盐渍化环境下秸秆还田对稻米汞及甲基汞累积的影响

通过盆栽试验探讨了盐渍化环境下秸秆还田对土壤中总汞（THg）、甲基汞（MeHg）含量和转化以及对水稻吸收汞的影响.试验用土采集自天津典型污灌地区,人为添加不同梯度的盐分（0、0.2%、0.5% NaCl）及外源汞（0、5mg/kg~Hg（NO₃）₂）,秸秆还田按照0.1%进行处理.结果显示：1.秸秆还田促进稻田系统中无机汞的甲基化.与未添加秸秆的处理相比,秸秆还田后土壤MeHg含量提高了56.8%~76.8%,水稻MeHg含量增加了127%~171.6%.2.在轻度盐渍化稻田开展秸秆还田,会进一步提高稻田土壤中汞的甲基化水平,进而增加水稻籽粒中甲基汞含量.与不添加盐分处理相比,轻度盐渍化环境中（0.2% NaCl）,秸秆还田处理导致土壤MeHg含量提高了92.2%~101.2%,水稻籽粒MeHg含量增长了52.8%~132.1%.更高的盐渍化水平会抑制土壤汞甲基化趋势,水稻籽粒中甲基汞含量降低.在中度盐渍化环境中（0.5% NaCl）,秸秆还田导致土壤MeHg含量降低了57.9%~88.6%,水稻籽粒MeHg含量降低了72.9%~86.8%.以上研究结果表明,在盐渍化且汞污染稻田开展秸秆还田可能大幅度增加该地区汞食物链暴露风险,因此在中轻度盐渍化的污灌区,对秸秆还田等农艺措施需要格外慎重.     

溶解性微生物产物在GO/PVDF杂化膜面的污染行为

为了解析溶解性微生物产物（SMP）在GO/PVDF杂化膜面的污染特性,对膜片进行了宏观污染实验,并采用耗散石英微晶天平（QCM-D）从微观角度分析了SMP在自制镀膜芯片上的吸附规律和污染层结构变化.结果表明,GO含量为0.5wt%的膜污染恢复率最高（79.95%）,抗污染能力最强.QCM-D实验发现,GO含量为0wt%镀膜芯片表面SMP吸附量最大,污染较为严重.膜片亲水性越强,吸附频率变化越小,抗污染能力越强.此外,GO含量为0.5wt%镀膜芯片表面的污染物结构比较疏松和柔软,其他膜表面的污染物结构较为坚硬和致密.     

洛阳市大气细颗粒物化学组分特征及溯源分析

为研究洛阳市大气细颗粒物(PM2.5)的化学组分及来源的时空分布特征,对汾渭平原地区较为欠缺的PM2.5相关研究进行补充,在2018年4月至2019年1月在洛阳市高新和林校2个点位进行了样品采集,对P(PM2.5)、化学组分(水溶性离子、碳质组分、元素)和来源进行分析.2个点位的年均ρ(PM2.5)分别为(76.6±37.9)μg-m-3和(83.2±38.9)μg·m-3,季节变化由高到低均为:冬季、春季、秋季和夏季.高新和林校的9种水溶性离子浓度分别占PM2.5的 55.1％和54.2％,林校的二次离子(NO3-、SO42-和NH4+)年均浓度之和高于高新.高新和林校的ρ[有机碳(OC)]、P[元素碳(EC)]分别为(12.4±7.7)μg·m-3、(1.2±0.5)μg·m-3和(13.4±7.7)μg·m-3、(1.3±0.5)μg·m-3,林校的含碳组分在各季节均高于高新;高新和林校冬季的二次有机碳(SOC)在OC中质量分数分别为67.8％和77.3％,远高于其他季节.化学质量平衡结果表明,高新和林校的主要贡献源均为二次硝酸盐(26.9％和27.1％)、二次硫酸盐(14.5％和14.8％)、燃煤(12.6％和11.6％)、SOA(10.8％和12.2％),高新的生物质源贡献较高,而林校的扬尘源和机动车源贡献较高.后向轨迹和潜在源贡献因子分析表明,洛阳市春季不仅受到来自西北方向的传输,来自西南地区的污染传输也不能忽略;夏季既受到正东方向的季风影响,又有来自正南方向的潜在污染;秋季污染物主要来自东南方向,同时也存在西北方向的潜在来源;冬季受到的传输影响则主要来自周边区域,污染来源较为集中.     

重庆市煤矸山周边农产品镉健康风险评价及土壤环境基准值推导

以重庆市煤矸山周边农用地土壤和农产品（玉米和水稻）为研究对象,测定土壤和农产品（玉米和水稻）中Cd含量,评估摄入农产品（玉米和水稻）对人体的潜在健康风险,并基于物种敏感性分布法（SSD）推导土壤环境基准值.结果表明,重庆煤矸山周边旱地土壤Cd含量超风险筛选值的点位占55.8%,水田土壤Cd含量超风险筛选值的点位占31.6%,土壤Cd以较高生态危害和高生态危害为主,分别占47.4%和36.8%.玉米Cd含量超标点位占4.4%,水稻Cd含量均未超标.健康风险评价表明因食用玉米和水稻摄入Cd的非致癌健康风险可忽略,食用玉米摄入Cd存在可耐受致癌健康风险,食用水稻摄入Cd存在不可耐受致癌健康风险,且玉米和水稻Cd含量敏感度最高.SSD推导出煤矸山周边旱地土壤在pH≤5.5、5.57.5时Cd的环境基准值分别为0.491、0.382、0.376和0.588 mg ·kg^-1,水田土壤Cd的环境基准值为0.807 mg ·kg^-1.水田土壤和旱地土壤pH≤7.5时,现行土壤标准（GB 15618-2018）相对偏严;旱地土壤pH>7.5时,现行土壤标准（GB 15618-2018）相对偏宽松.应加强煤矸山周边土壤Cd污染防治和农产品安全利用研究,并对土壤Cd环境基准值进行适当调整.     

