Synergistic cytotoxicity of binary combinations of inorganic and organic disinfection byproducts assessed by real-time cell analysis

Chlorine, chlorine dioxide, and ozone are widely used as disinfectants in drinking water treatments. However, the combined use of different disinfectants can result in the formation of various organic and inorganic disinfection byproducts (DBPs). The toxic interactions, including synergism, addition, and antagonism, among the complex DBPs are still unclear. In this study, we established and verified a real-time cell analysis (RTCA) method for cytotoxicity measurement on Chinese hamster ovary (CHO) cell. Using this convenient and accurate method, we assessed the cytotoxicity of a series of binary combinations consisting of one of the 3 inorganic DBPs (chlorite, chlorate, and bromate) and one of the 32 regulated and emerging organic DBPs. The combination index (CI) of each combination was calculated and evaluated by isobolographic analysis to reflect the toxic interactions. The results confirmed the synergistic effect on cytotoxicity in the binary combinations consisting of chlorite and one of the 5 organic DBPs (2 iodinated DBPs (I-DBPs) and 3 brominated DBPs (Br-DBPs)), chlorate and one of the 4 organic DBPs (3 aromatic DBPs and dibromoacetonitrile), and bromate and one of the 3 organic DBPs (2 I-DBPs and dibromoacetic acid). The possible synergism mechanism of organic DBPs on the inorganic ones may be attributed to the influence of organic DBPs on cell membrane and cell antioxidant system. This study revealed the toxic interactions among organic and inorganic DBPs, and emphasized the latent adverse outcomes in the combined use of different disinfectants.     

Catalytic activity,selectivity, and stability of co-precipitation synthesized Mn-Ce mixed oxides for the oxidation of 1,2-dichlorobenzene

Environmental Science and Pollution Research - Mn-Ce mixed oxides were prepared using a simple, facile, and high yielding co-precipitation method. The effects of the proportion of Mn/Ce and the...     

基于层次分析和模糊综合评价的区域危险品道路运输事故概率评估

考虑到我国现阶段可利用的危险品道路运输事故的历史数据十分有限,本文结合特定路段的实际情况,基于层次分析法和二级模糊综合评价法,建立了一种新的危险品道路运输事故概率评估方法。首先利用层次分析法,除了对特定路段的危险品、驾驶人员、运输车辆及罐体、道路及环境以及道路实时管理等常规影响因素进行更全面的分析外,还首次引入人为故意破坏等特殊影响因素,并根据各因素在危险品道路运输事故中的影响大小,采用1~9标度法确定各影响因素的权重;然后根据模糊数学理论,建立不同影响因素的隶属度函数;最后通过二级模糊综合评价形成危险品道路运输事故概率评估计算方法。通过实例研究表明,该方法可为危险品道路运输事故概率评估研究提供新的思路,为特定区域危险品道路运输风险管理工作的开展和评估提供指导,也有助于危险品运输管理决策支持系统的开发。     

Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China

To elucidate the air pollution characteristics of northern China, airborne PM_10(atmospheric dynamic equivalent diameter ≤ 10 μm) and PM_(2.5)(atmospheric dynamic equivalent diameter ≤ 2.5 μm) were sampled in three different functional areas(Yuzhong County,Xigu District and Chengguan District) of Lanzhou, and their chemical composition(elements, ions, carbonaceous species) was analyzed. The results demonstrated that the highest seasonal mean concentrations of PM_10(369.48 μg/m~3) and PM_(2.5)(295.42 μg/m~3) were detected in Xigu District in the winter, the lowest concentration of PM_(2.5)(53.15 μg/m~3) was observed in Yuzhong District in the fall and PM_10(89.60 μg/m~3) in Xigu District in the fall.The overall average OC/EC(organic carbon/elemental carbon) value was close to the representative OC/EC ratio for coal consumption, implying that the pollution of Lanzhou could be attributed to the burning of coal. The content of SNA(the sum of sulfate, nitrate,ammonium, SNA) in PM_(2.5)in Yuzhong County was generally lower than that at other sites in all seasons. The content of SNA in PM_(2.5)and PM_10 in Yuzhong County was generally lower than that at other sites in all seasons(0.24–0.38), indicating that the conversion ratios from precursors to secondary aerosols in the low concentration area was slower than in the area with high and intense pollutants. Six primary particulate matter sources were chosen based on positive matrix factorization(PMF) analysis, and emissions from dust, secondary aerosols, and coal burning were identified to be the primary sources responsible for the particle pollution in Lanzhou.     

