Assessment of pollution of potentially harmful elements in soils surrounding a municipal solid waste incinerator,China

We assessed the contamination levels of Mn, Zn, Cr, Cu, Ni, Pb, As and Hg and the risks posed by these potentially harmful elements in top-soils around a municipal solid waste incinerator (MSWI).We collected 20 soil samples, with an average pH of 8.1, and another fly ash sample emitted from the MSWI to investigate the concentrations of these elements in soils. We determined the concentrations of these elements by inductively coupled plasma–optical emission spectrometer (ICP-OES), except for Hg, which we measured by AF-610B atomic fluorescence spectrometer (AFS). We assessed the risks of these elements through the use of geoaccumulation index (I _geo), potential ecological risk index (RI), hazard quotient (HQ _i ) and cancer risk (Risk _i ). The results showed that concentrations of potentially harmful elements in soil were influenced by the wind direction, and the concentrations of most elements were higher in the area northwest of the MSWI, compared with the area southeast of the incinerator, with the exception of As; these results were in accordance with those results acquired from our contour maps. According to the I _geo values, some soil samples were clearly polluted by Hg emissions. However, the health risk assessment indicated that the concentrations of Hg and other elements in soil did not pose non-carcinogenic risks to the local populations. This was also the case for the carcinogenic risks posed by As, Cr, and Ni. The carcinogenic risk posed by As was higher, in the range 6.49 × 10^–6–9.58 × 10^–6, but this was still considered to be an acceptable level of risk.

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Kriging插值在开封市区域声环境评价中的应用

考虑到传统区域声环境质量评价方法的局限,以地统计学理论为基础,借助Arcgis9.0空间分析中的克里格(Kriging)插值方法,尝试运用昼夜综合指数来计算不同功能区的声环境达标率。旨在提供一种更为精确的计算方法,为城市区域声环境评价提供技术支撑。     

基于模拟-优化方法的地下水污染源溯源辨识

以抚顺市某煤矸石堆放场为研究区,根据研究区的实际条件建立地下水污染质运移模拟模型,预测地下水污染质未来时空变化特征.基于正演预报结果构建了假想例子,应用模拟-优化方法对地下水污染源源强及场地的渗透系数进行反演识别.为减小优化模型反复调用模拟模型所产生的计算负荷,分别采用Kriging方法和BP神经网络方法建立了模拟模型的替代模型.最后运用模拟退火法求解优化模型,得到反演识别结果.研究表明：应用Kriging方法建立的替代模型输出结果的平均相对误差为0.3%;应用BP神经网络方法建立替代模型的输出结果平均相对误差为1.5%,应用两种替代模型对污染源源强识别的相对误差均小于0.5%,对场地两个参数分区渗透系数识别的相对误差均不大于5%.综上,应用Kriging方法建立的替代模型精度高于BP神经网络方法,利用基于两种替代模型的模拟-优化方法对污染源源强和渗透系数进行同步识别精度可以满足实际需求,是有效可行的.     

徐州市主城区个人生态足迹空间变异性研究

为揭示徐州市主城区个人生态足迹的空间变异性并分析引起其空间变异的原因,采用问卷调查和克里格插值法对个人生态足迹及其组分的空间分布进行了分析。结果表明:①徐州市主城区个人生态足迹分别是中国和全球个人生态足迹的1.48倍和1.18倍,其中商品服务足迹所占比例最大(51.1%),徐州市主城区处于弱不可持续发展状态;②经过实验半变异函数交叉验证,球状、指数和高斯模型可以较好模拟个人生态足迹及其组分的空间变异,其中,个人生态足迹、住宅足迹和商品服务足迹的块基比均小于25%,表现出强烈的空间相关性,碳足迹和食物足迹处于25%至75%之间,表现出中等空间相关性;③个人生态足迹、碳足迹、食物足迹和商品服务足迹总体上呈南高北低趋势,以市中心为峰值逐渐向周围递减,住宅足迹呈多峰值分布,最高值位于远离市中心的郊区。对个人生态足迹及其驱动因素进行空间相关分析,发现,调查对象的社会经济背景和空间特征对个人生态足迹及其组分的空间变异特征具有重要影响。     

关中地区近50年来最高、最低气温时空变化特征分析

基于关中地区9个气象站点气温资料,采用气候倾向率、趋势系数、普通克里格插值、Mann- Kendall检验、小波分析等方法对关中地区1960-2009年最高、最低气温的时空变化特征、突变特点和变化周期进行了分析.结果表明,近50年来关中地区最高、最低气温均有明显增温趋势,最高、最低气温增温幅度存在季节差异,冬春季增温幅度最大,夏季最弱;最高、最低气温增温趋势强弱的地区差异也比较显著;最高、最低气温升温突变显著,最低气温突变早于最高气温,最高气温和最低气温突变还存在季节差异;最高、最低气温变化周期显著,均存在显著的16-18年的周期变化和3-5年的动荡周期.     

