灰色协调度模型在产业用水系统分析中的应用

揭示产业用水系统的时空动态发展规律，探讨其内部的协调关系，是开展节水型社会建设规划，实现水资源可持续利用的关键。然而，目前对产业用水系统的协调性分析还缺乏较为有效的理论和方法。以往在利用协调度模型进行用水系统有序度研究时，通常采用两段叙述的线性分段函数表示，较不适用于描述产业用水系统内部要素的非线性结构。因此，针对产业用水系统的特性，利用灰关联原理建立有序度函数，以建立更适于用水系统分析的灰色协调度模型。利用该模型对上海市1997~2005年产业用水系统进行实证研究，结果显示：上海市产业用水系统基本有序，发展比较协调，其用水综合效益较大，但距离最优状态尚有潜力可挖；其中，农业用水子系统的发展较为欠缺，在未来用水规划中应予以重视。     

小清河干流底质有毒金属形态分布

以小清河干流底质为研究对象，为了更好地了解固体颗粒物上有毒金属被浸取进入液相情况．分析了三种不同浸取剂(DTPA、EDTA、NTA)的提取液中有毒金属Pb、Cr、Cu、Zn、Cd的含量。结果表明．金属浓度因浸取剂种类及金属本身类型不同而不同。由于固体颗粒物上金属的毒性及其可流动性与其存在形态密切相关。选取连续浸取法来考察底质样品中金属形态分布情况。结果表明．底质中Pb主要以氧化物键合态和碳酸键合态存在；Cr主要以有机键合态存在；Cu以有机键合态为优势存在；Zn主要以有机键合态和氧化物键合态存在；Cd主要以可交换态存在。     

某电镀厂附近农田土壤中的重金属形态研究

通过连续提取法对电镀废水污染区和对照区农田土壤中的重金属元素Cu、Cr、Ni、Pb和Mn形态进行了研究.结果显示,污染区土壤中多种形态的Cu、Cr和Ni含量都显著高于对照区,尤其以它们的有机结合态差异最为显著.污染区较对照区土壤中Mn的总量虽无显著差异,但可交换态Mn的含量显著增加(分别为98.68mg/kg和40.75mg/kg).污染区与对照区土壤中的Pb的交换态、碳酸盐结合态、Fe-Mn氧化物结合态、有机结合态和残留态均无显著差异.电镀废水的污染使得农田土壤中Cu、Cr和Ni含量和生物有效性显著升高,Mn的化学形态改变,移动性和生物有效性增加.     

The research of below-cloud scavengingof rainwater in Guilin City

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Impacts of converting from leaded to unleaded gasoline on ambient lead concentrations in Jakarta metropolitan area

Total suspended particulate mater （TSP） concentrations were monitored for one year from July 2000 and for one year from April 2003 in Jakarta City. Thirteen elemental TSP components, aluminum （Al）, sodium （Na）, iron （Fe）, lead （Pb）, potassium （K）, zinc （Zn）, titanium （Ti）, manganese （Mn）, bromine （Br）, copper （Cu）, chromium （Cr）, nickel （Ni）, and vanadium （V） were analyzed by a sequential X-ray fluorescence spectrometer. Al, Na, Fe, K, and Pb were major components at most of the sampling locations in 2000. However, only Pb in 2003 dramatically decreased to one tenth. The phase-out of leaded gasoline began on July 1, 2001 in Jakarta City and lead content in gasoline decreased to one tenth, too. The decrease in Pb concentration was a result of the phase-out of leaded gasoline, as lead emissions mainly are exhaust gas from vehicles.     

湘中锑矿区土壤重金属锑的污染特征

文章研究调查了冷水江锡矿山锑矿区、桃江板溪锑矿区、桃江马迹塘锑矿区、桃江武潭锑矿区、安化符竹溪金锑矿区及安化渣滓溪锑矿区及周围土壤中锑的含量及形态分布.结果表明:各矿区土壤中总锑含量范嗣为185.6-2 081.3 mg/kg,大大超过了土壤中锑的背景值,表明各矿区土壤已被严重污染.采用Tessier逐级提取法对土壤中...     

Antimony smelting process generating solid wastes and dust：Characterization and leaching behaviors

A large amount of solid waste has been produced by the antimony smelting process in the＂World Capital of Antimony＂, Xikuangshan area in China. This study comprehensively investigated the physical and chemical characteristics of the various solid wastes, as well as the leaching behavior of the solid wastes, which included water-quenched slag,arsenic-alkali residue, desulfurized slag and blast furnace dust. These four types of waste were enriched in a variety of heavy metals and metalloids and more specifically with As and Sb levels up to 8.6 × 104 and 3.16 × 105mg/kg, respectively, in arsenic-alkali residue. For desulfurized slag and water-quenched slag, the leaching concentration of Sb significantly exceeded the acceptable limits during the leaching tests using the toxicity characteristic leaching procedure and the synthetic precipitation leaching procedure. In addition, As leaching in arsenic-alkali residue was extraordinarily hazardous, being three orders of magnitude higher than the regulatory level of As. According to the results of the extraction tests, all the tested wastes were classified as hazardous waste.     

掺杂聚乙烯醇的壳聚糖小球对铜离子-腐殖酸的单一和连续吸附行为

以三聚磷酸钠作为离子交联剂,合成了一种掺杂聚乙烯醇的壳聚糖小球,采用SEM和FTIR表征了小球的表面性能及官能团分布情况,进一步研究了这种小球对腐殖酸和铜离子的单独吸附行为、连续吸附行为及两者共存状态下的吸附行为,并通过XPS能谱分析了吸附过程的机理.结果表明:在单独吸附过程中,壳聚糖小球与腐殖酸和铜的作用方式主要是通过静电引力和络合作用;在连续吸附过程中,先吸附了腐殖酸的小球,后续对铜离子的吸附效果变弱;而先吸附了铜离子的小球,后续对腐殖酸的吸附能力变强,说明这种小球在吸附过程中可以被连续使用.而在腐殖酸和铜离子共存的吸附实验中发现,壳聚糖小球除了会吸附溶液中的铜离子和腐殖酸外,还导致它们的聚集沉降.     

Effects of Acid Rain on Competitive Releases of Cd, Cu, and Zn from Two Natural Soils and Two Contaminated Soils in Hunan, China

Leaching experiments of rebuilt soil columns with two simulated acid rain solutions (pH 4.6–3.8) were conducted for two natural soils and two artificial contaminated soils from Hunan, south-central China, to study effects of acid rain on competitive releases of soil Cd, Cu, and Zn. Distilled water was used in comparison. The results showed that the total releases were Zn>Cu>Cd for the natural soils and Cd>Zn≫Cu for the contaminated soils, which reflected sensitivity of these metals to acid rain. Leached with different acid rain, about 26–76% of external Cd and 11–68% external Zn were released, but more than 99% of external Cu was adsorbed by the soils, and therefore Cu had a different sorption and desorption pattern from Cd and Zn. Metal releases were obviously correlated with releases of TOC in the leachates, which could be described as an exponential equation. Compared with the natural soils, acid rain not only led to changes in total metal contents, but also in metal fraction distributions in the contaminated soils. More acidified soils had a lower sorption capacity to metals, mostly related to soil properties such as pH, organic matter, soil particles, adsorbed SO₄ ²⁻, exchangeable Al³⁺ and H⁺, and contents of Fe₂O₃ and Al₂O₃.     

Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.