Positive matrix factorization as source apportionment of soil lead and cadmium around a battery plant (Changxing County,China)

Chemical compositions of soil samples are multivariate in nature and provide datasets suitable for the application of multivariate factor analytical techniques. One of the analytical techniques, the positive matrix factorization (PMF), uses a weighted least square by fitting the data matrix to determine the weights of the sources based on the error estimates of each data point. In this research, PMF was employed to apportion the sources of heavy metals in 104 soil samples taken within a 1-km radius of a lead battery plant contaminated site in Changxing County, Zhejiang Province, China. The site is heavily contaminated with high concentrations of lead (Pb) and cadmium (Cd). PMF successfully partitioned the variances into sources related to soil background, agronomic practices, and the lead battery plants combined with a geostatistical approach. It was estimated that the lead battery plants and the agronomic practices contributed 55.37 and 29.28 %, respectively, for soil Pb of the total source. Soil Cd mainly came from the lead battery plants (65.92 %), followed by the agronomic practices (21.65 %), and soil parent materials (12.43 %). This research indicates that PMF combined with geostatistics is a useful tool for source identification and apportionment.     

Assessing heavy metal pollution in the surface soils of a region that had undergone three decades of intense industrialization and urbanization

Heavy metals in the surface soils from lands of six different use types in one of the world’s most densely populated regions, which is also a major global manufacturing base, were analyzed to assess the impact of urbanization and industrialization on soil pollution. A total of 227 surface soil samples were collected and analyzed for major heavy metals (As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, and Zn) by using microwave-assisted acid digestion and inductively coupled plasma–mass spectrometry (ICP-MS). Multivariate analysis combined with enrichment factors showed that surface soils from the region (>7.2?×?10⁴ km²) had mean Cd, Cu, Zn, and As concentrations that were over two times higher than the background values, with Cd, Cu, and Zn clearly contributed by anthropogenic sources. Soil pollution by Pb was more widespread than the other heavy metals, which was contributed mostly by anthropogenic sources. The results also indicate that Mn, Co, Fe, Cr, and Ni in the surface soils were primarily derived from lithogenic sources, while Hg and As contents in the surface soils were controlled by both natural and anthropogenic sources. The pollution level and potential ecological risk of the surface soils both decreased in the order of: urban areas?>?waste disposal/treatment sites?～?industrial areas?>?agricultural lands?～?forest lands?>?water source protection areas. These results indicate the significant need for the development of pollution prevention and reduction strategies to reduce heavy metal pollution for regions undergoing fast industrialization and urbanization.     

Recycling EDTA solutions used to remediate metal-polluted soils

The objective of this research was to investigate the recycling of ethylenediamine-tetraacetic acid (EDTA) used for the removal of trace metals from contaminated soils. We successfully used Na2S combined with Ca(OH)2 to precipitate the trace metals allowing us to recycle the EDTA. The results of batch and column leaching experiments show that both Ca-EDTA and Na-EDTA are powerful chelating agents with a similar soil remediation potential. The major advantage of Ca-EDTA is the preservation of soil organic matter. We found that Na2S was capable of separating the metals Cd, Cu and Pb from EDTA; however, the precipitation of Zn required the addition of Ca(OH)2. After reusing the reclaimed EDTA seven times, over a 14-day period, EDTA reagent losses ranged from 19.5% to 23.5%. Successive washing cycles enhanced the removal of trace metals from contaminated soils. The metal sulfide precipitates contain high concentrations of metals and could potentially be recycled.     

造纸中段废水与生活污水合并深度处理工艺

采用水解酸化 CAST 混凝 复合滤池与水解酸化 接触氧化 混凝 复合滤池2种组合工艺对造纸中段废水与生活污水进行合并处理对照试验.结果表明,两种工艺都是切实可行的,二级出水均可达到<污水综合排放标准>(GB8978-1996)二级标准,深度处理出水可达中水水质要求.其中以水解酸化 CAST 混凝 复合滤池组合工艺效果最好.     