生活垃圾焚烧厂周边土壤汞污染特征及评价

生活垃圾焚烧汞污染排放问题一直受到广泛的关注,特别是汞在其周边环境土壤中沉积,可能影响环境和人体健康.以华北某生活垃圾焚烧厂为研究对象,对其周边土壤中汞的含量及分布特征进行了分析,并对土壤中汞的污染状况及对周边人群的健康风险进行了评价.土壤中汞的浓度范围为0.015~0.25 mg·kg-1,平均值为(0.088±0.064)mg·kg-1.土壤中汞的浓度明显受到了风向影响,在焚烧厂西北方向(下风向)上汞的浓度高于东南方向(上风向)上汞的浓度.通过克里格插值绘制的汞等浓度值线图进一步给出了汞在周边土壤中的空间分布特征,图中显示在焚烧厂的周边存在3个浓度相对较高的区域,分别位于焚烧厂的西北偏北、东北偏北、西南偏西方向.单项污染指数及地累积指数评价结果表明焚烧厂部分周边土壤样品受到了一定影响,但健康风险评价表明土壤汞未对当地人群造成健康危害.     

Kriging插值法在植物物种地理分布空间格局研究中的应用

Kriging插值法是一种定量化描述地理空间分布格局的方法,主要应用于空间采样以及相关的一些空间格局分析。而物种的地理空间分布是物种在自然及人类活动共同作用下的结果。物种分布的研究目前主要从气候的角度来探讨其与气候之间的关系,并取得了很好的结果,但是仅从气候考虑又有局限性,而且很难真实地反映出物种地理空间的分布格局。因此,将Kriging插值法引进到物种分布的研究中,并以我国广泛分布的物种——栓皮栎为例,探讨其可行性。结果表明：Kriging插值法能很好地拟合物种地理空间分布的实际情况,其误差程度较小。该研究的结果可为物种资源的开发利用和物种的引种栽培提供理论依据。     

Polycyclic aromatic hydrocarbons in urban soils of Beijing: status, sources, distribution and potential risk

We studied the source, concentration, spatial distribution and health risk of 16 polycyclic aromatic hydrocarbons (PAHs) in urban soils of Beijing. The total mass concentration of 16 PAHs ranged from 93 to 13 141 μg kg⁻¹ with a mean of 1228 μg kg⁻¹. The contour map of soil PAH concentrations showed that the industrial zone, the historical Hutong district and the university district of Beijing have significantly higher concentrations than those in remainder of the city. The results of sources identification suggested that the primary sources of PAHs were vehicle exhaust and coal combustion and the secondary source was the atmospheric deposition of long-range transported PAHs. The incremental lifetime cancer risks (ILCRs) of exposing to PAHs in the urban soils of Beijing for adult were 1.77 × 10⁻⁶ and 2.48 × 10⁻⁵, respectively under normal and extreme conditions. For child, they were 8.87 × 10⁻⁷ and 6.72 × 10⁻⁶, respectively under normal and extreme conditions.     

Choice of dispersion coefficients in reactive transport calculations on smoothed fields

Local dispersion dominates the mixing of compounds that are introduced separately into the subsurface and do not partition into any other than the aqueous phase. Thus, reactions between these compounds are controlled by dispersive mixing if they are not limited by kinetics. I quantify longitudinal dispersive mixing by the longitudinal effective dispersion coefficient of a conservative tracer introduced by a point-like injection [Water Resour. Res. 36 (12) (2000) 3591-3604]. In the upscaling of mixing-controlled reactive transport, I apply the mean velocity and the effective dispersion coefficient to the macroscopic transport calculations, whereas the reactive parameters on the macro-scale are identical to those on the local scale. The applicability of the approach is demonstrated for the transport of compounds undergoing a second-order irreversible bimolecular reaction. Ten realizations of a two-dimensional heterogeneous log-conductivity field are considered. Using the effective dispersion parameters, the overall mass balance is met in the ensemble average, whereas solute spreading is underestimated. I assess the lack of spreading by the difference between the expected macrodispersion and effective dispersion coefficients. I extend the approach to simulations on log-conductivity fields obtained by kriging of regularly spaced conductivity measurements. These fields contain the large-scale features of the true fields but do not resolve the small-scale variability. For the calculations on the kriged fields, the corresponding conditional covariance is substituted into the analytical expressions of effective dispersion, yielding a correction effective dispersion coefficient. The comparison between simulations on the fully resolved fields and on the kriged fields indicates that the approach is valid for wide plumes meeting the ergodicity condition. The high variability of mixing on small scales unresolved by kriging, however, leads to severe uncertainty when mixing-controlled reactions are predicted for narrow plumes.