福建某石化企业废气排放及土壤污染现状调查及研究

石化工业园区造成的累积环境影响随着其蓬勃发展而逐步显现,其污染物质在周边土壤与河流底质中的积累影响较为显著[1],目前,我国已有不少关于化工园区环境污染的研究,多集中在水和空气污染问题的研究[2-5],较少针对石油化工园区土壤累积影响的研究[6-7]。本文以我省某石化园区为调查对象,通过该园区废气污染物排放监测及土壤环境现状调查,了解我省新型石化工业园区环境污染状况,对提高石化行业土壤污染防控有重要指导意义。     

对土壤环境监测质量控制问题的分析

土壤环境质量检测是土壤污染防治行动计划的先行任务,在整体土壤环境监测工作中,应该贯穿质量控制措施。本文结合样品采样、制样、实验室两方面质量控制进行深入分析,论述采取质量控制的措施,总结归纳土壤环境监测工作过程中质量控制措施。     

土壤重金属分布特征及生态风险评价——以福建某农田保护区为例

土壤的重金属含量情况是反应土壤受污染情况的重要指标,也是体现土地出产农产品健康质量的重要信号,因而受到越来越多的高度关注。本文以福建省闽某地区域内的农田保护区为研究对象,对农田土壤的重金属含量进行检测,采用科学研究方法 ,对重金属分布特征、污染现状及潜在风险进行分析评价,深入查找形成因素,以期为更好地保护和开发当地土地资源,促进农田经济的可持续发展提供科学依据。     

重金属污染土壤稳定化修复效果评估方法分析

重金属是工业生产的废弃物,可随着雨水渗透至低处,通过在植物体内聚集停留于土壤,导致土壤退化,农作物品质降低。同时,还会污染地下水,恶化水文环境,威胁人类生命。本文首先分析了重金属污染土壤的来源和现状,然后分析了重金属污染土壤的特点和危害,最后探讨了污染土壤稳定化修复效果的评估方法和二次污染防治,以供参考。     

土壤环境质量标准在工程应用中的局限性分析

为贯彻落实《中华人民共和国环境保护法》,加强建设用地土壤环境监管,管控污染地块对人体健康的风险,保障人居环境安全,生态环保部组织相关部门编制了土壤环境质量标准,并于2018年8月1日起开始实施。在标准实施的过程和应用过程中发现新发布的标准存在一些局限性。本文以土壤污染机理为基础,结合现行的治理技术,论述土壤质量标准在时间、空间及应用中的局限性。     

湿地植物水蓼(Polygonum hydropiper L.)对镉的富集特征及生理响应

以人工湿地修复镉污染水体时,植物在镉离子的沉淀、吸收和积累等过程中起着关键作用,但当前报道的镉富集植物种类较少,湿地植物对镉胁迫的生长及生理响应缺乏系统研究,限制了湿地植物在镉污染水体修复中的应用。笔者以常见湿地植物水蓼(Polygonum hydropiper L.)为对象,设置了4个镉处理浓度(0、0.5、1和2 mg·L~(-1)),研究了水蓼对镉的富集特征以及生长和生理响应。水蓼根、茎和叶的镉含量(以干重计)随镉处理浓度的增加而升高,处理30 d时,在2 mg·L~(-1)处理下分别达到134、47和48 mg·kg~(-1)。处理30 d时,在1 mg·L~(-1)的镉处理下,水蓼的地上部及地下部富集系数和转运系数最高,地上部和地下部富集系数分别为45.6和111.7,转运系数为0.41。在处理15 d时,水蓼生物量、叶绿素含量和超氧化物歧化酶(SOD)活性在2 mg·L~(-1)处理下显著降低。在处理30 d时,水蓼的总生物量在不同镉浓度下无显著差异,但丙二醛(MDA)含量、SOD和过氧化氢酶(CAT)活性在0.5～2 mg·L~(-1)镉处理下均显著升高,叶绿素含量下降。这些结果表明,水蓼可以通过提高抗氧化酶活性等机理抵抗镉胁迫产生的氧化伤害,并且水蓼对镉的富集和转运系数较高,具有在镉污染水体修复中应用的潜力。     

Soil biological characteristic,nutrient contents and stoichiometry as affected by different types of remediation in a smelter-impacted soil

ABSTRACT

In order to evaluate the ecological risk reductions of copper (Cu) and cadmium (Cd) and the change of nutrient contents and stoichiometry in a smelter-impacted farmland in Guixi, Jiangxi Province, China, with ～ 800?mg Cu kg^?1 soil and 0.8?mg Cd kg^?1 soil, an three years in situ experiment was conducted. The field trial consisted of 4 ×?5?m plots in a completely randomised block design. Hydroxyapatite was added at 10?g kg^?1 soil and Sedum plumbizincicola, Elsholtzia splendens, and Pennisetum sp. were planted. Post-treatment soil and plant samples were collected annually and analysed for Cu and Cd bioaccessibility, soil carbon: nitrogen: phosphorus (C:N:P), and the stoichiometries of soil β-glucosidase (BG), N-acetylglucosaminidase (NAG), and acid phosphatase (AP) activity levels. The results indicated that the hydroxyapatite treatments significantly reduced Cu and Cd bioaccessibility as well as the ratio of C:P and N:P. Moreover, BG, NAG, and AP activity levels all increased relative to those in untreated soil. Plants may also influence soil BG, NAG, and AP activity. This study demonstrated that in situ Cu and Cd stabilisation by hydroxyapatite and phytoextraction is ecologically safe and can alter soil mineral nutrient ecological stoichiometry and enzyme activity.     

