硅肥等量施用对土壤镉生物有效性和水稻吸收镉的影响

为研究硅（Si）肥等量施用对水稻不同生育期吸收镉（Cd）和土壤Cd生物有效性的影响,采用5种不同种类的Si肥（SiO₂用量为225 kg ·hm^-2）开展田间小区试验.结果表明,随着水稻生育期的延长,水稻根系和茎叶的Cd含量增加;施用Si肥,不同生育期水稻根系、茎叶和籽粒Cd含量平均分别降低14.9%、28.2%和12.2%;硅钙镁铁肥（SiCaMgFe）和水溶Si肥（SiW）处理,籽粒Cd含量分别比对照处理降低21.1%（P<0.05）和21.2%（P<0.05）;水稻根表铁膜中Cd含量（DCB-Cd）随着水稻生育期延长而增加,施用Si肥,水稻不同生育期DCB-Cd含量有高有低,DCB-Cd是根系Cd含量的15.8%~42.8%;与对照相比,施用Si肥水稻成熟期土壤可交换态Cd （Exc-Cd）含量平均降低36.4%,其它形态的含量平均增加12.5%~48.2%.水稻全生育期根系Cd与Si呈极显著负相关,与DCB-Cd呈极显著正相关,DCB-Cd与土壤有效态Cd和有效态Si呈极显著负相关,土壤Exc-Cd与Carb-Cd呈极显著负相关,土壤有效态Cd与pH值呈显著负相关.施用相同Si肥用量,SiCaMgFe和SiW处理降低水稻Cd含量的效果好;施用Si肥通过提高土壤pH值和土壤有效Si含量、降低土壤有效态Cd和Exc-Cd含量,促进Exc-Cd向Carb-Cd转移,减少根表铁膜对Cd的吸附,从而减少水稻对土壤Cd的吸收.     

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

• A spectral machine learning approach is proposed for predicting mixed antibiotic. • Pretreatment is far simpler than traditional detection methods. • Performance of the model is compared in different influencing factors. • Spectral machine learning is promising in the detection of complex substances. Antibiotics are widely used in medicine and animal husbandry. However, due to the resistance of antibiotics to degradation, large amounts of antibiotics enter the environment, posing a potential risk to the ecosystem and public health. Therefore, the detection of antibiotics in the environment is necessary. Nevertheless, conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation, which impose considerable time and economic costs. In this paper, we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning. With the help of a modified spectrometer, a large number of characteristic images were generated to map antibiotic information. The relationship between characteristic images and antibiotic concentrations was established by machine learning model. The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model. The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment. The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies.     

白银矿区土壤重金属及可培养细菌重金属耐受性研究

对白银矿区土壤重金属进行分析研究,分离、筛选和鉴定了受污染土壤中的可培养细菌,并考察其对土壤中重金属胁迫的耐受性。结果表明：白银矿区王岘镇尾渣堆和东大沟河沟土壤重金属污染Pb＞Zn＞Cu;从污染最严重的土壤中分离、筛选出砖红色微杆菌（Microbacterium testaceum）、特基拉芽孢杆菌（Bacillus tequilensis）和解单端孢菌素微杆菌（Microbacterium trichothecenolyticum）3种细菌,其中菌株M1（Microbacterium testaceum）对Pb、Zn、Cu、Cd的胁迫具有明显的耐受性。     

北京市某废弃焦化厂不同车间土壤中多环芳烃（PAHs）的分布特征及风险评价

以北京市某废弃焦化厂为研究对象,系统采集了6个车间0～4m深的26个土壤样本,利用GC/MS检测了U.S.EPA优控的16种多环芳烃(PAHs)的含量,分析了PAHs在焦化厂不同车间表层土壤的污染状况和深层土壤中的垂直分布特征并对土壤污染风险进行了评估.结果表明,1)该废弃焦化厂不同车间表层土壤(0～20cm)总PAHs(∑PAHs)的残留量介于672.8～144814.3ng·g-1之间;污染程度排序为:回收车间>老粗苯车间>焦油车间>炼焦车间>水处理车间>制气车间.2)该厂未受扰动的土壤样品显示PAHs主要聚集在表层土壤,并随着土壤深度的增加而迅速减少;其他样点由于土壤扰动,∑PAHs含量最大值出现在第三层土壤(80～180cm);该厂4m深底层土壤仍有高浓度PAHs,∑PAHs含量最高值出现在炼焦车间,达12953.1ng·g-1.3)焦化厂土壤PAHs污染主要集中在3环和4环的PAHs单体上,分别占到污染总量的51.3%和31.7%.4)根据Maliszewska-Kordybach的PAHs总量标准及加拿大土壤PAHs单体治理标准,该厂回收、老粗苯、焦油和炼焦车间表层和深层土壤PAHs含量均达到重污染水平,并对其周围土地带来较大风险,需要治理.     

