海绵城市透水砖铺装系统雨水入渗及重金属污染物迁移模拟

海绵城市透水砖铺装系统（PBPS）入渗特征是产流控制及径流污染物去除的重要影响因素之一。通过渗流实验,构建系统土壤层土水特征曲线,建立降雨入渗及径流重金属污染物迁移数学模型,以阐明找平层土壤粒径、基层与垫层厚度比对产流时间及径流重金属污染物去除的影响。研究表明:综合考虑延迟产流与径流重金属去除能力,中砂作为找平层介质最佳;依据结构层出水重金属污染物浓度,基层与垫层厚度比为15∶4时,PBPS对径流中重金属污染物吸附效率最高、去除效果较好。     

基于Sentinel-2的平寨水库叶绿素a浓度反演

为实现对平寨水库叶绿素a的遥感监测,选取平寨水库2017年11月17—18日的实测叶绿素a浓度数据和准同步的Sentinel-2数据,通过选取最佳波段组合建立BP神经网络模型,对平寨水库叶绿素a进行反演,并分析其空间分布特征。结果表明:Sentinel-2红边波段对叶绿素a的敏感性优于可见光波段,在叶绿素a浓度反演方面具有较大潜力。相关系数最大的波段组合方式是:B5/B4、[1/B4-1/B5]*B6、[1/B4-1/B5]*B7和[1/B4-1/B5]*B8;BP神经网络模型可决系数R2为0.9160,平均相对误差为29.87%,反演精度优于三波段模型;平寨水库叶绿素a浓度空间分布差异明显,水面开阔的中心库区浓度较高,各支流上游河段浓度较低。Sentinel-2数据可较好地应用于喀斯特高原湖泊叶绿素a浓度反演,BP神经网络模型估测结果合理、可靠;研究结果可为平寨水库水环境治理提供科学依据。     

新型厌氧多级喷动床及其厌氧氨氧化脱氮性能分析

为改善厌氧反应器内的流态,加快污泥的颗粒化和形成具有生态梯度的微生物生态系统,设计并制作了新型厌氧多级喷动床,实验测试了反应器的水力喷动、气体喷涌和污泥分层分级现象。在常温下,利用新型厌氧多级喷动床接种混合污泥,经过42 d的培养,成功启动厌氧氨氧化反应器,稳定运行18 d后,NH₄+-N、NO₂--N去除率均达到90%以上。启动60 d后,反应器底部出现大量粒径2 mm左右的颗粒污泥,且污泥具有良好的稳定性和沉降性能,沉降速度达到70 m/h。结果表明:厌氧多级喷动床因其特殊的水力结构,可有效加快污泥的颗粒化。     

二乙烯三胺五甲叉膦酸酸解磷尾矿的实验探究

为减少磷尾矿堆积带来的环境污染问题,实现磷尾矿的钙、镁、磷元素的分离,以高镁磷尾矿为原料,采用二乙烯三胺五甲叉膦酸(DTPMP)进行酸解,探究磷尾矿中主要物相在DTPMP中的分解机制,并通过单因素实验探究pH、反应时间、反应温度及投料比对磷尾矿中MgO、CaO和P_2O_5分解率的影响。实验结果表明:pH对P_2O_5的分解率影响较大,高温更有利于尾矿中镁的溶出,在pH为2. 5,反应时间为60 min,反应温度为80℃,投料比为1. 56时,MgO、CaO和P_2O_5的分解率分别达到61. 05%、38. 23%和9. 67%。     

建筑垃圾堆放点样本集构建与优化研究

为更好地解决手工制作的建筑垃圾堆放点样本集效率低、数据量少,难以支撑基于深度学习的遥感图像目标检测算法训练需求的问题,采用基于像素的遥感分类方法构建建筑垃圾堆放点样本集,在此基础上结合直方图均衡化,CS-LBP算子约束以及迁移学习的方法对Wasserstein生成对抗模型（WGAN）进行优化,实现了样本集扩充。研究结果表明:相对于纯手工制作的样本集,基于像素的遥感分类方法可以显著提升样本集制作的效率;同时,经过WGAN优化后,生成样本模拟了原始数据的颜色与纹理特征分布规律,增加了原始数据的多样性,满足了扩充样本集的需求。     

Regulated emission characteristics of in-use LNG and diesel semi-trailer towing vehicles under real driving conditions using PEMS

On-road driving emissions of six liquefied natural gas(LNG) and diesel semi-trailer towing vehicles(STTVs) which met China Emission Standard IV and V were tested using Portable Emission Measurement System(PEMS) in northern China.Emission characteristics of these vehicles under real driving conditions were analyzed and proved that on-road emissions of heavy-duty vehicles(HDVs) were underestimated in the past.There were large differences among LNG and diesel vehicles, which also existed between China V vehicles and China IV vehicles.Emission factors showed the highest level under real driving conditions, which probably be caused by frequent acceleration, deceleration, and start-stop.NOx emission factors ranged from 2.855 to 20.939 g/km based on distance-traveled and 6.719–90.557 g/kg based on fuel consumption during whole tests, which were much higher than previous researches on chassis dynamometer.It was inferred from tests that the fuel consumption rate of the test vehicles had a strong correlation with NOx emission, and the exhaust temperature also affected the efficiency of Selected Catalytic Reduction(SCR) aftertreatment system, thus changing the NOx emission greatly.THC emission factors of LNG vehicles were 2.012–10.636 g/km, which were much higher than that of diesel vehicles(0.029–0.185 g/km).Unburned CH_4 may be an important reason for this phenomenon.Further on-road emission tests, especially CH_4 emission test should be carried out in subsequent research.In addition, the Particulate Number(PN) emission factors of diesel vehicles were at a very high level during whole tests, and Diesel Particulate Filter(DPF)should be installed to reduce PN emission.     

