硫多金属矿床开采对水环境的影响——以福建大田地区矿产开发为例

闽西大田地区矿床采选冶活动对水土生态环境系统造成了严重的破坏,矿区采选矿废水pH值、SO4^2-浓度远远超过水环境标准,选矿废水和接纳采选矿废水的河流水体中Fe、Mn、Cu、Pb、Zn、Cd的含量大部分超过地面5类水标准,少部分超过4类水标准,矿区采选矿业废水是地表水金属污染的重要源头。矿业废水pH值与金属Fe、Mn、Cu、Pb、Zn、Cd的含量具有明显的负相关关系,SO4^2-浓度与金属离子Fe、Mn、Cu、Pb、Zn、Cd浓度具有较一致的变化规律。提出整治硫多金属矿山环境污染,应坚持因地制宜、矿业资源开发与环境保护并重的方针,用石灰石碱性中和酸性废水,隔离覆盖尾矿矿堆,对废弃矿山植树种草进行生态修复,对效益低下的开采矿山退矿还林,对严重环境污染的矿山实行关闭,对新开矿山要进行科学规划开发。     

浙西石煤产区放射性污染及防治对策

浙江西部山区石煤资源丰富,广泛地被应用于石煤制品的生产和用做部分电厂、山区农村的燃料。石煤中U、Th等放射性核素含量高,致使部分石煤及其制品中U、Th等放射性核素含量偏高。U、Th是Rn的母体元素,衰变后不断释放出氡气,导致石煤产区居室内氡浓度和居民年辐射剂量当量严重超标,危害人体健康。本文在分析该区部分石煤产区、石煤制品、石煤电厂以及居室中的放射性元素污染的基础上,提出了相应的防治措施。     

高放废物处置库选址中低渗透介质地质研究的几个问题

低渗透介质是阻碍有害物质在地下迁移良好的天然屏障, 因此成为高放废物处置库围岩类型的首选。本文通过对高放废物处置库选址中地质研究的回顾, 阐述了低渗透介质地质研究的特点, 对地质参数测定、取样、水流模拟、地球化学模拟进行了重点介绍。     

Evidence of technetium and iodine release from a sodalite-bearing ceramic waste form

Sodalites have been proposed as a possible host of certain radioactive species, specifically ⁹⁹Tc and ¹²⁹I, which may be encapsulated into the cage structure of the mineral. To demonstrate the ability of this framework silicate mineral to encapsulate and immobilize ⁹⁹Tc and ¹²⁹I, single-pass flow-through (SPFT) tests were conducted on a sodalite-bearing multi-phase ceramic waste form produced through a steam reforming process. Two samples made using a steam reformer samples were produced using non-radioactive I and Re (as a surrogate for Tc), while a third sample was produced using actual radioactive tank waste containing Tc and added Re. One of the non-radioactive samples was produced with an engineering-scale steam reformer while the other non-radioactive sample and the radioactive sample were produced using a bench-scale steam reformer. For all three steam reformer products, the similar steady-state dilute-solution release rates for Re, I, and Tc at pH (25 °C) = 9 and 40 °C were measured. However, it was found that the Re, I, and Tc releases were equal or up to 4.5x higher compared to the release rates of the network-forming elements, Na, Al, and Si. The similar releases of Re and Tc in the SPFT test, and the similar time-dependent shapes of the release curves for samples containing I, suggest that Re, Tc, and I partition to the sodalite minerals during the steam reforming process.     

高放废物处置库新疆阿奇山预选地段区域水文地质特征

新疆阿奇山地区是我国高放废物处置库预选地段之一。在野外调查、样品采集和测试的基础上,讨论了该地段区域水文地质特征,结果表明,阿奇山地段地下水可划分为松散岩类孔隙水、碎屑岩类裂隙孔隙水和基岩裂隙水3种类型,其单井涌水量一般10m~3/d,属于典型的低含水介质;区域地下水流向为自南东流向北西;位于吐鲁番盆地的艾丁湖一带为阿奇山地段地下水的最终排泄区。     

Profit,reputation and ‘doing the right thing’: Convention theory and the problem of food waste in the UK retail sector

In 2014, Tesco – one of the world’s largest food retailers – revealed that it had generated almost 57,000 tonnes of food waste in its UK operations over the previous twelve-month period. This shocking statistic added to existing evidence of a significant environmental and social problem in the UK and across the world. This paper utilises convention theory to examine the role of major retailers in the context of this global problem and assesses their motivations for acting on food waste. Drawing on interviews with key stakeholders (including major retailers), the analysis investigates their main justifications for action on food waste. It finds that retailers mostly appealed to three conventions or ‘orders of worth’ (civic, market and opinion) and used these as a basis for their commitment to food waste reduction. We argue that the combination of these different justifications is feasible and necessary in the context of the retail sector but that they may also lead to some unintended consequences (in the retail sector and beyond). Crucially, we demonstrate how the dilution of civic justifications (by their financial and reputational counterparts) might produce negative outcomes and inaction as retailers attempt to adhere to the so-called ‘food waste hierarchy’. The paper highlights the continuing significance of convention theory as a framework for analysing possible responses to the social and environmental challenges confronting global agro-food systems.     

