干旱区绿洲生态系统动态稳定性的初步研究

本文对绿洲生态系统的动态稳定性作了初步探讨.指出土壤盐渍化的研究途径,着重讨论了绿洲蒸散与局地气候、植被覆盖面积、作物的生理生态特性、生态系统下垫面状态等的相互关系.获得了重要认识:绿洲生态系统是向绿洲化还是向荒漠化的方向发展,十分敏感地受上述各种参数的影响.最后指出,绿洲生态系统的稳定实际上是生态系统和环境,特别是与局地气候系统相互作用的问题.     

基于生态圈层结构稳定的地下水位计算与调控

干旱区绿洲灌区水资源集中开发使用,改变了地下水潜流场分布,造成了盐渍化和荒漠化并存的生态问题,严重威胁着绿洲的生态安全。以生态圈层结构理论为基础,深化研究潜水影响层概念内涵,构建干旱平原区潜水蒸发概念性模型,以黑河罗城灌区为例,从机理上揭示干旱区荒漠化与盐渍化的地下水埋深条件并进行定量计算与调控,主要成果如下:①描述了造成内陆河干旱区绿洲内部盐渍化和过渡带荒漠化的潜水蒸发运移规律,利用潜水影响层定义了盐渍化与荒漠化地下水临界埋深,并进行了定量计算,得到罗城灌区绿洲内部次生盐渍化的地下水临界埋深为1.3~1.5 m,过渡带荒漠化地下水临界埋深为8~13 m;②讨论了潜水影响层厚度定量公式中关键参数土壤当量孔径和液体表面张力在不同生态问题中的合理取值;③提出一种协同缓解干旱区盐渍化和荒漠化的地下水位调控方案,实现改善灌区内部盐渍化、控制过渡带荒漠化和水资源高效利用等多个目标。     

1957—2007年阿克苏河流域绿洲耕地变化及其河流水文效应

在阿克苏河流域土地利用变化对河流水文过程产生了深远影响,最主要的土地利用类型是绿洲耕地.根据1957—2007年阿克苏河流域各县市的绿洲耕地数据和各主要水文站的实测数据,分析近51a来流域绿洲耕地面积的变化趋势、变化速度、区域差异及其河流水文效应.结果表明:阿克苏河流域绿洲耕地面积呈现波动增加的态势,年均增长率0.77%,其中阿瓦提县最大为2.55%,而乌什县呈减少趋势,为-0.56%;与绿洲耕地总面积增长趋势的相反,人均耕地面积继续减少,年均减少率为1.15%;绿洲耕地空间变化的区域差异明显,水土资源相对丰富的阿瓦提县变化最大为3.32,而水土资源较缺乏的柯坪县变化最小,为0.65.绿洲耕地利用变化引起的河流水文效应显著,随着流域绿洲耕地面积的扩大,消耗水量同步增加,51a间绿洲耕地面积增长为38.48%,同期消耗水量增长约40.05%.与此同时,河流水质恶化和水体污染问题日益严重,逐渐成为制约流域社会发展的瓶颈.为了保障流域的可持续协调发展,必须长期坚持流域的综合治理,建立流域水资源的统一管理体制,确保流域水资源的合理配置和利用.     

222团灌区西部土壤盐碱化特征与治理措施

对兵团222团灌区西部为弃耕地和未开发耕地,通过对该区域进行土地盐碱化勘察,得出项目区土壤类型为亚粘土,主要积盐方式为洪积积盐;土壤盐渍化的等级为强盐渍土和盐土;项目区盐碱类型为钠盐型,属碱化-硫酸盐型和碱化-氯化物、硫酸盐混合盐渍化类型存在,针对项目区土壤盐渍化化学性质及其分布特点,提出对项目区土壤盐渍化的改良和治理措施。     