Evaluation of health benefit using BenMAP-CE with an integrated scheme of model and monitor data during Guangzhou Asian Games

Guangzhou is the capital and largest city(land area:7287 km2)of Guangdong province in South China.The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutant dispersion.During the Guangzhou Asian Games in November 2010,the Guangzhou government carried out a number of emission control measures that significantly improved the air quality.In this paper,we estimated the acute health outcome changes related to the air quality improvement during the 2010 Guangzhou Asian Games using a next-generation,fully-integrated assessment system for air quality and health benefits.This advanced system generates air quality data by fusing model and monitoring data instead of using monitoring data alone,which provides more reliable results.The air quality estimates retain the spatial distribution of model results while calibrating the value with observations.The results show that the mean PM_2.5concentration in November 2010 decreased by 3.5μg/m~3 compared to that in 2009 due to the emission control measures.From the analysis,we estimate that the air quality improvement avoided 106 premature deaths,1869 cases of hospital admission,and 20,026 cases of outpatient visits.The overall cost benefit of the improved air quality is estimated to be 165 million CNY,with the avoided premature death contributing 90%of this figure.The research demonstrates that Ben MAP-CE is capable of assessing the health and cost benefits of air pollution control for sound policy making.     

Changes in distribution patterns of weed species richness in agricultural lands on Qinghai-Tibet Plateau under climate change北大核心CSCD

农田杂草是阻碍农业生产的主要因素之一.明确农田杂草丰富度分布格局对农业生产管理具有重要意义.以青藏高原农田杂草为研究对象,利用物种分布模型探讨基于县域尺度的农田杂草物种丰富度分布格局及其未来(2050s)的变化,利用逐步回归筛选影响物种丰富度的环境因子,基于传统最小二乘法(OLS)和地理加权回归模型(GWR)分析环境因子对农田杂草物种丰富度的影响,并对两种分析方法进行比较.结果显示:(1)分布在青藏高原的农田主要杂草有51科284种,其中59种单子叶杂草、222种双子叶杂草、135种一年生杂草和149种多年生杂草.青藏高原农田杂草物种丰富度呈由西向东递增的变化规律,物种丰富度中心(丰富度值为167-194)主要集中在一江两河、河湟谷地和川西北等地区;(2)全球气候变化背景下,未来(2050s)青藏高原农田杂草物种丰富度整体呈由东南向西北方向增加的趋势,其中SSP1-2.6情境下最多增加43种,SSP5-8.5情境下最多增加49种;(3)GWR模型优于OLS,其结果表明青藏高原农田杂草物种丰富度的主要驱动因子是最冷季平均温、太阳辐射和最干月降水量,上述变量对杂草丰富度的影响存在明显的空间差异性,其中最冷季平均温由南向北逐渐从负向影响转变为正向影响.太阳辐射整体在青藏高原东部边缘等地区对农田杂草丰富度起正向的影响,在藏东南、青藏高原北部边缘等地区起负向的影响.最干月降水量对整个研究区域起负向影响,并表现出影响力由南向北逐步递增的趋势.上述结果表明青藏高原农田杂草物种丰富度调查不足,实际观测到的丰富度值明显低于当前气候下潜在的丰富度值,存在低估现象.当前气候背景下的农田杂草物种丰富度中心分布地区在未来仍是重点监管对象,且未来青藏高原部分地区作物可能面临新的杂草入侵风险.建议未来研究应注重于青藏高原粮食主产区农田杂草群落结构和功能调查、杂草和作物种间关系、耕地尺度上丰富度驱动因子分析等方面,为区域杂草管理和防治提供充分科学依据.(图6表2参53)     

Intervention factors associated with environmental stressors resulting from cross-provincial transfers by coal resource-based enterprises

Environmental Geochemistry and Health - The environmental stressors associated with the cross-provincial transfer of coal resource-based enterprises (CREs) have become a critical concern for the...     

共存阳离子对砷、硒和钒毒性效应的影响及预测模型研究

为探明并量化共存阳离子存在下含氧阴离子型金属在生物体中的毒性效应,以模式植物小麦(Triticum aestivumL.)为研究对象,通过单一变量控制实验,探究了4种阳离子(Ca⁽²⁺⁾、Mg(2+)、Mg⁽²⁺⁾、Na(2+)、Na⁺和K+和K⁺)对3种典型含氧阴离子型金属(AsO_4+)对3种典型含氧阴离子型金属(AsO_4^(3-)、SeO_3(3-)、SeO_3^(2-)和VO_4(2-)和VO_4^(3-))毒性的影响,并构建了静电作用模型来预测和评估As、Se和V的生态毒性效应与风险。结果表明,Ca(3-))毒性的影响,并构建了静电作用模型来预测和评估As、Se和V的生态毒性效应与风险。结果表明,Ca⁽²⁺⁾对As、Se和V毒性的影响呈现出3种不同的趋势：在相同设计浓度范围内Ca(2+)对As、Se和V毒性的影响呈现出3种不同的趋势：在相同设计浓度范围内Ca⁽²⁺⁾的增加显著引起了As毒性的减弱(Adj.R(2+)的增加显著引起了As毒性的减弱(Adj.R²=0.76,P<0.05)、V毒性的加剧(Adj.R2=0.76,P<0.05)、V毒性的加剧(Adj.R²=0.81,P<0.05),而对Se毒性却没有显著影响。当Mg2=0.81,P<0.05),而对Se毒性却没有显著影响。当Mg⁽²⁺⁾从0.20 mmol·L(2+)从0.20 mmol·L^(-1)增加到2.73 mmol·L(-1)增加到2.73 mmol·L^(-1)时,Se主导形态的半数有效活度值(EC_(50){HSeO+3(-1)时,Se主导形态的半数有效活度值(EC_(50){HSeO+3^-})从40.40 μmol·L-})从40.40 μmol·L^(-1)显著下降为27.98 μmol·L(-1)显著下降为27.98 μmol·L^(-1),即Se毒性增强到原来的1.44倍(Adj.R(-1),即Se毒性增强到原来的1.44倍(Adj.R²=0.79,P<0.05)。静电作用理论能够很好地解释Ca2=0.79,P<0.05)。静电作用理论能够很好地解释Ca⁽²⁺⁾(或Mg(2+)(或Mg⁽²⁺⁾)在显著增强V(或Se)毒性中发挥的作用,将这种静电作用影响纳入考虑成功构建了可以定量预测V(Adj.R(2+))在显著增强V(或Se)毒性中发挥的作用,将这种静电作用影响纳入考虑成功构建了可以定量预测V(Adj.R²=0.88)和Se(Adj.R2=0.88)和Se(Adj.R²=0.95)毒性的静电作用模型。研究结果弥补了目前含氧阴离子型金属生态毒性研究的不足,为含氧阴离子型金属的土壤污染生态风险评估提供了指导与参考。     