Retrospective Estimation of Radiation Load and Its Effect on Some Biological Parameters of Reindeer (Rangifer tarandus) from Wrangel Island

The results of the electron paramagnetic resonance (EPR) analysis of pure tooth enamel and the data on the radionuclide content in bones were used for estimating the radiation load on reindeer that lived on Wrangel Island in the 1970s and early 1980s. Based on the measurements of the lower jaws, some biological parameters of the Wrangel reindeer population were estimated and compared with those in the Novaya Zemlya and Taimyr populations. Changes in only two of these parameters—the degree of root cementum resorption and animal life span–might be attributed to the effect of the radiation load.     

4种重金属污染对稻田土反硝化细菌的影响

在实验室条件下,研究Cd²⁺、As⁵⁺、Cu²⁺和Pb²⁺处理黄松稻田土、紫色稻田土和红壤稻田土后,4周内重金属污染对反硝化细菌种群数量及其反硝化活性的影响.结果表明,在1kg干土中加入0.5mg Cd²⁺、30mg As⁵⁺、50mg Cu²⁺和200mg Pb²⁺时,对稻田土反硝化细菌种群数量及其活性有促进作用,加入Cd²⁺、As⁵⁺、Cu²⁺和Pb²⁺分别超过1.0,60,500,400mg/kg干土时,对稻田土反硝化细菌种群数量及其活性有明显抑制作用.但反硝化细菌种群数量及其活性能逐渐恢复并接近对照水平,重金属污染越重,恢复所需的时间也越长.同一种重金属元素对不同水稻田土的反硝化细菌种群数量及其活性的影响也有差异.     

Application of arsenic baselines in the assessment of soil contamination in Finland

In Finland, a new Government Decree on the Assessment of Soil Contamination and Remediation Needs (214/2007) came into force on 1 June 2007. According to the Decree, natural baseline concentration levels should be taken into account when assessing potential soil contamination and the need for remediation. This applies particularly in the case of toxic metallic elements, since baseline concentrations may naturally be rather high. The new decree prescribes soil screening values for 52 substances or groups of substances. The natural baseline concentrations have been taken into account in the definition of the screening values for inorganic pollutants. The Geological Survey of Finland (GTK) carried out a nation-wide geochemical mapping of till on a reconnaissance scale in 1983 and on a regional scale during 1984–1992. These surveys have provided information on natural elemental distribution in subsoils of the glacial till. However, some important trace elements in regional mapping such as arsenic are missing from the analysis, and subsoil samples do not reflect the diffuse anthropogenic input. Thus, GTK has continued the survey work by determining geochemical baselines around suburban areas. Samples have been taken from humus, topsoil and subsoil layers, and the soil parent material has covered sandy soils, glacial tills and fine-grained sediments. According to the studies, a regional difference in the levels of arsenic and some other trace elements can be clearly seen, especially in minerogenic soils. The results illustrate the importance of information on regional baseline concentrations while assessing potential soil contamination.     

文丘里洗涤过滤型FCVS性能评价述评及建议

通过调研对国内外文丘里洗涤过滤型FCVS性能评价进展进行了阐述与比较,指出国内开展文丘里洗涤过滤型FCVS出厂性能评价不全面,需进一步开展相关性能评价技术研究;FCVS在现场的安装质量如何,随着时间的推移性能变化如何,并未开展试验验证,结合法规要求等,建议开展FCVS现场试验评价技术的研究.     

同位素示踪技术在沉积物重金属污染溯源中的应用

沉积物重金属污染及其防治愈来愈受重视,查明污染源是有效治理污染的前提。文章概述了近年来国内外铅、锶等同位素、放射性核素示踪技术在沉积物重金属污染溯源研究中的应用,针对以往研究工作的不足和存在的问题,指出了今后沉积物中重金属污染源解析研究中的重点:采用Pb、Sr、Zn等同位素示踪法,结合多元统计及其它元素地球化学信息追踪重金属污染源和评价污染程度。     

主成分分析法在三江交汇处水质分析中的应用

本文应用主成分分析法,利用三江交汇处的三个断面从1984年到1998年的监测资料对交汇处的水质做分析,分析前先对量化数据标准化处理,处理后提取主成分,并且计算其贡献率和累计贡献率,再由相应的特征向量得到主成分的线性表达式。结果表明：五项影响因素中,三个断面桔水期均受亚硝酸盐氮的影响比较大,丰水期和平水期均受悬浮物和化学需氧量的影响比较大。交汇前,小南门断面的水质综合污染最严重,凉姜沟断面的水质综合污染最轻;交汇后,三江口断面的水质在两者的缓冲下,水质综合污染居中。则说明主成分分析法为河流的综合治理提供了科学依据。