矿区土壤中砷污染对微生物群落的影响研究

采用梯度培养和PCR-DGGE技术,对大柳塔矿区矸石山及周边土壤的砷含量及其对土壤微生物群落的影响进行了研究,并通过测序研究了土壤微生物群落的结构。结果表明,矸石山及其周边自然表土的含水量较少,且十分相近;全磷和有机质含量普遍较高,p H呈中偏碱性;不同风化程度矸石山土壤砷含量对土壤微生物群落有显著的影响,不同砷污染负荷土壤中微生物群落的丰度存在差异;矸石山复垦年限不同,土壤理化性质会发生变化;土壤中砷含量的增高,对植物生长起关键作用的Gemmatimonas(甲烷单毛菌属)等微生物群落受到不同程度的抑制;Proteobacterium(变形菌门)具有较强的耐砷性;矸石山土壤特有的理化性质可为GASP-WA2W2_F11等微生物群落的演替创造了条件。     

Expert software that matches remediation site and strategy

Expert software-based decision support is speeding the process of defining environmental hazards and identifying remedial responses for the U.S. Department of Energy's (DOE) hazardous waste cleanup projects throughout the United States. Pacific Northwest Laboratories' (PNL) Remedial Action Assessment System (RAAS), and associated Technology Information System (TIS), written for Macintosh computers (soon for PC-compatible computers), sort through an encyclopedic data base to help environmental engineers prepare the most appropriate remedial strategy. The system has been available to DOE and other U.S. government engineers since last year and will soon be commercially available.     

Establishing aquatic restoration priorities using a watershed approach

Since the passage of the Clean Water Act in 1972, the United States has made great strides to reduce the threats to its rivers, lakes, and wetlands from pollution. However, despite our obvious successes, nearly half of the nation's surface water resources remain incapable of supporting basic aquatic values or maintaining water quality adequate for recreational swimming. The Clean Water Act established a significant federal presence in water quality regulation by controlling point and non-point sources of pollution. Point-sources of pollution were the major emphasis of the Act, but Section 208 specifically addressed non-point sources of pollution and designated silviculture and livestock grazing as sources of non-point pollution. Non-point source pollutants include runoff from agriculture, municipalities, timber harvesting, mining, and livestock grazing. Non-point source pollution now accounts for more than half of the United States water quality impairments. To successfully improve water quality, restoration practitioners must start with an understanding of what ecosystem processes are operating in the watershed and how they have been affected by outside variables. A watershed-based analysis template developed in the Pacific Northwest can be a valuable aid in developing that level of understanding. The watershed analysis technique identifies four ecosystem scales useful to identify stream restoration priorities: region, basin, watershed, and site. The watershed analysis technique is based on a set of technically rigorous and defensible procedures designed to provide information on what processes are active at the watershed scale, how those processes are distributed in time and space. They help describe what the current upland and riparian conditions of the watershed are and how these conditions in turn influence aquatic habitat and other beneficial uses. The analysis is organized as a set of six steps that direct an interdisciplinary team of specialists to examine the biotic and abiotic processes influencing aquatic habitat and species abundance. This process helps develop an understanding of the watershed within the context of the larger ecosystem. The understanding gained can then be used to identify and prioritize aquatic restoration activities at the appropriate temporal and spatial scale. The watershed approach prevents relying solely on site-level information, a common problem with historic restoration efforts. When the watershed analysis process was used in the Whitefish Mountains of northwest Montana, natural resource professionals were able to determine the dominant habitat forming processes important for native fishes and use that information to prioritize, plan, and implement the appropriate restoration activities at the watershed scale. Despite considerable investments of time and resources needed to complete an analysis at the watershed scale, the results can prevent the misdiagnosis of aquatic problems and help ensure that the objectives of aquatic restoration will be met.     

温度对沉水植物腐解释放DOM及微生物群落多样性的影响

在5,10,20,35℃下研究了黑藻和马来眼子菜腐解过程中DOM的特性、细菌和真菌群落结构多样性的变化.结果表明,腐解结束时5,10,20,35℃下黑藻的干物质剩余量分别为初始干物质质量的59.13%、43.91%、32.61%和29.57%,马来眼子菜的干物质剩余量分别为初始干物质质量的69.13%、51.3%、30.87%和29.57%.升高温度一定程度上促进了植物有机碳和全氮释放,对全磷无明显影响（P>0.05）.采用平行因子分析法得到黑藻中含有2种类腐殖酸组分C1、C2和1种类蛋白质组分C3,马来眼子菜中含有3种类腐殖酸组分C1、C2和C3.温度升高使得腐解水体中DO和电导率的变化程度加剧,总体上4种温度下2种植物腐解水体中DO均呈现先下降后上升的趋势.通过高通量测序得到腐解前期（0~16d）参与黑藻和马来眼子菜腐解的主要细菌分别为变形菌门（Proteobacteria）和拟杆菌门（Bacteroidetes）;腐解中后期（16~68d）参与黑藻和马来眼子菜腐解的细菌分别以厚壁菌门（Phylum Firmicutes）和变形菌门（Proteobacteria）为主,温度对细菌群落结构无明显影响,而参与2种植物腐解的真菌均以子囊菌（Ascomycetes）最为活跃.     