Association of hearing loss with total and cause-specific mortality in US adults

Environmental Science and Pollution Research - We expected to explore the associations of hearing loss and hearing thresholds at different frequencies with total and cause-specific mortality. In...     

水肥管理对热带地区双季稻田CH4和N2O排放的影响

水稻土被广泛认为是甲烷（CH₄）和氧化亚氮（N₂O）主要排放源,深入研究不同水肥管理条件下热带地区双季稻田CH₄和N₂O的排放特征,对补充我国双季稻田温室气体排放研究的不足意义重大.本研究设置8个处理：常规灌溉-施磷钾肥（D-PK）、常规灌溉-施氮磷钾肥（D-NPK）、常规灌溉-施氮磷钾+有机肥（D-NPK+M）、常规灌溉-施有机肥（D-M）、长期淹水-施磷钾肥（F-PK）、长期淹水-施氮磷钾肥（F-NPK）、长期淹水-施氮磷钾+有机肥（F-NPK+M）和长期淹水-施有机肥（F-M）.采用密闭静态箱-气相色谱法测定双季稻田CH₄和N₂O排放量,测定水稻产量和估算全球增温潜势（GWP）及温室气体排放强度（GHGI）.结果表明：①早稻季和晚稻季CH₄累积排放量分别为10.3~78.9 kg·hm^-2和84.6~185.5 kg·hm^-2.与F-PK和F-NPK处理相比,早稻季F-NPK+M和F-M处理显著增加CH₄累积排放量.同一施肥条件下,长期淹水处理CH₄累积排放量高于常规灌溉处理.灌溉和施肥极显著影响早稻季CH₄累积排放量.②早稻季和晚稻季N₂O累积排放量分别为0.18~0.76 kg·hm^-2和0.15~0.58 kg·hm^-2.与F-PK处理相比,早稻季F-NPK处理N₂O累积排放量显著增加;与D-PK相比,D-NPK、D-NPK+M和D-M处理显著增加N₂O累积排放量.与F-PK相比,晚稻季长期淹水其它处理N₂O累积排放量显著增加;与D-PK处理相比,D-NPK和D-M处理N₂O累积排放量显著增加.施肥极显著影响早稻季N₂O排放;灌溉和施肥极显著影响晚稻季N₂O排放.③早稻和晚稻产量分别为7310.7~9402.4 kg·hm^-2和3902.8~7354.6 kg·hm^-2,且F-NPK和F-M处理下早稻产量显著高于F-PK和D-NPK、D-PK和D-NPK处理.与PK处理相比,同一灌溉条件下其余3种施肥处理均显著增加晚稻产量.早稻季GWP和GHGI分别为580.8~2818.5kg·hm^-2和0.08~0.30 kg·kg^-1.与F-PK处理相比,常规灌溉条件下早稻季各施肥处理间GWP无显著性差异;但长期淹水条件下F-NPK+M和F-M处理GWP均显著增加.早稻季F-NPK+M和F-M处理GHGI显著高于其它处理.晚稻季GWP和GHGI分别为3091.6~6334.2 kg·hm^-2和0.50~1.23 kg·kg^-1.灌溉显著影响早稻和晚稻季GWP和GHGI,施肥对晚稻季GWP和GHGI的影响不显著.④土壤NH₄⁺-N含量和5 cm土温均与CH₄排放呈极显著负相关,pH与CH₄排放呈极显著正相关,但与N₂O排放呈显著负相关.土壤NH₄⁺-N和NO₃^--N含量与N₂O排放呈极显著负相关.综合作物产量、GWP和GHGI考虑,D-NPK+M可推荐为当地最优的减排稳产的水肥管理模式.