Adsorption characteristics of ciprofloxacin onto g-MoS2 coated biochar nanocomposites

• The g-MoS₂ coated composites (g-MoS₂-BC) were synthesized. • The coated g-MoS₂ greatly increased the adsorption ability of biochar. • The synergistic effect was observed for CIP adsorption on g-MoS₂-RC700. • The adsorption mechanisms of CIP on g-MoS₂-BC were proposed. The g-MoS₂ coated biochar (g-MoS₂-BC) composites were synthesized by coating original biochar with g-MoS₂ nanosheets at 300°C(BC300)/700°C (BC700). The adsorption properties of the g-MoS₂-BC composites for ciprofloxacin (CIP) were investigated with an aim to exploit its high efficiency toward soil amendment. The specific surface area and the pore structures of biochar coated g-MoS₂ nanosheets were significantly increased. The g-MoS₂-BC composites provided more π electrons, which was favorable in enhancing the π-π electron donor-acceptor (EDA) interactions between CIP and biochar. As a result, the g-MoS₂-BC composites showed faster adsorption rate and greater adsorption capacity for CIP than the original biochar. The coated g-MoS₂ nanosheets contributed more to CIP adsorption on the g-MoS₂-BC composites due to their greater CIP adsorption capacity than the original biochar. Moreover, the synergistic effect was observed for CIP adsorption on g-MoS₂-BC700, and suppression effect on g-MoS₂-BC300. In addition, the adsorption of CIP onto g-MoS₂-BC composites also exhibited strong dependence on the solution pH, since it can affect both the adsorbent surface charge and the speciation of contaminants. It was reasonably suggested that the mechanisms of CIP adsorption on g-MoS₂-BC composites involved pore-filling effects, π-π EDA interaction, electrostatic interaction, and ion exchange interaction. These results are useful for the modification of biochar in exploiting the novel amendment for contaminated soils.     

Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing,China

A method was proposed to identify the main influence factors of soil heavy metals. The influence degree of different environmental factors was ranked. Parent material, soil type, land use and industrial activity were main factors. Interactions between some factors obviously affected soil heavy metal distribution. Identifying the factors that influence the heavy metal contents of soil could reveal the sources of soil heavy metal pollution. In this study, a categorical regression was used to identify the factors that influence soil heavy metals. First, environmental factors were associated with soil heavy metal data, and then, the degree of influence of different factors on the soil heavy metal contents in Beijing was analyzed using a categorical regression. The results showed that the soil parent material, soil type, land use type, and industrial activity were the main influencing factors, which suggested that these four factors were important sources of soil heavy metals in Beijing. In addition, population density had a certain influence on the soil Pb and Zn contents. The distribution of soil As, Cd, Pb, and Zn was markedly influenced by interactions, such as traffic activity and land use type, industrial activity and population density. The spatial distribution of soil heavy metal hotspots corresponded well with the influencing factors, such as industrial activity, population density, and soil parent material. In this study, the main factors affecting soil heavy metals were identified, and the degree of their influence was ranked. A categorical regression represents a suitable method for identifying the factors that influence soil heavy metal contents and could be used to study the genetic process of regional soil heavy metal pollution.     

Nutrient status and pollution levels in five areas around a manganese mine in southern China

• The soil TP level was high or extremely high in all areas. • TN, OM and available Cu were insufficient in EA, TA and RA. • All areas reached the heavily polluted level and had high ecological risk levels. • Mn and Cd were the dominant pollutants. Nutrient status and pollution levels are the main factors affecting soil restoration. The nutrient status and pollution levels in five areas, an unexplored mine area (UA), an explored mine area (EA), a tailings area (TA), a reclamation area (RA) and an agricultural area (AA), around the Pingle manganese mine in Guangxi, China, were assessed in this study. The results showed that the average total phosphorus in these five areas ranged from 1.05 to 1.57 mg/kg, corresponding to grades of extremely high and high. The average total nitrogen values were 0.19, 0.69, 0.93, 1.24 and 1.67 mg/kg in EA, TA, RA, UA and AA, corresponding to grades of very low, low, medium-low, medium-high and medium-high, respectively. The average organic matter values were 12.78, 8.92, 22.77, 21.29 and 29.11 mg/kg in EA, TA, RA, UA and AA, which corresponded to grades of medium-low, low, medium-high, medium-high and medium-high, respectively. All these results indicated that the total phosphorus was sufficient in these areas, while the total nitrogen and organic matter were insufficient in EA, TA and RA. The available concentrations of Mn and Zn corresponded to the intermediate grade, while the values for Cu corresponded to the very low grade; these might be another factor restricting ecological reclamation. Contamination and ecological risk assessments based on the single contamination index, Nemerow multi-factor index and potential ecological risk index showed that the five tested areas around the Mn mine were considered heavily polluted and presented high ecological risk. Mn and Cd were the dominant pollutants.