Synergistic effects of Cu species and acidity of Cu-ZSM-5 on catalytic performance for selective catalytic oxidation of n-butylamine

In this work, a series of Cu-ZSM-5 catalysts with different SiO₂/Al₂O₃ ratios (25, 50, 100 and 200) were synthesized and investigated in n-butylamine catalytic degradation. The n-butylamine can be completely catalytic degradation at 350°C over all Cu-ZSM-5 catalysts. Moreover, Cu-ZSM-5 (25) exhibited the highest selectivity to N₂, exceeding 90% at 350°C. These samples were investigated in detail by several characterizations to illuminate the dependence of the catalytic performance on redox properties, Cu species, and acidity. The characterization results proved that the redox properties and chemisorption oxygen primarily affect n-butylamine conversion. N₂ selectivity was impacted by the Brønsted acidity and the isolated Cu²⁺ species. Meanwhile, the surface acid sites over Cu-ZSM-5 catalysts could influence the formation of Cu species. Furthermore, in situ diffuse reflectance infrared Fourier transform spectra was adopted to explore the reaction mechanism. The Cu-ZSM-5 catalysts are the most prospective catalysts for nitrogen-containing volatile organic compounds removal, and the results in this study could provide new insights into catalysts design for VOC catalytic oxidation.     

On-going nitrification in chloraminated drinking water distribution system (DWDS) is conditioned by hydraulics and disinfection strategies

Within the drinking water distribution system (DWDS) using chloramine as disinfectant, nitrification caused by nitrifying bacteria is increasingly becoming a concern as it poses a great challenge for maintaining water quality. To investigate efficient control strategies, operational conditions including hydraulic regimes and disinfectant scenarios were controlled within a flow cell experimental facility. Two test phases were conducted to investigate the effects on the extent of nitrification of three flow rates (Q = 2, 6, and 10 L/min) and four disinfection scenarios (total Cl₂=1 mg/L, Cl₂/NH₃-N=3:1; total Cl₂=1 mg/L, Cl₂/NH₃-N=5:1; total Cl₂=5 mg/L, Cl₂/NH₃-N=3:1; and total Cl₂=5 mg/L, Cl₂/NH₃-N=5:1). Physico-chemical parameters and nitrification indicators were monitored during the tests. The characteristics of biofilm extracellular polymetric substance (EPS) were evaluated after the experiment. The main results from the study indicate that nitrification is affected by hydraulic conditions and the process tends to be severe when the fluid flow transforms from laminar to turbulent (2300<Re<4000). Increasing disinfectant concentration and optimizing Cl₂/NH₃-N mass ratio were found to inhibit nitrification to some extend when the system was running at turbulent condition (Q = 10 L/min, Re = 5535). EPS extracted from biofilm that was established at the flow rate of 6 L/min had greater carbohydrate/protein ratio. Furthermore, several nitrification indicators were evaluated for their prediction efficiency and the results suggest that the change of nitrite, together with total organic carbon (TOC) and turbidity can indicate nitrification potential efficiently.     

Chemical characteristics of road dust PM2.5 fraction in oasis cities at the margin of Tarim Basin

In order to understand the compositions characteristics of particulate matter with aerodynamic diameter less than 2.5 μm (PM_2.5) fraction in road dust (RD_2.5) of oasis cities on the edge of Tarim Basin, 30 road dust (RD) samples were collected in Kashi, Cele, and Yutian in the spring, 2018, and RD_2.5 was collected using the resuspension approach. Eight water-soluble ions, 39 trace elements and 8 fractions of carbon-containing species in PM_2.5 were analyzed. Ca²⁺ and Ca were the most abundant ions and elements in RD_2.5 (7.1% and 9.5%). Cl^- in RD_2.5 was affected not only by attributed to saline-alkali soils in oasis cities of the Tarim Basin and dust from Taklimakan Desert but also by human activities. Moreover, the organic carbon/elemental carbon (OC/EC) ratio indicated that carbon components in RD_2.5 in Cele town mainly come from fossil fuel combustion, while those in Yutian and Kashi mainly come from biomass combustion. It is noteworthy that high Ca in RD_2.5 was seriously affected by anthropogenic emissions, and high Na and K contents in RD_2.5 could be derived from soil and desert dust. It was estimated that Cd, Tl, Sn and Cr were emitted from anthropogenic emissions using the enrichment factor. The coefficients of divergence (COD) result indicated that the influence of local emission on road dust emission is greater than that of long-distance transmission. This study is the first time to comprehensively analyze the chemical characteristics of road dust in oasis cities, and the results provides the sources of road dust at the margin of Tarim Basin.     

Analytical methods and environmental processes of nanoplastics

The degradation of plastic debris may result in the generation of nanoplastics (NPs). Their high specific surface area for the sorption of organic pollutions and toxic heavy metals and possible transfer between organisms at different nutrient levels make the study of NPs an urgent priority. However, there is very limited understanding on the occurrence, distribution, abundant, and fate of NPs in the environment, partially due to the lack of suitable techniques for the separation and identification of NPs from complex environmental matrices. In this review, we first overviewed the state-of-the-art methods for the extraction, separation, identification and quantification of NPs in the environment. Some of them have been successfully applied for the field determination of NPs, while some are borrowed from the detection of microplastics or engineered nanomaterials. Then the possible fate and transport of NPs in the environment are thoroughly described. Although great efforts have been made during the recent years, large knowledge gaps still exist, such as the relatively high detection limit of existing method failing to detect ultralow masses of NPs in the environment, and spherical polystyrene NP models failing to represent the various compositions of NPs with different irregular shapes, which needs further investigation.