δ13C and fatty acid composition of mesopelagic fishes in the South China Sea and their influence factors

Study of the ecology of mesopelagic fishes is central for assessing the active biological pump in the ocean, especially in the mesopelagic layers. The use of δ¹³C and fatty acid analysis can help to analysis the ecology of mesopelagic fishes. Here, we analysed the fatty acid composition of mesopelagic fishes from the continental northern slope of the South China Sea (NSSCS) and compared with nearshore SCS fishes and mesopelagic fishes collected from the Southern Ocean. The mesopelagic fishes had unusually high lipids, which resulted in Δδ¹³C values exceeding 1‰, more than the enrichment factor in the food web. The mesopelagic fishes had higher C18:1n-9/C18:1n-7 and C20:1n-9/ C18:1n-7 ratios compared with other fishes in the SCS, which confirmed that plankton were their main dietary source. The mesopelagic fishes from SCS and Southern Ocean had different ratios of C20:5n-3/C22:6n-3 (EPA/DHA), suggesting geographical locations and diet sources had obvious influence on their fatty acid composition. The SCS mesopelagic fishes had higher C20:4n-6/C22:6n-3 (ARA/DHA) and C20:4n-6/C20:5n-3 (ARA/EPA) ratios than mesopelagic fishes in the Southern Ocean, indicating the influence of physical factors on fatty acid composition. Thus, future studies of the fatty acids in mesopelagic fishes should consider both dietary sources and physical environments.     

The effect of imazethapyr on soil microbes in soybean fields in northeast China

Large quantities of herbicides are used on agricultural soils, but the effects of herbicides on the structure of the soil microbial community have not been well investigated. In this study, soil from three soybean fields was investigated. The herbicide imazethapyr was applied in one year to soil 1 and in two sequential years to soil 2. Control soil received no imazethapyr. Microbial biomass and community structure were characterised using chloroform fumigation–extraction and phospholipid fatty acid (PLFA) determination. The imazethapyr residue was 1.62 μ g·kg^?1 in soil 1 and 1.79 μ g·kg^?1 in soil 2. The microbial biomass carbon and total PLFAs for soil 2 were much higher than for the other soils. PLFA profiles showed that fatty acids for Gram-negative and Gram-positive bacteria, as well as total bacteria and total fungi in soil 2 were higher than in other samples. Principal component analysis of the PLFAs showed that the structure of the microbial community differed substantially among the three different soybean field soils. Application of the herbicide imazethapyr to soybean fields clearly changed the soil microbial biomass and shifted the structure of the microbial community.     

温州市九山外河污染治理技术集成应用与治理成效

阐述了浙江省温州市九山外河污染治理技术的集成应用及治理成效。九山外河的综合整治工程采用了外源调水、底泥生态疏浚、河岸带阻控、人工曝气复氧和生态浮岛等多项技术,整治后的九山外河水体黑臭治理初见成效,水质由原来的劣Ⅴ类水逐步改善为Ⅴ类或Ⅳ类水,水体生境和生物多样性都有了一定的提高;将治理后对河流的实际感受与预期期望进行比较,69．2％的居民认为河流治理工程得分在60分以上,对河流治理总体比较满意。最后,对九山外河治理后管理存在的问题进行了分析并提出了建议与对策。     

Higher sorption of arsenate versus arsenite on amorphous Al-oxide, effect of ligands

Arsenic pollution is currently a major health issue because As is toxic for human beings, animals, and plants. Knowledge of As mobility is therefore important to assess health risk. The sorption of arsenite and arsenate on metal oxides in the presence of various anionic ligands is closely linked to the mobility, bioavailability, and risk. It was reported that the sorption mechanisms and characteristics of arsenite and arsenate on Al-oxides were different from that on Fe-oxides. Previous work reports the sorption of arsenite and arsenate on Fe-oxides in the presence of ligands. Whereas there is few knowledge on the sorption of arsenite and arsenate by Al-oxides in the presence of ligands. Here, we studied the sorption of arsenite and arsenate on amorphous Al-oxide by batch experiments. We tested the effect of organic ligands: oxalate, malate, tartrate, citrate; and inorganic ligands: sulfate, phosphate, selenate, selenite. Results show that amorphous Al-oxide has more sorption affinity for arsenate than arsenite. The inhibition of As sorption by ligands at pH 6 is higher for arsenite than arsenate. For arsenite, the As sorption inhibition decreases in the order phosphate, citrate, malate, selenite, oxalate, tartrate, sulfate, and selenate. For arsenate, the As sorption inhibition decreases in the order phosphate, malate, citrate, selenite, tartrate, oxalate, sulfate, and selenate.     

