引江济巢对巢湖的水环境影响分析

建立了巢湖一维水质模型DYRESM-CAEDYM,并利用2005年的实测水质、水文、气象等数据对模型进行了参数率定,确立了适用于巢湖水环境特征的水质模型参数. 应用该模型模拟了调水对巢湖TN,TP和Chl-a指标的影响,结果表明,年调水量为9.57×108 m3时可使巢湖的ρ(TN)和ρ(TP)下降约16%和19%,ρ(Chl-a)峰值从51.42 μg/L降至38.96 μg/L,ρ(Chl-a)超过30 μg/L的天数从26 d减少到16 d,对巢湖夏季蓝藻暴发具有一定的缓解作用. 对比分析了流域污染综合治理对巢湖水环境的改善效果,结果显示,如果各支流的入湖污染负荷能够削减5%,同时开展底泥清淤工作,可使巢湖的ρ(TN)和ρ(TP)得到较大程度的改善,与没有治理的情况相比分别降低约24.9%和33.3%,使巢湖夏季的ρ(Chl-a)峰值从51.42 μg/L降至32.72 μg/L,ρ(Chl-a)超过30 μg/L的天数从26 d减少到7 d.      

2005年中国燃煤大气砷排放清单

燃煤排放的砷是引起大气环境污染和经济损失的重要痕量元素之一.对燃煤大气砷排放进行估算可以为砷排放法规政策的制定和选择适宜的燃煤砷污染控制技术提供依据.采用基于燃料消耗的排放因子法,按照经济部门、燃烧方式和除尘设施将燃煤排放源进行分类,根据各省区不同排放类型的煤炭消耗量和燃煤平均砷含量,建立了2005年中国燃煤大气砷排放清单. 2005年中国燃煤生产和消耗量分别为2 119.8和2 099.8 Mt.燃煤导致的大气砷排放总量估算约为1 564.4 t,其中排放量最大的省区是山东（144.4 t）,其次是湖南（141.1 t）、河北（108.5 t）、河南（77.7 t）、江苏（77.0 t）等,燃煤大气砷排放主要集中在中东部省区;绝大部分燃煤大气砷排放来自工业（818.8 t）和电力部门（303.4 t）,分别占燃煤大气砷排放总量的52.3%和19.4%;2005年中国燃煤排放的砷大约有375.5 t是以气态形式排放到大气中,占排放总量的24%.总体上,在全国范围内燃煤大气砷污染排放控制的重点是电力和工业部门;而对于新疆、甘肃、青海、贵州等地区,还应关注生活消费燃煤引起的砷中毒事件.     

车辆限行对道路和施工扬尘排放的影响

采用降尘法对道路和施工扬尘排放进行连续监测,通过限行之前和限行期间数据分析,研究了“好运北京”体育赛事期间机动车交通限行措施对道路和施工扬尘的消减情况、道路和施工扬尘对北京大气环境颗粒物的贡献率、道路和施工扬尘源占本地颗粒物排放总量的比重.结果表明,车辆限行措施对降低道路和施工扬尘的效果明显;环路限行期间降尘量平均值为0.27 g·(m²·d)^-1,限行之前1个月和限行之前7d降尘量平均值为0.81和0.59 g·(m²·d)^-1,主干道和次干道限行期间降尘量平均值为0.21 g·(m²·d)^-1,限行之前1个月和限行之前7 d降尘量平均值为0.54和0.58 g·(m²·d)^-1,道路降尘量下降了60%～70%;限行期间民用建筑施工降尘量平均值为0.27 g·(m²·d)^-1,限行之前20 d为1.15 g·(m²·d)^-1,限行期间公用建筑施工降尘量平均值为1.06 g·(m²·d)^-1,限行之前20 d为1.55 g·(m²·d)^-1,施工降尘下降30%～47%;道路和施工扬尘是北京市颗粒物污染的主要来源,其对环境PM₁₀的贡献率为21%～36%;当本地污染源PM₁₀排放量占环境总量的50%和70%时,道路和施工扬尘PM₁₀排放量分别占本地污染源的42%～72%和30%～51%.     

