人工回灌对地下水水质影响的室内模拟实验

人工回灌过程中的水岩相互作用机制较为复杂,目前有关评价人工回灌过程对地下水化学场影响范围和影响程度的研究还十分缺乏。以上海市某人工回灌试验场为例,采用室内模拟实验手段,对人工回灌过程中地下水主要溶质组分的变化趋势及其相关水岩反应进行分析。实验结果表明:回灌过程中,地下水的主要离子成分主要受混合作用、阳离子交换吸附作用及含水层矿物相(方解石、白云石、钾长石)溶解作用的影响;受回灌过程中地下厌氧环境向好氧环境发展的影响,含水介质中的As、Cr、Fe等元素存在溶出趋势,回灌后As-Fe元素的变化量表现出较好的相关性;随着回灌时间的增加,地下水水质的影响范围逐渐扩大,其水化学类型由初始的Cl-HCO3-Na型逐步向Cl-HCO3-Na-Ca型转变。     

东胜煤田锡尼布拉格勘查区煤层对比

东胜煤田锡尼布拉格勘查区主要含煤地层为中侏罗统延安组,含煤层层数较多,且钻孔间距较大,煤层对比难度较大。根据区内勘查成果结合区域资料,采用煤层组合宏观结构、沉积旋回、地震波阻抗追索、测井曲线特征、标志层、煤层间距及煤层结构对比法等综合手段进行煤层对比,使3-1、4-1、4-2、5-1、5-2主要可采煤层达到对比可靠,3-2、3-3、4-1下等次要可采煤层和不可采煤层达到对比基本可靠的程度。     

Observation and analysis of the urban heat island effect on soil in Nanjing, China

The heat island effect in urban meteorology has received significant attention in the recent years. In order to investigate the heat island effect on urban soil, two observation stations were built, respectively, in an urban area and a rural area of Nanjing city, China. The temperatures of underground soil (0?C300?cm depth) were recorded continuously for 1?year from June 2009 to June 2010. The data show that the urban soil temperature is generally higher than the rural soil temperature, and reveal an obvious heat island effect in urban soil with average intensity of 2.02°C over the 1-year period. The intensity varies between days, months and seasons: the daily urban heat island intensity (UHII) of soil ranges from 0.37°C to 3.98°C; the monthly UHII of soil ranges from 1.34°C (November) to 3.05°C (July); the order of seasonal UHII is summer (2.45°C)?>?winter (2.03°C)?>?spring (1.63°C)?>?autumn (1.53°C). The temperature data indicate that the maximum influence depth of daily synoptic events on the subsurface temperature is approximately 60?cm; the UHII generally increases with increasing depth. In addition to soil temperature, the temporal?Cspatial variation of soil moisture in a 100?cm profile depth was also investigated in this study. It is found that the moisture content of urban soil is generally lower than that of rural soil, which reveals an obvious dry island effect with average intensity of ?7.2% over the 1-year period; the maximum single-day urban dry island intensity (UDII) in soil is ?28.0%; the maximum average monthly UDII is ?19.1%, observed in July; the seasonal UDII shows a tendency of summer (?13.8%)?>?spring (?6.3%)?>?autumn (?5.2%)?>?winter (?3.7%). In profile, soil moisture content generally increases with increasing depth, and the maximum UDII is ?25.8% at 40?cm depth. In addition, the large-scale measurement results of 600 general points also confirm that the heat island and dry island effects are exist in urban soil.     

德昌大陆槽稀土矿床的发现及其意义

着重阐述德昌大陆槽稀土矿床的发现经过，矿床基本地质特征和发现的重大意义．     

顾及开发强度的长江中下游土地变化模拟及规划对策

土地变化模拟能够判断不同规划政策对当前土地空间格局的影响.传统土地变化模拟侧重于从土地利用/覆盖类型预测土地变化情况,较少关注土地的开发强度.本文以长江中下游为例,在土地利用/覆盖的基础上构建一套考虑开发强度的土地系统,聚焦长江中下游价值突出的两种土地类型提供的服务,在共享社会经济路径下实现同时满足两种土地服务需求的土地变化模拟,并对结果进行对比分析.模拟结果显示,未来人口增加会使当前建设用地面积扩张,向着更加集约的方向变化;同时,人口的增加会带来粮食需求,农业用地中开发强度最高的高利用率耕地面积扩张.模拟结果可为区域规划提供对策和建议.     

A study of supervised classification accuracy in fuzzy topological methods

The multiple classifier system (MCS) is an effective automatic classification method, useful in connection with remote sensing analysis techniques. Combining MSC with induced fuzzy topology enables a decomposition of image classes. This fuzzy topological MCS then provides a new and improved approach to classification. The basic classification methods discussed in this paper include maximum likelihood classification (MLC), minimum distance classification (MIND) and Mahalanobis distance classification (MAH).     