基于异质SVM神经网络的土壤盐渍化灾害预测模型

为研究银川平原普遍存在的土壤盐渍化问题,文章对银川平原的土壤盐渍化程度及潜在的发展趋势作出预测。利用Landsat 8 OLI数据与野外实测数据,选取地面高程、地下水位埋深、地下水溶解性总固体、植被指数、盐分指数及干旱指数为预测指标并提取指标值建立数据集,结合野外实测样点数据,建立基于异质支持向量机（Support Vector Machine,SVM)神经网络算法的盐渍化灾害预测模型。结果表明:（1）建立预测模型时,选择Radial Basis Funciton作为模型的核函数,c=100且g=3时预测精度最高可达85%;（2）研究区轻度盐渍化土壤面积约854 km2,中度盐渍化土壤面积约985 km2,重度盐渍化土壤面积约231 km2,主要分布在平罗县西大滩、银川芦花和吴忠苦水河地区;（3）银川平原北部的土壤盐渍化情况较严重且多分布于耕地周围的撂荒地以及地下水位埋藏较浅的地区,耕地资源中土壤盐渍化状况较严重,应注重耕地的合理灌溉与排水,增加土壤的可持续利用性。     

河套平原盐渍化地区非饱和带氮的分布特征及影响因素

土壤氮在植物生长、土壤理化性质和微生物活动中扮演着重要的角色.为了识别盐渍化地区非饱和带氮的迁移过程,以河套灌区典型盐渍化耕地为例,通过非饱和带监测和水化学统计分析,探究了土壤剖面中氮素分布的差异性及主要影响因素.结果表明,研究区0～100 cm土层深度土壤氮含量处于较低水平,NO3-N、NH4-N和NO2-N含量平均...     

塔里木南缘策勒绿洲地下水空间变异性与土地覆盖关系研究

基于策勒绿洲78个取样点的地下水埋深、矿化度和pH值的观测资料, 应用遥感、地理信息系统、 空间插值和地质统计学分析的方法对所取数据进行空间变异性分析.结果表明: 1)地下水埋深和pH值服从正态分布, 矿化度服从对数正态分布;2)地下水埋深、矿化度和pH值都具有强烈的空间相关性, 在步长为8 km范围之内, 地下水特征的空间变异是各向同性的, 当步长＞8 km时, 四个方向上的半变异函数发生了不同的变化;3)受盆地地形影响, 地下水埋深从南到北变浅, 东部区域埋深最浅, 最小为1.56 m;矿化度分布趋势则是从南到北逐渐增大;pH值高值区发生在绿洲东南部和中北部, pH值高的区域矿化度较低, 而pH值低的区域矿化度较高;4) 绿洲耕地主要分布于地下水位埋深为5～25 m, 且矿化度＜2.0 g·L~(-1) 的区域;林地和草地分布于绿洲边缘区, 该区域地下水埋深浅, 平均水位＜10 m, 而地下水矿化度较高, ＞2.0 g·L~(-1) .     

黑河流域中游张掖绿洲景观格局研究

在解译的张掖绿洲土地利用/土地覆盖图的基础上, 进行相关的景观类型综合处理, 计算了绿洲景观格局的多个指数. 结果表明, 绿洲景观的组成以戈壁、沙地、耕地和草地为主, 体现了荒漠基质受人工影响而形成的典型农业型绿洲的特点. 绿洲内居民点众多, 仅与少数类型邻接并且比较分散, 戈壁、平原旱地和沙地分布则比较集中. 盐碱地和裸岩石砾地的形状最复杂, 戈壁的形状则最简单; 同时, 平原旱地、戈壁和裸岩石砾地的连接性均较好, 在景观中占有较大比重, 类型间的物质和能量迁移比较通畅.     

且末县土壤盐渍化分布特征及成因分析

以且末县土壤为研究对象,对该地区土壤盐渍化分布特征及成因进行了分析。研究结果表明:研究区盐渍土在平面上盐份主要富集在水位埋深较浅的车尔臣河中下游的沼泽-化学沉积平原区;在垂向上盐份富集在地表,随深度增大含盐量减小,并且所含盐类由表层以硫酸盐、亚硫酸盐为主,向深部逐步变为以氯盐为主;成因主要是且末绿洲区气候干旱,蒸降比大,地形封闭,盐源丰富、盐分表聚明显,加之灌溉措施及生产经营方式不够合理;预测车尔臣河中下游广大地区内土地盐渍化程度及范围将呈增强趋势,预计到2025年,研究区内盐渍化土地面积将会达到2 509.87 km~2,2030年将会达到2 966.56 km~2。     

