两种不同的地下水污染风险评价体系对比分析:以北京市平原区为例

地下水污染风险评价对地下水的污染防治区划及合理开采利用地下水资源具有重要意义.目前国际上最具代表性的评价体系包括UN体系和WP体系.两种体系基础要素均包括地下水固有防污性能、含水层富水性、地下水水质、地下水源保护区和污染负荷,但是5个基础要素的组合方式不同.为探讨两种体系评价结果的差异性及造成差异性的原因,对北京市平原区地下水分别采用UN体系和WP体系进行污染风险评价,将评价结果进行对比分析.结果表明,UN体系和WP体系存在明显差异,2种体系的评价等级空间分布趋势相似,均符合实际情况,但是同等级覆盖范围差异较大;并且评价体系构成的层次问题、评价要素的叠加规则及评价过程中运用的分级方法都可能对UN体系和WP体系的地下水污染风险评价结果造成影响.UN体系和WP体系评价方法都适用于平原区的地下水污染风险评价,但是2种评价体系考虑的侧重点不同.     

华中地区冬季灰霾天气下PM2.5中重金属污染特征及健康风险评价:以湖北黄冈为例

为探究华中地区灰霾天PM_2.5中重金属元素的污染特征及其潜在健康风险,于2018年1月13~24日对华中区域观测点——黄冈站点加密采集PM_2.5样品.采用电感耦合等离子体质谱仪（ICP-MS）对PM_2.5中Cr、Mn、Co、Ni、Cu、Zn、As、Cd、Sn和Pb进行分析,通过富集因子法对其污染特征进行探讨,并采用美国环保署推荐的暴露模型对其潜在风险进行评估.结果表明,观测期间PM_2.5中Zn质量浓度最高,致癌物质As、Cd质量浓度均高于我国环境空气质量标准（GB 3095-2012）的二级标准限值,70%的元素质量浓度在灰霾中期占比最大.富集因子分析显示,Cd、Sn、Co、Pb和Zn富集程度最高,特别是在灰霾中期,这些物质主要来源于交通和燃煤.人体健康风险评价结果显示,手口摄食是引起非致癌风险的主要途径,儿童的暴露量和非致癌风险均明显高于成人.Pb对儿童存在非致癌风险,PM_2.5中重金属对成人不具有非致癌风险且致癌重金属不具有致癌风险.     

外秦淮河底泥污染及疏浚效果

外秦淮河是南京市一条重要的城市景观行洪河道,多年来受工业及生活污水影响,内源污染严重.为充分了解外秦淮河底泥污染特征,为疏浚提供决策依据,对河道上、中和下游典型断面底泥界面微环境以及营养物含量进行调查,采用有机指数法和污染指数法对底泥污染状况进行评估,同时根据污染物垂向分布特征模拟清淤对底泥内源释放削减的影响.结果表明,上中下游底泥界面以上DO均值分别为4.62、 3.25和3.41mg·L^-1,且分别在4.4、 3.5和5.5 mm处消耗殆尽,是典型的城市河道污染特征体现.调查河段表层底泥的ω(TN)、ω(TP)和ω(OM)均值分别为1 734mg·kg^-1、 1 337 mg·kg^-1和4.82%,底泥TN和OM的有机污染指数均值为0.48,处于尚清洁水平,TP的单项污染指数均值为3.18,处于重度污染水平.模拟30 cm清淤深度结果表明,底泥SRP和Fe²⁺的释放速率较清淤前分别削减42%～82%和88%～96%,而NH⁺₄-N的释放速率却较清淤前有...     

