陕南秦巴山区地质灾害发育及空间分布规律

为进一步研究陕南秦巴山区地质灾害发育及空间分布规律,对区内地质灾害的数量、规模、物质组成等进行概率统计分析,结果显示:该区地质灾害以堆积层滑坡为主,岩质崩塌次之;滑坡规模以小型、浅层和等长式为主,崩塌以小型、等长式为主。地质灾害空间点密度呈"四高两低"分布,崩塌呈"三高四低"分布,泥石流呈"三高两低"分布。地质灾害、断裂、河流及道路的空间分布具有分形特征。滑坡(崩塌)面积与体积(长、宽)之间具有幂律相依性,面积与体积符合对数正态分布。结论为陕南秦巴山区移民搬迁安置选址提供技术支持。     

湖南石门雄黄矿区矿样中的砷氧化细菌的分离及鉴定

绿色的生物学方法处理含砷废水,对于缓解工业发展所带来砷污染问题,提高居民健康生活质量具有重要意义。以湖南石门雄黄矿区的尾矿池积水（SY）、地下400 m处的矿坑水（NY）和尾矿池底泥表层（XY）3个样本为研究对象,利用细菌富集和多次传代的方法,从这3个环境样本中获得可氧化三价砷的3个菌群。在砷质量浓度为l~5 g·L-1的培养基中分别检测上述3个菌群的耐受能力,发现在砷质量浓度高达5 g·L-1的条件下,上述菌群均能在2~3 d内达到109 cells·mL-1。利用上述菌群处理l g·L-1亚砷酸钠溶液,SY、XY和NY菌群可分别在25、20和35 h内将三价砷完全氧化,并且使溶液中的总砷质量浓度降低66.7%。进一步对3个菌群进行多次平板分离,利用五价砷和硝酸银的颜色反应,获得11株可氧化三价砷的目的菌株。对这些菌株16S rDNA进行NCBI的BLASTN序列比对发现,菌株SMY24、SMY33、SMY22、SMY32、SMY21和SMY31均属于假单胞菌属（Pseudomonas）,菌株SMY104属于不动杆菌属（Acinetobacter）,菌株SMY17、SMY25、SMY9和SMY1在所有的已知序列中,最大的相似率只有91%,最小的相似率为76%,且都是未曾报道纯培养的细菌。对这些菌株三价砷氧化能力进行测定发现,其中菌株SMY104和SMY21在20 h内能将三价砷几乎完全氧化。通过对这些菌株三价砷氧化酶基因进行初步检测,发现了多个菌株具有三价砷氧化酶基因（AoxB）。     

A fouling suppression system in submerged membrane bioreactors using dielectrophoretic forces

A novel method was developed to suppress membrane fouling in submerged membrane bioreactors. The method is based on the dielectrophoretic (DEP) motion of particles in an inhomogeneous electrical field. Using a real sample of biomass as feed, the fouling-suppression performance using DEP with different electrical field intensities (60–160 V) and different frequencies (50–1000 Hz) was investigated. The fouling-suppression performance was found to relate closely with the intensity and frequency of the electrical field. A stronger electrical field was found to better recover the filtrate flux. This is because of a stronger DEP force acting on the biomass particles close to the membrane's surface. Above an intensity and frequency value of 130 V and 1 kHz, respectively the permeate flux was reduced due to an electrothermal effect.     

Changes in nitrogen budget and potential risk to the environment over 20 years (1990–2010) in the agroecosystems of the Haihe Basin,China

