绿狐尾藻分解及其氮磷释放特征

湿地植物分解释放的有机物、氮和磷等会影响人工湿地对水体污染物的去除效率和出水水质.本研究采用尼龙分解袋法研究绿狐尾藻在水中的分解过程及氮磷释放特征.连续60 d的室内分解实验结果表明,前期(0～4 d)绿狐尾藻干物质质量损失速率快,占初始质量的30%,中后期(4～60 d)损失速率减慢,占31%.拟合的一级动力学分解速率常数为0. 014 2d-1,降解50%的干物质需48. 8 d.水体p H值变化情况:0～4 d从7. 60迅速下降到5. 63;中期趋于稳定;后期p H值回升到7. 03,与空白对照值接近.绿狐尾藻分解实验系统中溶解氧浓度从6. 30 mg·L~(-1)在1 d内快速下降到0. 61 mg·L~(-1),表明该系统一直处于厌氧状态.水中总氮浓度0～2 h迅速增加达到12. 7 mg·L~(-1),2 h～32 d逐渐降低到5. 80 mg·L~(-1),后期略有增加;总磷浓度初期快速升高到18. 4 mg·L~(-1),中后期趋于稳定.有机氮(占总氮65. 7%～94. 7%)和无机磷(占总磷61%～89%)是主要的氮磷存在形态.绿狐尾藻体内总氮含量随分解时间逐渐增加,从24. 3 mg·g~(-1)上升到60. 5 mg·g~(-1);而总磷含量从6. 09 mg·g~(-1)下降到2. 94 mg·g~(-1)后波动稳定,这可能与附着微生物对氮的吸收和固定等因素有关.本研究证实绿狐尾藻分解过程释放的氮磷营养元素会引起水体二次污染,为此采用合理的植物收割管理措施非常必要.     

南北差异视角下个体食物浪费行为——基于大学生高校食堂就餐情境的分析

饮食习惯一直被认为是造成食物浪费的重要因素。基于对29省29所高校9192份大学生食堂就餐的实地调查问卷,从南北差异视角探讨了个体食物浪费行为的差异特征。研究表明：相对北方籍大学生,南方籍大学生浪费食物的概率更高,南方籍大学生在高校食堂就餐时食物浪费量和浪费率也高于北方籍大学生。通过中介效应模型,证实南北方主流饮食模式是引发浪费差异的关键所在。进一步匹配大学生南北方籍贯和所就读高校的南北区位,并以“南方大学生在南方高校求学”模式为基准,发现“南方大学生到北方高校求学”模式下,个体有更低的食物浪费概率、浪费量和浪费率。但“北方大学生到南方高校求学”模式下,个体没有显示出较低的食物浪费概率、食物浪费量和食物浪费率,从而稳健地证实南北方主流饮食模式是引发浪费差异的关键所在这一结论。     

食物转化视角下我国家庭食物浪费程度与影响因素——基于CHNS数据的实证分析

长期以来,我国食物供应充足稳定,但是人口、环境等因素不断对此提出挑战,并且我国每年的食物损失和浪费数量十分惊人。从食物转化视角将食物浪费率定义为家庭食物消费中未能正常转化为家庭成员身体质量指数的比例,采用随机前沿模型并基于CHNS数据估算我国家庭食物浪费率,并探讨家庭异质性特征的影响。结果显示：家庭平均浪费率为11.28%;家庭规模越小、孩子或老年人的数量越多、收入水平越高、南方地区、户主的受教育程度越低、主要女性成员的受教育程度越高或者有工作、对膳食知识掌握程度越低的家庭浪费率越高。因此,要鼓励生产小包装食物和小型厨具,指导家庭根据实际需求购买食物,加强推广食育运动,开展节粮活动并教授减损措施。     

浏阳河长沙段CODMn、NH3-N和TP综合降解系数研究

采用现场水团追踪法,研究了浏阳河长沙段COD_Mn、NH₃-N和TP的综合降解系数与河段水流流速之间的相关关系,并通过河段历史水文和水质监测数据对所建立的相关方程进行了验证.结果表明,浏阳河长沙段COD_Mn、NH₃-N和TP的综合降解系数与流速之间呈明显的线性相关关系,相关方程形式分别为K（COD_Mn）=0.037+0.635v、K（NH₃-N）=0.059+0.315v和K（TP）=0.004+0.140v.所建立的线性相关方程对研究河段COD_Mn、NH₃-N和TP浓度预测结果的决定系数均大于0.90、相对均方根误差均小于0.10.受风浪作用、紊动水流和弯道环流的影响,当流速小于0.35m/s时,顺直河段的污染物综合降解系数均大于弯曲河段的污染物综合降解系数;当流速大于0.46m/s时,弯曲河段污染物综合降解系数均大于顺直河段的污染物综合降解系数.研究成果对浏阳河长沙段水质管理与水环境保护具有重要的参考价值.     

