分光光度法测定嘉陵江中总磷

采用美国HACH公司DR/5000紫外可见分光光度计,及其专用试剂测定嘉陵江(南充段)上游、下游水样中总磷含量.测定总磷含量(以PO3-4计)适用范围(0.06 mg/L～3.50 mg/L),精密度和灵敏度较好,准确度高,标准物质的回收率都近于100%.对于样品中存在的干扰因素进行了有效的消除.简化了实验操作过程,使测试方法更加简便、快捷、试剂用量少,该方法通过美国环保局(USEPA)认可.     

苏州市经济发展与环境污染耦合关系的实证研究

选取苏州市1990-2004年经济与环境数据, 通过分析经济因子与环境因子相互关系,探究苏州市经济增长与环境质量演替轨迹,建立经济增长与环境污染水平计量模型.根据模型结果分析了苏州市环境库兹涅茨曲线的特征及产生的原因,并提出了相应的改进建议.实证研究表明,苏州市部分环境指标与人均GDP演替轨迹呈现一定的环境库兹涅茨曲线特征,但大部分环境指标尚未达到转折点.产生这种现象的主要原因是产业结构的不合理.     

Comparison of Black Carbon,Total Organic Carbon,and PAH Concentrations in Surface Sediments from Two Main Rivers in Henan Province,China

Black carbon (BC) in surface sediments from Henan section of Yellow River and Huaihe River, China, was determined. Average content of BC in Huaihe River was 0.33%, higher than that in Yellow River (n?=?23) with mean value of 0.15%. Distribution patterns of BC in Yellow River and Huaihe River were similar, namely that tributaries had higher BC content than main stream. In addition, BC content in the mainstream of Yellow River and Huaihe River decreased with altitude. The BC content presented a significant positive correlation with clay (r?=?0.672; p?<?0.01) content in Yellow River, while neither did in Huaihe River. The ratio of BC/TOC ranged from 1.8–57.4% (median 29.6%), evidencing pyrogenic fossil fuel source of BC in Yellow River. Relatively low values of BC/TOC in Huaihe River (5.3%–28.8%, median 7.5%,) reflected that the origin of BC is from burning of biomass. In addition, Pearson rank correlation analysis showed that BC was in strong correlation with lighter PAH in Yellow River, while BC was in significant correlation with heavier PAH in Huaihe River. The ratio of BC/TOC indicated that BC in Yellow River mainly came from fossil fuel combustion, while BC in Huaihe River was primarily from biomass burning.     

Comparison of a rhizosphere-based method with other one-step extraction methods for assessing the bioavailability of soil metals to wheat

There is no method recognized as a universal approach for evaluation of bioavailability of heavy metals in soil. Based on the simulation of the rhizosphere soil conditions and integration of the combined effects of root-soil interactions as a whole, a rhizosphere-based method has been proposed. Wet fresh rhizosphere soil was extracted by low-molecular-weight organic acids (LMWOAs) to fractionate metal fractions of soil pools, which were then correlated with the metal contents of wheat roots and shoots. The rhizosphere-based method was compared with other one-step extraction methods using DTPA, EDTA, CaCl2, and NaNO3 as extractants and the first step of the Community Bureau of Reference (BCR) method. Simple correlation and stepwise multiple regression analysis were used for the comparison. Simple correlation indicated that the extractable Cu, Zn, Cr, and Cd of soils by the rhizosphere-based method were significantly correlated with the metal contents of wheat roots. For DTPA, BCR1 and EDTA methods there was a relatively poor correlation between the extractable Cu, Zn and Cd of soil and metal contents of wheat roots. Stepwise multiple regression analysis revealed that the equation of the rhizosphere-based method was the simplest one, and no soil properties variables needed to be added. In contrast, the equations of other one-step extraction methods were more complicated, and soil properties variables needed to be entered. The most distinct feature of the rhizosphere-based method was that the recommended method was suitable for acidic, neutral and near alkaline soils. However, the DTPA and EDTA extraction methods were suitable for calcareous soils only-or-only for acidic soils. The CaCl2, and NaNO3 extraction methods were only suitable for exchangeable metals. In short, the rhizosphere-based method was the most robust approach for evaluation of bioavailability of heavy metals in soils to wheat.     

