浅谈黑龙江及乌苏里江流域废水中污染物排放特征

以跨界流域黑龙江和乌苏里江为研究对象,通过合理的流域断面设置,对流域废水中的污染物及农药残留进行分析测定,通过监测结果为以后的污染防治提供依据。     

阿什河干流(道外香坊段)防洪及河道生态治理工程生态影响分析简述

通过分析阿什河干流生态环境现状,进行工程建设对生态环境的影响分析,并提出了相应的生态保护措施和建议。     

南方红壤区氮湿沉降特征及其对流域氮输出的影响

本研究通过对江西千烟洲香溪流域雨季氮湿沉降及径流过程进行监测,分析降雨及径流过程的各形态氮浓度变化,探讨南方红壤区氮湿沉降特征及其对流域氮输出的影响.结果表明:1 2014年雨季(3~6月)共27场降雨,产生的氮湿沉降负荷达43.64~630.59 kg,氮沉降通量为0.44~6.43 kg·hm-2,呈现出极大的季节变异性;2对其中3场降雨过程进行动态分析发现,当降雨量为8~14 mm时,流域氮沉降负荷达18.03~41.16 kg,而该地区氮湿沉降通量为0.18~0.42 kg·hm-2.其中3场次降雨事件导致流域水体的总径流量为4 189.38 m3,TN总流失负荷16.72 kg,输出通量为4.64 kg·hm-2;DTN总流失负荷为9.64 kg,输出通量为2.68 kg·hm-2;NH+4-N总流失负荷2.93 kg,输出通量为0.81 kg·hm-2;NO-3-N总流失负荷5.60 kg,输出通量为1.56 kg·hm-2.3流域氮湿沉降对流域氮输出的贡献率约为56%~94%,说明降雨对流域氮流失影响巨大,并以硝酸盐为主,流域水体中总氮浓度超过河流水体富营养化阈值(1.5 mg·L-1)存在发生富营养化的隐患.     

甾醇对南山老龙洞地下河粪便污染的指示

分别于2014年10月,2015年1、3、5月采集重庆南山老龙洞地下河出口的水样,过滤取水悬浮物质,采用气相色谱-质谱联用仪(GC-MS)定量分析悬浮物中甾类物质的成分与质量浓度;利用多指标综合分析对南山老龙洞地下河粪便污染进行判断并追溯粪便污染物的主要来源.结果表明,样品中共测出10种甾类物质,其中包括9种醇类和1种酮类.总甾类物质的质量浓度为1 573~5 007 ng·L-1,且3、5月均大于10、1月.虽然各月间地下河的组成存在差异,但以胆固醇、β-谷甾醇和粪醇为主要成分,三者的质量浓度之和占总甾类的50.8%~80.4%.另外,(差向异构粪醇+粪醇)/(粪醇+差向异构粪醇+二氢胆固醇)的值均大于0.7,指示各月均受到粪便污染;10月差向异构粪醇/粪醇的值小于0.2,指示污水主要来自上游污水处理厂;1、3、5月的粪醇/ΣSteroids、粪醇/24-乙基粪醇的值分别为0.109~0.254、6.3~10.3,指示地下河主要受到人类粪便的影响;3月的24-乙基粪醇/24-乙基胆甾烷醇为0.86,小于1月的5.4和5月的2.3,说明该月地下河受家禽类动物粪便的影响较1月和5月严重.     

典型岩溶区地下河中溶解态脂类生物标志物来源解析及其变化特征

利用气相色谱-质谱联用仪(GC-MS)测定了青木关地下河中溶解态类脂物的含量.研究了其在地下河中的来源、组成及迁移特征.结果表明,7~11月,各溶解态类脂物的平均含量随着青木关地下河运移距离的增加呈降低趋势,其中以溶解态饱和直链脂肪酸的下降最为显著,即由最初的5 704 ng·L~(-1)下降到1 043 ng·L~(-1),减少了约81.71%.正构烷烃能够较为详尽地指征地下河中溶解性有机质来源,而饱和直链脂肪酸、脂肪醇则对藻类和细菌等微生物有较好的指示意义.随着地下河运移距离增加,有机质输入类型呈现多样化,可能与岩溶地表不均一性有关.正构烷烃三端元图解中,水生植物的输入为地下河中溶解性有机质的主要来源,其次分别为陆地高等植物和藻类、细菌等微生物,但随着地下河运移距离的增加水生植物的相对贡献量逐渐减少.青木关地下河中正构烷烃TAR值对降雨有一定的指示意义,而饱和直链脂肪酸CPI、L/H值则指示细菌降解活动.     

太湖流域上游平原河网污染物综合衰减系数的测定

改善太湖水质需要削减上游河流进入太湖的污染物总量.为了探求太湖流域上游平原河网的自净能力,开展原位实验测定了枯水期高锰酸盐指数、氨氮(NH_4~+-N)、总氮(TN)和总磷(TP)的综合衰减系数,根据河道的水力特征对综合衰减系数进行了修正,并利用一维稳态水质模型对修正前后综合衰减系数的可靠性进行了验证.结果表明,高锰酸盐指数、NH_4~+-N、TN和TP的综合衰减系数分别为:0.0296~0.4106、0.0224~0.3564、0.0137~0.3046和0.0555~0.5725 d~(-1).可靠性验证表明高锰酸盐指数、NH_4~+-N、TN和TP综合衰减系数修正前的平均相对误差分别为8.39%、14.40%、11.43%和19.22%,修正后的平均相对误差分别为10.65%、14.34%、11.37%和19.24%.修正前后高锰酸盐指数、NH_4~+-N、TN和TP的平均相对误差均小于20%且变化不显著,表明综合衰减系数的测定结果能够为太湖流域上游平原河网的污染物总量控制管理提供科学参数;也表明枯水期的水力条件对综合衰减系数的影响较小.     

