Grey Water Footprint Assessment from the Perspective of Water Pollution Sources: A Case Study of China

Water Resources - With the acceleration of industrialization and urbanization, the water crisis is becoming more severe and may threaten the future of sustainable development. Assessing grey water...     

近年来我国地震谣言的起因及对策

在充分考虑《中华人民共和国防震减实法》和《地震预报管理条例》中有关地震谣言的新规定的基础上，结合前人的工作，给出了地震谣言的新定义；对1995年12月－1999年1月期间在我国发生的31起地震谣言事件的起因和平息手段进行了研究，并对地震谣言进行了分类；将地震谣言的传播和发展过程分为三个阶段，归纳出了可以采用的地震谣言辟谣工作手段和在辟谣工作中应该注意的问题。     

颅脑转移瘤的高分辨率CT诊断分析

目的:对颅脑转移瘤的来源、分布部位及瘤周水肿三者关系进行分析与探讨。方法:将54例颅脑转移瘤检出93个病灶,行平扫及增强扫描。将颅脑分为三个区:1区指大脑半球皮髓质交界区;2区指大脑半球;3区指小脑、脑干。水肿分为四个级别:0度无水肿;1度ETR<=1;2度1=2。结果:转移灶1区74个;2区14个,3区5个。水肿程度:0度16个;1度15个;2度26个;3度36个。结论:转移瘤瘤周水肿与转移瘤的来源、恶性程度无关;而与转移瘤的发生部位关系密切.     

震兆图象的远程遥联性

通过研究我国一些震情窗口成组震兆与大陆及边邻Ms≥7.0级地震的整体链式活动的对应关系,指出这些窗口的成组震兆具有远程遥联的特点。对这种特点的深入研究将有可能为我国大陆及边邻地区地震活动的总体大形势作出估计。     

On the seismic regime network method

In this paper, based on the previous study of practical use of seismic regime windows and seismic regime belts, the problem of establishing a “seismic regime network” consisting of “windows” and “belts” is further posed and discussed according to the observed fact that many “windows” and “belts” make responses to one earthquake. For the convenience of usage, the “seismic regime network” is divided into two classes, the first class and the second one. The former can be used in tendency prediction for long-term seismic activity in a large area, the latter used in short-term prediction in a small area. In this paper, after briefly discussing the physical significance of “seismic regime network”, it is pointed out that this simple and easily used method can be used to observe and extract seismic precursory information from a large area before a great earthquake, thus it can provide a reliable basis for the analysis and judgement of seismic regime tendency in time and space. No doult, this method is of certain practical significance. The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,13, 161–169, 1991. The English version of this paper is improved by Prof. Shaoxie Xu.     

Multiscale linearized inversion of surface-wave dispersion curves

In recent years, surface-wave analysis method has been developed rapidly in many fields. Multichannel analysis of surface waves can provide near-surface one-dimensional shear-wave velocity profiles. Because linearized inversion of surface-wave dispersion curves relies heavily on the choice of the initial model, setting an inappropriate initial model can lead to poor inversion results, or even failure of inversion. However, it is difficult to establish a reasonable initial model without a priori information, which is unavailable in most cases. To cope with this problem, a multiscale linearized inversion method is proposed for surface-wave dispersion curves inversion. In contrast with the traditional single-scale linearized inversion, the key idea of the proposed multiscale surface-wave inversion method is the introduction of a merging and splitting process of layers. After every scale inversion, the merging and splitting operations automatically optimize the inversion model, making it gradually approach to a reasonable subsurface stratification. Multiscale surface-wave inversion method reduces the difficulty of establishing the initial model and has high computational efficiency. In addition, it has strong ability to identify high-velocity or low-velocity interlayers and thin layers, especially suited for the geological conditions with obvious stratification. In synthetic tests, the proposed method was compared with the single-scale surface-wave inversion and particle swarm optimization algorithm to demonstrate the effectiveness and practicability of multiscale surface-wave inversion method. We also applied the multiscale surface-wave inversion method to field seismic data acquired in Guizhou, China and Texas, USA. Borehole and crosshole test data were compared with the inversion results of field data to prove the reliability of the proposed method.     

Seasonal dynamics of CO<Subscript>2</Subscript> fluxes from subtropical plantation coniferous ecosystem

As one component of ChinaFLUX, the measurement of CO₂ flux using eddy covariance over subtropical planted coniferous ecosystem in Qianyanzhou was conducted for a long term. This paper discusses the seasonal dynamics of net ecosystem exchange (NEE), ecosystem respiration (RE) and gross ecosystem exchange (GEE) between the coniferous ecosystem and atmosphere along 2003 and 2004. The variations of NEE, RE and GEE show obvious seasonal variabilities and correlate to each other, i.e. lower in winter and drought season, but higher in summer; light, temperature and soil water content are the main factors determining NEE; air temperature and water vapor pressure deficit (VPD) influence NEE with stronger influence from VPD. Under the proper light condition, drought stress could decrease the temperature range for carbon capture in planted coniferous, air temperature and precipitation controlled RE; The NEE, RE, and GEE for planted coniferous in Qianyanzhou are ?387.2 g C·m^?2 a^?1, 1223.3 g C·m^?2 a^?1, ?1610.4 g C·m^?2 a^?1 in 2003 and ?423.8 g C·m^?2 a^?1, 1442.0 g C·m^?2 a^?1, ?1865.8 g C·m^?2 a^?1 in 2004, respectively, which suggest the intensive ability of plantation coniferous forest on carbon absorbing in Qianyanzhou.     