Integrated assessment for aerobic biodegradability of organic substances

In this paper, the amount of oxygen consumption, end products and activities of microorganisms are considered as the three factors which affect the biodegradability of organic substances in water. Two integrated assessment methods for biodegradability of organic substances, fuzzy clustering integrated assessment and weighted integrated assessment, have been developed. Simultaneously, the detail steps for assessing a new organic substance biodegradability with these two integrated assessment methods are proposed.     

The influence of pH on the degradation of phenol and chlorophenols by potassium ferrate

This paper presents information concerning the influence of solution pH on the aqueous reaction between potassium ferrate and phenol and three chlorinated phenols: 4-chlorophenol (CP), 2,4-dichlorophenol (DCP), 2,4,6-trichlorophenol (TCP). The redox potential and aqueous stability of the ferrate ion, and the reactivity of dissociating compounds, are known to be pH dependent. Laboratory tests have been undertaken over a wide range of pH (5.8-11) and reactant concentrations (ferrate:compound molar ratios of 1:1 to 8:1). The reactivity of trichloroethylene was also investigated as a reference compound owing to its non-dissociating nature. The extent of compound degradation by ferrate was found to be highly pH dependent, and the optimal pH (maximum degradation) decreased in the order: phenol/CP, DCP, TCP; at the optimal pH the degree of degradation of these compounds was similar. The results indicate that for the group of phenol and chlorophenols studied, the presence of an increasing number of chlorine substituent atoms corresponds to an increasing reactivity of the undissociated compound, and a decreasing reactivity of the dissociated compound.     

Progress in developing an ANN model for air pollution index forecast

An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO₂ and NO_x, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM₁₀, SO₂, and NO₂. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied.     

农药污染地下水的微生物治理及含水层渗透性变化研究

采用了从农药厂阿特拉津生产车间排污口污泥中分离出的菌种AT菌 ,进行了农药阿特拉津污染地下水微生物治理的模拟实验研究 ,在实验条件 (T =10℃ ,pH =7.5 )与野外含水层的条件基本一致情况下 ,难于生物降解的污染质阿特拉津的一次投菌降解率可达 3 1.0 8% ;设计了两种有效细菌的投放方式以模拟野外条件下的菌种投加条件。另外 ,AT菌的作用会造成被治理含水层的渗透性能降低 ,两种投菌方式下 ,实验后含水层的渗透系数分别下降 60 .5 4%和 3 4 5 6%。清水冲洗 10d的渗透性恢复率分别为 48.96%及 81.3 6% ,说明清水渗透恢复的方法效果明显     

微波加热对活性炭表面基团及其对SO2吸附性能的影响

采用了微波加热技术,通过在不同微波功率和辐射时间条件下对不同粒径活性炭进行改性,研究了改性前后活性炭的表面化学基团、元素组成的变化,以及对SO2吸附性能的影响.结果表明,经过微波改性后活性炭的SO2吸附性能大为提高,微波功率是影响改性活性炭脱硫性能的主要因素.活性炭经微波热处理后,酸性基团发生分解,表面含氧量减少,碱性特征增强,是吸附性能增加的主要原因之一.     

油泥废弃物的生物修复技术研究

本文利用正交试验 ,探讨了堆腐法处理油泥废弃物过程中调控因子 (肥料、客土、水分和 pH)的影响。结果发现 ,投加一定量的客土是影响处理效果的重要因子。通过正交试验选择和确定的最佳处理条件为 :在自然温度 >2 0℃的情况下 ,客土投加量 2 0 %、肥料 10 %、菌剂 5 %、控制水分 30 % (烘干基 )和pH 7。优化条件的建立为油泥废弃物的深度处理提供了理论依据