新烟碱类农药呋虫胺对映体选择性研究进展

农业生产中,呋虫胺以外消旋体的形式销售和使用,在进入生态环境后出现对映体选择性降解、吸收、代谢、排泄等.不区分对映体间差异的传统风险评估给呋虫胺的合理使用与生态安全带来了诸多隐患.研究指出S-呋虫胺既是高毒体也是高活体,其生态毒性为R-呋虫胺的13.9~145.9倍,但R-呋虫胺也表现出较高的杀虫活性,且作物中优先降解,开发高比例的R体农药有利于维持杀虫活性的同时降低对非靶生物和生态环境的负效应.本文旨在综述呋虫胺对映体选择性生物活性、生态毒性及环境行为研究进展,为其科学难题的解决提供新思路,也为其科学有效管理提供理论依据.     

Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown

Stringent quarantine measures during the Coronavirus Disease 2019 (COVID-19) lockdown period (January 23, 2020 to March 15, 2020) have resulted in a distinct decrease in anthropogenic source emissions in North China Plain compared to the paralleled period of 2019. Particularly, 22.7% decrease in NO₂ and 3.0% increase of O₃ was observed in Tianjin, nonlinear relationship between O₃ generation and NO₂ implied that synergetic control of NO_x and VOCs is needed. Deteriorating meteorological condition during the COVID-19 lockdown obscured the actual PM_2.5 reduction. Fireworks transport in 2020 Spring Festival (SF) triggered regional haze pollution. PM_2.5 during the COVID-19 lockdown only reduced by 5.6% in Tianjin. Here we used the dispersion coefficient to normalize the measured PM_2.5 (DN-PM_2.5), aiming to eliminate the adverse meteorological impact and roughly estimate the actual PM_2.5 reduction, which reduced by 17.7% during the COVID-19 lockdown. In terms of PM_2.5 chemical composition, significant NO₃^? increase was observed during the COVID-19 lockdown. However, as a tracer of atmospheric oxidation capacity, odd oxygen (O_x = NO₂ + O₃) was observed to reduce during the COVID-19 lockdown, whereas relative humidity (RH), specific humidity and aerosol liquid water content (ALWC) were observed with noticeable enhancement. Nitrogen oxidation rate (NOR) was observed to increase at higher specific humidity and ALWC, especially in the haze episode occurred during 2020SF, high air humidity and obvious nitrate generation was observed. Anomalously enhanced air humidity may response for the nitrate increase during the COVID-19 lockdown period.     

Enhanced the photoelectrochemical performance of Bi2XO6 (X = W, Mo) for detecting hexavalent chromium by modification of CuS

In this work, Bi₂XO₆ (X = W, Mo) are synthesized at different temperatures. The results of tests find the optimal temperatures of Bi₂WO₆ and Bi₂MoO₆ are 180 and 160°C (BW-180, BM-160). Then, BW-180 and BM-160 are further compounded with different contents of CuS. The results of photoelectrochemical (PEC) tests show that CuS can improve the PEC performance of semiconductor materials, and it has better performance when CuS mass fraction is 5%. These maybe the photoelectron potentials generated by CuS/Bi₂XO₆ (X = Mo, W) heterojunction reduce the combination of photogenerated electrons and holes. When the PEC sensor based on 5%-CuS/BW-180 detects Cr(VI), it has a linear range of 1–80 μmol/L with detection limit of 0.95 μmol/L, while the PEC sensor based on 5%-CuS/BM-160 detects Cr(VI) has a linear range of 0.5–230 μmol/L and a detection limit of 0.12 μmol/L. Thus, 5%-CuS/Bi₂XO₆ has potential application in hexavalent chromium detection.     

基于PMF模型解析典型化工园区VOCs污染来源应用研究

选取某小型化工园区为研究对象,在不同日期进行样品采集并使用气相色谱-质谱联用仪(GC-MS)定性定量分析,评估该区域VOCs污染水平及特征,同时研究P MF模型解析小尺度区域VOCs污染来源的可行性.结果表明,该研究区域VOCs浓度明显高于城市环境空气及其他化工园区,存在较重污染;该区域VOCs的主要成分为丙烯、苯、甲苯、萘、间-乙基甲苯、丙酮、丙烷、1,2,4-三甲苯、异丁烷等物质,各排放源污染特征显著,差异性明显;使用PMF模型对观测期间VOCs源解析,共获得4个因子,各因子与该区域不同排放源工艺及污染特征能够高度对应,并依此计算了各点位VOCs污染来源,结果与污染物扩散规律相符,PMF模型应用于小尺度污染物溯源分析具有可行性,能够很好地解析VOCs污染来源.