便携式水质采样器的研制与应用

本文阐述了一种新型便携式水质采样器（实用新型专利ZL20082004001．9）的研制过程。介绍了采样器的工作原理、结构组成、技术特点,分析了其适用性。该采样器的主要优点是便携性好,使用方便,采样定位准确,所采水样均匀性好,并有效解决了低水位排污口的采样难题。     

水深梯度对荆三棱(Scirpus yagara)生长的影响

研究湿地植物对水深梯度的响应对于湿地修复具有重要的指导意义.在南四湖湖边滩地上的人工修复湿地中开展水深梯度对荆三棱(Scirpus yagara)生长的影响研究,试验观测水深分别为-10、0、10、20、30 cm共5个梯度.结果显示:随着水位的升高,1)荆三棱的株高、基茎、叶长和叶宽均有所增加,当水位大于10 cm时各项指标增加更为显著;2)生物量呈增加趋势,而根茎比则逐渐减小,水位为30 cm时的生物量和根茎比分别为-10 cm时的2.67倍和58.15%;3)叶绿素含量总体呈增加趋势,但在不同水位间的差异不明显(P>0.05);4)叶绿素荧光方面,最大光化学量子产量Fv/Fm均在0.75以上,光化学淬灭qP和非光化学淬灭qN分别呈现出升高和下降的趋势.结果表明,在试验所设置的水位条件下(-10～30 cm),荆三棱的生长没有受到水深梯度增加的显著影响,相反表现出随着水深的增加而生长更好的趋势.可见,在试验设置的水深梯度范围内,相对较高的水位有利于荆三棱的生长,因此在湿地管理中应控制适当的高水位以利于其种群的生长和稳定.     

硫酸锰废渣浸出液对斑马鱼的毒性及抗氧化酶活性的影响

已有研究表明,堆积在湘西花垣河河岸的硫酸锰废渣含有多种重金属,可能是导致花垣河河水和沉积物重金属污染的主要原因.为了评价硫酸锰废渣的潜在生态风险和对水生动物的毒性,本研究分析了硫酸锰废渣浸出液中的主要重金属成分,用漫出液对斑马鱼进行了急性毒性实验,观察在急性胁迫下斑马鱼的体征变化,测定了斑马鱼在亚致死浓度下的生化指标的...     

Characteristics of CO2 release from forest soil in the mountains near Beijing

CO₂ release from forest soil is a key driver of carbon cycling between the soil and atmosphere ecosystem. The rate of CO₂ released from soil was measured in three forest stands (in the mountainous region near Beijing, China) by the alkaline absorption method from 2004 to 2006. The rate of CO₂ released did not differ among the three stands. The CO₂ release rate ranged from ??341 to 1,193 mg m^???2 h^???1, and the mean value over all three forests and sampling times was 286 mg m^???2 h^???1. CO₂ release was positively correlated with soil water content and the soil temperature. Diurnally, CO₂ release was higher in the day than at night. Seasonally, CO₂ release was highest in early autumn and lowest in winter; in winter, negative values of CO₂ release suggested that CO₂ was absorbed by soil.     

铜尾矿区9种优势植物体内重金属和氮磷含量研究

以杨山冲铜尾矿废弃地人工覆土上生长的9种优势植物为研究对象,探讨不同植物对尾矿基质中重金属和氮磷的吸收特性以及与基质理化性质之间的关联。土壤样品采集时沿基质垂直方向分为4层：A层（覆土层0~5 cm）、B层（覆土层5~20 cm）、C层（尾砂层20~25 cm）、D层（尾砂层25~40 cm）,植物样品采集时草本植物分地上和地下2部分、木本植物分根、茎和叶3部分采集。结果表明：随着9种植物生长,A层和B层基质理化性质得到明显的改善。主要表现在A层中w（总氮）、w（氨氮）、w（硝氮）、w（有效磷）和w（有机质）显著高于C、D层（P〈0.05）,B层中w（有效态Cu）、w（有效态Zn）显著低于A、C、D层（P〈0.05）。9种优势植物对Cu、Pb、Zn的吸收和积累能力具有明显差异性,其中草本植物以根系积累为主,木本植物以叶片积累为主。草本植物对尾矿基质表现出较强的适应性和耐性,其中毛叶荩草（Arthraxon prionodes）根系中Cu、Pb、Zn的富集量均最大,耐性表现最突出,是较为理想的铜尾矿基质的修复物种。另外,本研究还发现,9种植物体内氮磷质量分数也各不相同,其中木本植物叶中氮磷质量分数均大于根、茎。木本植物体内w（总氮）与w（总磷）、w（Cu）、w（Zn）相关性较好,草本植物体内w（Cu）、w（Pb）、w（Zn）之间相关性较好,表明彼此之间存在一定的促进作用。     

