中国环境基准研究重点方向探讨

环境基准是环境标准的科学依据,在国家环境质量评价和风险管理体系中处于基础地位。它主要是依据特定对象在环境介质中的暴露数据,以及与环境要素的剂量效应关系数据,通过科学判断得出的,涉及环境化学、毒理学、生态学、流行病学、生物学和风险评估等前沿学科领域。国家环境基准研究是一个长期的系统工程,本文基于环境基准研究的学科特点和国际前沿,结合国家科技需求和相关领域的研究现状,综合分析并提出了未来中国环境基准研究的重点研究方向:1)环境基准的理论与方法学;2)环境基准基础数据库;3)基准目标污染物的筛选甄别和优先排序技术;4)水体营养物基准;5)生物测试与毒性评价技术;6)人体暴露评价理论与相关技术;7)环境基准的审核和校对;8)环境基准与标准转化理论及其对环境管理支撑技术。本文从环境基准学科发展的角度,阐述了与环境基准研究紧密相关的8个重点研究方面的国内外研究进展、关键科学问题以及未来重点研究内容。同时指出,这些重要的研究方向是环境基准研究的根本,未来环境基准的长期战略发展必将是建立在各个重要方向长足发展的基础之上,环境基准研究也必带动这些方向的共同蓬勃发展,为环境地球化学、毒理学、生态学等学科领域发展注入活力。     

江西钨矿周边土壤重金属生态风险评价:不同评价方法的比较

对江西省大余县某钨矿区周边的农田土壤进行调查分析,并采用不同的方法对土壤进行评价,结果表明,土壤As、Pb、Zn、Cu和Ni的含量范围分别为15.33—154.65 mg·kg-1、156.29—346.98 mg·kg-1、47.73—277.72 mg·kg-1、19.06—210.24 mg·kg-1和12.00—35.11 mg·kg-1,一些土壤样点的As、Pb、Zn和Cu含量已超过国家土壤环境质量二级标准.利用地累积指数法对土壤进行评价,结果表明土壤均受到As、Pb、Zn、Cu和Ni不同程度的污染;根据CPI(综合污染指数)评价标准,65.7%的土壤处于污染状态;利用TCLP法对土壤生态风险进行评价,结果显示所有土壤并未受到重金属的污染,以内梅罗综合污染指数法对土壤进行综合评价,结果表明该农田土壤重金属生态风险处于安全范围;以潜在生态危害指数法评价,发现Pb、As和Cu达到或超过中等生态风险的样点分别占37.14%、25.72%和2.86%,其他重金属污染风险均属轻微以下.不同评价方法得出的评价结果有差异,人们在评价重金属污染土壤时要根据评价的目的慎重选择合适的评价方法.     

被动加标在水生生态风险评价中的应用——以多氯联苯分配系数的测定为例

准确的水生生态风险评价需要可靠的毒性数据,而其获取要求在一定时间范围内,水体中污染物的浓度保持恒定。对疏水性有机污染物进行水体生物毒性测试时,通常采用有机溶剂加标,然而该方式可能因为污染物的挥发和降解、容器壁吸附、生物摄取等问题,水体中污染物浓度持续下降,导致污染物的浓度-效应关系难以明确。近期为了克服这些问题,被动加标用于替代溶剂加标,通过污染物在加标体系中平衡分配来维持精确和恒定的水体浓度,同时还可通过测定加标聚合物中污染物的浓度来监测水体浓度。首先介绍了被动加标方法及其材料选择,讨论了该方法在生态风险评价中的主要应用,包括分配系数的测定、体外细胞测试、体内生物积累及毒性测试,以及沉积物毒性评价等。然后,以测定代表污染物多氯联苯在聚二甲基硅氧烷与水间的分配系数为例,详细说明被动加标的操作流程。最后,讨论了被动加标方法的优缺点,并对其在水生生态风险中的应用前景进行了展望。     

