The acid neutralizing capacity （ANC） of South Africa＇s freshwater ecosystems

Acidification is considered the most important one of the primary chemical stress factors that impact on freshwater ecosystems. In unpolluted freshwater systems, the primary controls on the degree of acidification are factors such as the geological substrate of the catchment area, the presence of organic acids secreted by vegetation in the river system, and equilibrium exchange of carbon dioxide with the atmosphere. Anthropogenic factors that can impact on the degree of acidification of freshwater systems include agricultural, mining and industrial activities, either through direct runoff into river systems or through deposition of atmospheric pollutants from these sources. The capacity factors alkalinity and acidity, which represent the acid- and base-neutralizing capacity （ANC and BCN） of an aqueous system, have been used as more reliable measures of the acidic character of freshwater systems than pH. Unlike pH, ANC and BNC are not affected by parameters such as temperature and pressure. Therefore, ANC has been employed as a predictor of biological status in critical load assessments. Freshwater systems with ANC＇s eq/L isμeq/L are considered sensitive to acidification, ANC=0 μbelow 150 commonly used as the predictor for fish species such as trout in lakes, and an eq/L as more realistic for streams. Acid-neutralizing capacity μANC value of 40 （ANC） can be determined by titration with a strong acid to a preselected equivalence point. Alternatively, it can be calculated as the difference between base cations （[BC]） and strong acid anions （[SAA]）： ANC=[BC]- [SAA]=[Ca^2＋]＋[Mg^2＋]＋[Na^＋]＋[K^＋]-[SO4^2-]-[NO3^-]-[Cl^-] To date, there has been no attempt to establish the ANC of South Africa＇s freshwater ecosystems or variability therein, despite the fact that long-term water quality monitoring data exist for all the parameters needed to calculate it according to the above equations. As a result, the relationship between the acid neutralizing capacity of freshwater ecosystems in South Africa and biodiversity factors, such as fish status, is unknown. Results of the first comprehensive （country-wide scale） evaluation of the acid neutralizing capacity of river systems in South Africa will be presented. Long-term monitoring data obtained from the Department of Water Affairs and Forestry （DWAF） from most of South Africa＇s river systems were used to establish geographic and temporal variabilities in ANC. The results show that the Berg and Breede River systems are most susceptible to acidification, and that geological substrate appears to explain most of the geographic variabilities observed.     

Low-temperature thermodynamic properties of disordered zeolites of the natrolite group

 The heat capacity of paranatrolite and tetranatrolite with a disordered distribution of Al and Si atoms has been measured in the temperature range of 6–309 K using the adiabatic calorimetry technique. The composition of the samples is represented with the formula (Na_1.90K_0.22Ca_0.06)[Al_2.24Si_2.76O₁₀]·nH₂O, where n=3.10 for paranatrolite and n=2.31 for tetranatrolite. For both zeolites, thermodynamic functions (vibrational entropy, enthalpy, and free energy function) have been calculated. At T=298.15 K, the values of the heat capacity and entropy are 425.1 ± 0.8 and 419.1 ±0.8 J K⁻¹ mol⁻¹ for paranatrolite and 381.0 ± 0.7 and 383.2 ± 0.7 J K⁻¹ mol⁻¹ for tetranatrolite. Thermodynamic functions for tetranatrolite and paranatrolite with compositions corrected for the amount of extraframework cations and water molecules have also been calculated. The calculation for tetranatrolite with two water molecules and two extraframework cations per formula yields: C _p (298.15)=359.1 J K⁻¹ mol⁻¹, S(298.15) −S(0)=362.8 J K⁻¹ mol⁻¹. Comparing these values with the literature data for the (Al,Si)-ordered natrolite, we can conclude that the order in tetrahedral atoms does not affect the heat capacity. The analysis of derivatives dC/dT for natrolite, paranatrolite, and tetranatrolite has indicated that the water- cations subsystem within the highly hydrated zeolite may become unstable at temperatures above 200 K. Received: 30 July 2001 / Accepted: 15 November 2001     

资源环境与社会经济协调发展探析

文章首先回顾了资源环境与社会经济发展的理论，提出资源环境与社会经济协调发展内涵：一方面，要在资源环境承载力范围内发展社会经济，追求社会经济发展的最大化，另一方面，环境承载力是动态的，要依靠社会经济发展不断提高，这两个方面是相互作用、相互制约的。在此基础上，详细论述了资源环境与社会经济协调发展的内容,并从社会经济发展、资源环境管理等角度探讨了资源环境与社会经济协调发展的政策调控，通过建立节约型国民经济体系、深化资源环境管理，实现区域一体化，以保证资源环境与社会经济协调发展的实现。     

旅游心理容量的测定——以武陵源黄石寨景区为例

旅游容量是旅游规划和管理中的重要工具之一。该文引入边际满意度的概念,提出了旅游心理容量的满意度模型,并且以武陵源黄石寨景区为实证研究,进行了旅游心理容量的测定。     

桩长及水泥掺入量对柔性桩承载力等的影响

采用弹性无限半空间体内的Mindlin应力解和分层总和法，计算分析了柔性桩的荷载传递规律，较详细地讨论了桩长、固化剂（水泥）掺入量对柔性桩复合地基承载力、变形的影响。计算值与实测值比较吻合。     

端头扩大型土层锚杆技术

锚固力是土锚重要的工作性指标，端头扩大型土层锚杆技术作为提高锚固力的一种有效手段虎来越得到人们的重视，为此，在这着重介绍国内外土层锚杆端头扩大技术的原理及应用发展情况。     

静力弹塑性分析(Pushover Analysis)的基本原理和计算实例

阐述了美国两本手册FEMA273／274和ATC-40中关于静力弹塑性分析的基本原理和方法，给出了利用ETABS程序进行适合我国地震烈度分析的计算步骤，并用一框剪结构示例予以说明，表明Pushover方法是目前对结构进行在罕遇地震作用下弹塑性分析的有效方法。     

Parameters of Land-Surface Processes for Gobi in North-West China

Using data from the intensive observation period (May–June 2000) of the NWC-ALIEX (The Field Experiment on Interaction between Land and Atmosphere in Arid Region of North-west China), the characteristics and mechanisms of some key land-surface process over Gobi in a typical arid region of north-west China are analyzed and several parameters of land-surface processes are calculated. The weighted mean of the surface albedo over a typical arid region of the Dunhuang Gobi is calculated using the relative reflection as a weighting factor, and its value is 0.255 ± 0.021. After removing the influence of precipitation, the mean soil heat capacity over a typical arid region of the Dunhuang Gobi is 1.12 × 10⁶ J m^-3 K^-1,which is smaller than that observed in the Heihe (China) River basin Field Experiment (HEIFE). The mean soil heat diffusivity and conductivity are about half of those observed in HEIFE.     

关于地基承载力的探讨

以土质地基为研究对象 ,结合载荷试验 p s曲线 ,应用土体的极限平衡理论 ,对地基土的变形性状、地基土承载力以及承载力修正等问题进行了分析。分析结果显示 :地基土承载力不单是地基土抗剪强度指标的函数 ,同时还与作用其上的基础埋深及基础宽度等因素密切相关。进行地基基础设计时 ,应根据实际的基础埋深与宽度对勘察资料中的地基土承载力进行修正 ,并提出了有关承载力修正的建议