Response of a stream in disequilibrium to timber harvest

Timber was harvested on South Fork of Thomas Creek, White Mountains of Arizona, USA, for the first time in 1978–1979. This caused significant increases in annual flow volumes and annual instantaneous peak flows. North Fork remained untouched, but both streams were in disequilibrium before harvest time. Due to wetter years during the postharvest period, North Fork also experienced some flow increases, but the difference was not significant. Flow increases cause increased erosion in disequilibrium channels. While in South Fork channel cross sections enlarged by 10% since preharvest time, those in North Fork enlarged by only 2.5%. The number of knickpoints tripled in South Fork, which was about double that in North Fork. Knickpoint development resulted in destruction of the natural control structures (log steps and transverse gravel bars) in South Fork (47%), while in North Fork they increased by 23%. Knickpoints are scarps on the channel bed that have the appearance of gully headcuts. The tripling of the number of knickpoints signifies that adjustment processes of the bed profile are intensified drastically in South Fork. The geomorphic changes signify that due to increases in discharge, the extent of disequilibrium is exacerbated in South Fork. Yet, volumes of erosion are relatively small, as will be sediment volumes leaving the watershed at a given time, because of the stepwise sediment transport occurring in this ephemeral stream.     

煤矸石模拟淋滤实验中重金属污染物的释放特征分析

以新疆某采矿区煤矸石为研究对象,采用动态淋滤实验研究煤矸石中Cu、Cd、Cr、Pb的淋出浓度特征,分析4种金属元素的释放规律,评价其对环境的污染程度,考察淋滤条件对金属元素释放的影响。结果表明,Cu、Cd、Cr、Pb在淋滤前期表现为淋出浓度较高,释放速率较快的特征,随着淋滤时间的延长,各金属元素的淋出浓度降低,释放速率减缓,直至淋滤后期淋出浓度趋于稳定,释放量达到平衡;释放量和淋出率分别表现为Cr＞Cu＞Pb＞Cd和Cd＞Cr＞Cu＞Pb;除Cd外,其余金属元素的释放量随淋滤液pH值的减小和氧化还原电位的增加而升高。     

基于电阻率法的垃圾渗滤液渗漏及迁移规律动态监测技术探讨

为探讨垃圾渗滤液侵入地下介质的动态变化过程,引入基于电阻率法原理的地球物理探测手段,开展室内和室外渗滤液污染扩散的动态监测试验。结果表明,渗滤液在土壤中的扩散过程会引起不同时期视电阻率低阻异常区的动态变化,且变化幅度和污染程度存在一定量化关系,基于此特征可确定渗漏点和渗滤液扩散区的污染范围、程度及趋势。     

SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach

We report the development of a new spatially explicit individual-based Dynamic Global Vegetation Model (SEIB–DGVM), the first DGVM that can simulate the local interactions among individual trees within a spatially explicit virtual forest. In the model, a sample plot is placed at each grid box, and then the growth, competition, and decay of each individual tree within each plot is calculated by considering the environmental conditions for that tree as it relates to the trees that surround it. Based on these parameters only, the model simulated time lags between climate change and vegetation change. This time lags elongated when original biome was forest, because existing trees prevent newly establish trees from receiving enough sunlight and space to quickly replace the original vegetation. This time lags also elongated when horizontal heterogeneity of sunlight distribution was ignored, indicating the potential importance of horizontal heterogeneity for predicting transitional behavior of vegetation under changing climate. On a local scale, the model reproduced climate zone-specific patterns of succession, carbon dynamics, and water flux, although on a global scale, simulations were not always in agreement with observations. Because the SEIB–DGVM was formulated to the scale at which field biologists work, the measurements of relevant parameters and data comparisons are relatively straightforward, and the model should enable more robust modeling of terrestrial ecosystems.     