两种生物沥滤-电动修复联合技术的比较

比较研究了生物沥滤和电动修复不同的结合方式对污泥中重金属处理效果的影响.在先进行生物沥滤4d之后用电动修复技术对污泥进行处理,试验结束之后污泥中的Cu含量为60.5mg·kg-1,Zn含量为170mg·kg-1;而采用同步生物沥滤和电动修复试验时,处理结束后污泥中Cu含量为122.8mg·kg-1,Zn含量为110mg·kg-1.利用2种修复技术处理污泥,污泥中重金属含量均达到我国污泥土地农田利用的标准,但先生物沥滤后电动修复可以减少能耗.     

Phragmites australis and Typha orientalis in removal of pollutantin Taihu Lake, China

Two plant populations of Phragmites australis and Typha orientalis grown in gravel and sediment substrate were studied to assess their capabilities for purifying polluted water in Taihu Lake, China. The substrate displayed most significant effects on the suspended matter (P < 0.01), with the reduction of 76%-87% and 52%-63% for P. australis, and 83%-86% and 45%-62% for T. orientalis in gravel substrate and sediment substrate, respectively. Both species and substrates significantly decreased the N and P conc...     

Pollutants removal and simulation model of combined membrane process forwastewater treatment and reuse in submarine cabin for long voyage

A laboratory scale test was conducted in a combined membrane process (CMP) with a capacity of 2.91 m3/d for 240 d totreat the mixed wastewater of humidity condensate, hygiene wastewater and urine in submarine cabin during prolonged voyage.Removal performance of chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), turbidity and anionic surfactants (LAS)was investigated under di erent conditions. It was observed that the e uent COD, NH4+-N, turbidity and LAS flocculated in ranges of0.19–0.85 mg/L, 0.03–0.18 mg/L, 0.0–0.15 NTU and 0.0–0.05 mg/L, respectively in spite of considerable fluctuation in correspondinginfluent of 2120–5350 mg/L, 79.5–129.3 mg/L, 110–181.1NTU and 4.9–5.4 mg/L. The e uent quality of the CMP could meet therequirements of mechanical water and hygiene water according to the class I water quality standards in China (GB3838-2002). Theremoval rates of COD, NH4+-N, turbidity and LAS removed in the MBR were more than 90%, which indicated that biodegradationis indispensable and plays a major role in the wastewater treatment and reuse. A model, built on the back propagation neural network(BPNN) theory, was developed for the simulation of CMP and produced high reliability. The average error of COD and NH4+-N was5.14% and 6.20%, respectively, and the root mean squared error of turbidity and LAS was 2.76% and 1.41%, respectively. The resultsindicated that the model well fitted the laboratory data, and was able to simulate the removal of COD, NH4+-N, turbidity and LAS. Italso suggested that the model proposed could reflect and manage the operation of CMP for the treatment of the mixed wastewaters insubmarine.     

Ecotoxicological effects of mixed pollutants resulted from e-wastes recycling and bioaccumulation of polybrominated diphenyl ethers in Chinese loach (Misgurnus anguillicaudatus)

To understand potential ecotoxicological effects of electrical and electronic equipment waste (e-waste) recycling and polybrominated diphenyl ethers (PBDEs) bioaccumulation in loaches, a semi-field experiment using Chinese loach (Misgurnus anguillicaudatus) as experimental fish was performed. Larval loaches were kept into net-cage for three months in an e-wastes recycling site and a reference site in Southeastern China. There was significant difference of the survival rate between the loaches from the e-wastes recycling site (27%, 19/70) and from reference site (70%, 49/70). Histopathological responses were also found in all the livers examined in loaches from the e-wastes recycling site. These results showed that mixed pollutants resulted from e-wastes recycling led to ecotoxicological effects on loaches. The bioaccumulation of polybrominated diphenyl ethers (PBDEs), the main pollutants in e-waste, in loaches was also studied in this e-wastes recycling site, the mean concentrations of total PBDEs in sediment was 6726.17 ng/g wet weight and in water samples was 4.08 ng/L (dissolved phase). BDE209 was the dominant congener in sediment and with relatively high concentration in water. Relatively low concentration of BDE209 (less than 0.01% of total PBDEs) and high concentration of BDE47 (up to 39.34% of total PBDEs) were detected in loaches.     