中国农田土壤Cd累积分布特征及概率风险评价

通过检索2000~2022年国内外公开发表的文献资料,获得31个省240个市（县）区域160446个农田土壤样点的镉（Cd）含量数据,利用单因子污染指数、地累积指数和概率风险评价方法从整体上分析了我国农田土壤Cd污染时空分布特征及其健康风险,为农田土壤Cd污染治理和风险管控提供了科学依据.结果表明,我国农田土壤ω（Cd）范围在0.012~23.33 mg ·kg^-1,几何均值为0.473 mg ·kg^-1,是我国农用地土壤Cd风险筛选值（6.5华南>西北>东北>华东>华北;从时间尺度来看,我国农田土壤Cd含量在各时间段并无统计学意义的显著性差异（P>0.05）.我国农田土壤Cd对儿童、青年、成年人和老年人尚无非致癌风险,但其对成年人和老年人存在潜在致癌风险,约5.81%和4.49%的成年人和老年人的致癌风险超过美国环保署规定的限量值（1E-06）.为提高农田土壤Cd健康风险评价的准确性,概率生态风险评价中还需要进一步考虑土壤Cd的生物有效性和农产品的摄食暴露途径.     

固原市农田土壤微塑料的分布特征及风险评估

为探明固原市农田土壤中微塑料分布特征,通过现场采集调查、显微镜观察和傅里叶变换红外光谱等方法分析了固原市农田土壤中微塑料的丰度、类型、颜色、大小和外形等特征,用污染负荷指数法（PLI）评估了微塑料污染风险.结果表明,固原市农田土壤（耕作层）微塑料丰度为186.32~1286.24 n ·kg^-1,设施农业土壤微塑料丰度分别较非设施农业有膜和无膜种植土壤显著增加35.56%和228.91%,耕作层微塑料丰度是犁底层的0.31倍.PE （26.42%~62.83%）和PP （27.64%~42.62%）为主要的微塑料类型,设施农业土壤微塑料种类数显著大于非设施农业.<100 μm微塑料占32.21%~42.52%,而>1000 μm只占0.28%~12.31%,耕作层微塑料粒径比犁底层高47.39%,设施农业土壤微塑料粒径最大,非设施无膜种植最小.微塑料形状主要为薄膜、纤维、碎片和微珠,其中纤维状丰度最大,薄膜状次之.共检测出7种颜色的微塑料,以白色和黑色为主.研究区污染风险总体为低风险,设施农业土壤微塑料污染风险最高.研究结果将为我国农田土壤微塑料污染评估及微塑料土壤环境行为提供数据参考.     

淮河流域安徽段水体和沉积物微塑料赋存特征及风险评估

为探究淮河流域安徽段水体与沉积物微塑料赋存特征及生态风险级别,采用野外采样、体式显微镜、扫描电镜、傅里叶红外光谱（FTIR）以及风险指数（H）和污染负荷指数（PLI）模型等方法,分析了流域水体和沉积物微塑料现状,并进行了微塑料生态风险评估.结果表明,流域各点位微塑料检测率为100%,表层水与沉积物微塑料平均丰度分别为（39800±3367） n ·m^-3和（5078±447） n ·kg^-1,下游微塑料平均丰度要高于上游和中游.水体和沉积物微塑料粒径以20~150 μm为主,占比分别为82.96%和80.77%.微塑料形状主要为纤维（水体76.05%、沉积物84.53%）、薄膜（水体21.83%、沉积物15.43%）和碎片（水体2.12%、沉积物0.04%）.水体和沉积物中微塑料主要以透明颜色为主,占比分别为63.31%和83.69%.水体和沉积物主要以聚乙烯（水体65.74%、沉积物80.62%）和聚丙烯（水体18.43%、沉积物9.71%）为主,微塑料主要来源于农业薄膜、废弃渔具渔网和港口人为废弃的塑料袋.微塑料风险指数（H）模型评估表明部分点位风险指数较高,淮河流域安徽段微塑料风险等级为Ⅱ级,污染负荷指数（PLI）模型评估表明流域地表水体和沉积物总体上生态风险较低.     