异噻唑啉酮类杀菌剂对黑斑蛙胚胎和蝌蚪的急性毒性

异噻唑啉酮类杀菌剂1,2-苯并异噻唑-3-酮（BIT）和甲基异噻唑啉酮（MIT）虽已在多种行业中广泛使用,但目前有关其毒性尤其对水体中生物毒性的数据还较少。鉴于BIT和 MIT在水体中普遍存在,本文研究了这两种污染物对两栖动物黑斑蛙胚胎和蝌蚪的急性毒性。黑斑蛙胚胎和蝌蚪分别暴露系列浓度的BIT和 MIT,观察化学品对其生长、发育和运动的影响,计算96小时半数致死浓度（96 h-LC₅₀）和96小时半数致畸浓度（96 h-TC₅₀）,确定最小生长抑制浓度（MCIG）。结果发现,BIT对黑斑蛙胚胎的96 h-LC₅₀和96 h-TC₅₀分别为2.99 mg?L^-1和0.60 mg?L^-1,MCIG小于0.40 mg?L^-1,对蝌蚪的96 h-LC₅₀为6.44 mg?L^-1。MIT对黑斑蛙胚胎的96 h-LC₅₀和96 h-TC₅₀分别为5.30 mg?L^-1和2.36 mg?L^-1,MCIG为2.59 mg?L^-1,对蝌蚪的96 h-LC₅₀为7.58 mg?L^-1。根据《化学农药环境安全评价准则报批稿》中两栖动物蝌蚪急性毒性的分级标准,判定BIT和MIT的毒性等级为中等。该毒性数据为异噻唑啉酮类杀菌剂的环境管理提供参考。     

彗星试验技术在水生与土壤环境中的毒理学应用

彗星试验是一种检测真核细胞脱氧核糖核酸(DNA)损伤的技术,快速、低成本、适用于几乎所有真核细胞,因此常应用于遗传毒理学、辐射生物学、肿瘤细胞学、毒性检测等方面。尤其以灵敏度高、检测联合毒性的特点大量运用于环境研究中。主要介绍彗星试验方法学发展历程,彗星试验的原理及其在环境领域中的应用,并指出应用中的受限因素以及未来的发展前景,为今后进一步推广该试验技术提供理论上的指导与参考。     

石墨烯是促进还是抑制嗜酸性氧化亚铁硫杆菌生长?

尽管石墨烯以其独特的光学、电学、力学特性在各大领域都具有广阔的应用前景,但其工业化使用后在环境当中的行为,特别是遗留下的石墨烯对生态系统的毒性研究则鲜见报道.因此,本文以嗜酸性氧化亚铁硫杆菌(Acidithiobacillus ferrooxidans)为目标微生物,探讨不同浓度(1、10、50 mg·L-1)石墨烯对Acidithiobacillus ferrooxidans的毒性效应.结果表明,石墨烯对Acidithiobacillus ferrooxidans的生长有明显抑制作用,且抑制作用随着石墨烯浓度的降低而增强.在石墨烯投加量为1 mg·L-1时,培养48 h后菌株的生长量OD420达到最大值0.045,低于空白组的0.163;并且其可溶性蛋白含量也达到最大值1.546 mg·L-1,低于空白组的3.789 mg·L-1.不同浓度石墨烯对体系p H和ORP均存在不同程度的影响,低浓度下的石墨烯影响最为显著.此外,通过扫描电镜(SEM)和荧光显微镜分析,进一步证实Acidithiobacillus ferrooxidans能在高浓度的石墨烯上生长,而低浓度的石墨烯则会对细胞膜造成损伤,它极其尖锐的边缘是细菌失活的有效机制.因此,石墨烯的毒性具有剂量效应,这一结果可为石墨烯合理利用及评价其生态毒性提供理论依据.     

不同形态的砷水生生物基准探讨及在辽河流域的初步应用

有毒元素砷在我国各流域分布广泛,主要包括三价和五价两种价态,其毒性差别很大,目前我国缺乏本土的砷水质基准研究,而国外的砷水质基准多以总砷表示,科学性有待商榷.因此,本文分别搜集了三价砷、五价砷和总砷对我国本土水生生物的毒性数据,共获得三价砷12属12种,五价砷18种23属,以及总砷25属29种的合格数据.利用美国环保局推荐的物种敏感度排序法,通过数据分析得出,三价砷的急性和慢性基准阈值分别为84.26μg·L-1和56.55μg·L-1,五价砷的急性和慢性基准阈值分别为1171μg·L-1和633.3μg·L-1,总砷的急性和慢性基准阈值分别为264.4μg·L-1和150.7μg·L-1;总砷的基准阈值与美国现行砷基准值相当,而五价砷基准阈值与三价砷基准阈值体现出数量级的差异,因此,需要分价态考虑砷基准的制定.基于推算的砷基准阈值,用商值法评价了辽河流域枯水期总砷暴露的生态风险.检测结果表明,辽河的总砷暴露浓度范围在2.6~82.4μg·L-1之间,全部位点均无风险,但西辽河段上游支流两点位的砷浓度分别超出三价砷慢性基准阈值的1.20和1.45倍,表明可能存在潜在的砷暴露风险.     

