灌溉和降雨条件下生态沟渠氮、磷输出特征研究

为了研究长沙县金井河流域农业源头生态沟渠氮和磷的输出特征,对灌溉和降雨条件下及不同季节生态沟渠水体氮、磷的变化特征进行监测研究。研究结果表明：灌溉和降雨期间,生态沟渠中总氮的输出最大值为270 mg/L,其输出的主要形态为氨态氮和硝态氮,总磷的最大值达032 mg/L。灌溉后,生态沟渠氮、磷的输出均呈单调递减变化,在灌溉初期均最高。降雨后,总氮、总磷沿程变化趋势均呈递减变化;生态沟渠对水体总氮、总磷去除率分别达64%、70%;各断面氮、磷的输出随着时间的增加呈先增加后降低的趋势,其中总氮、氨态氮含量在雨后第3 d达到最高,总磷含量在雨后第2 d达到最高。在不同季节中水体氮、磷的变化以冬季总氮、氨态氮和磷浓度最高     

Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown

Stringent quarantine measures during the Coronavirus Disease 2019 (COVID-19) lockdown period (January 23, 2020 to March 15, 2020) have resulted in a distinct decrease in anthropogenic source emissions in North China Plain compared to the paralleled period of 2019. Particularly, 22.7% decrease in NO₂ and 3.0% increase of O₃ was observed in Tianjin, nonlinear relationship between O₃ generation and NO₂ implied that synergetic control of NO_x and VOCs is needed. Deteriorating meteorological condition during the COVID-19 lockdown obscured the actual PM_2.5 reduction. Fireworks transport in 2020 Spring Festival (SF) triggered regional haze pollution. PM_2.5 during the COVID-19 lockdown only reduced by 5.6% in Tianjin. Here we used the dispersion coefficient to normalize the measured PM_2.5 (DN-PM_2.5), aiming to eliminate the adverse meteorological impact and roughly estimate the actual PM_2.5 reduction, which reduced by 17.7% during the COVID-19 lockdown. In terms of PM_2.5 chemical composition, significant NO₃^? increase was observed during the COVID-19 lockdown. However, as a tracer of atmospheric oxidation capacity, odd oxygen (O_x = NO₂ + O₃) was observed to reduce during the COVID-19 lockdown, whereas relative humidity (RH), specific humidity and aerosol liquid water content (ALWC) were observed with noticeable enhancement. Nitrogen oxidation rate (NOR) was observed to increase at higher specific humidity and ALWC, especially in the haze episode occurred during 2020SF, high air humidity and obvious nitrate generation was observed. Anomalously enhanced air humidity may response for the nitrate increase during the COVID-19 lockdown period.     

浏阳河长沙段CODMn、NH3-N和TP综合降解系数研究

采用现场水团追踪法,研究了浏阳河长沙段COD_Mn、NH₃-N和TP的综合降解系数与河段水流流速之间的相关关系,并通过河段历史水文和水质监测数据对所建立的相关方程进行了验证.结果表明,浏阳河长沙段COD_Mn、NH₃-N和TP的综合降解系数与流速之间呈明显的线性相关关系,相关方程形式分别为K（COD_Mn）=0.037+0.635v、K（NH₃-N）=0.059+0.315v和K（TP）=0.004+0.140v.所建立的线性相关方程对研究河段COD_Mn、NH₃-N和TP浓度预测结果的决定系数均大于0.90、相对均方根误差均小于0.10.受风浪作用、紊动水流和弯道环流的影响,当流速小于0.35m/s时,顺直河段的污染物综合降解系数均大于弯曲河段的污染物综合降解系数;当流速大于0.46m/s时,弯曲河段污染物综合降解系数均大于顺直河段的污染物综合降解系数.研究成果对浏阳河长沙段水质管理与水环境保护具有重要的参考价值.     