On the importance of initializing the stochastic part of the atmosphere for forecasting the 1997/1998 El Ni?o

The importance of initializing atmospheric intra-seasonal (stochastic) variations for prediction of the onset of the 1997/1998 El Ni?o is examined using the Australian Bureau of Meteorology coupled seasonal forecast model. A suite of 9-month forecasts was initialized on the 1st December 1996. Observed ocean initial conditions were used together with five different atmospheric initial conditions that sample a range of possible initial states of intra-seasonal (stochastic) variability, especially the Madden-Julian Oscillation (MJO), which is considered the primary stochastic variability of relevance to El Ni?o evolution. The atmospheric initial states were generated from a suite of atmosphere-only integrations forced by observed sea surface temperatures (SST). To the extent that low frequency variability of the tropical atmosphere is forced by slow variations in SST, these atmospheric states should all represent realistic low frequency atmospheric variability that was present in December 1996. However, to the extent that intra-seasonal variability is not constrained by SST, they should capture a range of intra-seasonal states, especially variations in the activity, phase and amplitude of the MJO. For each of these five states, a 20-member ensemble of coupled model forecasts was generated by the addition of small random perturbations to the SST field at the initial time. The ensemble mean from all five sets of forecasts resulted in El Ni?o but three of the sets produced substantially greater warming by months 4?C5 in the NINO3.4 region compared to the other two. The warmer group stemmed from stronger intra-seasonal westerly wind anomalies associated with the MJO that propagated eastward into the central Pacific during the first 1?C2?months of the forecast. These were largely absent in the colder group; the weakest of the colder group developed strong easterly wind anomalies, relative to the grand ensemble mean, that propagated into the central Pacific early in the forecast, thereby generating significantly weaker downwelling Kelvin waves in comparison to the warmer group. The strong reduction in downwelling Kelvin waves in the weakest case acted to limit the warming in the eastern Pacific, resulting in a ??Modoki?? type El Ni?o that is more focused in the central Pacific. Our results suggest that the intra-seasonal stochastic component of the atmospheric initial condition has an important and potentially predictable impact on the forecasts of the initial warming and flavour of the 1997/1998 El Ni?o. However, to the extent that atmospheric intra-seasonal variability is not predictable beyond a month or two, these results imply a limit to the accuracy with which the strength and perhaps the spatial distribution of an El Ni?o can ultimately be predicted. These results do not preclude a predictable role of the MJO and other intra-seasonal stochastic variability at longer lead times if some aspects of the stochastic variability are preconditioned by the evolving state of El Ni?o or other low frequency boundary forcing.     

Delay time optimization in blasting operations for mitigating the vibration-effects on final pit walls' stability

Blasting induced vibration is one of the fundamental problems in the open-pit mines and intense vibration can cause critical damage to structures and plants nearby the open-pit mines, especially to the final pit wall's stability. It is very important to study how to control vibration induced by blasting in the mitigation of negative effects of blasting in open-pit mines. This study aims to examine the propagation of blasting induced ground vibrations and find the feasible approaches to reduce the harmful effects of vibrations induced by blasting on the final pit wall's stability. For this purpose, a series of field experiments were conducted in XinQiao Mining Co. Ltd. Sixty-six events and the blasting parameters of these shots were carefully recorded. During the statistical analysis of the collected data, the predictor equation proposed by the United States Bureau of Mines (USBM) was used to establish a relationship between the Peak Particle Velocity (PPV) and the Scaled Distance (SD) factor. The relationship between PPV and SD was determined and proposed to be used in this open-pit mine. Control of maximum charge amount per delay and the selection optimum interval time to reduce the intensity of vibration by waveform interference were applied in practice. Based on the field experiments, we can determine the maximum charge amount per delay and 15 ms delay were proposed to be used in this site, and a decrease in vibration of 24.5% was obtained.     

Sedimentary records of natural and artificial Huanghe (Yellow River) channel shifts during the Holocene in the southern Bohai Sea

Two gravity cores collected off the modern Huanghe (Yellow River) delta in the southern Bohai Sea were analyzed for grain size, the total organic carbon (TOC)/total nitrogen (TN) ratio, color diffraction, magnetic susceptibility, ¹⁴C dating and ¹³⁷Cs and ²¹⁰Pb isotope contents to clarify changes in the sedimentary environment during the Holocene. In particular, the effect of natural and artificial river-course shifts of the Huanghe on the Bohai Sea sediment was investigated. A peat layer, scouring surface and sharp changes in the grain size, TOC/TN ratio, sediment color (L^?, a^?) and magnetic susceptibility were identified and are likely to be due to the early-Holocene sea-level rise resulting in environmental changes from coastal to shelf environments in the Bohai Sea. After the sea level reached its maximum at 6-7 ka BP, the lateral shifts in the river course of the Huanghe formed 10 superlobes, and superlobe 7 (11-1048 AD) and superlobe 10 (1855-present) of the Huanghe delta affected the core sites. The northern site of BH-239 has been more affected by the Huanghe since the middle Holocene. Notably, in the superlobe 10 period, the reshaping of the northern Huanghe delta due to an artificial river-course shift from northward to eastward in 1976 (e.g., a∼10 km shoreline retreat due to coastal erosion) was recorded in the core sediments, particularly in terms of the TOC/TN ratio, sediment color (L^? and a^?) and magnetic susceptibility, owing to the huge sediment supply from coastal erosion of the former river mouth area.     

Study on the S-wave Splitting Characteristics in the Longtan Reservoir Area,Guangxi,China

In this paper,the shear wave splitting features of the Longtan reservoir area are studied by adopting the traditional cross-correlation coefficient method and polarization analysis,using the data recorded by the seismic network founded by a project under the National Science and Technology Pillar Program from April 2009 to April 2010.We found that most of polarization directions at seismic stations are consistent with the direction of the overall regional stress field,but local structures and faults may con...