不同区域气候条件影响下的纳帕海湿地植物叶绿素荧光特性

采用原位移地技术,研究了不同区域气候条件影响下,纳帕海4种常见湿地植物的株高、茎粗、生物量等生长特性,以及叶绿素a、叶绿素b、总叶绿素含量、叶绿素a/b值、光化学量子效率（Fv/Fm）、电子传递速率（ETR）、实际光化学量子效率（Phips2）、光化学猝灭系数（qP）、非光化学猝灭系数（NPQ）等生理生化指标,分析探讨了湿地植物对不同区域气候条件的响应差异和适应策略。研究发现气候条件的改变对湿地植物的生长、叶绿素含量及荧光参数产生重要影响。随着温度的上升,水葱Scirpus tabernaemontani和茭草两种广布种Zizania caduciflora均表现出良好的适应性,生物量、叶绿素含量、Fv/Fm、ETR、Phips2、qP值不同程度升高,生长状况良好。刘氏荸荠Heleocharis liouana也表现出较好的适应性,当气温上升到一定程度后,虽然Fv/Fm、ETR、Phips2、qP值降低,但其通过调节叶绿素含量、热耗散来减轻伤害,气候变化对其生长的影响较小。而北温带分布型的黑三棱Rhizoma scirpi yagarae对气候变化的适应性较差,当温度上升到一定程度后, Fv/Fm、ETR、Phips2、qP、NPQ都出现大幅下降,生长停滞,生物量下降,对温度上升极为敏感。可以推测,随着全球变暖,像黑三棱这样的物种,其生存将面临极大的威胁,而高原湿地生态功也将能受到损害。     

渤海典型海域表层沉积物正构烷烃特征比较

对渤海典型海域表层沉积物正构烷烃特征进行比较研究.分别采集葫芦岛市近岸海域(1#)、东营市近岸海域(2#)、营口市近岸海域(3#)9个站点的表层沉积物样品,经索氏提取、柱净化后进行GC-MS分析.结果表明,各站位都表现为双峰型,显示了陆源与海源双重贡献特征,但主导峰各不相同;正构烷烃含量(∑n-alk)均值分别为5.43μg.g-1、2.27μg.g-1、4.30μg.g-1;三海域碳优势指数CPI、奇偶优势指数OEP、姥鲛烷和植烷比值Pr/Ph等特征比值基本相同,指示混合来源及中性偏氧化的沉积环境;C31/C19均值分别为11.19、4.51、6.73,短/长链比值L/H均值分别为0.50、1.48、1.31,类脂物比值TAR均值分别为3.61、1.03、1.19,综合显示葫芦岛市近岸海域正构烷烃来源主要为陆源高等植物,而营口及东营近岸海域沉积物正构烷烃更多来源于内生浮游生物源及石油源,三海域沉积物受人类污染影响程度从高到低分别为2#海域(东营)>3#海域(营口)>1#海域(葫芦岛市),且东营近岸海域沉积物受石油污染特征明显.这些特征都与3个海域周边城市发展与污染输入特征有直接的关系.     

杂合抗菌肽LPCB在毕赤酵母中的表达条件优化

为获取能表达具有天然活性的杂合抗菌肽的重组酵母菌,确定其最佳表达条件,将构建好的重组酵母表达载体pPICZα-A-CecropinB(1～10)-Magainin2(1～12)(简称pPICZα-A-CBMA)和pPICZα-A-Lfcin-Pro-CecropinB(简称pPICZα-A-LPCB)经SacⅠ线性化处理,分别电转入巴斯德毕赤酵母Pichia pastoris X-33,利用抗生素Zeocin筛选阳性克隆,PCR扩增验证,甲醇诱导表达.采用抑菌圈法初步测定产物活性,优化杂合肽LPCB诱导时间、诱导剂浓度、诱导温度、培养基pH等表达条件,传代检测其质粒稳定性.结果显示,基因工程菌P.pastoris X-33/pPICZα-A-CBMA和P.pastoris X-33/pPICZα-A-LPCB成功构建.表达产物前者抑菌活性微弱,后者抑菌活性良好.杂合肽LPCB的最佳表达条件为:25℃,pH中性培养,每24 h添加0.5%(V/V,φ)甲醇,诱导表达72 h.重组酵母菌pPICZα-A-LPCB在培养超过100代后,未发生质粒丢失.     

