灰色模型在确定关键污染因子中的应用

将灰色模型引入水环境质量评价中 ,通过对某个时间段内污染物原始监测数据的灰色处理 ,从动态演变中找出关键因子 ,客观地判定各污染因子所起的作用 ,并对各因子在下一个时间段的发展趋势作出判断 ,增加了评价的准确性。经过实例运用分析表明 ,该方法物理意义明确 ,简便易用     

Mega-Development Trends in the Amazon: Implications for Global Change

This paper describes four global-change phenomena that are having major impacts on Amazonian forests. The first is accelerating deforestation and logging. Despite recent government initiatives to slow forest loss, deforestation rates in Brazilian Amazonia have increased from 1.1 million ha yr^–1 in the early 1990s, to nearly 1.5 million ha yr^–1 from 1992–1994, and to more than 1.9 million ha yr^–1 from 1995–1998. Deforestation is also occurring rapidly in some other parts of the Amazon Basin, such as in Bolivia and Ecuador, while industrialized logging is increasing dramatically in the Guianas and central Amazonia.The second phenomenon is that patterns of forest loss and fragmentation are rapidly changing. In recent decades, large-scale deforestation has mainly occurred in the southern and eastern portions of the Amazon — in the Brazilian states of Pará, Maranho, Rondônia, Acre, and Mato Grosso, and in northern Bolivia. While rates of forest loss remain very high in these areas, the development of major new highways is providing direct conduits into the heart of the Amazon. If future trends follow past patterns, land-hungry settlers and loggers may largely bisect the forests of the Amazon Basin.The third phenomenon is that climatic variability is interacting with human land uses, creating additional impacts on forest ecosystems. The 1997/98 El Niño drought, for example, led to a major increase in forest burning, with wildfires raging out of control in the northern Amazonian state of Roraima and other locations. Logging operations, which create labyrinths of roads and tracks in forsts, are increasing fuel loads, desiccation and ignition sources in forest interiors. Forest fragmentation also increases fire susceptibility by creating dry, fire-prone forest edges.Finally, recent evidence suggests that intact Amazonian forests are a globally significant carbon sink, quite possibly caused by higher forest growth rates in response to increasing atmospheric CO₂ fertilization. Evidence for a carbon sink comes from long-term forest mensuration plots, from whole-forest studies of carbon flux and from investigations of atmospheric CO₂ and oxygen isotopes. Unfortunately, intact Amazonian forests are rapidly diminishing. Hence, not only is the destruction of these forests a major source of greenhouse gases, but it is reducing their intrinsic capacity to help buffer the rapid anthropogenic rise in CO₂.     

The Impact of Landsat Satellite Monitoring on Conservation Biology

Landsat 7s recent malfunctioning will result in significant gaps in long-term satellite monitoring of Earth, affecting not only the research of the Earth science community but also conservation users of these data. To determine whether or how important Landsat monitoring is for conservation and natural resource management, we reviewed the Landsat programs history with special emphasis on the development of user groups. We also conducted a bibliographic search to determine the extent to which conservation research has been based on Landsat data. Conservation biologists were not an early user group of Landsat data because a) biologists lacked technical capacity – computers and software – to analyze these data; b) Landsats 1980s commercialization rendered images too costly for biologists budgets; and c) the broad-scale disciplines of conservation biology and landscape ecology did not develop until the mid-to-late 1980s. All these conditions had changed by the 1990s and Landsat imagery became an important tool for conservation biology. Satellite monitoring and Landsat continuity are mandated by the Land Remote Sensing Act of 1992. This legislation leaves open commercial options. However, past experiments with commercial operations were neither viable nor economical, and severely reduced the quality of monitoring, archiving and data access for academia and the public. Future satellite monitoring programs are essential for conservation and natural resource management, must provide continuity with Landsat, and should be government operated.     

乌鲁木齐市一次冷空气过境天气对空气污染的影响分析

根据对2006年11月20～28日乌鲁木齐市出现冷空气过境天气过程的天气形式和主要气象要素及空气污染变化情况进行的分析,结果表明:冷空气过境天气前后,诸多气象要素发生了变化,冷空气导致逆温层的破坏和降水过程使各项污染物均得到有效的清除.通过此分析可为类似天气的空气质量预报提供思路.     

珠江三角洲地区酸雨污染趋势初探

本文从珠江三角洲地区酸雨监测数据资料入手，对本地区酸雨状况及其趋势进行探讨，研究结果表明，本地区酸雨依然严重，且广泛存在。     

中国黄土元素背景值分异规律研究

报道了中国黄土中40个元素的背景值,并以F、Cr、Mn、Co、Ni、V、Cu、Zn、As、Se、Cd、Pb、Hg等13个元素为例,讨论了其在黄土高原的分布与含量。利用趋势面分析等数理统计方法,揭示了黄土中元素的某些环境地球化学特征及元素背景值的分异规律。结果表明,黄土的元素背景值具有三维的分异特征,黄土的质地及沉积的生物气候环境黄土是影响背景值分异的主要因素。为中国黄土的风成学说提供了佐证。     

中国华北地区冬季大气污染物航空测量(Ⅰ)——空中气态污染物污染特征研究

为掌握致酸大气污染物ＳＯ２ 和ＮＯｘ 的空间浓度分布，并探讨上述污染物扩散、迁移和传输规律，进而研究其在酸性降水形成过程中的作用，在“八五”期间酸性降水的研究中，针对中国华北地区城市和工业集中以及ＳＯ２ 和ＮＯｘ 等酸性大气污染物排放量大的特点，以石家庄及其以东地区为飞行区域，进行了华北地区冬季空中ＳＯ２ 和ＮＯｘ 污染特征的航空测量。通过测定发现在华北地区１－５ ｋｍ 左右的空中存在着ＳＯ２ 和ＮＯｘ 高浓度污染空域，同时ＳＯ２ 存在着高浓度汇集区     

江苏宿迁地震台短水准测量场地改造的探讨

地震前兆数据观测中,经常会遇到各种干扰,有的干扰可以很快排除,但有的是无法排除的.目前我们的短水准受到铺路影响就属于后一种情形,它直接影响到我们测量场地的生存.为了让观测数据得以延续,我们努力寻找解决问题的办法,最后采用把观测点平移再对比观测的方法来解决问题.     

尖点突变模型在研究洪水引起环境突变中的应用

以1998年霍林河特大洪水为例，在进行洪水对环境影响作用分析的基础上，将洪水发生的危险系数、地面高程、地形坡度、降雨影响程度、土地盐碱率和草地开垦率6个控制变量划分为两个主分量。由于洪水引起的环境突变可以归纳为一种耦合突变，我们采用尖点突变模型进行求解，得出各主分量的数学表达式和水环境突变区域边界，绘制了该流域环境突变分区图，论证了应用尖点突变模型研究环境突变的合理性。     

龙川江水质污染状况、发展趋势及水污染防治对策

通过对龙川江水质监测资料、水环境状况调查情况的分析，对龙川江水质发展趋势进行了评价和分析，提出龙川江水环境污染防治的对策。