水田甲烷排放研究进展

本文对水田甲烷排放通量的研究进展及有关的土壤和环境因素作了综述。指出用于减少水田甲烷排放的措施不应导致水稻的减产和引起其它温室气体排放的增加。应开展落干期间水田作为大气甲烷汇的作用的研究。     

Process of rice straw degradation and dynamic trend of pH by the microbial community MC1

The process of the rice straw degradation in the fermentor with aeration at 290 ml/h was studied. The results of dissolved oxygen （DO） indicated that the optimum DO during cellulose degradation by microbial community MC1 ranged from 0.01 to 0.12 mg/L. The change model ofpH values was as follows： irrespective of the initial pH of the medium, pH values decreased rapidly to approximate 6.0 after being inoculated within 48 h when cellulose was strongly degraded, and then increased slowly to 8.0--9.0 until cellulose was degraded completely. During the degradation process, 15 kinds of organic compounds were checked out by GC-MS. Most of them were organic acids. Quantity analysis was carried out, and the maximum content compound was ethyl acetate which reached 13.56 g/L on the day 4. The cellulose degradation quantity and ratio analyses showed that less quantity （under batch fermentation conditions） and longer interval （under semi-fermentation conditions） of rice straw added to fermentation system were contributed to matching the change model of pH, and increasing the quantity and ratio of rice straw degradation during cellulose degrading process. The highest degradation ratio was observed under the condition office straw added one time every five days （under semi-fermentation conditions）.     

持续淹水和干湿交替预培养对2种水稻土中Cd形态分配及高丹草Cd吸收的影响

采用盆栽试验的方法,研究了前期持续淹水和干湿交替预培养对2种水稻土———太湖地区黄泥土、江西鹰潭红壤性水稻土中外源Cd形态分配及高丹草吸收Cd的影响.结果表明,在5mg·kg^-1和10mg·kg^-1外源Cd处理下,与干湿交替预培养比较,持续淹水预培养后黄泥土中MgCl₂提取态Cd分别由21.8%、28.5%下降为8.0%、16.9%,而NH₂OH.HCl提取态Cd由17.7%、17.3%升高为28.1%、37.5%;红壤性水稻土NaAc提取态Cd由20.8%、29.6%下降为11.6%、12.6%.回归分析表明,MgCl₂提取态Cd与高丹草Cd吸收量呈显著负相关关系.长期淹水预培养显著降低高丹草对黄泥土Cd的吸收.     

转cry1Ab基因水稻中毒蛋白的表达、分泌及其在土壤中的残留

研究了转cry1Ab基因水稻(克螟稻)中Cry1Ab毒蛋白的表达、根系分泌及其在土壤中的残留规律.结果表明,分蘖始期至成熟期,克螟稻地上部和根部中的Cry1Ab毒蛋白的表达量(FW)分别为3.23～8.22 μg/g和0.68～0.89 μg/g.生育期间克螟稻根系分泌的Cry1Ab毒蛋白含量仅为1.66～48.02 ng/(株·d).试验证实,克螟稻根际土中的Cry1Ab毒蛋白残留含量低于检测限(<0.5ng/g 干燥土).生物测定还表明,克螟稻根际土及其提取液对棉铃虫初孵幼虫和3龄幼虫不产生致死性效应.相对于Cry1Ab毒蛋白的根系分泌转移,克螟稻秸秆还田对土壤环境的影响应引起重视.     

稻田土菌群驯化对稻秆两步发酵产甲烷效果的影响

为提高稻秆的降解率及其厌氧发酵甲烷产量,采用高氨氮畜禽废水作为氮源以驯化稻田土壤微生物,优化其降解稻秆的初始pH值,并评估水解产物液体发酵产甲烷性能.结果表明,混合组驯化的微生物产纤维素酶活性及对稻秆木质素的降解率高于其它组及先前文献报道,分别达到4.01 IU和51.96%,且后期水解液中总有机碳（Total organic carbon, TOC）及还原糖含量最高.随着初始pH值的提高,稻秆中纤维素、半纤维素和木质素的降解率显著增加,稻秆水解液中的挥发性脂肪酸（Volatile fatty acids, VFAs）和TOC含量均显著增加,并在第7 d达到最高值.将水解稻秆7 d的水解液进行厌氧发酵显示,在初始pH=9.0条件下累积甲烷产量达到最大,为37.60 mL·mL^-1水解液.本实验结果表明, 驯化的稻田土微生物在碱性条件下可以更有效地降解稻秆,提高水解液中TOC及VFAs含量,从而提高厌氧发酵的甲烷产量.     

Higher-efficiency for combined photovoltaic-thermoelectric solar power generation

Solar energy application in a large spectrum has the potential for high-efficiency energy conversion. Though, solar cells can only absorb photon energy of the solar spectrum near their band-gap energy, and the remaining energy will be converted into thermal energy. The use of the thermoelectric generator becomes a necessity for convert this thermal energy dissipated so as to increase efficiency conversion.

This paper analyses the feasibility of photovoltaic-thermoelectric hybrid system and reviews their performance in order to optimize harvested energy. Regarding the thermoelectric effect, a new method of the ambient energy harvesting is presented. This method combines thermoelectric generators and the effects of heat sensitive materials associated to photovoltaic cells in phase change for generating both energy day and night. Experimental measures have been conducted primarily in laboratory conditions for a greater understanding of hybridization phenomena under real conditions and to test the actual performance of devices made. Results show that the hybrid system can generate more power than the simple PV and TEG in environmental conditions. This hybrid technology will highlight the use of renewable energies in the service of the energy production.