立省域C级GPS网并精化似大地水准面的技术方案和相关问题。     

潍坊"5.19"强对流天气过程分析

利用常规气象资料、T213实况分析资料、全国雷达拼图资料、济南多普勒雷达和潍坊本市雷达资料及自动站资料，对2003年5月19日一次强对流天气过程进行分析，结果表明，快速东移南下的横槽极其槽后的冷空气使不稳定层结加强，是触发此次对流发生的原因。而低层暖湿气流的存在为其发展提供了必要的动力和水汽条件。     

河南省土壤湿度年变化规律

利用河南省土壤墒情预报模型中建立的河南省台站土壤墒情数据库资料，对不同类型土壤湿度进行分析，从而确定不同类型土壤湿度差异、地下水对土壤湿度的影响及河南省土壤湿度的年变化规律。     

定点连续形变长周期频段信息研究

研究了定点连续形变长周期频段信息和块体构造活动的关系。研究结果表明，在川滇菱形块体内，定点连续形变观测获得的长周期频段信息中的长期趋势变化除去仪器零漂等局部干扰外，基本上都和块体运动方向或者块体边界主干断裂活动方式相一致，表明在定点连续形变长周期频段信息中，也存在有与地震孕育有关的地壳形变信息。对其在预报上的作用做了初步研究。     

Study on simulating strong ground motion by fractal stochastic method

The time history of strong ground motion can be synthesized by empirical Green's function (EGF) method.Firstly a large seismic event is discretized into a series of subevents; secondly recordings of earthquakes with proper size and spatial distribution are chosen as time history (EGF) of those subevents; finally the EGFs are summated to get the time history of ground motion caused by the large event.     

Experimental study on reduction of U (Ⅵ) by an anaerobic bacterium, Shewanella putrefaciens: Application to sandstone-hosted interlayer oxidation-zone type uranium deposits, China

An experimental study on reduction of U (Ⅵ) by anaerobic bacteria, Shewane//a putrefaciens, is first reported here in China. The experimental conditions were: 35℃ and pH =7.0-7.4, corresponding to a physicochemical environments in which the sandstone-hosted interlayer oxidation-zone type uranium deposit formed in Northwest China's Xinjiang. Bacteria adopted in the present experiment, Shewanella putrefaciens, occur extensively in natural environment. Our study shows that nano-crystal precipitates of uraninite quickly occurred on the surface of the cells within one week. It was found that the pitchblende was characterized by a random arrangement of uraninite nanocrystals (2-4 nm) in it, significantly different from natural pitchblende in which uraninite nanocrystals are arranged in order. Finally, a possible mechanism of uranium biomineralization by microorganisms in the deposits is discussed. Our investigation may supply a technical train of thoughts for bioremediation of nuclear-contaminated water environments and for underground dissolving extraction of the sandstone-hosted uranium ores.     

Soil respiration in tropical seasonal rain forest in Xishuangbanna, SW China

With the static opaque chamber and gas chromatography technique, from January 2003 to January 2004 soil respiration was investigated in a tropical seasonal rain forest in Xishuangbanna, SW China. In this study three treatments were applied, each with three replicates: A (bare soil), B (soil+litter), and C (soil+litter+seedling). The results showed that soil respiration varied seasonally, low from December 2003 to February 2004, and high from June to July 2004. The annual average values of CO2 efflux from soil respiration differed among the treatments at 1% level, with the rank of C (14642 mgCO2· m-2. h-1)＞B (12807 mgCO2· m-2. h-1)＞A (9532 mgCO2· m-2. h-1). Diurnal variation in soil respiration was not apparent due to little diurnal temperate change in Xishuangbanna. There was a parabola relationship between soil respiration and soil moisture at 1% level. Soil respiration rates were higher when soil moisture ranged from 35% to 45%. There was an exponential relationship between soil respiration and soil temperature (at a depth of 5cm in mineral soil) at 1% level. The calculated Q1o values in this study,ranging from 2.03 to 2.36, were very near to those of tropical soil reported. The CO2 efflux in 2003was 5.34 kgCO2· m-2. a-1 from soil plus litter plus seedling, of them 3.48 kgCO2· m-2. a-1 from soil (accounting for 62.5%), 1.19 kgCO2· m-2. a-1 from litter (22.3%) and 0.67 kgCO2·m-2. a-1 from seedling (12.5%).     

Study of statistically correcting model CMAQ-MOS for forecasting regional air quality

Based on analysis of the air pollution observational data at 8 observation sites in Beijing including outer suburbs during the period from September 2004 to March 2005, this paper reveals synchronal and in-phase characteristics in the spatial and temporal variation of air pollutants on a city-proper scale at deferent sites; describes seasonal differences of the pollutant emission influence between the heating and non-heating periods, also significantly local differences of the pollutant emission influence between the urban district and outer suburbs, i.e. the spatial and temporal distribution of air pollutant is closely related with that of the pollutant emission intensity. This study shows that due to complexity of the spatial and temporal distribution of pollution emission sources, the new generation Community Multi-scale Air Quality (CMAQ) model developed by the EPA of USA produced forecasts, as other models did, with a systematic error of significantly lower than observations, albeit the model has better capability than previous models had in predicting the spatial distribution and variation tendency of multi-sort pollutants. The reason might be that the CMAQ adopts average amount of pollutant emission inventory, so that the model is difficult to objectively and finely describe the distribution and variation of pollution emission sources intensity on different spatial and temporal scales in the areas, in which the pollution is to be forecast. In order to correct the systematic prediction error resulting from the average pollutant emission inventory in CMAQ, this study proposes a new way of combining dynamics and statistics and establishes a statistically correcting model CMAQ-MOS for forecasts of regional air quality by utilizing the relationship of CMAQ outputs with corresponding observations, and tests the forecast capability. The investigation of experiments presents that CMAQ-MOS reduces the systematic errors of CMAQ because of the uncertainty of pollution emission inventory and improves the forecast level of air quality. Also this work employed a way of combining point and area forecasting, i.e. taking the products of CMAQ for a center site to forecast air pollution for other sites in vicinity with the scheme of model products "reanalysis" and average over the "area".