昌江核电站运营前附近海域总β放射性水平

在昌江核电站运营前,研究人员对其附近海域做了水质、沉积物和海洋生物总β放射性调查,并与我国其他海域及昌江核电站周围的陆地环境做了对比。结果表明:（1）海水样品总β比活度范围为0.040～0.074 Bq/L,平均值为0.054 Bq/L,与渤海、黄海、东海、南海近海、大亚湾核电站等海域相比,昌江核电站海域海水中总β放射性水平相对较低;（2）表层沉积物中总β比活度范围为257～925 Bq/kg,平均值为653 Bq/kg,研究海域沉积物中总β放射性水平与香港、青岛、阳江等海域水平相当;（3）海洋生物样品中总β比活度范围为8.7～63.8 Bq/kg,平均值为48.0 Bq/kg,海鱼类、虾类和贝类体内总β平均值分别为56.7 Bq/kg、63.4 Bq/kg和24.0 Bq/kg,鱼类和虾类明显大于贝类。本研究可为今后科学、合理地评价核电站运行对海洋环境的影响提供重要的数据支撑。     

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.     

某货车侧翻水污染事件的环境损害评估方法探索

随着我国进入突发水污染事件高发期,面临的水环境形势日益严峻.为了震慑环境污染行为,保证受损的环境资源得到恢复和补偿,量化突发性水污染事件造成的经济损失显得至关重要.本文以重庆市某货车侧翻污染事件为例,构建了一套突发水污染事件环境损害的量化评估方法,并用该方法从财产损害、生态环境资源损害、应急处置行政事务投入费用和调查评估费用这4个方面量化了该事件造成的环境污染损害.     

矿区植被恢复方式对土壤微生物和酶活性的影响

矿区废弃地生态退化形势严峻,生态修复已成为矿区可持续发展的主要措施,土壤微生物和酶活性可作为评价土壤恢复质量的敏感因子.本研究将以山西省安太堡煤矿复垦区作为对象,分析植被恢复方式对土壤微生物和酶活的影响.结果表明,不同植被方式对土壤理化特征、参与氮代谢的3类菌群(固氮菌、硝化细菌和反硝化细菌)和4种酶活性(蔗糖酶、过氧化氢酶、脲酶和多酚氧化酶活)均有显著影响.土壤总氮含量与固氮菌和硝化细菌数量均显著相关,而与反硝化细菌不相关.多酚氧化酶活性与有机碳和总氮含量之间为负相关,而其它3种酶与有机碳和总氮之间呈正相关.通过主成分分析计算综合肥力指标,刺槐-油松混交林土壤综合肥力指标最高,而未复垦综合肥力指标最低.可见,刺槐-油松混交林是晋西北干旱区矿区复垦较为适宜的植被恢复模式.     

Enhanced U(VI) bioreduction by alginate-immobilized uranium-reducing bacteria in the presence of carbon nanotubes and anthraquinone-2,6-disulfonate

Uranium-reducing bacteria were immobilized with sodium alginate, anthraquinone-2, 6-disulfonate (AQDS), and carbon nanotubes (CNTs). The effects of different AQDS-CNTs contents, U(IV) concentrations, and metal ions on U(IV) reduction by immobilized beads were examined. Over 97.5% U(VI) (20 mg/L) was removed in 8 hr when the beads were added to 0.7% AQDS-CNTs, which was higher than that without AQDS-CNTs. This result may be attributed to the enhanced electron transfer by AQDS and CNTs. The reduction of U(VI) occurred at initial U(VI) concentrations of 10 to 100 mg/L and increased with increasing AQDS-CNT content from 0.1% to 1%. The presence of Fe(III), Cu(II) and Mn(II) slightly increased U(VI) reduction, whereas Cr(VI), Ni(II), Pb(II), and Zn(II) significantly inhibited U(VI) reduction. After eight successive incubation-washing cycles or 8 hr of retention time (HRT) for 48 hr of continuous operation, the removal efficiency of uranium was above 90% and 92%, respectively. The results indicate that the AQDS-CNT/AL/cell beads are suitable for the treatment of uranium-containing wastewaters.