Numerical integration of chemical ODE problems arising in air pollution models

The numerical treatment of a regional air pollution model (such models are, as a rule, described mathematically by systems of partial differential equations) leads to the solution of very large computational problems. The chemical submodel of an air pollution model is normally the most timeconsuming part of the computational work. The application of appropriate discretization and splitting procedures reduces the chemical submodel to a large number of relatively small ODE systems (one such system per gridpoint). In the process of searching for efficient numerical algorithms for the chemical submodels one can carry out experiments by using only one such ODE system in order to facilitate the work. This approach has been used in connection with a particular chemical scheme, the condensed CBM IV scheme, which is used in several large air pollution models. Six integration algorithms have been tested on a set of typical scenarios (consisting of different starting concentrations and/or of different values of the emissions). The advantages and the disadvantages of the algorithms tested are discussed. The final decision about the most efficient algorithm, among the algorithms tested, should be made after a second series of experiments. The coupling of the chemical process with the transport of air pollution (on, at least, a twodimensional domain) together with the application of highspeed computers has to be studied in the second series of experiments, which will be performed in a subsequent paper.     

动态顶空气相色谱法测定水中极性水溶性有机物

采用动态顶空气相色谱FID法测定水中乙醛、丙酮、甲醇、丙烯醛、丙烯腈、乙腈、吡啶等7种极性水溶性有机物,通过优化动态顶空条件,使该方法在0．157mg／L～7．92mg!L之间线性良好。方法检出限在0．008mg／L～0．048mg／L之间,空白水样的加标回收率为103％～111％,RSD为5．4％～8．7％。用该方法测定某制药企业排口污水和地表水,只有污水中甲醇、乙腈、吡啶有响应值。     

动态顶空-气相色谱/离子阱质谱法测定土壤中苯系物

采用动态顶空进样,气相色谱/离子阱质谱法测定土壤中的苯系物。对样品的吹扫温度、吹扫时间和解析时间进行了优化,各组分的方法检出限：苯为0.43 μg/kg,甲苯为1.13 μg/kg,对、间二甲苯均为1.74 μg/kg,邻二甲苯为0.37 μg/kg;对5种苯系物的低、中质量浓度标液进行加标,回收率为82.0%～115%,重复测定7次的RSD为4.8%～15.1%。对某造纸厂周边土壤样品中苯系物进行测定,结果固废堆存处周边土壤中苯和甲苯检出。     

基于遥感和GIS的四川省草地动态变化分析

利用地理信息系统技术,在空间数据库平台的支持下,对四川省20世纪90年代中期到2000年间的草地动态变化特征、草地动态变化的背景特征及其空间分布特征进行了分析。研究表明,净增草地部分主要来源于耕地,净减草地部分的主要去向是林地。总体上,净增草地面积3812公顷,净增草地部分主要是在轻度土壤侵蚀区、中度土壤侵蚀区、剧烈土壤侵蚀区和强度土壤侵蚀区,坡度等级5、6和1的区域,环境等级5、6、4和1的区域;净减草地部分主要是在微度土壤侵蚀区和极强土壤侵蚀区,坡度等级3、2和4的区域,环境质量等级7和8的区域。净增草地的区域为川西北高原、丘陵和川西南山区,净增草地面积的前四个地州市是遂宁市、泸州市、巴中地区和广安市,净减少草地的区域为盆周山地和平原,净减少草地面积的前四个地州市是广元市、绵阳市、达川市和宜宾市。     

一维河流水质模拟研究

根据对流扩散方程推导一维河流水质动态和稳态模型，在此基础上导出多河段一维河流水质模拟（动态和稳态）矩阵公式．在乌鲁木齐地区水磨河上分别对所建模型进行了检验并对检验结果作了简要讨论。     

基于神经网络的煤层自然发火的非线性预测

煤炭自燃是一典型的非线性现象.笔者论述了煤炭自燃的危害,从非线性理论的角度分析了煤炭自燃的本质特征;应用神经网络中BP网络这一高度非线性关系映射建立了自然发火预测模型,克服了传统预测方法的不足并在山东枣庄矿业集团公司柴里煤矿进行了预测分析,预测结果与验证结果基本吻合,取得了满意的效果, 为解决煤炭自燃的预测提供了一条良好的思路和方法,具有较大的理论意义和应用价值.