Recycling Irrigation Reservoir Stratification and Implications for Crop Health and Production

Recycling irrigation reservoirs (RIRs) are an emerging aquatic ecosystem and water resource of global significance. This study investigated the vertical distribution of water temperature, dissolved oxygen (DO), and pH in eight RIRs at two nurseries each in Virginia and Maryland from 2011 to 2014. Monomictic thermal stratification was observed from April to October in all RIRs, despite their shallow depths (0.75‐3.89 m). The strongest stratification had a top‐bottom temperature difference of 21.53°C. The top‐bottom temperature difference was positively correlated with water column depth, air temperature, and daily light integral (p < 0.05). Wind speed did not impact the thermal stratification, likely due to their relatively small surface areas. Thermal stratification affected the vertical distribution of DO and pH. The top‐bottom differences in DO and pH were greater during stratification periods than nonstratification periods. Water pH in all RIRs was higher at the top than at the bottom with the greatest difference of 4.16 units. Discovery and characterization of thermal stratification in RIRs helps understand water quality dynamics in this novel ecosystem and promote safe and productive water reuse for irrigation. Specifically, water withdrawal depths should be adjusted according to variations in temperature, DO, and pH during the stratification and nonstratification periods to mitigate pathogen risk and improve water treatment efficacy and crop production.     

中国金属矿产的消费强度与回收潜力分析

从中国金属资源安全的角度来看,优化战略性金属矿产的供应结构,降低一次矿产的对外依存度,通过合理的政策导向有效地增加中国城市矿产开发效率,挖掘废旧金属的回收和利用潜力,是实现矿产资源安全保障的重要前提。本文以铁、铜、铝等三种金属矿产为例,采用美国、英国、法国、德国、日本等五个工业化国家及中国1949—2015年的面板数据,通过构建消费强度、回收密度和寿命分布函数分析了工业化五国金属消费和报废金属回收的历史规律,预测了2016—2030年中国三种金属消费和报废回收的变化趋势。结果显示:(1)五个工业化国家铁、铜、铝金属的消费强度经历了快速上升、平台缓降和较快下降的过程,而回收密度则经历了缓慢上升、较快增长和快速增长的三个阶段,在消费强度与回收密度的第三阶段呈现"脱钩"特征;(2)中国铁、铜、铝三种金属的消费强度大幅增加主要是集中在2000年以后,2015年我国铁、铜、铝的消费强度分别为540 kg/人、8 kg/人和23 kg/人,回收密度分别只有100kg/人、0.5 kg/人和3 kg/人,除铁、铝的消费强度进入平台下降期外,铜消费强度和三种金属回收密度仍处于增长的第一阶段;(3)预计2030年,中国铁、铜、铝的消费强度将分别为450 kg/人、9 kg/人和20 kg/人,仍处在平台缓慢下降阶段,回收密度将分别增加到220kg/人、3 kg/人和5 kg/人,回收密度与消费强度比例分别达到49%、33%和25%。通过对比可知,中国未来社会报废金属回收潜力巨大,如果能加以有效政策引导,加快回收利用,可大大缓解中国战略性金属的安全保障压力。     

Improving Predictive Models of In‐Stream Phosphorus Concentration Based on Nationally‐Available Spatial Data Coverages

Spatial data are playing an increasingly important role in watershed science and management. Large investments have been made by government agencies to provide nationally‐available spatial databases; however, their relevance and suitability for local watershed applications is largely unscrutinized. We investigated how goodness of fit and predictive accuracy of total phosphorus (TP) concentration models developed from nationally‐available spatial data could be improved by including local watershed‐specific data in the East Fork of the Little Miami River, Ohio, a 1,290 km² watershed. We also determined whether a spatial stream network (SSN) modeling approach improved on multiple linear regression (nonspatial) models. Goodness of fit and predictive accuracy were highest for the SSN model that included local covariates, and lowest for the nonspatial model developed from national data. Septic systems and point source TP loads were significant covariates in the local models. These local data not only improved the models but enabled a more explicit interpretation of the processes affecting TP concentrations than more generic national covariates. The results suggest SSN modeling greatly improves prediction and should be applied when using national covariates. Including local covariates further increases the accuracy of TP predictions throughout the studied watershed; such variables should be included in future national databases, particularly the locations of septic systems.     

The costs and benefits of packaging waste management systems in Europe: the perspective of local authorities

Local authorities are generally in charge of household packaging waste management operations, particularly in countries with Green Dot schemes or similar extended producer responsibility systems. This leads to the need of establishing a system of financial transfers between the packaging industry and the local authorities (regarding the costs involved in selective collection and sorting). In the present study, the costs and benefits of recycling, from the perspective of local authorities, are compared for Portugal, Belgium and Italy (in Lombardia region), adopting the same economic–financial methodology. The results show that the industry is not paying the net cost of packaging waste management. If the savings attained by diverting packaging waste from other treatment operations are not considered, it seems that the industry should increase the financial support to local authorities. However, if the avoided costs with other treatments are considered as a benefit for local authorities, the costs are generally outweighed by the benefits, and the financial support could, therefore, be reduced.     