古居延绿洲汉代至西夏渠系影像特征及绿洲环境变迁

利用较高分辨率的遥感影像确定出古居延绿洲渠系分布和引水口的位置以及古渠道线路的走向,发现古居延绿洲主要分布在现代绿洲的东侧,至少有6处引水口分布于距雅布赖、东城圈和马圈城一线西侧的水道上。渠系由西向东进入各垦区,各引水口随水道西迁向西延伸。渠系与遗址、古耕地和红柳包间的联系以及¹⁴C\}测年数据表明：  多数渠系始建于汉代,以后长期延用,盛于西夏,弃于元末明初;   古居延绿洲早期荒漠化始于1300aB.P.;   天然水系向西迁移最终导致了古居延绿洲的废弃和完全荒漠化     

南秦岭下地壳组成及岩石圈的拆离俯冲作用

根据新提供的Pb同位素组成及岩石地球化学研究成果，本文进一步证实了位于北秦岭北界的明港地区发育的早中生代安山玄武质火山角砾岩岩筒所携带的下地壳捕虏体属于南秦岭。所恢复的南秦岭下地壳剖面自下而上为：底侵成因的变辉长岩-基性麻粒岩(其中含有榴辉岩及辉石岩的透镜体)-酸性麻粒岩。秦岭造山带总体的岩石因模型为：南秦岭(扬子块体)向北拆离俯冲，北秦岭地壳向华北仰冲，华北岩石因呈楔状插入秦岭造山带，拆离面约在中、下地壳之间。南秦岭俯冲岩片延伸的范围在平面上有可能达到400km。     

青藏高原综合观测研究站的回顾与展望

中国科学院青藏高原综合观测研究站从１９８８年建站到１９９８年以来,在各个方面均取得了长足的发展,横向生产性项目的开展和完成不仅解决了部队和地方的实际问题,而且缓和了观测研究站在运行过程中所面临的经费严重不足的问题,同时也为我所冻土专业研究人员提供了在生产中实践的机会,在基础理论研究方面,承担了国家攀登计划项目,国家基金项目,中国科学院重点项目和中国科学院冰冻圈专项项目等的研究工作,在多年冻土变化,     

Principles of spatial organization and evolution of the biosphere and the noosphere

In his last lifetime essay, “A Few Words about the Noosphere”, Academician V.I. Vernadsky (1944) wrote that all living organisms on the planet, including man, are integral to the biosphere of the Earth, its material and energy structure and cannot be physically independent of it even for a minute. However, the substrate that generates all living beings and is no less tightly bound to the biosphere has always been characterized by a significant geochemical heterogeneity, traced both in the vertical and in the lateral structure of all geospheres.

The present work is devoted to three most important aspects of modern geochemistry and biogeochemistry:

• — evolution of the ecological and geochemical state of the environment under conditions of a virgin (anthropogenically untouched) biosphere;
• — structural features of the geochemical organization of the modern noosphere;
• — specificity of the interaction of living matter with the environment under increasing anthropogenic load.

On the basis of theoretical concepts of biogeochemistry and geochemical ecology, formulated in the works of V.I. Vernadsky, A.P. Vinogradov, A.E. Fersman, B.B. Polynov, A.I. Perel’man, M.A. Glazovskaya, V.V. Kovalsky, E. Odum, B. Commoner, E.I. Kolchinskii and others, the author puts forward a hypothesis that there exist two qualitatively different stages in the evolution of the biosphere.The first stage is recognized as the period of natural evolution of the biosphere during which it evolves successively into a more complex and more biogeochemically specialized object. In the course of the geological time, this constantly results, on the one hand, in an increase in species diversity and the perfection of individual species, and, on the other hand, to directed improvement and a greater differentiation of the geochemical conditions of the environment. At this stage, the evolution of all systems of the biosphere that were controlled by the mechanisms of self-organization and self-regulation resulted in the establishment of a dynamic equilibrium, which was responsible for the cycling of all essential chemical elements and therefore providing ecologically optimal geochemical conditions in all ecological niches and for all species and biocenoses inhabiting the biosphere at any given moment.The beginning of the second stage is related to the appearance of reason and qualitative changes in the biosphere caused by the goal-directed activity of the human mind, as an entirely new geological force that appeared to be able not only to disrupt the functioning of natural mechanisms of self-regulation and selforganization, but also to transform the environment in the intersts of a single biological species, Homo sapiens. A direct consequence of this change was the uncontrolled transformation of the natural environment, during which the primary structure (geochemical background) created in the course of billions of years was eventually superimposed by a qualitatively new layer of anthropogenically-derived chemical elements and compounds, thus building an interference pattern of a new geochemical field with which practically all modern living organisms are now forced to interact.An outstanding feature of the new evolutionary stage of the natural environment, called by Vernadsky the noosphere, is that biogeochemical changes at this stage proceed at a rate which exceeds that required for the living matter to adapt to these changes. The result is the disruption of the existing parameters of the biological cycle, leading to the emergence of a significant number of endemic diseases of geochemical nature.The proposed approach was used to prove the anthropogenic genesis of existing geochemical endemic diseases and explain the mechanisms of their appearance. In addition, this approach allowed us to develop a new methodology for mapping zones of ecological and geochemical risk and noticeably simplify the procedure of monitoring distribution and prevention of all diseases of geochemical nature.     