The nitrogen balance can serve as an indicator of the risk to the environment of nitrogen loss from agricultural land. To investigate the temporal and spatial changes in agricultural nitrogen application and its potential threat to the environment of the Haihe Basin in China, we used a database of county-level agricultural statistics to calculate agricultural nitrogen input, output, surplus intensity, and use efficiency. Chemical fertilizer nitrogen input increased by 51.7% from 1990 to 2000 and by 37.2% from 2000 to 2010, concomitant with increasing crop yields. Simultaneously, the nitrogen surplus intensity increased by 53.5% from 1990 to 2000 and by 16.5% from 2000 to 2010, presenting a continuously increased environmental risk. Nitrogen use efficiency decreased from 0.46 in 1990 to 0.42 in 2000 and remained constant at 0.42 in 2010, partly due to fertilizer composition and type improvement. This level indicates that more than half of nitrogen inputs are lost in agroecosystems. Our results suggest that although the improvement in fertilizer composition and types has partially offset the decrease in nitrogen use efficiency, the environmental risk has still increased gradually over the past 20 years, along with the increase in crop yields and nitrogen application. It is important to achieve a better nitrogen balance through more effective management to significantly reduce the environmental risk, decrease nitrogen surplus intensity, and increase nitrogen use efficiency without sacrificing crop yields.     

氧化铁烟气脱硫的反应特性及其机理表征

以磁性氧化铁红作为脱硫剂,在微型固定床反应器上进行氧化铁烟气脱硫试验,研究氧化铁烟气脱硫的反应特性,并对脱硫机理进行表征。结果表明:氧化铁脱硫反应最佳温度范围为400~420℃,硫容可达43.9%~46.1%;进口烟气中SO2的浓度越高,脱硫剂越容易穿透,穿透时间越短,脱硫效果越差;再生温度越高,脱硫剂再生率越高,再生所用的时间越短,再生效果越好;氧化铁脱硫剂再生后,脱硫反应活性下降;脱硫反应前、后和再生反应前、后的脱硫剂XRD图谱均发生变化,氧化铁的脱硫产物为硫酸铁,硫酸铁的高温再生产物为氧化铁。     

Towards a new climate economics:research areas and prospects

International cooperation to address climate change now stands at a crossroads.With a new international regime for emissions reduction established by the Durban Platform, "New Climate Economics(NCE)" has become a research hotspot.The need for urgent action to combat climate change has prompted discussion on reforms of economic growth patterns and the energy system.The industrial civilization,therefore,now faces a transition towards a new pathway for ecological sustainability.NCE explores new economic concepts,theories,and analytical methods to design a balanced pathway for sustainable growth and emission reduction.Instead of getting trapped in discussions on allocation of emission reduction responsibilities and obligations among countries,NCE pays more attention to developing win-win multilateral cooperation mechanisms that facilitate collaborative RD and knowledge sharing.In addition,NCE studies incentives for low-carbon transition,turning carbon emission reduction into a domestic need for countries to increase their international competitiveness.To achieve the 2°C target,most countries around the world face challenges of insufficient emission allowances to cover expected emissions associated with their projected economic growth.As carbon emissions rights becomes an increasingly scarce resource,increasing the carbon productivity of the economy turns to be the critical path to address the dilemma of green or growth.NCE studies the historical evolution of carbon productivity for countries at different development stages as well as ways to enhance such carbon productivity.This type of study provides invaluable lessons for emerging economies to reach their own emission peaks without losing the momentum of growth.Replacing fossil fuels with new and renewable energy has proven to be an inevitable choice for reshaping the energy system and addressing climate change- it has already become a global trend.NCE studies incentives for new energy technology innovation and deployment provided by carbon pricing,and sheds light on the co-benefits of climate change mitigation,such as resource conservation,environmental protection,and energy security.The role of carbon pricing in promoting intemational RD cooperation and technical transfer will also be studied.The shift in consumption patterns is another key factor enabling a low-carbon transformation.Therefore,NCE also explores the theoretical work on new values of wealth,welfare and consumption,new lifestyles in the context of ecological civilization,concepts and implementation of low-carbon urban planning in developing countries,and the impacts of consumption pattern changes on social development,material production,and urban infrastructure construction.     