Threshold management in a coupled economic–ecological system

Economic analysis of optimal ecosystem management in the presence of a threshold has typically ignored the potential for induced behavioral responses. This paper contributes to the literature on non-convex ecosystem management by considering the implications of a particular behavioral response in a regional economy – that of amenity-led growth – to changes in ecosystem services generated by a lake ecosystem subject to a eutrophication threshold. The essential policy challenge is to achieve optimal levels of lake nutrients and urbanization given that improvements to water quality will induce additional migration and urbanization in the region with attendant ecological impacts. We show that policies that ignore the recursive relationship between urbanization and water quality unintentionally exacerbate boom-bust cycles of regional growth and decline and risk pushing the system towards long-run economic decline. In contrast, the optimal policy accounts for the behavioral feedbacks to improved ecosystem services, and balances regional growth and ecological degradation.     

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods.     

Evaluation of the relationship of picoplankton and viruses to environmental variables in a lagoon system (Çakalburnu Lagoon,Turkey)

Lagoons are defined as wetlands separated from the sea coasts on which they are located and sit between continental and marine aquatic ecosystems. Çakalburnu Lagoon is a coastal wetland on the southern side of the Bay of ?zmir. Microorganisms, which are quite sensitive to changes occurring in environmental factors, are commonly used to determine the impact of environmental effects on the functioning of the ecosystem. In this study, variations in the abundance and biomass of picoplankton (Synechococcus spp. and bacteria) and the abundance of viruses, which identify the ecological productivity of the food chain, were seasonally examined by epifluorescence microscopy. Moreover, the microbial abundance and biomass relation over time between the physical and chemical parameters was evaluated. According to our results, the maximum abundance of Synechococcus spp. and viruses was 6.7?×?10⁴ cell/ml and 9.9?×?10⁸?cell/ml in the summer, respectively. Otherwise, the highest level of bacteria was measured at 3.6?×?10⁷ cell/ml in the spring. Based on the principal component analysis and Pearson correlation analysis results, we concluded that total suspended solids, Chl-a, particulate organic carbon and particulate organic nitrogen were the major parameters influencing the observed variability of the lagoon system. Overall, to protect and improve the ecological and microbiological quality of aquatic systems such as lagoons, the necessary monitoring and measurement studies should be conducted in these sensitive areas.     

北京不同污染天气PM_(2.5)和PM_(10)染毒对大鼠生理病理参数的影响

为探讨北京不同污染天气大气可吸入颗粒物PM_(10)和细颗粒物PM_(2.5)污染对雄性大鼠血常规、氧化损伤、炎症反应和肺组织的影响,将64只雄性8周龄Wistar大鼠随机分为8组,分别为2个对照组(空白组和生理盐水组)和6个染毒组(清洁、雾霾及沙尘暴3种不同天气的PM_(10)染毒组和PM_(2.5)染毒组),每组8只。用2015年3月—5月在北京南海子麋鹿苑采集的清洁、雾霾和沙尘暴3种不同天气的PM_(10)和PM_(2.5)制备悬液,分别采用气管滴入PM_(10)和PM_(2.5)悬液作为染毒组,空白对照组不做任何处理,生理盐水对照组采用气管滴注生理盐水。急性染毒24 h后处死大鼠。采集血液测定18个血常规指标,分析肺泡灌洗液(BALF)中转化生长因子-β1(TGF-β1)、乳酸脱氢酶(LDH)、总抗氧化能力(T-AOC)、白介素-6(IL-6)及肿瘤坏死因子-α(TNF-α)的含量,并在高倍显微镜下观察肺组织和气管病理形态变化。同时,对PM_(10)和PM_(2.5)中的水溶性离子、有机碳/元素碳、16种多环芳烃和7种重金属等元素进行了测定,并分析了各组分与大鼠生理病理指标的相关性。结果表明:清洁、沙尘暴天气的PM_(10)和雾霾天气的PM_(2.5)急性染毒导致大鼠白细胞系参数即免疫力显著下降。污染天气颗粒物染毒后大鼠BALF氧化炎症因子的改变表明呼吸系统受到感染:沙尘暴和清洁天的PM_(10)染毒均显著提高了TGF-β1,雾霾PM_(10)染毒后IL-6和LDH有一定程度升高。3种天气颗粒物染毒对肺和气管造成的组织病理伤害各有特点,但PM_(2.5)伤害程度普遍大于PM_(10)。染毒颗粒物粒径大小,其化学成分类别、浓度是造成大鼠血常规指标变化、氧化炎症反应和组织学病变的可能原因。     