共和盆地层状地貌系统与青藏高原隆升及黄河发育

利用卫星遥感影像,结合实地调查和测年结果,对共和盆地层状地貌系统进行了解译、分析。研究表明,共和盆地层状地貌系统由山麓剥蚀面、洪积扇面、盆地面以及黄河阶地面构成,其空间结构、物质组成对发生于早更新世早期的青藏运动C幕和中更新世末期的共和运动反映清晰。青藏运动C幕使青藏高原主夷平面在高原差异性隆升中彻底解体,垂直变形量高达1700m。共和运动使黄河在0.11Ma进入共和盆地,其后黄河平均以3.5mm/a的侵蚀速率下切盆地,同时在盆地边部的山前古冲洪积扇以大致相近的速率被抬升,最终导致高差在2000m左右的层状地貌系统的出现。     

铀钍的地球化学及对地壳演化和生物进化的影响

本文论述了在含挥发份和贫挥发份条件下Ｕ、Ｔｈ的迁移行为及其对地球和行星演化的影响,并阐述了造成地球独特地质演化历史的原因。提出了Ｕ、Ｔｈ在地球中的迁移模式以及该模式对地壳形成、演化的控制作用和对生物发展演化的可能影响。     

Evolution of the paleogeodynamic settings of the formation of the Lower and Middle Riphean sedimentary sequences of the Uchur-Maya region and the Bashkir meganticlinorium

The possibility to use some widely known standard discrimination diagrams such as the K₂O/Na₂O-SiO₂/Al₂O₃, SiO₂-K₂O/Na₂O, (Fe₂O₃* + MgO)-TiO₂, F1-F2, Th-La-Sc, Sc-Th-Zr/10, and Sc/Cr-La/Y for deciphering the paleogeodynamic settings of sedimentary sequences is considered with reference to the Lower and Middle Riphean (Mesoproterozoic) deposits of the Uchur-Maya region (Far East) and the Bashkir meganticlinorium (South Urals). It was shown that only some of them can be used with a certain degree of confidence for reconstructing the settings of the platform sedimentary sequences made up of both sandstones and fine-grained terrigenous rocks.     

Wavelets and the Generalization of the Variogram

The experimental variogram computed in the usual way by the method of moments and the Haar wavelet transform are similar in that they filter data and yield informative summaries that may be interpreted. The variogram filters out constant values; wavelets can filter variation at several spatial scales and thereby provide a richer repertoire for analysis and demand no assumptions other than that of finite variance. This paper compares the two functions, identifying that part of the Haar wavelet transform that gives it its advantages. It goes on to show that the generalized variogram of order k=1, 2, and 3 filters linear, quadratic, and cubic polynomials from the data, respectively, which correspond with more complex wavelets in Daubechies's family. The additional filter coefficients of the latter can reveal features of the data that are not evident in its usual form. Three examples in which data recorded at regular intervals on transects are analyzed illustrate the extended form of the variogram. The apparent periodicity of gilgais in Australia seems to be accentuated as filter coefficients are added, but otherwise the analysis provides no new insight. Analysis of hyerpsectral data with a strong linear trend showed that the wavelet-based variograms filtered it out. Adding filter coefficients in the analysis of the topsoil across the Jurassic scarplands of England changed the upper bound of the variogram; it then resembled the within-class variogram computed by the method of moments. To elucidate these results, we simulated several series of data to represent a random process with values fluctuating about a mean, data with long-range linear trend, data with local trend, and data with stepped transitions. The results suggest that the wavelet variogram can filter out the effects of long-range trend, but not local trend, and of transitions from one class to another, as across boundaries.