论环境监测过程中的质量保证工作

介绍了环境监测工作中常用的质量控制方法。认为应通过质量控制工作,使监测数据符合五性：代表性、准确性、精密性、可比性、完整性。     

环保企业应收账款和信用管理浅析

针对环境保护企业财务管理中的应收账款和信用管理现状,重点分析了环保企业应收账款的管理方式,通过对模型流程的建立,采用数据挖掘处理技术来有效解决环保企业应收账款信用的分析判断,提高环保企业应收账款财务的整体管理水平。对于提高环保行业的整体良性发展具有借鉴意义。     

基于熵权的改进密切值法在地面水水质评价中的应用

为了简化传统密切值法运算,更能全面客观地反映出各样本的优劣情况,尝试采用目标差值率法进行初始矩阵的规范化处理,引入熵权法确定各评价指标的权重,对传统密切值法进行了改进.通过将两种不同密切值法对某区域水体水质的评价结果进行对比表明: 两种密切值法评价水质得出了一致的水质优劣排序,但改进后的密切值法可以有效地消除各评价指标在量纲、数量级及指标优劣等方面的差异,计算更简便; 改进后的密切值法利用熵权法确定各评价指标的权重,更客观; 改进后的密切值法评价结果中各样本的差异性放大了,对比更为明显.     

非点源污染河流的水环境容量估算和分配

通过河流相应集水区内氮磷的各污染源分析(包括农地、畜禽养殖和生活排污等),利用输出系数模型估算各非点源的氮磷投(排)放量和入河量;采用河段氮磷输入-输出平衡关系分析方法,估算河流对氮磷的每月自净量.以此为基础,参照水功能区划所要求的水质目标,提出了水质未超标河段相应集水区的氮磷剩余水环境容量按月估算模型,和水质超标河段相应集水区内氮磷投放削减量的按月估算模型,及其在各污染源之间的分配方案.结果表明,长乐江的总氮和总磷自净量分别达到775.9 t·a^-1和30.9 t·a^-1,自净率分别为28.8%和51.2%.河流对氮磷的自净量不仅受水文生态条件的影响而表现出较大的季节性变化,而且随着污染负荷量本身的增加而提高.按照水功能区划中Ⅲ类水的水质要求,长乐江总氮含量全年超标;各非点源的总氮投(排)放量均须不同程度的削减,削减总量应达到1 581.0　t;氮源削减量分配结果表明,化肥是应削减的最大氮源,要求在河流相应集水区内的化肥氮投放削减量为1 047.4 t·a^-1;而与各种氮源的投排放现状相比,要求削减比例最高的是畜禽养殖的氮排放量,达32.4%.长乐江流域尚有一定的总磷剩余水环境容量(2 335.7 t·a^-1).根据目标水质要求,平水期是各污染源总氮投放需要削减的量最大的时期,丰水期则是总磷剩余水环境容量最小的时期.     

Spatial distribution of aerosol pollution based on MODIS data over Beijing, China

With the help of regression analysis,the relationships were detected between aerosol's contribution to apparent reflectance(ACR) derived from Moderate Resolution Imaging Spectroradiometer(MODIS)on board Terra and hourly PM_(10)mass concentration measured at 30 ground-based locations in Beijing for the August of 2003 and 2004.It was shown that there was a good correlation between the ACR and PM_(10)(linear correlation coefficient,R=0.56).On the basis of this relationship,spatial distribution and possible sources of PM_(10)derived from MODIS were analyzed and two frequently heavily-polluted regions were found,namely downtown of the city and the district near Xishan Mountain.These two regions coincidently are also urban heat island centers.The foundings of this paper will be greatly useful for environmental monitoring and urban planning for Beijing,especially for the 2008 Olympic game to be held in Beijing.     

Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Vehicle emission has been the major source of air pollution in urban areas in the past two decades. This article proposes an artificial neural network model for identifying the taxi gross emitters based on the remote sensing data. After carrying out the field test in Guangzhou and analyzing various factors from the emission data, the artificial neural network modeling was proved to be an advisable method of identifying the gross emitters. On the basis of the principal component analysis and the selection of algorithm and architecture, the Back-Propagation neural network model with 8-17-1 architecture was established as the optimal approach for this purpose. It gave a percentage of hits of 93%. Our previous research result and the result from aggression analysis were compared, and they provided respectively the percentage of hits of 81.63% and 75%. This comparison demonstrates the potentiality and validity of the proposed method in the identification of taxi gross emitters.     

