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.     

基于神经网络分类器的城市污水处理厂水力冲击预警系统

提出了一套基于神经网络分类器的城市污水处理厂水力负荷冲击预警系统,以期对进水水量骤增现象进行提前1天的预报,使污水处理厂可根据预报结果提前采取水力冲击防护措施,从而保证各单元的平稳运行.根据进水水量的涨幅将某污水处理厂12年日进水水量监测数据分为"常规"和"冲击"两类,重点对"冲击"数据进行提前1天的预测,并采用冲击漏报率、冲击误报率和报准率对模型的预测精度进行评价;同时,基于同样的建模方法和不同的训练、验证样本建立了N(1)、N(2)和N(3)3个平行模型,以对模型的鲁棒性和建模方法的可重复性进行考察.结果显示,3个模型对2010年、2011年和2012年3年测试样本的预测效果良好,冲击漏报率和报准率两项指标数值均较为稳定,分别在0~0.167和0.981~0.995之间浮动,冲击误报率虽然在数值上的浮动较大,最低为0.143,最高为0.500,平均为0.310,但仍在工程上的可承受范围内.该结果表明,本研究基于神经网络分类器所建立的3个神经网络模型预测精度高、鲁棒性好,显示出良好的性能,有望为污水处理厂水力冲击防护工作提供有力参考.     

应用概率物种敏感度分布法研究太湖重金属水生生物水质基准

目前广泛使用的水质基准推导方法—物种敏感度分布法存在曲线拟合模型不确定、曲线拟合效果不佳、种内差异欠考虑、基准值不准确等诸多问题,概率物种敏感度分布法可有效解决上述问题。应用概率物种敏感度分布法构建了太湖水体中5种重金属Ag、Pb、Cd、Hg和Zn的概率物种敏感度分布曲线,在此基础上得到了保护水生生物的急性水质基准分别为1.079μg·L~(-1)、637.973μg·L~(-1)、19.465μg·L~(-1)、8.729μg·L~(-1)和105.506μg·L~(-1),慢性水质基准分别为0.108μg·L~(-1)、63.797μg·L~(-1)、1.947μg·L~(-1)、2.340μg·L~(-1)和52.753μg·L~(-1);不同类群间生物对重金属的敏感度存在差异,不同重金属对同一类群生物的毒性也存在差异;通过与国内外已有的重金属水质基准值比较,发现水质基准具有明显的区域性,目前基于国外水质基准或我国整体水域特点来制定的太湖水质标准,往往造成对太湖水生生物欠保护或过保护的状况。     

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.     

水库渗漏水流溶解氧与水温沿程恢复的试验研究

水库底层低温低氧水从坝体下泄或渗漏,可能对下游生态产生不利影响。通过对湖北温峡水库下游温峡河225 km河段的野外试验,测量溶解氧、水温等指标的日变化和沿程变化,开展复氧试验研究阶梯深潭结构和沙洲对溶解氧的影响,并取样分析大型底栖无脊椎动物的沿程分布。结果表明,流速对水温与溶解氧日变化规律无明显影响。试验河段水温和溶解氧恢复很快,经过17 km的河段,水温从123℃升高至300℃,且溶解氧饱和度基本达到饱和。河宽对水温恢复起重要作用,对溶解氧影响较小,对复氧速度基本无影响。流量通过改变淹没程度影响阶梯深潭的复氧能力。溶解氧在沙洲下游存在横向分布,滞水区溶解氧高于左右汊道。溶解氧是水库下游水生态的控制因素,物种多样性随溶解氧的升高而增加     

Cytogenotoxicity and histopathological assessment of Lekki Lagoon and Ogun River in Synodontis clarias (Linnaeus, 1758)

The cytogenotoxicity and histopathological alterations induced by xenobiotics in Lekki Lagoon and Ogun River on Synodontis clarias were investigated. Fish from these water bodies and a fish farm (control) were examined for micronucleated, binucleated, and immature erythrocytes in both gill and peripheral blood. Also gill, liver, kidney, and ovary were processed for histopathology using hematoxylin-eosin staining. Concentrations of cadmium, zinc, lead and copper in the water were determined. There was significant (p < 0.05) increase in micronucleated, binucleated, and immature erythrocytes in both gill and peripheral blood of S. clarias from the lagoon and river compared to the reference site. Loss and disorganization of the primary and secondary lamellae, multifocal degeneration, hemorrhages, cellular infiltration, congestions, vacuolations, atresia, and necrosis were common lesions in the examined tissues of fish from the lagoon and river. Cd, Zn, Pb, and Cu in water samples from the lagoon and river were higher than the reference site. Xenobiotics in Lekki Lagoon and Ogun River, mostly metals, induced deoxyribonucleic acid (DNA) and pathological damage in S. clarias.     

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。     

高盐废水人工湿地处理中耐盐植物的筛选

天津塘沽作为滨海新区核心区,是目前天津发展最快的地区之一。由于本区盐碱土壤等自然条件,污水中盐分含量较高,制约了废水的回用。本文通过模拟人工湿地实验,比较了芦苇（Phragmites australis）、盐地碱篷（Suaeda salsa）、碱蒿（Artemisia anethifo原lia）、黄花鸢尾（Iris wilsonii）、盐角草（Salicornia europaea）和大米草（Spartina anglica）等耐盐植物对轻污染水体中高浓度氯离子的去除能力,筛选出去除能力较强的植物,并确定植物对盐分去除率达到最大时的生态系统条件。结果表明,适合人工湿地的耐盐碱植物对氯离子的去除效果依次为：芦苇＆gt;盐地碱篷＆gt;碱蒿＆gt;黄花鸢尾＆gt;盐角草＆gt;大米草,停留时间一般在第4d时可达到平衡。该研究为利用人工湿地处理高盐废水提供了科学依据。     

船舶区域溢油风险程度甄别的人工神经网络方法

利用误差反向传播 (BP)人工神经网络 ,建立了海域船舶溢油风险程度甄别的评价模型。该模型能够反映出研究海域各区域发生船舶溢油事件的风险等级差别 ,具有一定的客观性和实用性。