波流式生态滤床氨氮去除效果及其微生物群落结构分析

利用波流式生态滤床处理受污染的河水,考察了其对氨氮的去除效果和沿程污染物转化情况,并采用扫描电镜、高通量测序手段解析了波流式生态滤床不同时间和位置基质上生物膜的细菌群落组成,分析了波流式生态滤床小试反应器中硝化细菌和反硝化细菌的分布特点,以探讨其去除氨氮的机理.结果表明,反应器稳定运行以后,对氨氮平均去除率为74.83%,基质表面可以观察到大量微生物,不同时期优势细菌有较大不同.反应器前部主要发挥硝化作用,中部发挥反硝化作用,硝化菌的分布呈现上多下少、前多后少的特点,使得氨氮在前端被快速去除;中部以黄杆菌属(Flavobacterium)为代表的反硝化菌丰度较高,促进了反硝化作用的发挥,降低了出水中总氮浓度;不同部位样品中细菌多样性差别不大,微生物种群多样性随着水流方向呈现先增加,到后段减少的趋势.     

Levels of polycyclic aromatic hydrocarbons in some agricultural, industrial and urban areas along Xiamen coastal waters, China

An intensive investigation was conducted to study the distribution of polycyclic aromatic hydrocarbons （PAHs）, to show firstly the level of pollution in the agricultural areas and analyses specifically the status of soil polluted by these persistent pollutants in some locations of Xiamen region. Soil samples collected from Jiulong agricultural catchment have been analysed for 16 PAH compounds, using gas chromatography flame ionization detection in order to determine the level of selected PAH components and to identify the factors that may control their distribution and persistence in the area. The main PAHs found in soil samples were the low molecular weight. The total PAHs detected in soil samples ranged from 0.50 to 0.95 μg/g soil. The highest values of PAHs were significantly detected in the orange tree leaves, which range from 236.1 to 249.3 μg/g soil showing recent atmospheric inputs of these volatile pollutants. The distribution of PAHs in vegetable were monitored and indicating that the concentration were high and ranged from 8.24 to 58.87 μg/g. Other sediment samples were also collected and analysed from urban sewage （5.26 μg/g dw）, aquacultural （0.52 μg/g dw） and industrial areas （from 0.62 to 2.09 μg/g dw）, during this investigation. The contamination of Jiulong river estuary and Xiamen Western Sea by PAHs has been then widely justified by wastcwatcr discharges and soil runoffs from these areas. The results, therefore, provide important information on the current contamination status caused by the atmospheric transport and point to the need for urgent actions to stop the release of these hydrocarbons to the environment. The necessity of implementing systematic monitoring of PAHs is also emphasized.     

Backwater Confluences of the Ohio River: Organic and Inorganic Fingerprints Explain Sediment Dynamics in Wetlands and Marinas

In the Ohio River (OR), backwater confluence sedimentation dynamics are understudied, however, these river features are expected to be influential on the system’s ecological and economic function when integrated along the river’s length. In the following paper, we test the efficacy of organic and inorganic tracers for sediment fingerprinting in backwater confluences; we use fingerprinting results to evidence sediment dynamics controlling deposition patterns in confluences used for wetland and marina functions; and we quantify the spatial extent of tributary drainages with wetland and marina features in OR confluences. Both organic and inorganic tracers statistically differentiate sediment from stream and river end‐members. Carbon and nitrogen stable isotopes produce greater uncertainty in fingerprinting results than inorganic elemental tracers. Uncertainty analysis of the nonconservative tracer term in the organic matter fingerprinting application estimates an apparent enrichment of the carbon stable isotopes during instream residence, and the nonconservativeness is quantified with a statistical approach unique to the fingerprinting literature. Wetland and marina features in OR confluences impact 42% and 11% of tributary drainage areas, respectively. Sediment dynamics show wetland and marina confluences experience deposition from river backwaters with longitudinally linear and nonlinear patterns, respectively, from sediment sources.     

Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed Using SWAT

Gridded precipitation datasets are becoming a convenient substitute for gauge measurements in hydrological modeling; however, these data have not been fully evaluated across a range of conditions. We compared four gridded datasets (Daily Surface Weather and Climatological Summaries [DAYMET], North American Land Data Assimilation System [NLDAS], Global Land Data Assimilation System [GLDAS], and Parameter‐elevation Regressions on Independent Slopes Model [PRISM]) as precipitation data sources and evaluated how they affected hydrologic model performance when compared with a gauged dataset, Global Historical Climatology Network‐Daily (GHCN‐D). Analyses were performed for the Delaware Watershed at Perry Lake in eastern Kansas. Precipitation indices for DAYMET and PRISM precipitation closely matched GHCN‐D, whereas NLDAS and GLDAS showed weaker correlations. We also used these precipitation data as input to the Soil and Water Assessment Tool (SWAT) model that confirmed similar trends in streamflow simulation. For stations with complete data, GHCN‐D based SWAT‐simulated streamflow variability better than gridded precipitation data. During low flow periods we found PRISM performed better, whereas both DAYMET and NLDAS performed better in high flow years. Our results demonstrate that combining gridded precipitation sources with gauge‐based measurements can improve hydrologic model performance, especially for extreme events.