对"有毒重金属"实施2种总量控制监管方式的利害分析

首先,必须明确认定：对第一类污染物实施《源头总量控制》是污控执法和促进经济结构改革的保证条件.这种监管方式自2008年《第一次全国污染源普查工业污染源产排污系数手册》公布以来,更具有其切实实施的可行性.《源头总量控制》与《水环境总量控制》两种监管方式既是各自独立、缺一不可,又是相互依赖和相互补充的关系,目前一些地方的规划管理者模糊和混淆了两类污染物和两种监管的内容和方式,笼统以《水环境总量控制》来监管所有污染物,丢弃了《源头总量控制》,使本应严加管理的饮用水水源地丧失了控制第一类污染物的能力.我国《地面水环境质量标准》（GB 3838-88）中第一类污染物的水质指标与我国实际的水环境背景值有很大差距,存在着＂放宽允排量＂和＂价态转化引发危害＂的问题;以一个10 t电解铅的企业为例,证明两种监管方式的铅允排量相差甚大.总之,把第一类污染物与第二类污染物统一实施《水环境容量总量控制》将带来众多的危害,应当严格实施《源头总量控制》与《水环境总量控制》相结合的监管方式.     

城市生活垃圾集运设备研究

对城市生活垃圾的集运方式进行了研究与分析。介绍了所研究开发的链条型地平式垃圾中转站和采用楔型压头结构的压缩式垃圾中转站的关键技术     

硫酸盐还原过程中乙酸型代谢方式的形成及其稳定性

通过产酸脱硫反应器处理高浓度硫酸盐废水的连续流试验,考察了不同试验阶段硫酸盐去除率和产气量稳定期,液相末端产物中挥发酸组成的变化、乙酸的分布特征、微生物种群组成和种群间关系.试验结果表明,各试验阶段液相末端产物中乙酸的分布比例高达50%～82%,微生物群体呈现特定的乙酸型代谢方式.乙酸型代谢方式本质上是产酸相反应器处理硫酸盐废水过程中,硫酸盐还原菌(SRB)与产酸菌(AB)建立起生物链式协同代谢关系,并通过非完全氧化型方式分解有机物,从而在末端产物中积累大量乙酸.乙酸型代谢方式的形成取决于利用乙酸的硫酸盐还原菌(ASRB)的竞争能力和它对乙酸的利用能力.乙酸型代谢方式可以为后续产甲烷相反应器提供适宜的底物,对提高硫酸盐废水处理系统的效率和运行稳定性具有重要意义.     

智能型防碰天车装置的安全可靠性分析

针对目前油田钻井现场使用的智能型防碰天车装置存在一些安全问题，分析了问题的实质是设计测量精度和安全可靠性不高。提出了具体改进设计的方案与意见。     

城市路面积尘微塑料污染特征

微塑料作为一种新兴污染物,由于其对生态系统具有潜在的负面影响,受到了广泛的关注.但是目前关于其在陆地环境中,尤其是路面积尘中的相关信息相对有限.本文对马鞍山市雨山区路面积尘的微塑料污染特征进行了研究.研究区域内单位面积路面所积累的微塑料丰度为(18.11±32.36)n·m-2,含量为(27.29±72.64)mg·m...     

西藏自治区措勤县日阿布洗铜多金属矿床地质特征及成因类型

西藏自治区日阿布洗铜多金属矿位于冈底斯山脉北缘斑岩型铜矿成矿带,含矿斑岩体为晚喜山期花岗斑岩,具全岩矿化特征,斑岩体与构造蚀变岩带形成矿床。研究表明,地表和浅部出露含矿斑岩体只是岩枝,矿区剥蚀程度低,主斑岩体尚未出露,深部找矿潜力巨大。经深部钻孔工程及地表槽探验证,矿体品位和厚度沿走向和倾向变化系数较小,伴生组份较多,并对其资源量进行了初步估算。喜山晚期第一阶段花岗斑岩侵入体是主要成矿物质来源,矿床成因类型应为斑岩型铜矿床。     

Numerical model of flow and pollutant transportation in non-orthogonal curvilinear coordinates

The planar 2D k-ε double equations‘ turbulence model was adopted and transformed into non-orthogonal curvilinear coordinates. The concentration convection-diffusion was introduced to planar 2D SIMPLEC algorithm of flow in non-orthogonal curvilinear coordinates. The numerical model of pollutant transportation in non-orthogonal curvilinear coordinates was constructed. The model was applied to simulate the flow and pollutant concentration fields. In the testing concentration field, two optimal operations of contamination discharging both along bank and in the centerline at the first bend of the meandering channel were adopted. Comparison with available data showed the model developed was successful, was valuable to engineering application.     

海洋工程用新型牺牲阳极设计与性能研究(Ⅳ)——导管架平台阴极保护应用研究

目的通过构型优化设计了一种新型牺牲阳极,使其在与常规阳极质量相当的前提下,增加初期发生电流,使被保护体较快极化到保护电位,后期发生电流降低,满足平均和末期保护电流需要,达到节约牺牲阳极用量的目的。方法在传统梯形阳极两侧增加两个翼翅,降低接水电阻,增加初期发生电流。翼翅优于本体快速溶解,其表面积迅速减小,发生电流随之降低。结果质量与常规阳极相近的新型阳极,初期发生电流增加30%以上,远高于设计值10%,初期极化完成后,新型阳极发生电流快速降低,达到与常规阳极相当的发生电流。结论据此试验结果对导管架平台水下结构进行阴极保护设计,可达到节约牺牲阳极用量的目的。     

Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided DL and DA approach to make 7-day probabilistic forecasts of daily maximum water temperature in the Delaware River Basin in support of water management decisions. Our modeling system produced forecasts of daily maximum water temperature with an average root mean squared error (RMSE) from 1.1 to 1.4°C for 1-day-ahead and 1.4 to 1.9°C for 7-day-ahead forecasts across all sites. The DA algorithm marginally improved forecast performance when compared with forecasts produced using the process-guided DL model alone (0%–14% lower RMSE with the DA algorithm). Across all sites and lead times, 65%–82% of observations were within 90% forecast confidence intervals, which allowed managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of DL models shows promise for forecasting other important environmental variables and aid in decision-making.     

Integrating channel design and assessment methods based on sediment transport capacity in gravel bed streams

Natural channel design (NCD) and analytical channel design (ACD) are two competing approaches to stable channel design that share fundamental similarities in accounting for sediment transport processes with designs based on hybrid fluvial geomorphology and hydraulic engineering methods. In this paper, we highlight the linkage between ACD's capacity/supply ratio (CSR) and NCD's sediment capacity models (FLOWSED/POWERSED), illustrating how ACD and NCD have reached a point of convergent evolution within the stream restoration toolbox. We modified an existing CSR analytical spreadsheet tool which enabled us to predict relative channel stability using both conventional bed load transport equations and regional sediment regression curves. The stable channel design solutions based on measured data most closely matched the Parker (ACD) and/or Pagosa good/fair (NCD) relationships, which also showed the greatest CSR sensitivity in response to channel alterations. We found that CSR differences among the transport relationships became more extreme the further the design width deviated from the supply reach, suggesting that a stable upstream supply reach may serve as the best design analog. With this paper, we take a step toward resolving lingering controversy in the field of stream restoration, advancing the science and practice by reconciling key differences between ACD and NCD in the context of reach scale morphodynamics.