西安市典型道路扬尘排放清单及化学组分

道路扬尘是城市大气颗粒的主要来源之一,扬尘中含有的重金属、碳质组分和水溶性离子会危害人体健康 . 为研究西安市道路扬尘的排放量及颗粒物的化学组分,在西安市环路、主干路、次干路和支路设监测点,采集了 141个道路积尘样品,估算了不同类型道路的积尘负荷 . 采用 AP-42 模型估算了不同类型道路的扬尘排放因子,建立了 2018 年西安市道路扬尘 PM_2.5和 PM₁₀的排放清单,分析了道路扬尘颗粒物的化学组分 . 基于西安市路网分布、GIS信息和车流量对道路扬尘 PM_2.5和 PM₁₀的排放量进行了空间分配 . 结果表明,西安市机动车道、非机动车道和人行道的积尘负荷分别为（0.88±0.83）、（2.62±2.23）和（1.41±1.42）g·m^-2. 按道路长度加权平均的扬尘中 PM_2.5和 PM₁₀的排放因子分别为 0.22和0.93 g·km^-1·veh^-1. 2018 年西安市道路扬尘...     

Magnetic Nanocrystalline Cellulose: Azithromycin Adsorption and In Vitro Biological Activity Against Melanoma Cells

Journal of Polymers and the Environment - This study reports a simple methodology of obtaining magnetic nanocrystalline cellulose under very mild conditions employing only Fe2+ as the iron source,...     

3种水生植物腐解过程中磷营养物质迁移、转化过程研究

室内模拟沉水植物狐尾藻(Myriophyllum verticillatum L)、浮水植物菱角(Trapa bispinosa Roxb)、挺水植物荷花(Lotus flower)在5.7 g·L~(-1)初始生物量密度下的腐解过程,并探究该过程中磷营养物质迁移、转化规律.结果发现,3种植物腐解速率在第2 d上升至最大值(分别为1.075、1.455、1.16 g·d~(-1))后出现下降-上升-下降的变化规律,并且在整个腐解周期内种间差异性显著(p0.01),造成整个腐解周期内狐尾藻、菱角、荷花3种植物平均磷释放速率分别为0.456、0.670、0.537 mg·g~(-1),且以无机磷酸盐为主;水中释放的磷在底泥吸附及其自身沉降等作用下,明显向底泥迁移转化,水中磷含量下降,最终在试验结束时恢复至初始水平(0.5 mg·L~(-1));该研究可为湖泊水生植被系统的修复或重建提供科学参考.     

控释氮肥减量配施对土壤氨挥发和N2 O排放的影响

施用控释氮肥是提高氮素利用效率、减少氮素损失的重要途径.为研究聚合物包膜氮肥与普通尿素配比减量施用对旱作棕壤氨挥发和N₂O排放的影响,利用15N同位素标记技术,通过5个不同氮肥施用量处理,分析施肥后土壤的氨挥发和N₂O排放规律以及玉米的当季氮肥利用率.结果表明:①土壤氨挥发主要出现在施肥后的前2周,普通尿素氨挥发速率最大可达4.04 kg/（hm2·d）,最大值出现在施肥后第7天,施用配比包膜氮肥氨挥发峰值出现时间比普通尿素延迟2 d,且氨挥发总量明显降低,为2.15 kg/（hm2·d）.②对于各处理下的氨挥发总量,无氮处理（CK）为3.69 kg/hm2,常规尿素处理（NU）为18.64 kg/hm2,配比控释氮肥处理（PU1）为9.39 kg/hm2,减量配比控释氮肥处理（PU2）为6.44 kg/hm2,再减量配比控释氮肥处理（PU3）为5.02 kg/hm2.③N₂O排放规律呈现先平稳后升高的趋势,较高的N₂O排放通量集中在施肥后的55~91 d之间.N₂O排放峰值最高的是常规尿素处理,在施肥后第79天出现,达到0.299 mg/（m2·h）,施用配比包膜氮肥N₂O排放峰值均低于常规尿素处理.④施用配比包膜氮肥玉米产量高于普通尿素处理,减量配比包膜氮肥不会降低玉米产量.⑤土壤氨挥发总量与施氮量呈显著正相关.施用配比包膜氮肥相比于普通尿素可显著减少土壤氨挥发,减量配施氮肥相比于全量施肥可显著减少土壤氨挥发.因此,施用配比包膜氮肥,可在保证粮食产量的前提下减少氮肥投入,降低氮肥的气态损失,从而降低环境风险.      

雅鲁藏布江中游河流生态系统健康状态对水环境因子的响应

河流生态健康评价是保护河流生物多样性、遏制河流水环境恶化趋势的前提,为探究雅鲁藏布江中游河流生态系统健康状态及其对水环境因子响应机制,于2021年的7月和10月在雅鲁藏布江中游进行浮游植物样品的采集和水环境因子的测定,鉴定浮游植物物种并计算其细胞丰度和生物量,构建浮游植物完整性指数评价该河段河流生态健康状态,分析水环境因子和浮游植物群落时空分布特征、P-IBI值和群落参数与水环境因子的相关性.结果表明,水环境因子在时间上差异不明显,在空间上有显著的差异;浮游植物平均细胞丰度和平均生物量大小为：丰水期>枯水期以及干流>支流,硅藻在群落中占绝对优势,pH和WT是驱动浮游植物时空分布的主要水环境因子;雅鲁藏布江中游生态健康状态整体为"健康-亚健康",河流健康状态枯水期优于丰水期、支流优于干流,EC、TUR、WT、NO₃^--N和NH₄⁺-N是影响该河段生态健康状态的主要水环境因子,可通过影响水体中浮游植物群落演替的方向和速率,参与和影响河流生态系统的物质循环和能量流动过程,驱动了雅鲁藏布江中游河流生态健康状态.