试论未来全球气候变化

未来全球气候变化是人们关注的重大课题。从内蒙古盐湖近２０ｋａ气候演变的研究可知，地质时期和历史时期气候波动变化是有规律可循的。用已经了解的这种变化规律来予测未来气候变化是有价值的。研究表明，未来１ｋａ左右全球为暖期，之后将进入下一个冰期。     

Influence of Temporal Variations in River Discharge, pH, Alkalinity and Ca on the Speciation and Concentration of Heavy Metals in Some Mining Polluted Rivers

Dissolved (dialysis in situ) and total concentrations ofCu, Zn, Cd and Al in eight mining polluted rivers in the Røros area, central Norway, were determinedby atomic absorption spectrometry (flame and graphite furnace) and compared to pH, Caconcentration and alkalinity through seasonal variations in river discharge. Totalconcentrations of the metals were highest during early spring flood and during summer andautumn rain episodes. Dissolved concentrations also increased as the spring floodproceeded, but small discharge peaks within this 2 month period as well as a considerableautumn flood episode appeared to lower rather than to raise the dissolved metal concentrations.Consequently the dissolved fractions of Zn, Cd and Al showed a significant negative correlationwith river discharge, and were low at the discharge peaks. Possibly high sediment concentrationsoccurring at high flood conditions more than counteracted desorption induced by pHdecrease, and led to decreased dissolved fractions through adsorption. Cu speciationon the other hand seemed to be more closely linked to pH. Alkalinity and Ca concentration,both assumed to protect aquatic life from metal pollution, were significantly lowerduring episodes with high Cu and Al total concentrations.     

省级应急管理地理信息平台及实现技术研究——以重庆市为例

加强应急管理、有效应对突发事件是国家的一项重要工作,以地理空间信息技术为核心的应急管理地理信息平台建设,已成为目前国内省级应急平台建设的主要模式。本研究建立了应急联动一张图和地理信息应急服务总线,对省级应急资源多源、异构、动态、多时相信息整合技术难题进行探索,实现了地理信息服务与全市各级应急系统的业务融合。目前,研究成果已融入重庆市应急信息资源共享体系,在多个部门的应急业务系统中得到有效的集成应用,为形成全市应急资源全方面共享格局发挥了重要作用。     

全球温度变化的热力学平衡和最新发现

本文提出了一种新的研究全球气候温度变化的思路。为发现全球气候变化的宏观规律,把生物圈系统作为一个整体的物质进行研究,从而把纷繁复杂的全球气候温度变化问题归纳成经典物理学的热量与温度变化问题。给出了广义生物圈的热平衡测量Q值和温度变化的热力学公式,并在实际数据的基础上通过计算发现人类使用矿物燃料和核能所排放的热量理论上可使全球海平面每年升高35 mm或者可使大气对流层温度每年升高011 ℃。该发现表明:能源热量因素已成为影响全球温度变化的重要因素。     

黄土高原典型小流域道路特征及影响因素

通过GPS野外实测黄土高原纸坊沟小流域的道路特征,在GIS空间分析等方法支持下研究了流域内各级道路的分布规律。研究表明:黄土高原道路可分为4级,2级以下的土路是小流域的代表路型。各级别道路总长度都随级别增大而增加且累计总长度与道路级别线性相关,道路平均长度和密度则随级别增大而减小。道路网系和流域水系在结构规律上具有一定的相似性。不同级别道路分布范围受地形特征影响不同。爬坡道路坡度与地表坡度之间存在线性回归关系,且次级道路分布受主路控制;典型爬坡路在大于25°坡度范围内多呈"之"字形弯曲,随坡度的减小道路弯曲跨度和与等高线夹角增大。研究结果有助于定量模拟黄土高原地区道路分布特征,并为土壤侵蚀模型中道路影响因子的确定提供参考。     

利津县城区地热资源状况及开发前景分析

利津县城区的地热资源主要赋存于新生代新近纪和古近纪碎屑沉积岩中,热储类型为层状孔隙-裂隙型热储,地热资源类型属热传导型。新近纪馆陶组热储层组与古近纪东营组热储层组是主要的热储层。该文在论述利津县地热地质条件的基础上,对地热开发的经济、社会、环境效益及开发利用前景进行了分析,对地热开发中的尾水排放和回灌问题进行了探讨,最后提出了地热资源开发与管理方面的建议。     

Long-term changes (1980–2003) in total ozone time series over Northern Hemisphere midlatitudes

Long-term changes in total ozone time series for Arosa, Belsk, Boulder and Sapporo stations are examined. For each station we analyze time series of the following statistical characteristics of the distribution of daily ozone data: seasonal mean, standard deviation, maximum and minimum of total daily ozone values for all seasons. The iterative statistical model is proposed to estimate trends and long-term changes in the statistical distribution of the daily total ozone data. The trends are calculated for the period 1980–2003. We observe lessening of negative trends in the seasonal means as compared to those calculated by WMO for 1980–2000. We discuss a possibility of a change of the distribution shape of ozone daily data using the Kolmogorov-Smirnov test and comparing trend values in the seasonal mean, standard deviation, maximum and minimum time series for the selected stations and seasons. The distribution shift toward lower values without a change in the distribution shape is suggested with the following exceptions: the spreading of the distribution toward lower values for Belsk during winter and no decisive result for Sapporo and Boulder in summer.     

河南农区工业化途径研究

本文通过对豫东、豫北等河南农业主产区80年代以来工业化进程的调研分析，在总结经验教训的基础上，针对这些地区工业发展的特殊条件，提出了平原农区工业化的基本思路和途径，主导产业的选择和注意处理的几个问题。     

太平洋海温异常对大理雨季开始期的影响

采用大理州雨季开始期资料、1961年6月~2008年5月太平洋5°×5°共286个格点的逐月平均海温资料及NCEP/NCAR的SSTA资料,通过相关分析发现,太平洋海温与大理雨季开始期的关系密切,春季和上年秋季太平洋海温对大理雨季开始的影响较大。雨季开始前若发生厄尔尼诺事件,大理雨季开始期偏晚,反之,若发生拉尼娜事件,大理雨季开始期偏早。N ino3区的海温异常对大理雨季开始期的影响相当明显,当5月N ino3区的海温异常偏高时,大理雨季开始期偏晚;反之,当5月N ino3区的海温异常偏低时,大理雨季开始期偏早,N ino3区海温异常可以作为大理雨季开始期预测的一个强信号因子。