蒽醌染料中间体溴氨酸降解酶的特性

从污染地分离筛选出的菌株BX26对蒽醌染料中间体溴氨酸有显著的降解脱色作用,降解过程受降解酶的控制,试验结果表明,降解酶为溴氨酸诱导的胞外酶,该酶在温度高于50℃处理后失活,盐度对该酶失活有影响,盐度高于1%会显著降低该酶活力,酶对溴氨酸的催化脱色要有氧参加,氮气气氛中酶活受抑制。     

江西农田鼠害及其防治措施

农田鼠害是江西农业生物灾害中的主要灾种之一,它具有发生面积之、造成损失重、灾情越来越严重的特点,本文在回顾了江西农田鼠发生概况的基础上,简述了农田害鼠的种类、分布、主要特征及其发生发展规律,并从自然因素和人为因素等方面分析了鼠害成灾的主要原因,最后,提出了农田鼠害的防治措施。     

底泥中重金属毒性的室内孔隙水分析技术

根据孔隙水中重金属的浓度可以判定底泥中重金属的毒性但获得真正的底泥孔隙水十分困难。本文提供了一套简便易行的室内原状孔隙水取样技术,将碳化硅砂芯埋入底泥,添加表层水并静置９０ｄ,通过渗滤获得孔隙水,测定孔隙水中重的浓度,所得结果与微生态系统暴露试验中生物指示的重金属的毒性大小相吻合,与生物积累重金属的浓度显著正相关。     

羊角月芽藻摄取磷形态的动力学研究

将湖水中的磷分成总溶解磷,溶解反应磷,总反应磷、溶解的水解性磷,溶解的光解性磷。研究其在羊角月芽过程中的变化。     

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i.e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p?<?0.01). Furthermore, the interactions of NDVI values of vegetation with the climatic indicators at monthly interval were analyzed. The NDVI of vegetation and three climatic indices had strong positive correlations (larger than 0.733, p?<?0.01). The monthly correlations also provided the threshold values for the three climatic indictors, to be used for simulating vegetation growth grassland under different climate features, which is essential for the assessment of the vegetation growth and for regional environmental management.     

Sedimentary record of polycyclic aromatic hydrocarbons in a sediment core from a maar lake, Northeast China: evidence in historical atmospheric deposition

A maar lake is an excellent ecosystem to study the atmospheric deposition of pollutants, as its contaminants are primarily by atmospheric deposition. In this study, a sediment core from Sihailongwan Maar Lake, Northeast China, was collected and the historical atmospherically deposited polycyclic aromatic hydrocarbons (PAHs) were analyzed. The concentrations of TPAHs (the sum of the US EPA proposed 16 priority PAHs, excluding naphthalene and pyrene) ranged from 473.9 to 2289 ng g(-1) with a slow increasing stage in the deeper sediments and a sharp increasing stage in the upper sediments. The input rate of TPAHs, especially that of PAH(9) (the sum of fluoranthene, benzo(a)anthracene, chrysene, benzo(b)fluoranthene, benzo(k)fluoranthene, benzo(a)pyrene, indeno(1,2,3-cd)pyrene, dibenzo(ah)anthrathene, and benzo(ghi)perylene), correlated well to the Chinese historical socioeconomic data. This indicates that sediment PAHs were mainly derived from human activities and PAH(9) can be regarded as a better indicator of the local socioeconomic development. Source identification suggested that PAHs were originated primarily from mixed sources (e.g., coal and biomass burning and petroleum combustion), except for perylene which was mostly of diagenetic origin. In addition, the down-core PAHs profile clearly illustrated that PAHs sources in Northeast China experienced a transformation from low- and moderate temperature to high-temperature combustion processes, especially after the late 1980s. Additionally, an ecological risk assessment using two redefined biological thresholds (TEQ(ERL) and TEQ(ERM)) indicated that most of the PAHs measured in the present sediment core would not cause an immediate toxic effect; only FLU and PHEN are a potential source of concern for biological impairment.     

并联式双梯度反相离子对液相色谱法快速检测土壤中芳磺酸

通过阀切换并联式双系统,建立了一套测定土壤样品中7种芳磺酸的反相离子对液相色谱法。该方法采用2根色谱柱,一根色谱柱分析的同时,另一根色谱柱通过阀切换实现平衡,节约了38.5%的分析时间。方法使用Dikma Diamonsil C18(150 mm×4.6 mm×5μm)色谱柱,以离子对试剂(四丁基硫酸氢铵)和乙腈为流动相,检测波长为226、235、258 nm。各组分线性关系良好,线性相关系数均在0.999 9以上。随机抽取样品进行重新提取、检测,得到各组分的相对标准偏差均小于7%,且定量限最高不超过0.181 2μg/g,重复性和定量限均能满足实验要求。     

便携式分光光度计法快速测定水中砷方法研究

通过研究各仪器性能指标以及测定实际水质样品,对3种便携式分光光度计快速测定水中砷的方法进行了优化和比对研究。结果表明,ZZW-Ⅱ测试仪快速测定水中砷的方法检出限(0.2 mg/L)高于JH 916检测仪和PORS-15 V光谱仪的方法检出限(0.008和0.009 mg/L),在突发性环境污染事故应急监测中,JH 916检测仪和PORS-15 V光谱仪具有相对较高的灵敏度。ZZW-Ⅱ测试仪和JH 916检测仪快速测定水中砷的方法精密度相近,其测定结果相对标准偏差均未超过5.7%(n=6),PORS-15 V光谱仪快速测定水中砷的方法精密度稍差,其相对标准偏差最大值为17%。测定实际样品时,加标回收率分别为110%~126%(ZZW-Ⅱ测试仪),63%~108%(PORS-15 V光谱仪),78%~101%(JH 916检测仪)。3种便携式分光光度计与实验室分析方法相比,测定结果精密度均存在显著性差异,测定结果相对偏差亦较大,相对偏差最大值分别为-19.0%(ZZW-Ⅱ测试仪),17.0%(PORS-15 V光谱仪),-15.0%(JH 916检测仪)。     

大数据解析技术在大气环境监测中的应用研究

针对近年来新兴的大数据及挖掘、分析技术,对大数据解析技术在环境科学研究中的应用进行了分析和探析。以城市局部地区大气细颗粒污染物PM2.5浓度计算为例,筛选了PM2.5浓度历史数据、气象条件、交通状况、人群活动情况、网格道路状况等数据为影响特征量,分析了用神经网络法进行大数据解析和推演的原理和数学过程,是用数学、计算机、统计等方法研究解决多元、非线性复杂环境问题的一种新的探索。     

全二维气相色谱-飞行时间质谱法分离复杂体系中7种指示剂 多氯联苯

采用全二维气相色谱-飞行时间质谱法(GC×GC TOF-MS)分析了混标样品Aroclor 1260、Aroclor 1254、Aroclor 1242中的多氯联苯(PCBs)单体,考察了在复杂体系下对7种PCBs指示剂的分离能力。结果表明,与优化柱系统的分离效果相比,136种单体的混标样品中共分离出121种单体,7种指示剂经一维和二维的保留时间及质谱定性,在121种单体的2D斑点图中清晰可辨。全二维对于复杂体系的PCBs和指示剂的分离表明其强大的分离能力和对于检测复杂体系中指示剂的分辨能力,对该类物质的定性和定量检测具有重要意义。