Effects of H19/SAHH/DNMT1 on the oxidative DNA damage related to benzo[a]pyrene exposure

Environmental Science and Pollution Research - The mechanisms that long noncoding RNA (lncRNA) H19 binding to S-adenosylhomocysteine hydrolase (SAHH) interacted with DNA methyltransferase 1 (DNMT1)...     

Application of an integrated biomarker response index to assess ground water contamination in the vicinity of a rare earth mine tailings site

We utilized a multi-biomarker approach (Integrated Biomarker Response version 2, IBRv2) to investigate the scope and dispersion of groundwater contamination surrounding a rare earth mine tailings impoundment. Parameters of SD rat included in our IBRv2 analyses were glutathione levels, superoxide dismutase, catalase, and glutathione peroxidase activities, total anti-oxidative capacity, chromosome aberration, and micronucleus formation. The concentration of 20 pollutants including Cl^?, SO₄ ^2?, Na⁺, K⁺, Mg²⁺, Ca²⁺, TH, COD_Mn, As, Se, TDS, Be, Mn, Co, Ni, Cu, Zn, Mo, Cd, and Pb in the groundwater were also analyzed. The results of this study indicated that groundwater polluted by tailings impoundment leakage exhibited significant ecotoxicological effects. The selected biomarkers responded sensitively to groundwater pollution. Analyses showed a significant relationship between IBRv2 values and the Nemerow composite index. IBRv2 could serve as a sensitive ecotoxicological diagnosis method for assessing groundwater contamination in the vicinity of rare earth mine tailings. According to the trend of IBRv2 value and Nemerow composite index, the maximum diffusion distance of groundwater pollutants from rare earth mine tailings was approximately 5.7 km.

     

基于GPS的川青地块周边活断层上大震序列分析

选择川青地块及周边3条主要活动断层——鲜水河断裂带、龙门山断裂带和东昆仑断裂带为研究对象,以构造应力场资料及GPS监测数据作为地表约束参考,结合地质资料及历史地震资料,基于与状态相关的摩擦本构关系,模拟了研究区域内最近的4次强震——昆仑山口地震、汶川地震、玉树地震及芦山地震发生前后断层——地块体系的力学和运动状态。结果表明,应力、应变、位移状态与地震发生存在一定的联系,初步推断研究区域内未来可能发生强震的地段为鲜水河断裂带的甘孜——道孚段、龙门山断裂带的西南段和东北段。     

Protection versus culture-driven exploitation of wild plant resources: the case on Changbai Mountain

Under Chinese culture it is believed that herbal medicine is always safe and wild food is always healthy. Generally, the rarer a plant, the higher its value. The booming economy in China has promoted tourism development in wilderness areas and wild medicinal and food plants are part of the attraction to tourists. Conflicts between wild plant exploitation and protection have emerged in many parts of China, such as Changbai Mountain. Changbai Mountain supports numerous medicinal and food plants but many have become rare and endangered. This paper numerically evaluates 30 plant species that have relatively high conservation value for each type (medicinal, ornamental and food), and briefly describes the uses of four to five top ranked species per type that need more protection on Changbai Mountain. This paper also addresses some tree species with important timber values on Changbai Mountain. Over 90% of China's medicinal, ornamental and food plant species, as well as valuable timber trees are found in the conifer–broadleaf mixed forest zone across the boundary of Changbai Mountain Nature Reserve. It is a major challenge to protect the native biodiversity of mixed forest on Changbai Mountain and more efforts need to be made to protect rare and endangered plant species with high economic value.     