珠海2019年秋季一次大气污染过程的特征、 成因及来源分析

2019年秋季在珠三角典型沿海城市珠海观测到一次中重度污染过程,本文对此次过程的污染特征、形成机制和来源进行了研究.通过 采集PM_2.5样品,分析了9种水溶性无机离子（WSIIs）、有机碳（OC）、元素碳（EC）和水溶性有机碳（WSOC）等化学组分的浓度水平和污染特征;进一步结合污染过程中的不利天气形势、72 h后向气流轨迹及PM_2.5的潜在源贡献因子（WPSCF）和浓度权重轨迹（WCWT）等方法分析了污染的形成机制和来源.结果表明,有机物（OM）是污染时期PM_2.5中增长最快的组分,其次是占WSIIs约82.46%的SO₄^2-、NO₃^-和NH₄⁺（SNA）. NO₃^-/SO₄^2-均值为0.20,表明珠海以固定源污染为主;硫氧化率（SOR）均值为0.65,氮氧化率（NOR）均值为0.08,高温高湿的气象条件可能是 造成珠海比中国其他城市SOR偏高而NOR偏低的原因.在污染时段,二次有机碳（SOC）明显增加,WSOC/SOC随污染物的升高而降低并趋近于1,因此, 污染时期的WSOC可能主要是二次生成的.副高控制型、台风外围型和高压出海型等天气形势控制着整个珠三角地区时,不利于污染物的传输和扩散,使污染加剧.后向气流轨迹分析表明,污染时期的气团轨迹主要来自于高污染的内陆地区,这可能是造成此次污染形成的重要原因和来源.WPSCF和WCWT的高值区主要集中在江西、广东等内陆地区,因此,珠海在控制本地排放的同时,也应该关注上风向临近省市的污染排放.     

一种基于工作流模型的系统运行评估方法

复杂信息系统各功能正常运行依赖于内部各数据处理节点之间的高效协作和数据交互。针对复杂信息系统运行情况评估的需求,提出了一种基于工作流模型的评估方法,能够依据系统运行过程中各节点之间的数据交互关系建立模型,通过该模型对系统的记录数据进行自动化处理,实现系统整体运行情况、各节点运行情况以及各项功能完成情况的统计和分析,实现故障问题的隔离和定位。     

滨海滩涂不同围垦年代垦区农作物重金属累积特征及其与氮、磷的关系

为探明滨海滩涂围垦区农作物重金属累积特征及其与围垦年代、作物氮磷含量及化学计量比的关系,采集盐城地区不同围垦年代(围垦20、30、40、60年)农田4种主要作物(大麦、小麦、油菜、蚕豆)样品63个,测定了其根、茎叶和籽粒中Cd、Cu、Zn、Pb、Hg、As及全氮(N)、全磷(P)和粗蛋白(CP)含量,分析了重金属累积特征及与围垦年代、N、P、CP及N/P比的关系,并采用单因子污染指数法和内梅罗综合污染指数法对重金属污染程度和安全水平进行了评价。结果表明,1)围垦农田作物整株各指标含量分别为Cd (0.52±0.94)、Cu (12.98±16.00)、Zn (34.93±27.91)、Pb (3.50±5.88)、Hg (0.0063±0.0063)、As (1.94±3.72) mg·kg~(-1)及N(13.69±8.27)、P (5.98±2.24)、CP (79.55±49.54) g·kg~(-1);籽粒中则分别为(0.0059±0.020)、(1.83±1.48)、(11.13±4.45)、(0.09±0.30)、(0.0023±0.0036)、(0.0021±0.0048) mg·kg~(-1)及(19.21±7.68)、(6.04±1.64)、(111.78±47.81) g·kg~(-1); 2)作物重金属均表现为根茎叶籽粒,N和CP与之相反,表现为根茎叶籽粒,而P则表现为根籽粒茎叶; 3)不同围垦年代之间作物重金属、N、P、CP含量、N/P比及综合污染指数(Pz)均没有显著差异(P0.05); 4)各作物籽粒6种重金属单因子污染指数均值均小于1,除个别样品Pb超标(超标率11%)外,其他重金属均未超标; 5)作物籽粒重金属Pz均值为0.38,表明该地区作物重金属总体处于安全级,但大麦、小麦、油菜籽粒均有样品Pb含量超过警戒线,个别样品甚至达到重度污染水平; 6)作物整株各重金属之间、重金属与P之间均存在显著正相关(P0.01),而重金属与N、CP、N/P存在显著负相关(P0.01),在籽粒中则相关性均不显著(P0.05)。以上结果显示,盐城滨海滩涂围垦区作物重金属累积与围垦时间关系不大,其含量目前尚处于可接受范围内,但Pb污染值得关注,作物重金属与P之间存在一定的相互促进作用,而与N存在一定的拮抗作用,高氮低磷的机体养分状况有助于降低重金属含量。     

Selenium status of children in Kashin–Beck disease endemic areas in Shaanxi,China: assessment with mercury

Environmental Geochemistry and Health - The causes of Kashin–Beck disease (KBD) in children are multifactorial, and particular consideration has been given to childhood selenium (Se)...