外加镍在土壤中的形态与再分配

镍处理土壤经室内培养12周后,采用连续提取技术对试验土壤中镍的形态与再分配方式进行了研究。研究结果表明,外加的水溶性镍进入土壤后的主要存在形态与添加的剂量有关:低剂量时,以铁锰氧化态为主,这一形态在100mg·kg-1处理土壤中占比例最大,达到31.6%;高剂量时,以交换态为主,这一形态在1600mg·kg-1处理土壤中占比例最大,达到48.4%。随着镍添加剂量由0(对照)增加到1600mg·kg-1,再分配系数逐渐由1.00增大到30.65;金属结合强度系数则由0.90减小至0.25,也反映出进入土壤中镍的剂量较大时,镍是以不稳定的形态占优。试验结果也证实了土壤具有减小镍的环境危害的作用,但这种缓冲能力是有限的。随着时间的推移,镍的形态会继续发生变化,但这一转化过程是缓慢的。因此,一旦土壤发生重金属污染,其对土壤环境的影响将是长期的。     

取代芳烃对绿藻、斜生栅列藻急性毒性的自相关拓扑指数

本文提出新的原子生物活性值 (ai) ,由其建构自相关拓扑指数 ( mL) . 1 6种氯代芳烃对绿藻的急性毒性 ( -lgEC50 )与其0 L ,1L的回归方程为 :-lgEC50 =0 6 1 99+2 6 1 6 3× 1 0 - 6　1L2 5+ 0 0 0 92 0 L ,r=0 936 3. 1 8种苯酚、苯胺类化合物对斜生栅列藻的急性毒性 ( -lgEC50 )可以表示为 :-lgEC50 =1 1 374 + 0 1 4 4 71L0 6+ 0 0 0 2 70 L,r=0 95 35 .用Jackknife法检验 ,以上模型具有总体稳健性 .     

Geochemical Characteristics of the Acid Mine Drainage in the Water System in the Vicinity of the Dogye Coal Mine in Korea

This study investigated geochemical characteristics of the acid mine drainage (AMD) discharged from the abandoned mine adits in the vicinity of the Dogye coal mine in Korea. Acid mine drainage discharged from Jeoncha pit adit of the Dogye coal mine, which is the main source of the AMD in the study area, had a pH value of 3.0 and concentrations of 2148mg SO₄ ^2– L^–1, 229mg Fe L^–1, 71mg A1 L^–1 and 11mg Mn L^–1. The reduction of some metal concentrations downstream from the discharge point could be explained on the basis of dilution and precipitation. The order of removal of metal ions downstream from the discharge point was Fe>A1, Cu>Zn, Mn. Acidity could be used as a good determining factor offering comprehensive and quantitative values for the polluting extent of acid mine drainage. The acidities existing in all acidic water samples in the Gunahan district originated primarily from mineral acidity, especially in the upper Nahan Creek from dissolved Fe and Al and in the middle and down Nahan Creek from dissolved Al. From the application of the WATEQ4F program, it was determined that predominant species of dissolved Fe in all water samples was Fe²⁺, and those of dissolved Al were AlSO₄ ⁺ and Al³⁺ except for IW2 sample which was associated with white precipitates. The species of dissolved Al in IW2 sample include also AlOH²⁺ and Al(OH)₂ ⁺. The saturation indices of goethite and haematite were positive in the water samples associated with ochrous precipitates (usually called Yellow Boy), therefore these solids might be precipitated. For the IW2 sample, the saturation indices of amorphous Al(OH)₃ and gibbsite were positive, so theoretically these solids might also be precipitated. By XRD analysis, it was found that goethite occurs in ochrous precipitates, and gibbsite in white precipitates.     

南京地区农业资源的综合评价研究

客观、准确地评价地区农业资源,对于农业资源的开发和利用具有重要意义。本文从系统论观点出发,将地区农业资源分成自然资源和社会资源,在能够较好地反映系统结构特征、不同样点差异及满足易于收集、便于数量表示和定量处理等基本要求的基础上,选择了若干评价指标。利用综合指数法、区位商法等评价方法,对南京地区的主要农业资源（土地资源、气候资源与社会资源）进行了定量分析,并在此基础上,利用资源优势度分析法进行了综合评价。结果表明,南部小区的农业资源具有整体优势,南部和中部的资源利用较为合理,北部小区则具有较为丰富的后备资源。最后,根据各地资源要素的不同组合,简要给出了较适宜的开发途径,为该地农业资源的进一步开发与利用提供了依据。     

哈尔滨市增设空气质量监测点位研究

分析哈尔滨市空气污染的现状、特征和变化趋势,对现有监测点位监测数据的代表性进行回顾性评估,确定增设点位的必要性.进行拟增设点位周围大气污染源调查,收集相关气象资料,进行城市建设规划及土地利用规划调查,划分一定的网格开展空气质量监测,采用数学统计方法对监测数据进行处理,初步确定测点位置.进行指标检查及技术论证,最终确定增设监测点位.     

用油品的物理特性鉴别海面的溢油源

建立了用油品的物理特性鉴别海面溢油源的分析方法。主要对海面溢油风化过程中溢油的运动粘度和折射率的变化进行了探讨。结果表明 ,在所给出的多个油种的风化过程中 ,油种间的运动粘度变化存在着明显的差异。随着风化时间的延长 ,原油的运动粘度随着风化时间的延长而显著增加 ,重质燃料油虽略有递增却很不明显 ;轻质燃料油和润滑油的运动粘度均在缓慢地增加。润滑油和燃料油的折射率无明显的变化。运动粘度法鉴别溢油的准确度较高 ,其准确率可达 10 0 %。     

农田土壤中的磷向水体释放的风险评价

通过对比土壤的固磷能力和磷素水平可以评估不同类型土壤中的磷向水体释放的风险。研究表明，磷吸持指数（SI）可以作为土壤最大吸磷量的替代指标来表征土壤的固磷能力。在太湖地区，影响水土界面磷素迁移能力的主要因素是土壤有效磷水平和土壤固磷能力。SI值30左右为一临界值，SI大于此值的土壤对于施磷具有较大的缓冲能力，而SI低于此值的土壤对施磷非常敏感，磷流失风险将随施磷量的增加而呈直线上升趋势。     

多环芳烃的零阶价分子连接性指数与正-辛醇/水分配系数

本文建立了准确预测多环芳烃(PAHs)及其烷基衍生物的正-辛醇/水分配系数(Kow)模型。模型表明PAHs的分配性质可用零阶价分子连接性指数(~°x~v)描述,~°x~v数值与PAHs的logKow成正比。应用本模型可以预测大范围PAHs的logKow值。     

农药污染环境质量评价

本文根据计算排毒系数的方法确定了主要污染源和污染物,又根据食入、饮进、呼吸等量建立了权重系统,由此而计算了中国不同农业区域的污染指数。结果表明,重污染区集中在长江、黄河流域的粮、棉产区,而且我国农业环境中BHC、DDT污染程度是向南或向北逐渐减弱。     

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.