外源和内源呼吸模式下好氧活性污泥的微生物群落演替及生物活性特征

通过模拟好氧活性污泥实验,采用PCR-DGGE技术并监测不同时期的CODCr、脱氢酶和总蛋白质的质量浓度,研究在外源和内源呼吸模式下,微生物群落结构及相关生物活性的变化。结果表明：未添加碳源处理中 CODCr的质量浓度稳定在100 mg·L-1左右;脱氢酶的质量浓度从1μg·mL-1降低到接近0μg·mL-1;总蛋白的质量浓度从0.05 mg·mL-1上升至0.07 mg·mL-1后下降至0.01 mg·mL-1左右;同时,微生物群落结构变化不大。外加葡萄糖处理中CODCr的质量浓度从1000 mg·L-1下降并稳定在100 mg·L-1左右;脱氢酶的质量浓度从2μg·mL-1上升到5μg·mL-1;总蛋白的质量浓度均从0.05 mg·mL-1上升至0.07 mg·mL-1后下降至0.005 mg·mL-1左右;同时,微生物群落多样性呈现收敛趋势。内源和外源呼吸模式下的活性污泥中,变形菌门（ Proteobacteria ）都是绝对优势种群,其次是拟杆菌门（ Bacteroidetes ）。内源呼吸末期δ-变形菌门（Deltaproteobacteria）消失,外源呼吸末期硝化螺菌门（Nitrospirae）消失。     

2010年洱海全湖磷负荷时空分布特征

为探讨不同来源磷负荷对洱海水体富营养化的贡献,研究了洱海入湖河流、干湿沉降和沉积物内源释放等来源磷负荷的时空变化特征. 结果表明:2010年洱海磷负荷的主要来源是入湖河流,其所带来的磷负荷占总入湖负荷的33%. 入湖河流磷负荷与洱海水体富营养化指数呈显著正相关,并且季节性变化明显,10月是高峰期入湖河流磷负荷区域差异较大,北部3条河流是主要来源,其中以弥苴河入湖磷负荷最大,占入湖河流磷负荷总量的52%. 沉积物磷扩散通量由北向南呈下降趋势,最高值在湖心区,11月最大. 干湿沉降入湖磷负荷季节性变化明显,干沉降占干湿沉降入湖磷负荷总量的47%. 外源入湖磷负荷控制,应以雨季之初为关键时期,以弥苴河及其流域为重点区域,以坝区农业污染控制为重点,同时应加强湖泊水体生态修复控制沉积物内源磷释放.      

典型地下水浅埋区加油站渗漏污染潜势分析及高潜势验证

地下水浅埋区的加油站油品渗漏可直接对土壤和地下水造成污染. 基于层次分析法对上海市黄浦江上游地区、崇明岛以及长兴岛内的119家加油站进行渗漏污染潜势分析,计算各加油站的LPV(leaking potential value,污染潜势值),并用四分法将119个加油站按LPV分为4个评价等级,有9个加油站LPV很高,3.60≤LPV＜4.07;49个加油站LPV较高,3.18≤LPV＜3.60;47个加油站LPV一般,2.73≤LPV＜3.18;14个加油站LPV较低,2.28≤LPV＜2.73. 针对2个LPV较高的已歇业加油站开展现场打井监测与取样分析.结果表明,这2个加油站的潜水层均出现油品渗漏污染,其中加油岛、管线区以及储油罐区是加油站渗漏污染重灾区,土壤中污染物以苯系物、萘以及总石油烃为主,总石油烃检出率达到71.4%~88.9%;地下水中污染物以总石油烃和MTBE(methyl tert-butyl ether,甲基叔丁基醚)为主,总石油烃检出率达到80.0%~100.0%,MTBE检出率达到33.3%~71.4%,对地下水源污染风险较大.      

土壤重金属污染的全过程控制

在介绍土壤环境重金属污染的特点及其在土壤中的赋存形态、迁移转化特征的基础上,阐述了土壤重金属污染的全过程控制措施,从源头到治理可分为：产前控制、产中控制和产生控制;同时阐述了各类措施的适用条件、范围、效果和费用,并对今后的治理研究提出了一些见解。     

外来污染物对土壤磷酸酶影响的研究进展

磷酸酶在磷循环中占有重要地位 ,对植物有着非常重要的意义。根据几十年的国内外资料 ,本文概述了重金属、农药、酸沉降以及其他各种外来污染物对土壤磷酸酶的影响 ,并探讨了磷酸酶作为表征土壤污染程度的指标的可行性。土壤磷酸酶与各种污染物的相互作用关系在环境中的应用方面还需进一步研究。     

化学强化洗脱修复铜、 菲及其复合污染黄土

采用批平衡法研究了乙二胺四乙酸二钠（EDTA）或/和十二烷基硫酸钠（SDS）强化洗脱铜（Cu2＋）或/和菲（PHE）污染的甘肃黄土.结果表明,EDTA或/和SDS能有效地去除单一或复合污染黄土中的Cu2＋或/和PHE,当EDTA浓度〈0.1 mol/L时,共存PHE对Cu2＋的去除有明显的促进作用,而当EDTA浓度〉0...     