上海市机动车尾气VOCs组成及其化学反应活性

采用钢罐采样-气相色谱/质谱法,采集并分析了上海市主要交通干道和隧道废气样品中挥发性有机物(VOCs)的污染水平。分析结果表明,交通干道和隧道废气样品的总挥发性有机污染物(TVOC)质量浓度分别为(227.1±40.9)、(2209.9±1228.0)μg/m3;隧道废气样品中的TVOC浓度是交通干道平均浓度的4.3～15.2倍;交通干道废气样品中VOCs主要组分与隧道废气样品中VOCs主要组分非常类似,说明交通干道废气样品中VOCs主要来源于机动车尾气排放。交通干道废气样品中TVOC的.OH消耗速率为(17.21±4.49)s-1,延安东路隧道和打浦路隧道废气样品中TVOC的.OH消耗速率分别为(300.37±120.78)、(138.09±25.30)s-1,烯烃对TVOC的.OH消耗速率贡献最大,其对废气化学反应活性贡献率在70%以上。交通干道和隧道废气样品中关键活性组分是C2～C5的烯烃组分,这些组分也是机动车尾气中的特征污染物,因此可以判断机动车尾气是上海市大气化学反应活性的最大贡献者。     

CS/PEG/PFT膜制备及对含铜废水的处理

实验将溶胶凝胶法和高分子辅助倒相法结合,制备出一种新型的壳聚糖/聚乙二醇/亚铁氰化钾钛(CS/PEG/PFT)复合膜,通过FT-IR和SEM对膜进行表征后,将其用于模拟铜废水的吸附和脱附实验,并探究出膜吸附的最佳工艺条件为:p H 5.50、实验温度55℃、实验时间2 h,该条件下,膜对铜离子最大吸附量为9.85 mg/g,去除率达到95%以上。CS/PEG/PFT膜的除铜过程符合Langmuir等温吸附方程(y=0.0597x+0.0168),线性相关度达到0.9917。     

基于数值模式的环境空气质量预报影响因素和改进方法

数值预报是各地开展环境空气质量业务预报的主流预报方法之一。模式预报产品、基础输入资料、外部技术支持、主客观预报偏差和预报命中概率等诸多因素均会不同程度地影响数值模式预报效果,研究探讨了上述因素对数值模式预报效果的影响及其针对性的改进方法,以期降低预报偏差,改善业务预报整体效果,为各地提高业务预报质量提供方法思路和技术参考。     

高海拔排土场边坡安全稳定性的PS⁃InSAR监测

为了解决高海拔排土场边坡灾害监测难度大以及安全稳定性预警等问题,提出利用 PS-InSAR 技术对高海拔排土场边坡进行安全稳定性监测分析。通过对西藏山南桑日县某排土场边坡进行监测分析研究,采用 2018 年 11 月 04 日至 2020 年 12 月 23 日的 25 景 Sentinel-1A 数据,利用时序差分干涉相位的时空分析方法,进行差分干涉、模型迭代计算和地理编码等解算,解算得到平均形变速率分布,基于平均形变速率结果分析该排土场边坡的安全稳定性。结果表明：利用 PS-InSAR 技术能够获取排土场边坡区域的地表形变信息;该研究区域坡体 2018 年 11 月至 2020 年 12 月的平均形变速率最大值为 -20.00 mm/a,最大形变速率区域出现在排土场边坡的下部 ;通过 PS-InSAR 技术能够对其安全稳定状态进行准确评价,并进行预警预报,为排土场边坡的安全稳定服役提供有效技术保证。     

黄龙景区红岩关沟的泥石流及防治

红岩关沟为四川松潘县黄龙风景名胜区内涪江上游一条支沟,曾发生过严重的泥石流灾害.该地的泥石流具有活动频繁、危害严重、容重大、固体物质粒径粗、以及主要以沟岸滑坡、崩塌、沟床堆积物补给为主等特点.本文分析了该地泥石流的形成、流体性质、类型等基本特征,预测了泥石流的发展趋势,提出了治理措施.     

"深圳-巴彦浩特"地理样带土地利用与水旱灾害研究

在建立1990-2000年“深圳-巴彦浩特“地理样带水旱灾害数据库的基础上,结合样带1995、2000年两期的土地利用数据,分析了样带水旱灾害的区域差异,及其与样带土地利用时空格局的关系.结果表明,样带水旱灾害呈现较强的南北差异,北方以旱灾为主,南方以水灾为主;土地利用结构对样带水旱灾害有较强的影响,土地利用类型复杂的县市有较高的水旱灾害发生率,而土地利用类型单一的县市则受水旱灾害影响较小.水灾主要出现在样带南部多种土地利用类型混杂的县市,特别是城镇建设用地比例较高的地区,水灾相对更为频繁;旱灾在缺乏灌溉水源且以耕地和草地为主要土地利用类型的区域发生频率较高.