基于水资源合理配置的河流“双总量”控制研究——以河北省唐山市为例

河道的最小控制流量和最大纳污控制量（简称“双总量”）是维系河流健康的决定性因子。论文初步建立了基于水资源合理配置的河流“双总量”控制研究技术框架,并对唐山市月尺度的“双总量”控制指标进行核算。通过水资源合理配置,除个别枯水年份和连续枯水年份外,唐山市河道的最小控制流量均可得到满足。在基准年、2010年和2020年3个规划水平年,唐山市规划河流COD的最大纳污控制量分别为16357．57、12659．19和11572．50t／a;NH3-N的最大纳污控制量分别为907．80、660．27和580．09t／a。在统一水资源配置平台上制定的“双总量”控制指标,从根本上保障了竞争用水条件下河流生态需水,客观确立了规划水平年河道纳污能力的年内分配,并整体上提高了河流的最大纳污能力。     

Residual dynamics of thiacloprid in medical herbs marjoram, thyme, and camomile and in soil

Thiacloprid is a new insecticide of the chloronicotinyl family. To assess its risk after application, residual characteristics of thiacloprid in marjoram, thyme, and camomile and in soil were studied under field conditions. The active ingredient was extracted from the plant material using a mixture of acetone-water. After filtration, the extract was concentrated to the aqueous phase, diluted with water, and portioned against ethyl acetate on a matrix solid phase dispersion column. Thiacloprid was extracted from soil using a mixture of methanol-water, filtered, and re.extracted （clean up） with dichloromethane. The residues were quantified using HPLC-MS-MS. The methods were validated by recovery experiments. Thiacloprid residues in marjoram, thyme, and camomile and in soil persisted beyond 10, 14, 14, and 21 d but no residues were detected after 14, 21, 21, and 28 d, respectively. The data obtained in this study indicated that the biexponential model is more suitable than the first-order function to describe the decline of thiacloprid in fresh marjoram, fresh thyme, and dried camomile flowers with half-life （t1/2） of 1.1, 0.7, and 1.2 d, respectively. However, both the first-order function and biexponential model were found to be applicable for dissipation of thiacloprid in soil with almost the same t1/2 values of 3.5 and 3.6 d. The results indicated that thiacloprid dissipates rapidly and does not accumulate in the tested herbs and in soil.     

Heavy metal availability and impact on activity of soil microorganisms along a Cu/Zn contamination gradient

All the regulations that define a maximum concentration of metals in the receiving soil are based on total soil metal concentration. However, the potential toxicity of a heavy metal in the soil depends on its speciation and availability. We studied the effects of heavy metal speciation and availability on soil microorganism activities along a Cu/Zn contamination gradient. Microbial biomass and enzyme activity of soil contaminated with both Cu and Zn were investigated. The results showed that microbial biomass was negatively affected by the elevated metal levels. The microbial biomass-C （Cmic）/organic C （Corg） ratio was closely correlated to heavy metal stress. There were negative correlations between soil microbial biomass, phosphatase activity and NH4NO3 extractable heavy metals. The soil microorganism activity could be predicted using empirical models with the availability of Cu and Zn. We observed that 72% of the variation in phosphatase activity could be explained by the NH4NO3-extractable and total heavy metal concentration. By considering different monitoring approaches and different viewpoints, this set of methods applied in this study seemed sensitive to site differences and contributed to a better understanding of the effects of heavy metals on the size and activity of microorganisms in soils. The data presented demonstrate the relationship between heavy metals availability and heavy metal toxicity to soil microorganism along a contamination gradient.     

Anaerobic tapered fluidized bed reactor for starch wastewater treatment and modeling using multilayer perceptron neural network

Anaerobic treatability of synthetic sago wastewater was investigated in a laboratory anaerobic tapered fluidized bed reactor(ATFBR) with a mesoporous granular activated carbon(GAC)as a support material.The experimental protocol was defined to examine the effect of the maximum organic loading rate(OLR),hydraulic retention time(HRT),the efficiency of the reactor and to report on its steady- state performance.The reactor was subjected to a steady-state operation over a range of OLR up to 85.44 kg COD/(m~3.d).The COD removal efficiency was found to be 92% in the reactor while the biogas produced in the digester reached 25.38 m~3/(m~3·d) of the reactor. With the increase of OLR from 83.7 kg COD/(m~3.d),the COD removal efficiency decreased.Also an artificial neural network(ANN) model using multilayer perceptron(MLP)has been developed for a system of two input variable and five output dependent variables. For the training of the input-output data,the experimental values obtained have been used.The output parameters predicted have been found to be much closer to the corresponding experimental ones and the model was validated for 30% of the untrained data.The mean square error(MSE)was found to be only 0.0146.