Variation in Vegetation Structure and Soil Properties, and the Relation Between Understory Plants and Environmental Variables Under Different Phyllostachys pubescens Forests in Southeastern China

Biodiversity maintenance and soil improvement are key sustainable forestry objectives. Research on the effects of bamboo forest management on plant diversity and soil properties are therefore necessary in bamboo-growing regions, such as southeastern China’s Shunchang County, that have not been studied from this perspective. We analyzed the effects of different Phyllostachys pubescens proportions in managed forests on vegetation structure and soil properties using pure Cunninghamia lanceolata forests as a contrast, and analyzed the relation between understory plants and environmental variables (i.e., topography, stand and soil characteristics) by canonical correspondence analysis (CCA). The forest with 80% P. pubescens and 20% hardwoods (such as Phoebe bournei, Jatropha curcas, Schima superba) maintained the highest plant diversity and best soil properties, with significantly higher plant diversity than the C. lanceolata forest, and better soil physicochemical and biological properties. The distribution of understory plants is highly related to environmental factors. Silvicultural disturbance strongly influenced the ability of different bamboo forests to maintain biodiversity and soil quality under extensive management, and the forest responses to management were consistent with the intermediate-disturbance hypothesis (i.e., diversity and soil properties were best at intermediate disturbance levels). Our results suggest that biodiversity maintenance and soil improvement are important management goals for sustainable bamboo management. To achieve those objectives, managers should balance the inputs and outputs of nutrients and protect understory plants by using appropriate fertilizer (e.g., organic fertilizer), adjusting stand structure, modifying utilization model and the harvest time, and controlling the intensity of culms and shoots harvests.     

产业调整路径、幅度与能源消耗

经济增长和节约能源要二者兼顾,在促进经济增长的同时,还要减少能源消耗和环境污染,要达到这个目的短期有效的方法是通过产业结构调整来降低能耗水平。本文以制造业各产业为研究对象,用线性支出扩展模型来确定制造业各产业对能源的最低需求量,来指导降低能耗的幅度;用产业能耗比重来反应不同产业的能源消耗水平,用单位能耗产出来反应产业的能耗绩效,用能耗产出弹性来反应产业结构调整的方向。通过控制能耗比重大、单位能耗产出低的产业,可以有效地降低能源消耗。政府可以根据不同产业制定能源消费政策引导产业结构调整,同时通过控制能源价格来调节不同产业对能源的需求。     

兰坪铅锌矿区不同污染梯度下优势植物的重金属累积特征

对兰坪铅锌矿区污染程度不同的3个样地(云南松林、魁蒿群落和马桑灌丛)进行植被调查,选择其中9种共有的自然生长的优势草本植物为研究对象,测定了土壤及植物体的重金属含量。结果显示,3个样地土壤Cu、Cd、Pb和Zn等4种重金属含量均表现为马桑灌丛>魁蒿群落>云南松林;植物体内重金属积累呈现出随着土壤污染程度增加而增加的趋势;所选择的9种植物均不符合超富集植物的标准,依据不同的耐性机制将9种植物分为3类,野棉花能较强吸收土壤中重金属,并转移到地上部分,属于富集型植物;西南金丝梅、倒提壶、长籽柳叶菜、魁蒿、翻白叶和四脉金茅吸收的重金属主要积累在根部,属于根部囤积型植物;尼泊尔蓼和中华山蓼体内重金属含量较低,属于规避型植物。讨论了利用这些植物进行矿山治理。     

镍渣的重金属浸出特性

在分析镍渣的矿物相组成和重金属元素含量的基础上,鉴定了镍渣样品的浸出毒性,并考察了pH、液固比和浸出时间等条件对镍渣样中铬、铅、铜和锌等重金属浸出特性的影响。结果表明,镍渣中的重金属总量约为渣样的0.9%,且铬、铜和锌的含量较高,需进行安全管理。实验所用镍渣样品为第Ⅰ类一般工业固体废物。在强酸条件下镍渣中重金属浸出浓度较大,pH3后浸出浓度显著降低;液固比40 L/kg时,镍渣中重金属不断溶出,液固比40 L/kg后,浸出达到饱和,浸出浓度趋于平衡;随着浸出时间的增加,重金属离子的浸出浓度先增加后减少,但由于各重金属性质不同,各重金属达到最大浸出浓度的时间不同。     

反应气耦合等离子体降解沙林模拟剂

采用水蒸气、氨气、过氧化氢气雾和臭氧4种气体对沙林模拟剂氟磷酸二异丙酯(DFP)进行降解研究,发现臭氧对DFP具有较好的降解作用,在流量200 L/h,DFP初始浓度50 mg/m3时,降解率最高可达56.1%。对高浓度DFP(大于80 mg/m3)进行降解研究时,等离子体单独作用最高降解率为89%,而添加臭氧后的降解率都在95%以上。计算得到臭氧作用的能量利用率为0.05 mg/(W·h),等离子体的能量利用率为0.55 mg/(W·h),而添加臭氧后的等离子体能量利用率为0.68 mg/(W·h)明显高于臭氧和等离子体能量利用率之和,因此对高浓度DFP进行处理时,臭氧与等离子体存在耦合作用。对等离子体和臭氧耦合等离子体降解DFP反应进行了产物分析,发现主要的降解产物基本一致,但是臭氧的存在能使降解更加彻底。     