隧道爆破振动影响因素的灰色关联分析

为优化隧道爆破方案,降低爆破振动危害,采用灰色关联分析法(GRA)对爆破振动的影响因素进行分析。首先确定振动速度、主振频率和振动持续时间作为系统特征变量,确定总药量、最大段药量、掏槽孔最大段药量、雷管段数、爆心距、最小延期间隔时间、临空面数等作为相关因素变量;再结合厦门某隧道爆破实测数据,进行灰色关联计算;然后对计算结果进行排序和优势分析,得到爆破振动影响因素的主次顺序,其中准优因素为爆心距,可控准优因素为雷管段数和掏槽眼最大段药量;最后对隧道爆破参数进行优化,测点爆破振速由1.2 cm/s减小到0.74 cm/s,降振率达38.3%。结果表明,采用GRA确定爆破振动主要影响因素,为有效控制爆破振动提供理论依据。     

机械化学法对含氯有机物的脱氯研究进展

评述了机械化学法脱氯的影响因素、反应机制、机械能与脱氯反应转化率的理论分析和脱氯研究中的分析方法.影响机械化学法脱氯效果的重要影响因素为机械能、脱氯剂、脱氯剂与处理物的混合比.脱氯反应中.主要存在脱氯形成自由基以及氢化和聚合反应两种反应路径.机械能与含氯有机物的分解率呈线性关系.     

Spectrophotometric determination of persulfate by oxidative decolorization of azo dyes for wastewater treatment

Persulfate can efficiently decolorize azo dyes through oxidizing these compounds, which enabled us to develop a method of rapid spectrophotometric determination of persulfate for monitoring the wastewater treatment on the basis of the oxidation decolorization of azo dyes. Four azo dyes with different molecular structures were investigated as probes, and the influences of operation parameters including reaction time, solution pH, initial dye concentration, and initial concentration of activator Fe(2+) were checked on the determination of persulfate. Under optimum conditions, the decolorization degree of the dyes responded linearly with persulfate concentration for all the four azo dyes, and the linear range and detection limit were found to be 2.0-150 μmol L(-1) and 0.62 μmol L(-1) for rhodamine B, 2.0-100 μmol L(-1) and 0.42 μmol L(-1) for methylene blue, 4.0-150 μmol L(-1) and 0.50 μmol L(-1) for methyl violet, and 20-150 μmol L(-1) and 8.1 μmol L(-1) for orange II. A persulfate treatment of a spiked wastewater sample was satisfactorily monitored with the new method.     

VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China

Because of the recent growth in ground-level ozone and increased emission of volatile organic compounds (VOCs), VOC emission control has become a major concern in China. In response, emission caps to control VOC have been stipulated in recent policies, but few of them were constrained by the co-control target of PM_2.5 and ozone, and discussed the factor that influence the emission cap formulation. Herein, we proposed a framework for quantification of VOC emission caps constrained by targets for PM_2.5 and ozone via a new response surface modeling (RSM) technique, achieving 50% computational cost savings of the quantification. In the Pearl River Delta (PRD) region, the VOC emission caps constrained by air quality targets varied greatly with the NO_x emission reduction level. If control measures in the surrounding areas of the PRD region were not considered, there could be two feasible strategies for VOC emission caps to meet air quality targets (160 µg/m³ for the maximum 8-hr-average 90th-percentile (MDA8-90%) ozone and 25 µg/m³ for the annual average of PM_2.5): a moderate VOC emission cap with <20% NOx emission reductions or a notable VOC emission cap with >60% NO_x emission reductions. If the ozone concentration target were reduced to 155 µg/m³, deep NO_x emission reductions is the only feasible ozone control measure in PRD. Optimization of seasonal VOC emission caps based on the Monte Carlo simulation could allow us to gain higher ozone benefits or greater VOC emission reductions. If VOC emissions were further reduced in autumn, MDA8-90% ozone could be lowered by 0.3-1.5 µg/m³, equaling the ozone benefits of 10% VOC emission reduction measures. The method for VOC emission cap quantification and optimization proposed in this study could provide scientific guidance for coordinated control of regional PM_2.5 and O₃ pollution in China.     

基于GF-6的翅碱蓬生长密度遥感定量反演

翅碱蓬作为辽东湾湿地典型生境植被,其生长密度可直观地反映盘锦蓝色海湾整治行动修复效果。本研究以高分六号(GF-6)卫星影像为数据源,基于野外实测数据,开展翅碱蓬生长密度遥感定量反演。研究发现：(1)翅碱蓬生物量湿重与各植被指数的相关性比干重更为显著,基于转换型土壤调整指数(transformed soil-adjusted vegetation index, TSAVI)的二次多项式回归分析模型是翅碱蓬生物量遥感反演的最优模型;(2)本研究基于实测数据构建的翅碱蓬生长密度模型,对不同覆盖情况的翅碱蓬群落均具有较好适用性,实测验证R²>0.97,符合生长密度遥感反演精度要求,且算法中的土壤线系数具有一定的鲁棒性。本研究可为滨海湿地保护修复效果评估提供技术支持。