Reliability and availability modeling of Subsea Xmas tree system using Dynamic Bayesian network with different maintenance methods

Subsea Xmas tree is a vital equipment for offshore oil and gas development. Aiming at the fault mode of subsea Christmas tree system under production conditions, the fault tree of subsea tree system was established, which was transformed into Dynamic Bayesian network, and the reliability and availability of subsea tree system with different repair states are quantitatively analyzed. In this paper, the DBNs are partially verified by the method based on three axes. The results show that the reliability of subsea vertical tree system is slightly higher than that of subsea horizontal tree system. After repair and maintenance, the performance of subsea tree system has been significantly improved, and the improvement of the system performance by preventive maintenance is more obvious. Compared with the perfect repair, the performance of the system with imperfect repair is not significantly reduced. Compared with perfect repair & preventive maintenance, the performance of the system with imperfect repair & preventive maintenance is slightly reduced. In addition, the influence of failure rates and degradation probability on reliability and availability is analyzed. By comparing the influence of failure rates on the system performance of non-maintenance and maintenance, it is found that the change of failure rates has the greatest influence on the reliability and the least influence on the availability of perfect repair & preventive maintenance. By comparing the performance of each component in the subsea tree system, it is found that the failure rates has the most obvious influence on the chock module, and gate valve and tree cap have the most significant influence on the reliability of the system. In order to improve the reliability of subsea tree system, it is necessary to improve the reliability of chock module, gate valve and tree cap.     

石油化工企业的节水减排

概述了石油化工行业的用水及节水减排现状,分析了目前条件下节水减排工作存在的主要问题,提出了采用清洁生产技术、节水技术、优化用水排水系统、废水资源化等节水减排的具体措施。     

多元回归和BP人工神经网络在预测混合厌氧消化产气量过程中的应用比较

对脂肪类单基质和城市污水厂剩余污泥混合厌氧消化过程的产气阶段进行基于多元回归和BP人工神经网络的产气量预测模型比较研究。实验数据分别取自反应过程的第1～16天和第17～70天。结果表明:多元回归模型的预测平均准确率分别为75.69%和79.29%;BP神经网络模型的预测平均准确率为79.05%。通过对比2种模型的预测结果可知,两种模型都有较高的预测准确率,但BP模型的预测准确率更高,更适用于混合厌氧消化产气量预测。     

国内外电子垃圾回收处理利用进展概述

概述了国内外电子垃圾回收处理利用进展状况,简介了电子垃圾回收利用的几项典型技术,指出为应对发达国家将电子垃圾污染向发展中国家转移的现实,制定电子垃圾循环利用的国际统一标准刻不容缓。     

再生资源价值回收率分析

目前国内关于再生资源利用水平评价方法的研究仍较少,本文着眼于构建一种再生资源有效价值利用水平的评价方法,并用于实例分析。首先从再生资源利用总量的角度,提出了衡量再生资源利用水平的评价指标及其计算方法;然后基于再生资源加工利用过程中的价值变化,定义了以原生资源生产的零部件或产品的价值为基准价值的回收指标,将再生资源整体价值回收率作为评价再生资源利用水平的新指标,并结合价值回收流程构建了以再生资源不同用途下的利用量和价值回收率为变量的计算模型;最后选取某再生资源园区,计算其近期和中远期的废旧物资价值回收率,说明在资源化率基本不变的情况下,通过提高再利用率和再制造率可提升再生资源的价值回收率。     

Dispersal networks for enhancing bacterial degradation in heterogeneous environments

Successful biodegradation of organic soil pollutants depends on their bioavailability to catabolically active microorganisms. In particular, environmental heterogeneities often limit bacterial access to pollutants. Experimental and modelling studies revealed that fungal networks can facilitate bacterial dispersal and may thereby improve pollutant bioavailability. Here, we investigate the influence of such bacterial dispersal networks on biodegradation performance under spatially heterogeneous abiotic conditions using a process-based simulation model. To match typical situations in polluted soils, two types of abiotic conditions are studied: heterogeneous bacterial dispersal conditions and heterogeneous initial resource distributions. The model predicts that networks facilitating bacterial dispersal can enhance biodegradation performance for a wide range of these conditions. Additionally, the time horizon over which this performance is assessed and the network’s spatial configuration are key factors determining the degree of biodegradation improvement. Our results support the idea of stimulating the establishment of fungal mycelia for enhanced bioremediation of polluted soils.