TEMPORAL CHANGES IN THE YADKIN RIVER FLOW VERSUS SUSPENDED SEDIMENT CONCENTRATION RELATIONSHIP1

ABSTRACT: Dynamic linear models (DLM) and seasonal trend decomposition (STL) using local regression, or LOESS, were used to analyze the 50‐year time series of suspended sediment concentrations for the Yadkin River, measured at the U.S. Geological Survey station at Yadkin College, North Carolina. A DLM with constant trend, seasonality, and a log₁₀ streamflow regressor provided the best model to predict monthly mean log₁₀ suspended sediment concentrations, based on the forecast log likelihood. Using DLM, there was evidence (odds approximately 69:1) that the log₁₀ streamflow versus log₁₀ suspended sediment concentration relationship has changed, with an approximate 20 percent increase in the log₁₀ streamflow coefficient over the period 1981 to 1996. However, sediment concentrations in the Yadkin River have decreased during the decade of the 1990s, which has been accompanied by a concomitant increase in streamflow variability. Although STL has been shown to be a versatile trend analysis technique, DLM is shown to be more suitable for discovery and inference of structural changes (trends) in the model coefficient describing the relationship between flow and sediment concentration.     

浙江省酸雨的空间分布格局及其未来变化趋势预测

利用浙江省1992、2002年的酸雨监测数据,并利用RAINS-ASIA模型模拟了1990-2030年浙江省酸雨前体物(SO2)的排放量,以及酸沉降超临界负荷面积占研究区域面积比例的变化情况.结果表明,浙江省的酸雨分布范围不断扩大、危害程度不断加重;未来一个时期内,SO2排放量都会维持在较高的水平;酸沉降超临界负荷面积所占比例在经历较快的增长阶段之后,会维持在较为恒定的水平,并呈现出明显的时滞性.     

三峡库区地质灾害监测技术及展望

笔者综述了三峡库区地质灾害监测技术的应用现状。在论述当前地质灾害监测技术存在的问题的基础上,提出了新型的基于Internet的地质灾害远程、集中监测系统,并详细讨论了该技术的原理、结构、应用前景以及功能完善和发展方向。新型安全监测系统的使用可有效防止库区地质灾害的发生,控制其潜在危害;提高库区整体预警管理水平,有效增强防灾减灾能力;显著降低库区安全监测系统运行成本。     

上海城区典型空气污染过程中细颗粒污染特征研究

采集了上海城区2009年10月10~21日期间2次空气污染过程的样品,在对污染过程分析的基础上,着重分析了PM2.5及其化学组分的变化,探讨了污染源及形成机制.研究表明,14日的灰霾过程主要由本地排放的污染物二次转化形成,PM2.5占PM10比重超过60%且PM2.5中离子组分含量高.17~19日的浮尘过程中,受北方沙尘影响本市粗颗粒浓度上升,PM2.5所占比重下降,二次离子组分从细颗粒物向粗颗粒物转移且Ca2+浓度上升,同时受到长江三角洲区域秸秆焚烧的影响,细颗粒物中K+, EC和OC含量高.因此,应在控制本地源排放的同时,加强对细颗粒尤其是二次细颗粒污染及其前体物的协同控制.     

2013 — 2016年西安市臭氧时空变化特性与影响因素

臭氧污染主要是由前体物氮氧化物（NO_x）和挥发性有机物（VOC）的过量排放引起的,通过NO_x/?SO₂的比值可得知西安地区已经受到了光化学烟雾型污染的影响,大气中臭氧含量与NO_x的含量相关性较高;西安13个站点的8小时平均浓度分布变化大体可分为单峰变化和持续递减类型,浓度主要集中在0?—?90 μg???m^?3,不同站点臭氧含量相差较大;2013?—?2016年,高新西区臭氧超标天数最多,为146天,是超标天数最少的兴庆小区的2倍多。高浓度臭氧主要出现在高温度、低湿度、实时风向为东南风或南风的天气。此外,治理臭氧污染必须限制机动车尾气排放,同时研究表明来自秦岭的植物VOC对于西安臭氧浓度影响很大。     