基于小波分解及遗传BPNN耦合模型的地表水As浓度预测研究

随着工业的快速发展,水体中污染物超标事件时有发生,造成了较严重的水环境污染问题.水环境监测与预报是环境科学研究的重要内容.为了实现地表水砷（As）污染的准确预报,本研究提出小波分解、遗传算法与BP人工神经网络的耦合建模方法,并结合某河流监测站1998—2016年共19年的地表水质监测数据,通过皮尔逊相关系数和信息指标评价法对模型输入变量进行筛选,最后对比分析了在不同水质参数输入情况下BP人工神经网络（BPNN）、遗传算法改进的BPNN（GABP）、小波-遗传BPNN耦合模型（W-GABP）对后6年（2011—2016年） As浓度预测结果的均方根误差（RMSE）、决定系数（R²）、平均绝对百分比误差（MAPE）,以确立最优模型.结果表明：①多水质参数BPNN、GABP与W-GABP耦合模型预测结果的MAPE分别为17.51%、15.98%、14.46%,单水质参数BPNN、GABP与W-GABP耦合模型预测结果的MAPE分别为18.78%、16.74%、7.83%;②小波分解数据前处理及遗传算法均能较大程度地提高预测模型的精度;③对于地表水水质预报,需对比不同模型在不同输入变量下的预测结果,以获得最佳的预测精度.单水质参数输入的W-GABP耦合模型能较准确地预报地表水As浓度的变化情况,对数据缺乏地区水质监控和地表水As污染防治具有重要意义.     

基于EMD-MFOA-ELM的瓦斯涌出量时变序列预测研究

为准确分析工作面绝对瓦斯涌出量的非平稳特征,实现瓦斯涌出量的准确预测,基于经验模态分解(EMD)、修正的果蝇优化算法(MFOA)和极限学习机(ELM)基本原理,构建瓦斯涌出量的EMD-MFOA-ELM多尺度时变预测模型。通过EMD将瓦斯涌出量时变序列进行深层次分解,获得多尺度本征模态函数(IMF);采用MFOA-ELM对各IMF时变序列建立动态预测模型,等权叠加各预测值,得到模型最终预测结果。以晋煤某矿瓦斯涌出量监测时序样本为例进行研究分析,结果表明:EMD能充分挖掘出监测数据隐含信息,有效降低数据复杂度;该模型预测相对误差为0.024 3%~0.651 0%,平均值仅为0.252 6%,预测精度和泛化能力高于未经EMD分解模型,能很好地适用于非平稳时变序列预测。     

BDE-47对2种海洋微藻光合特性的影响

研究了不同浓度的2,2′,4,4′-四溴联苯醚(BDE-47)对2种海洋微藻的光合特性的影响. 结果表明, 在试验所设定的浓度范围内 (0.1~2.5μg/L),海水小球藻和赤潮异弯藻的PSII最大光能转化效率(Fv/Fm)、光化学淬灭系数(qP)未受到显著抑制,表明2种微藻PSII反应中心在试验过程中未受到损伤.当BDE-47浓度为2.5μg/L时,海水小球藻的PSII潜在活性(Fv/Fo)、PSII实际光能转化效率(φPSII)和光合电子传递效率(ETR)在96h受到显著抑制,而赤潮异湾藻的3个参数在暴露期间均未受到抑制,表明赤潮异湾藻对BDE-47的耐受性强于海水小球藻.各叶绿素荧光参数中, Fv/Fo、φPSII、ETR更适合作为指示海洋环境中BDE-47污染水平的生物标志物.