表面活性剂在环境中的生物降解

简述表面活性剂对环境的影响,讨论了表面活性剂生物降解性的测试方法、降解过程动力学及其影响因素,并对各类表面活性剂结构与降解能力之间的关系作了评价。     

水中微量偏二甲基肼检测方法的研究和应用

偏二甲基肌是川作火箭推进剂燃料，有较大的毒性，也是环境污染物。它的水中最大允许浓度为０．０６ｍｇ／Ｌ。本研究建立了一种水中微量偏二甲基肼的检测方法，采用钼酸铵作为试剂的比色测定法，方法简便、准确、灵敏度高，可川于现场检测。本文还报道了应用本法测定了水中微量肼和甲基肼的稳定性的结果。     

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste. ● Feature selection methods were used to improve models’ prediction accuracy. ● The best model predicted C, H, and N contents with accuracy R ² ≥ 0.93, 0.87, 0.97. ● Some suitable models showed insensitivity to spectral noise. ● Under moisture interference, the models still had good prediction performance. Elemental composition is a key parameter in solid waste treatment and disposal. This study has proposed a method based on infrared spectroscopy and machine learning algorithms that can rapidly predict the elemental composition (C, H, N, S) of solid waste. Both noise and moisture spectral interference that may occur in practical application are investigated. By comparing two feature selection methods and five machine learning algorithms, the most suitable models are selected. Moreover, the impacts of noise and moisture on the models are discussed, with paper, plastic, textiles, wood, and leather as examples of recyclable waste components. The results show that the combination of the feature selection and K-nearest neighbor (KNN) approaches exhibits the best prediction performance and generalization ability. Particularly, the coefficient of determination (R²) of the validation set, cross validation and test set are higher than 0.93, 0.89, and 0.97 for predicting the C, H, and N contents, respectively. Further, KNN is less sensitive to noise. Under moisture interference, the combination of feature selection and support vector regression or partial least-squares regression shows satisfactory results. Therefore, the elemental compositions of solid waste are quickly and accurately predicted under noise and moisture disturbances using infrared spectroscopy and machine learning algorithms.     

耕作方式对土壤微生物和土壤肥力的影响

通过2年田间定位试验,对比研究了免耕+秸秆覆盖、旋耕+秸秆覆盖和传统耕作:三种耕作方式对土壤温度、土壤呼吸速率、土壤微生物数量和土壤肥力状况的影响.结果表明:秸秆覆盖对地温的影响存在"双重效应";土壤温度、土壤呼吸速率和土壤微生物量碳三者之间存在凸面关系;秸秆还田后耕作措施对土壤0～10和10～20 cm的微生物数量的影响不同,但均能增加土壤微生物量;土壤微生物能够加快秸秆中的有机碳向土壤有机质的转化速率;土壤微生物量碳可以作为反映土壤生产力状况的重要生物学指标之一.     

西部大开发：城镇化建设与农田资源保护协调发展问题

城镇作为现代经济生活的主载体,对经济发展的作用巨大,然而城镇的建设与发展又是要占用大量农田资源。我国地少人多,土地资源稀缺,现行可耕地主要集中于中、西部地区,因此西部大开发,妥善处理城镇化建设与农田资源保护协调发展关系就显得尤为重要。本文在论述城镇化建设与农田资源保护的矛盾现状基础之上,试图提出西部地区城镇化建设中相应的农田资源保护对策。     

处理湖水的垂直流湿地中陶粒的磷吸附特性

研究了净化城市湖泊(宜兴团汣)湖水的3个下行垂直潜流人工湿地(运行1年)中的不同深度层的陶粒对磷的吸附特性。结果表明,当标准液KH2PO4-P为5 mg/L和10 mg/L时,上层陶粒的磷吸附能力强弱依次是1#美人蕉湿地(2.98和4.63 mg/kg)﹥2#曝气湿地(1.78和3.71 mg/kg)﹥3#无植物湿地(1.56和3.42 mg/kg);下层陶粒的磷吸附能力从强到弱排序依次是:1#美人蕉湿地(3.51和5.43 mg/kg),3#无植物湿地(3.01和4.39 mg/kg),2#曝气湿地(2.44和4.14mg/kg)。综合对比,1#美人蕉湿地中陶粒具有更强的磷吸附能力,1#湿地中陶粒的磷吸附能力比后两者分别高出23.69%和31.16%。同一湿地的下层陶粒比上层陶粒有更强的磷吸附能力,当标准液中磷浓度为10 mg/L时,1#、2#和3#下层陶粒磷吸附量分别为上层陶粒的1.17倍、1.12倍和1.28倍。