Evaluation of soil washing process with carboxymethyl-β-cyclodextrin and carboxymethyl chitosan for recovery of PAHs/heavy metals/fluorine from metallurgic plant site

Polycyclic aromatic hydrocarbons(PAHs)/heavy metals/fluorine(F) mixed-contaminated sites caused by abandoned metallurgic plants are receiving wide attention. To address the associated environmental problems,this study was initiated to investigate the feasibility of using carboxymethyl-β-cyclodextrin(CMCD) and carboxymethyl chitosan(CMC) solution to enhance ex situ soil washing for extracting mixed contaminants. Further,Tenax extraction method was combined with a first-three-compartment model to evaluate the environmental risk of residual PAHs in washed soil. In addition,the redistribution of heavy metals/F after decontamination was also estimated using a sequential extraction procedure. Three successive washing cycles using50 g/L CMCD and 5 g/L CMC solution were effective to remove 94.3% of total PAHs,93.2% of Pb,85.8% of Cd,93.4% of Cr,83.2% of Ni and 97.3% of F simultaneously. After the 3rd washing,the residual PAHs mainly existed as very slowly desorbing fractions,which were in the form of well-aged,well-sequestered compounds; while the remaining Pb,Cd,Cr,Ni and F mainly existed as Fe–Mn oxide and residual fractions,which were always present in stable mineral forms or bound to non-labile soil fractions. Therefore,this combined cleanup strategy proved to be effective and environmentally friendly.     

水污染的计算机模拟

本文给出了水源污染过程的计算机模拟方法.建立了水污染方程.提出了水污染微分方程组中各系数的实验确定办法.本模拟适用于水库之类的准封闭水系.也适用于有源有漏的一段河道,不要求进水量和出水量相等.污物种类的多寡不受限制.可以模拟只有本底污染的水源的人为污染过程,也可以模拟已污染水源的再污染或净化过程.模拟时间的长短任意.模拟的结果,除综合结论外、还列表输出水体的含氧浓度及若干种主要无机污物(或难降解的有机污物)的积累浓度,以及它们的坐标式变化曲线.     

Geochemistry of heavy metal-contaminated sediments from the Four River inlets of Dongting lake,China

Environmental Science and Pollution Research - The concentrations of major and trace elements in the sediments from the Four River inlets of Dongting Lake were analysed. The results show that the...     

Synthesis of efficient Y-Bi2WO6/G visible light photocatalysts with high stability for pollutant degradation

Environmental Science and Pollution Research - For effective photocatalytic pollutant degradation on bismuth tungstate (Bi2WO6), it is vital to enhance the photogenerated charge separation and the...     

Polycyclic aromatic hydrocarbon and n-alkane pollution characteristics and structural and functional perturbations to the microbial community: a case-study of historically petroleum-contaminated soil

Characterization of the typical petroleum pollutants, polycyclic aromatic hydrocarbons (PAHs) and n-alkanes, and indigenous microbial community structure and function in historically contaminated soil at petrol stations is critical. Five soil samples were collected from a petrol station in Beijing, China. The concentrations of 16 PAHs and 31 n-alkanes were measured by gas chromatography-mass spectrometry. The total concentrations of PAHs and n-alkanes ranged from 973 ± 55 to 2667 ± 183 μg/kg and 6.40 ± 0.38 to 8.65 ± 0.59 mg/kg (dry weight), respectively, which increased with depth. According to the observed molecular indices, PAHs and n-alkanes originated mostly from petroleum-related sources. The levels of ΣPAHs and the total toxic benzo[a]pyrene equivalent (ranging from 6.41 to 72.54 μg/kg) might exert adverse biological effects. Shotgun metagenomic sequencing was employed to investigate the indigenous microbial community structure and function. The results revealed that Proteobacteria and Actinobacteria were the most abundant phyla, and Nocardioides and Microbacterium were the important genera. Based on COG and KEGG annotations, the highly abundant functional classes were identified, and these functions were involved in allowing microorganisms to adapt to the pressure from contaminants. Five petroleum hydrocarbon degradation-related genes were annotated, revealing the distribution of degrading microorganisms. This work facilitates the understanding of the composition, source, and potential ecological impacts of residual PAHs and n-alkanes in historically contaminated soil.