处置单元核素135Cs迁移数值模拟研究

根据高放废物地质处置库概念设计,以北山花岗岩为参考岩性,内蒙古高庙子膨润土为参考缓冲材料,使用数值模拟软件tough2对放射性核素¹³⁵Cs在处置单元及其围岩中的迁移行为进行了数值模拟研究,考虑放射性核素衰变释热对核素迁移的影响。研究表明:膨润土对核素具有较强的滞留作用,模拟200000年后核素在花岗岩中迁移了1 m左右,且峰值为10-6个数量级;前10 a模型的温度变化最剧烈且温差最大,10 a后模型整体温度开始降低,2 000 a后整体温度接近于初始温度;温度的变化会引起核素迁移速率的改变,但总体温度对核素迁移的影响不大。     

花岗岩风化料弃土快速堆填过程中不排水抗剪强度评估

沿海沿江城市地下开挖产生的工程渣土含泥量大、含水率高且较松散,主要运往渣土场进行堆填处置。由于产量巨大而处置场地有限,许多渣土场在运营过程中存在堆填速度快、缺乏排水设施、超高超库容堆填等问题,容易引发堆填体失稳事故。目前对于非饱和工程渣土堆体在快速堆填过程中的失稳机制认识尚不清晰,尤其是对这一过程中的高饱和度工程渣土强度增长规律缺乏足够的认识。以深圳红坳渣土场填料——花岗岩风化料(CDG)填土为研究对象,对不同初始饱和度土样进行三轴不排水不排气等向压缩和剪切试验,结果表明:非饱和CDG填土不排水抗剪强度随围压增大呈非线性增长,增长速率与试样初始饱和度密切相关;当土样压缩后的饱和度超过0.7,不排水强度随围压的增长速率显著降低。基于有效固结应力法的原理,结合Hilf孔压公式和修正剑桥模型,提出了一种工程渣土不排水抗剪强度估算方法,并通过与试验结果对比验证了该方法对初始饱和度高于0.6的CDG填土的适用性。利用该方法确定的不排水强度cu与正应力σn的关系可应用于高饱和度工程渣土快速堆填中的稳定性分析。     

Transforming agricultural land use through marginal gains in the food system

There is an increasing need for transformational changes in the global food system to deliver healthy nutritional outcomes for a growing population while simultaneously ensuring environmental sustainability. However, such changes are subject to political and public constraints that usually allow only gradual, incremental changes to occur. Drawing inspiration from the British cycling team’s concept of marginal gains, we show how transformation might be reconciled with incremental changes. We demonstrate that a set of marginal food system changes acting to increase production efficiency, to reduce losses or to adjust diets could collectively reduce the agricultural land required globally for food production by 21%, or over a third given higher adoption rates. The results show that while all categories of action are important, changes in consumer choices in Europe, North America and Oceania and in the supply-chain in Africa and West and Central Asia have the greatest potential to reduce the land footprint of the food system.     

基于卷积神经网络与条件随机场方法提取乡镇非正规固体废弃物

随着村镇经济建设发展,生活垃圾和工业固体废弃物造成的污染问题日益突出,已经成为制约新农村建设发展和生态文明建设的关键问题,而目前针对乡镇非正规固体废弃物的调查与统计主要依赖全国各乡镇相关部门逐级调查上报,工作量较大。本文基于高分辨率遥感影像,将深度学习模型和条件随机场模型相结合引入到乡镇固体废弃物的提取研究中,探索一种基于深度卷积神经网络的乡镇固体废弃物提取模型。由于固体废弃物在影像上表现为面积小,分布破碎等特点,为了提高工作效率,将模型特分为识别和提取2个部分：① 通过全连接卷积网络（CNN）对固体废弃物进行快速识别判断,筛选感兴趣区域影像块;② 在传统的全卷积神经网络(FCN)的基础上加入条件随机场模型(CRF)提取固体废弃物边界,提高整体分割精度。根据安徽、山西等地区相关部门上报固体废弃物堆放点以及住房与城乡建设部城乡规划管理中心进行野外检查的结果,实验最终识别精度达到86.87%以上;形状提取精度为89.84%,Kappa系数为0.7851,识别与提取精度均优于传统分类方法。同时,该方法已经逐步应用于住房和城乡建设部有关成都、兰州、河北等部分乡镇非正规固体废弃物的核查工作,取得了较为满意的结果。