四川省乐山市近51年极端气温变化研究

基于1962—2012四川省乐山市每日气温资料,运用线性拟合及累积距平、Morlet复数小波等方法对WMO发布的10种极端气温指数进行了计算和分析。结果表明:(1)极端最高气温、极端最低气温都有上升趋势,霜冻、冷夜、冷昼呈下降趋势,夏日、热夜、暖夜、暖昼呈现出波动上升趋势。(2)年极端最高气温、暖夜、暖昼存在着27 a左右的周期,夏日、霜冻、热夜、冷夜、冷昼存在着28 a左右的周期,年极端最低气温存在着11 a左右的周期。除年极端最低气温外,其他的极端气温指数虽然主控周期不一致,但都存在28 a左右的周期。冷昼和暖昼变化较为复杂,存在4个周期。(3)极端天气暖指数呈上升趋势,夏日、热夜、暖夜、暖昼分别增加了15天、21天、32天、29天,极端天气冷指数呈下降趋势,霜冻、冷夜、冷昼分别减少了2天、24天、4天,乐山地区发生极端天气事件的可能性增加。(4)乐山市极端天气现象的发生与日益增加的人类活动以及全球变暖的大趋势密切相关。由于乐山市独特的地理位置,随着乐山市极端天气现象可能性的增加,乐山市发生干旱、洪涝、山地灾害的可能性也随之提高,需要做好预防准备。     

长株潭地区秋冬季环境空气质量分析及与气象参数的关联性研究

以湖南省长株潭3市为研究区域,分析其在2013年第4季度的城市环境空气质量状况,并与上年同期进行对比,同时研究PM_2.5质量浓度和AQI值与气象参数的相关性。结果表明,PM₁₀和PM_2.5是长株潭3市的主要大气污染物;2013年第4季度中,长株潭3市在11月份的空气质量最好;总体上,3市中,湘潭市的空气质量最差,而3市2013年第4季度的环境空气质量较上年同期明显下降,复合污染特征越来越明显。PM_2.5质量浓度和AQI值与气象参数都有一定的相关性,尤其是与能见度显著负相关,与风速、湿度和气压微弱负相关,而与温度微弱正相关。与上年同期相比,长株潭3市在2013年第4季度的气温偏高,湿度较小,平均风速小,气象条件不利于大气污染物扩散。因此,尽管3市的污染治理力度大,减排成效明显,但城市环境空气质量反而较上年同期下降。在大气环境容量基本利用殆尽的情况下,不利气象条件随时可能直接诱发严重的大气污染问题。     

江西钨矿周边土壤重金属生态风险评价:不同评价方法的比较

对江西省大余县某钨矿区周边的农田土壤进行调查分析,并采用不同的方法对土壤进行评价,结果表明,土壤As、Pb、Zn、Cu和Ni的含量范围分别为15.33—154.65 mg·kg-1、156.29—346.98 mg·kg-1、47.73—277.72 mg·kg-1、19.06—210.24 mg·kg-1和12.00—35.11 mg·kg-1,一些土壤样点的As、Pb、Zn和Cu含量已超过国家土壤环境质量二级标准.利用地累积指数法对土壤进行评价,结果表明土壤均受到As、Pb、Zn、Cu和Ni不同程度的污染;根据CPI(综合污染指数)评价标准,65.7%的土壤处于污染状态;利用TCLP法对土壤生态风险进行评价,结果显示所有土壤并未受到重金属的污染,以内梅罗综合污染指数法对土壤进行综合评价,结果表明该农田土壤重金属生态风险处于安全范围;以潜在生态危害指数法评价,发现Pb、As和Cu达到或超过中等生态风险的样点分别占37.14%、25.72%和2.86%,其他重金属污染风险均属轻微以下.不同评价方法得出的评价结果有差异,人们在评价重金属污染土壤时要根据评价的目的慎重选择合适的评价方法.     

基于BERT-BILSTM-CRF模型的电力行业事故文本智能分析*

为解决电力行业事故报告文本较长、语义复杂,难以进行有效文本识别问题,提出1种以BERT作为底层的预训练模型,并设计1种双重注意力机制编码器,结合BILSTM-CRF深度挖掘事故文本语义特征,从而实现文本智能分析。首先构建电力词典,通过对BERT预训练,进行BIO标注,然后引入BILSTM-CRF模型实现对文本标签智能分类,最后将该模型与现行其他4种深度学习模型进行对比。研究结果表明:该模型智能识别精确率、召回率及F1值(查准率)均达到约97%,较其他4种模型中效果最好的模型分别提高0.02,0.03,0.02。研究结果可为电力行业事故报告文本分析提供1种新思路。