α-HCH在太湖地区环境中的长期迁移与残留的动态模拟

根据太湖地区1/4°×1/6°经纬度网格的地表特征及α-HCH施用量,建立了一个基于同精度网格系统, 包含迁移和传输2个模块的质量平衡模型. 迁移模块使用逸度方法描述α-HCH在每一个网格的多介质环境中的迁移过程,传输模块使用拉格朗日方法描述α-HCH在不同网格间的大气平流和水体径流. 模型模拟了α-HCH在研究区域开始施用至今(1952~2007年) α-HCH在5类4层土壤、气、水和底泥23个环境相中的积累、迁移和残留情况. 模拟值与实测α-HCH浓度对比验证表明两者吻合得很好. 环境温度是影响α-HCH在各环境介质中浓度的最重要因素. 模拟结果表明,在α-HCH使用时期,在土壤中的年积累趋势约为年使用量趋势的5.7%; 在停止使用后,其减少趋势为积累趋势的50%. 在α-HCH使用期间,太湖流域α-HCH的年使用量与其水-气界面沉积通量存在显著的相关性,而与土-气界面通量则无显著相关性. α-HCH停止使用后,太湖流域水-气界面通量表现为向大气的挥发,且自1985年其年挥发通量大于土-气挥发通量. 底泥是α-HCH水-气界面挥发的主要补给源. 2007年太湖流域内α-HCH大气浓度普遍高于流域外大气浓度. 整个模拟时段α-HCH的主要输出途径是流出太湖地区,且以大气平流为主;其次的减少途径是在环境介质中的降解,其中土壤降解量占绝大部分. 2007年环境中残留的α-HCH为总使用量的0.005%,以土壤残留量为主,其次是底泥.     

人工快渗系统处理生活污水的试验研究

文章用自制的实验室快速渗滤系统模拟反应器对某校中水站的生活污水进行处理。研究结果表明,此套实验室模拟快渗处理生活污水系统对COD、TN、TP去除效果良好,壤土在三个周期对COD的去除率最大值为91.5%,TN为66.0%,TP为73.3%。由此试验得出最佳生活污水处理条件为壤土作为滤料,滤料高度为50cm,布水时间为2d淹水,4d落干。复合系统的处理效果优于单一介质的系统。     

非点源污染模型AnnAGNPS在三峡库区林农复合小流域模拟效果评定

应用连续农业非点源污染AnnAGNPS模型(Annualized AGricultural NonPoint Source Model)模拟三峡库区林农复合小流域的径流、泥沙和营养物输出,以2003年和2004年的小流域观测数据对模型分别进行校准和验证,并以统计参量决定系数(R2)、Nash-Sutcliffe效率系数(E)和相对误差(VE)对模拟结果进行评定.结果表明,径流量模型模拟结果误差在可接受范围之内,模型校准期模拟值VE值为5.0%(R2=0.93,p<0.05),验证期内模型VE值为6.7%(R2=0.90,p<0.05);与径流模拟比较,泥沙模拟结果精度较低,校准期内模型VE值为15.1%(R2=0.63,p<0.05),验证期内模型VE值为26.7%(R2=0.59,p<0.05);次降水较小,产生径流和泥沙较少时,模型模拟值则偏高,反之则偏低.氮输出模拟决定系数R2值0.68(p<0.05),略高于磷输出模拟决定系数(R2=0.65,p<0.05).模型对径流输出的模拟精度高于对泥沙和营养物的输出模拟.在三峡库区农林复合小流域应用AnnAGNPS模型模拟农业非点源污染输出满足流域管理要求.