Spatiotemporal Associations of Reservoir Nutrient Characteristics and the Invasive,Harmful Alga Prymnesium parvum in West Texas

Golden alga (Prymnesium parvum) is a harmful alga that has caused ecological and economic harm in freshwater and marine systems worldwide. In inland systems of North America, toxic blooms have nearly eliminated fish populations in some systems. Modifying nutrient profiles through alterations to land or water use may be a viable alternative for golden alga control in reservoirs. The main objective of this study was to improve our understanding of the nutrient dynamics that influence golden alga bloom formation and toxicity in west Texas reservoirs. We examined eight sites in the Upper Colorado River basin, Texas: three impacted reservoirs that have experienced repeated golden alga blooms; two reference reservoirs where golden alga is present but nontoxic; and three confluence sites downstream of the impacted and reference sites. Total, inorganic, and organic nitrogen and phosphorus and their ratios were quantified monthly along with golden alga abundance and ichthyotoxicity between December 2010 and July 2011. Blooms persisted for several months at the impacted sites, which were characterized by high organic nitrogen and low inorganic nitrogen. At impacted sites, abundance was positively associated with inorganic phosphorus and bloom termination coincided with increases in inorganic nitrogen and decreases in inorganic phosphorus in late spring. Management of both inorganic and organic forms of nutrients may create conditions in reservoirs unfavorable to golden alga.     

A Modeling System to Assess Land Cover Land Use Change Effects on SAV Habitat in the Mobile Bay Estuary

Estuarine ecosystems are largely influenced by watersheds directly connected to them. In the Mobile Bay, Alabama watersheds we examined the effect of land cover and land use (LCLU) changes on discharge rate, water properties, and submerged aquatic vegetation, including freshwater macrophytes and seagrasses, throughout the estuary. LCLU scenarios from 1948, 1992, 2001, and 2030 were used to influence watershed and hydrodynamic models and evaluate the impact of LCLU change on shallow aquatic ecosystems. Overall, our modeling results found that LCLU changes increased freshwater flows into Mobile Bay altering temperature, salinity, and total suspended sediments (TSS). Increased urban land uses coupled with decreased agricultural/pasture lands reduced TSS in the water column. However, increased urbanization or agricultural/pasture land coupled with decreased forest land resulted in higher TSS concentrations. Higher sediment loads were usually strongly correlated with higher TSS levels, except in areas where a large extent of wetlands retained sediment discharged during rainfall events. The modeling results indicated improved water clarity in the shallow aquatic regions of Mississippi Sound and degraded water clarity in the Wolf Bay estuary. This integrated modeling approach will provide new knowledge and tools for coastal resource managers to manage shallow aquatic habitats that provide critical ecosystem services.     

Methane and nitrous oxide emissions from a subtropical coastal embayment (Moreton Bay, Australia)

Surface water methane (CH₄) and nitrous oxide (N₂O) concentrations and fluxes were investigated in two subtropical coastal embayments (Bramble Bay and Deception Bay, which are part of the greater Moreton Bay, Australia). Measurements were done at 23 stations in seven campaigns covering different seasons during 2010-2012. Water-air fluxes were estimated using the Thin Boundary Layer approach with a combination of wind and currents-based models for the estimation of the gas transfer velocities. The two bays were strong sources of both CH₄ and N₂O with no significant differences in the degree of saturation of both gases between them during all measurement campaigns. Both CH₄ and N₂O concentrations had strong temporal but minimal spatial variability in both bays. During the seven seasons, CH₄ varied between 500% and 4000% saturation while N₂O varied between 128 and 255% in the two bays. Average seasonal CH₄ fluxes for the two bays varied between 0.5 ± 0.2 and 6.0 ± 1.5 mg CH₄/(m²·day) while N₂O varied between 0.4 ± 0.1 and 1.6 ± 0.6 mg N₂O/(m²·day). Weighted emissions (t CO₂-e) were 63%-90% N₂O dominated implying that a reduction in N₂O inputs and/or nitrogen availability in the bays may significantly reduce the bays' greenhouse gas (GHG) budget. Emissions data for tropical and subtropical systems is still scarce. This work found subtropical bays to be significant aquatic sources of both CH₄ and N₂O and puts the estimated fluxes into the global context with measurements done from other climatic regions.