催化光度法测定环境样品中痕量钒的研究

研究了在磷酸介质中,利用高碘酸钾氧化罗丹明B测定环境样品中痕量钒的方法,最大吸收波长530nm,表观摩尔吸光系数2.71×10~8L·mol~(-1)·cm~(-1),在0～30ng/25mL范围内符合比耳定律,用于测定自来水和小麦中钒的含量,结果令人满意。     

铁碳法处理味精废水试验研究

采用铁碳法处理高浓度味精废水 ,试验结果表明 ,以铸铁屑作为接触材质提高pH效果优于不锈钢 ,以铸铁屑作为接触材质与废水反应 2h后pH可由 1 .97提高至 4 .88;铁碳反应后出水调节 pH至碱性时COD去除率随 pH升高逐渐上升 ,pH提高至 9.0时COD去除率可达 52 .5 % ;废水 pH由 1 .96提高至 4 .88时Fe2 + 浓度差为 3395mg/L。     

水样中镉镍的两次双波长分光光度法测定

研究采用两次双波长分光光度法 ,一次采用双峰双波长法 ,一次采用系数补偿法同时测定水样中的镉和镍。实验结果表明 ,以 5 Br PADAP为显色剂 ,镉和镍的最大吸收峰分别为 544 .8nm和 559.2nm ,最小吸收峰均为 430nm ;镉镍的线性范围为 1～ 1 6μg/ 2 5mL。此法的灵敏度同单波长法相比有明显的提高 ,应用于合成和电镀水样中的镉镍的测定 ,均得到了满意的结果。     

系统故障演化过程不连续现象的原因及消除方法研究*

为研究系统故障演化过程中,通过原因事件得到的结果事件发生可能性与直接试验得到的结果事件发生可能性不同的问题,定义系统故障演化过程的不连续现象,研究不连续现象出现的原因和消除方法。根据不连续现象的程度将原因分为3层,第1层是基本的原因事件、结果事件或传递的概率错误造成的不连续;第2层是因素对应错误造成的概率错误;第3层是演化结构不清造成的错误。针对这些错误提出消除方法,基本方法包括试验法、结构分析法和逻辑推理法;第2层次使用空间故障树和因素空间等方法;第3层使用三值逻辑等方法。研究结果表明:导致不连续的原因是演化过程的结构性问题,消除的方法应根据实际情况进行选择和变化。     

A COST‐BENEFIT ANALYSIS OF WATER QUALITY PROTECTION IN THE CATAWBA BASIN1

ABSTRACT: The primary objective of this study was to perform a cost‐benefit analysis of maintaining the current level of water quality in the Catawba River basin. Economic benefits were estimated using a stated preference survey method designed to value respondents' willingness to pay for a management plan to protect water quality in the Catawba basin over time. From the surveys conducted with 1,085 area residents, we calculated an annual mean willingness to pay of $139 for the management plan, or more than $75.4 million for all taxpayers in the area. Over the five‐year time horizon in which respondents were asked to pay for the management plan, this resulted in a total economic benefit of $340.1 million. The Watershed Analysis Risk Management Framework model was used to estimate the amount of management activities needed to protect the current level of water quality in the basin over time. Based on the model results, the total cost of the management plan was calculated to be $244.8 million over a ten‐year period. The resulting cost‐benefit analysis indicated that the potential benefits of this management plan would outweigh the costs by more than $95 million.     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

沈阳市某装备制造产业园地下水污染物运移模拟研究

为摸清沈阳市某装备制造产业园地下水污染运移规律,科学指导当地生态环境管理部门开展工作,以该园区为研究对象,采用有限差分法,建立了该区域地下水水流数值模型,并利用地下水数值模拟软件(GMS软件)模拟预测了连续源强和瞬态源强污染物泄漏情景下1年、5年、10年及20年后污染物在地下水中的运移情况.经计算得到结论如下:①连续源...     

电子废弃物中持久性有机污染物分析检测方法的研究进展

针对目前电子废弃物中持久性有机污染物(POPs)尚未形成有效快速分析检测方法的问题,介绍了溶剂萃取、固相萃取、微波萃取和超临界流体萃取等POPs前处理技术的研究进展,总结了POPs的分析方法,如:气相色谱、液相色谱、气相色谱-质谱法、高分辨率气相色谱-高分辨质谱法等化学分析方法,以及生物传感器测定法、表面胞质团共振检测法、酶联免疫检测法等生物分析方法。分析了各方法的优劣,并提出了展望。     

哈大绥城市“十三五”期间大气环境容量分析

根据2016—2020年哈尔滨市、大庆市、绥化市(以下称哈大绥)国控环境空气自动监测站的SO₂、NO₂、PM_2.5监测资料,统计年鉴中行政区划、污染物排放及气象等监测数据,分析哈大绥区域环境空气质量的变化趋势和测算因子,采用A值法核定了哈大绥区域SO₂、NO₂、PM_2.5的大气环境容量。结果表明:哈大绥SO₂、NO₂、PM_2.5 3项污染物采暖季的大气环境容量均呈逐年递增趋势。通过计算环境承载能力发现,哈大绥SO₂、NO₂、PM_2.5 3项污染物在非采暖季均具有高承载能力,哈大绥非采暖季环境容量高于采暖季。哈尔滨的个别污染物仍然处于临界超载状态,为减少重污染天气,应进一步削减采暖季污染物排放量。     

基于多种方法的长江上游小流域水质综合评价

选取大河和巴关河流域2018—2022年水质监测数据,运用单因子评价法、Spearman秩相关系数法、综合污染指数法和主成分分析法,对流域水质状况、变化趋势及主要污染物特征进行综合评价分析。结果表明:2018—2022年,大河流域水质未达到地表水Ⅲ类标准;流域整体综合污染指数超过了1,为重污染,下游污染程度较重;营养指标和有机污染物指标存在显著正相关。巴关河流域水质达到了地表水Ⅲ类标准;流域整体综合污染指数未超过1,为中污染,上游污染程度较重;营养指标、有机污染物指标和重金属指标等均呈现出不同程度的相关性。巴关河流域水质总体优于大河流域。TP、NH₃-N、COD_Mn、COD_Cr和BOD₅是影响大河流域和巴关河流域水质的主要因子,均属于有机型及富营养化污染指标,主要来自生活源和农业源。建议选择适宜的评价方法开展系统性小流域污染溯源,分河段有针对性地开展小流域水环境治理。