CO2 flux evaluation over the evergreen coniferous and broad-leaved mixed forest in Dinghushan,China

The Dinghushan flux observation site, as one of the four forest sites of ChinaFLUX, aims to acquire long-term measurements of CO₂ flux over a typical southern subtropical evergreen coniferous and broad-leaved mixed forest ecosystem using the open path eddy covariance method. Based on two years of data from 2003 to 2004, the characteristics of temporal variation in CO₂ flux and its response to environmental factors in the forest ecosystem are analyzed. Provided two-dimensional coordinate rotation, WPL correction and quality control, poor energy-balance and underestimation of ecosystem respiration during nighttime implied that there could be a CO₂ leak during the nighttime at the site. Using daytime (PAR > 1.0 μmol⁻¹·m⁻²·s⁻¹) flux data during windy conditions (u* > 0.2 m·s⁻¹), monthly ecosystem respiration (Reco) was derived through the Michaelis-Menten equation modeling the relationship between net ecosystem C0₂ exchange (NEE) and photosynthetically active radiation (PAR). Exponential function was employed to describe the relationship between Reco and soil temperature at 5 cm depth (Ts05), then Reco of both daytime and nighttime was calculated respectively by the function. The major results are: (i) Derived from the Michaelis-Menten equation, the apparent quantum yield (α) was 0.0027±0.0011 mgCO₂·μmol⁻¹ photons, and the maximum photosynthetic assimilation rate (Amax) was 1.102±0.288 mgCO₂·m⁻²·s⁻¹. Indistinctive seasonal variation of α or Amax was consistent with weak seasonal dynamics of leaf area index (LAf) in such a lower subtropical evergreen mixed forest, (ii) Monthly accumulated Reco was estimated as 95.3±21.1 gC·m⁻²mon⁻¹, accounting for about 68% of the gross primary product (GPP). Monthly accumulated WEE was estimated as −43.2±29.6 gC·m⁻²·mon⁻¹. The forest ecosystem acted as carbon sink all year round without any seasonal carbon efflux period. Annual NEE of 2003 and 2004 was estimated as −563.0 and −441.2 gC·m⁻²·a⁻¹ respectively, accounting for about 32% of GPP.

     

Simulating CO2 flux of three different ecosystems in ChinaFLUX based on artificial neural networks

The nonlinearity of the relationship between CO₂ flux and other micrometeorological variables flux parameters limits the applicability of carbon flux models to accurately estimate the flux dynamics. However, the need for carbon dioxide (CO₂) estimations covering larger areas and the limitations of the point eddy covariance technique to address this requirement necessitates the modeling of CO₂ flux from other micrometeorological variables. Artificial neural networks (ANN) are used because of their power to fit highly nonlinear relations between input and output variables without explaining the nature of the phenomena. This paper applied a multilayer perception ANN technique with error back propagation algorithm to simulate CO₂ flux on three different ecosystems (forest, grassland and cropland) in ChinaFLUX. Energy flux (net radiation, latent heat, sensible heat and soil heat flux) and temperature (air and soil) and soil moisture were used to train the ANN and predict the CO₂ flux. Diurnal half-hourly fluxes data of observations from June to August in 2003 were divided into training, validating and testing. Results of the CO₂ flux simulation show that the technique can successfully predict the observed values with R ² value between 0.75 and 0.866. It is also found that the soil moisture could not improve the simulative accuracy without water stress. The analysis of the contribution of input variables in ANN shows that the ANN is not a black box model, it can tell us about the controlling parameters of NEE in different ecosystems and micrometeorological environment. The results indicate the ANN is not only a reliable, efficient technique to estimate regional or global CO₂ flux from point measurements and understand the spatiotemporal budget of the CO₂ fluxes, but also can identify the relations between the CO₂ flux and micrometeorological variables.

     

立式储罐与地基相互作用动力特性分析

立式储罐结构在工程实际中得到广泛的应用。本文以某大型立式储罐结构为例,考虑到液体、结构、地基的相互作用与影响,同时考虑地基与结构及液体与结构的耦合问题,采用有限元方法对浮放在地基上的储罐结构进行了自振特性计算。分别计算了满罐和空罐时系统的频率以及所对应的振型图,并研究了储罐的材料参数和地基刚度对动力特性的影响。结果表明:材料参数的影响较小,地基刚度的影响较大,对盛满液体与空罐的影响不同。