Aquatic predicted no-effect concentration for three polycyclic aromatic hydrocarbons and probabilistic ecological risk assessment in Liaodong Bay of the Bohai Sea, China

Predicted no-effect concentration (PNEC) is often used in ecological risk assessment to determine low-risk concentrations for chemicals. In the present study, native marine species were selected for toxicity testing. The PNECs for three polycyclic aromatic hydrocarbons (PAHs), specifically phenanthrene (Phe), pyrene (Pyr), and benzo[a]pyrene (BaP), were derived from chronic and acute toxicity data with log-normal statistical methods. The achieved PNECs for Phe, Pyr, and BaP were 2.33, 1.09, and 0.011 μg/L, respectively. In Jinzhou Bay and the Shuangtaizi River Estuary of Liaodong Bay in the Bohai Sea, China, the surface water concentrations of the three PAHs were analyzed by gas chromatography–mass spectrometry. Based on two probabilistic ecological risk assessment (PERA) methods, namely probabilistic risk quotient and joint probability curve, the potential risk of Phe, Pyr, and BaP in Jinzhou Bay and Shuangtaizi River Estuary was assessed. The same order of ecological risk (BaP > Phe > Pyr) was found by both models. Our study considered regional characteristics of marine biota during the calculation of PNECs, and the PERA methods provided probabilities of potential ecological risks of chemicals. Within the study area, further research on BaP is required due to its high potential ecological risk.     

基于高性能GPU计算的城市建筑群震害模拟

为适应不断提高的震害预测需求,精细化模型已经成为城市区域震害预测的主要发展方向。然而传统的基于CPU平台的计算方法成本过高,使得精细化模型的应用受限。近年来,GPU技术由于其强大的并行计算能力和较为低廉的价格优势,在通用计算领域得到了快速的发展和应用。基于GPU-CPU协同计算技术,建立了城市区域震害的计算模拟方法,显著缩短了城市区域震害预测的时间。并采用该方法对某中型城市的真实震害进行了模拟应用,展示了GPU技术在大区域城市建筑群震害模拟中的独特优势。     

火电燃料消费过程对资源环境的影响评估

我国以化石能源为主要燃料的火电生产导致了严重的资源枯竭和环境污染问题,定量评估火电燃料消费对资源环境的影响是区域可持续发展研究的重要内容。在估算火电燃料燃烧及运输、生产过程中排放的主要大气污染物的基础上,利用成分法计算相应的生态足迹,定量评估火电燃料消费过程对资源环境的影响。结果表明：我国1 kW〖DK〗·h火电的燃料消费过程中排放的CO2、CH4、NOx、SO2、烟尘分别为107 kg、993×10-3 kg、646×10-3 kg、260×10-3 kg、202×10-2 kg;全国火电燃料消费占用的生态足迹由2000年的50 67444万hm2,增加到2007年的123 84208万hm2,年均增长1362％;CO2和NOx的生态足迹平均比重高达836％,是影响资源环境的主要因子,SO2、烟尘与CH4三者合计仅164%,对资源环境的冲击相对较小     

Levels and distribution of Dechlorane Plus in coastal sediments of the Yellow Sea, North China

Dechlorane Plus (DP) has been determined in surface sediments from three Chinese coastal bays, e.g. Jiaozhou, Sishili and Taozi Bay in North China. DP concentrations ranged from <1.2 to 187 pg g⁻¹ dry weight (dw) (mean: 24.7 pg g⁻¹ dw) in Jiaozhou Bay, <1.2 to 135 pg g⁻¹ dw (mean 69.9 pg g⁻¹ dw) in Sishili Bay and <1.2 to 66.7 pg g⁻¹ dw (mean: 40.4 pg g⁻¹ dw) in Taozi Bay, respectively. Additionally, two dechlorinated species were quantified, which accounted for 0.6-5.1% of the ∑DP concentration.The f_syn values (syn-isomer/(syn- + anti-isomer)) in sediments from Jiaozhou Bay (mean 0.29) were close to the technical DP mixture (0.2-0.4), probably indicating local inputs of DP. In contrast, sediments in Sishili and Taozi Bay showed much lower f_syn values (mean 0.16). During transportation the DP isomers are subject to stereo selective degradation which partly resulted in the relative enrichment of anti-DP in coastal sediments.     

树脂吸附-Fenton 试剂氧化法预处理炼油碱渣废水

采用树脂吸附-Fenton 试剂氧化组合工艺对某炼油企业炼油碱渣废水进行预处理.实验确定的最佳工艺条件为:3 种树脂串联吸附,废水流量0.33 mL/ min,H2O2加入量0.20 mol / L,n（H2O2）1 n（Fe2 +）= 12,Fenton 试剂氧化进水pH 3,Fenton 试剂氧化反应时间120 m...