化工污染场地氟污染土壤的稳定化技术研究

通过以某电解铝厂内的氟污染土壤为研究对象,添加钙、镁、铝剂及碱性材料共8种不同材料作为稳定剂开展稳定化修复技术研究,分析不同稳定剂对土壤pH值和氟化物浸出毒性的影响,探讨稳定剂对氟化物的稳定效果.结果表明:钙剂、镁剂、铝剂均降低了土壤pH值和氟化物的浸出浓度,其中氯化铝的投加量为3％时稳定效果最佳,氟化物浸出浓度下降了...     

Spatial prediction of soil contamination based on machine learning: a review

● A review of machine learning (ML) for spatial prediction of soil contamination. ● ML have achieved significant breakthroughs for soil contamination prediction. ● A structured guideline for using ML in soil contamination is proposed. ● The guideline includes variable selection, model evaluation, and interpretation. Soil pollution levels can be quantified via sampling and experimental analysis; however, sampling is performed at discrete points with long distances owing to limited funding and human resources, and is insufficient to characterize the entire study area. Spatial prediction is required to comprehensively investigate potentially contaminated areas. Consequently, machine learning models that can simulate complex nonlinear relationships between a variety of environmental conditions and soil contamination have recently become popular tools for predicting soil pollution. The characteristics, advantages, and applications of machine learning models used to predict soil pollution are reviewed in this study. Satisfactory model performance generally requires the following: 1) selection of the most appropriate model with the required structure; 2) selection of appropriate independent variables related to pollutant sources and pathways to improve model interpretability; 3) improvement of model reliability through comprehensive model evaluation; and 4) integration of geostatistics with the machine learning model. With the enrichment of environmental data and development of algorithms, machine learning will become a powerful tool for predicting the spatial distribution and identifying sources of soil contamination in the future.     

生态修复后某矿区下游农田土壤金属污染特征与风险评价

为研究广东省某矿区开展生态修复多年后下游农田土壤的金属污染状况,选取该矿区下游某村周边农田土壤及灌溉水渠作为研究对象,对该区域采集了40个土壤表层样本和8个水体样本,利用Arcgis软件对农田土壤样品中As、Cu、Cd、Pb、Zn、Mn和Fe₂O₃的质量分数进行克里金空间插值,解析该区域农田土壤金属的空间分布特征;采用综合污染指数法和潜在生态风险指数法对该区域耕作层土壤中As、Cu、Cd、Pb、Zn和Mn进行风险评价。结果表明,40个土壤样品中As、Cd、Cu、Zn和Pb的超标率分别为77.5%、70%、87.5%、27.5%和67.5%,说明调查区域农田土壤污染属于多金属复合污染,且对农作物的生产和安全产生巨大的威胁。部分土壤样品中As、Pb和Cd含量超过了中国农用地土壤污染风险管制值,需采取严格管控措施。通过分析土壤金属的空间分布,发现土壤金属含量超标点位主要位于灌溉口与受污染河流周边,且含量与离灌溉口距离成反比。结合目前灌溉水样中的金属均未超标的情况,得出该区域农田土壤污染是由该矿区生态环境修复前所产生的含金属灌溉水导致土壤中金属的积累...     

Optimal Environmental Management Strategy and Implementation for Groundwater Contamination Prevention and Restoration

An innovative management strategy is proposed for optimized and integrated environmental management for regional or national groundwater contamination prevention and restoration allied with consideration of sustainable development. This management strategy accounts for availability of limited resources, human health and ecological risks from groundwater contamination, costs for groundwater protection measures, beneficial uses and values from groundwater protection, and sustainable development. Six different categories of costs are identified with regard to groundwater prevention and restoration. In addition, different environmental impacts from groundwater contamination including human health and ecological risks are individually taken into account. System optimization principles are implemented to accomplish decision-makings on the optimal resources allocations of the available resources or budgets to different existing contaminated sites and projected contamination sites for a maximal risk reduction. Established management constraints such as budget limitations under different categories of costs are satisfied at the optimal solution. A stepwise optimization process is proposed in which the first step is to select optimally a limited number of sites where remediation or prevention measures will be taken, from all the existing contaminated and projected contamination sites, based on a total regionally or nationally available budget in a certain time frame such as 10 years. Then, several optimization steps determined year-by-year optimal distributions of the available yearly budgets for those selected sites. A hypothetical case study is presented to demonstrate a practical implementation of the management strategy. Several issues pertaining to groundwater contamination exposure and risk assessments and remediation cost evaluations are briefly discussed for adequately understanding implementations of the management strategy.