Selecting Species for Marine Assessment of Radionuclides Around Amchitka: Planning for Diverse Goals and Interests

Considerable attention has been devoted to selecting bioindicator species as part of monitoring programs for exposure and effects from contaminants in the environment. Yet the rationale for selection of bioindicators is often literature-based, rather than developed with a firm site-specific base of data on contaminant levels in a diverse range of organisms at different trophic levels in the same ecosystem. We suggest that this latter step is an important phase in the environmental assessment process that is often missing. In this paper we address the problem of how to select a wide range of species representing different trophic levels that serve as a basis for selecting a few species suitable as bioindicators. We illustrate this with our assessment of radionuclides on Amchitka Island, Alaska. We propose a multi-stage process for arriving at the list of available species that includes review of literature, review by experts experienced in the area, review by interested and affected parties, selection of trophic levels or groups for analysis, arraying of possible species, and selection of species within each trophic level group for sample collection. We first had to identify all likely species, then narrow our focus to those we could collect and analyze. In all cases, review includes suggestions for possible target species with justifications. While this method increases the up-front costs of developing bioindicators for an ecosystem, it has the advantage of providing information for selection of species that will be most informative in the long run, including those that are the best bioaccumulators, thus providing the earliest warning of any potential environmental consequences. Further, the recognition that a range of stakeholder's needs and interests should be included increases the utility for public-policy makers, and the potential for continued usage to establish long-term trends.     

The risk assessment–policy gap: An example from the UK contaminated land regime

Risk-based regulation assumes that risk assessment can evaluate risks against policy objectives. However, policy goals are often ambiguous and require risk assessors to interpret them for use in risk assessment. This risk assessment-policy gap stems partly from normative and imprecise policy language but is rooted more fundamentally in society's uncertain expectations for the environment. Until this uncertainty is resolved, the democratic and regulatory effectiveness of risk regulation will be undermined by ad hoc policy decisions abdicated to risk assessors.     

农产品环境安全评价及对策--以江苏省为例

在界定农产品环境安全含义的基础上，构建了由农产品环境安全压力、状况和保障能力组成的江苏农产品环境安全评价指标体系，采用主成分分析法和聚类分析法对全省13个市进行实证分析，并进一步对造成显著区域差异的原因进行了分析。提出了相应的对策建议。     

Status of the Riparian Ecosystem in the Upper San Pedro River, Arizona: Application of an Assessment Model

A portion of Arizona’s San Pedro River is managed as a National Riparian Conservation Area but is potentially affected by ground-water withdrawals beyond the conservation area borders. We applied an assessment model to the Conservation Area as a basis for monitoring long-term changes in riparian ecosystem condition resulting from changes in river water availability, and collected multi-year data on a subset of the most sensitive bioindicators. The assessment model is based on nine vegetation bioindicators that are sensitive to changes in surface water or ground water. Site index scores allow for placement into one of three condition classes, each reflecting particular ranges for site hydrology and vegetation structure. We collected the bioindicator data at 26 sites distributed among 14 reaches that had similar stream flow hydrology (spatial flow intermittency) and geomorphology (channel sinuosity, flood-plain width). Overall, 39% of the riparian corridor fell within condition class 3 (the wettest condition), 55% in condition class 2, and 6% in the driest condition class. Condition class 3 reaches have high cover of herbaceous wetland plants (e.g., Juncus and Schoenoplectus spp.) along the perennial stream channel and dense, multi-aged Populus-Salix woodlands in the flood plain, sustained by shallow ground water in the stream alluvium. In condition class 2, intermittent stream flows result in low cover of streamside wetland herbs, but Populus-Salix remain abundant in the flood plain. Perennial wetland plants are absent from condition class 1, reflecting highly intermittent stream flows; the flood plain is vegetated by Tamarixa small tree that tolerates the deep and fluctuating ground water levels that typify this reach type. Abundance of herbaceous wetland plants and growth rate of Salix gooddingii varied between years with different stream flow rates, indicating utility of these measures for tracking short-term responses to hydrologic change. Repeat measurement of all bioindicators will indicate long-term trends in hydro-vegetational condition.