Speciation characterization and coagulation of poly-silica-ferric-chloride：The role of hydrolyzed Fe（Ⅲ） and silica interaction

The highly e cient inorganic polymer flocculants (IPFs) of the ferric-silica system is a new and promising coagulant. Interactions between ferric species and silica play a large part in the coagulation of suspensions. These e ects are quite distinct from those associated with polymeric or colloid silica. However, although these species are key to coagulation e ciency, they have not been comprehensively discussed. A new type of coagulant, poly-silica-ferric-chloride (PFSC), was synthesized by co-polymerization and characterized by time complexation spectroscopy and photon correlation spectroscopy. Compared with traditional ferric salt, the results indicated that PFSC had a higher molecular weight, lesser positive charge, lower Feb and higher Fec. The higher the Si/Fe ratio, the higher the silica and lower the silicac found. The PFSC with appropriate polysilica acid not only obtained better coagulation/flocculation e ciency in turbidity removal, enhanced the flocculation index (FI) and provided less residual ferric, it also lowered water treatment costs compared to traditional ferric salt. Results showed that PFSC could remove colloid particles in water by charge neutralization and sweeping, adsorption bridging mechanism.     

Fabrication and characterization of lightweight aggregate prepared from steel mill sludge in one step

Journal of Material Cycles and Waste Management - The qualified green lightweight aggregate (LWA) was successfully prepared from steel mill sludge (SMS) and fly ash (FAS) in one step using the...     

Direct degradation of methylene blue by unactivated peroxymonosulfate: reaction parameters,kinetics, and mechanism

Environmental Science and Pollution Research - Advanced oxidation processes (AOPs) are efficient methods for water purification. However, there are few studies on using peroxymonosulfate (PMS) to...     

How does turions production of Potamogeton crispus L. respond to parental population biomass and living environment

Environmental Science and Pollution Research - Turions production is the dominant means of propagation in Potamogeton crispus L. To understand how parental population and their living environmental...     

The role of N6-methyladenosine methylation in environmental exposure-induced health damage

Environmental Science and Pollution Research - The health risks caused by environmental pollution have long been of substantial concern. With the development of epigenetics, a large number of...     

Trends of ischemic heart disease mortality attributable to household air pollution during 1990–2019 in China and India: an age-period-cohort analysis

Environmental Science and Pollution Research - Cardiovascular diseases (CVD) caused by household air pollution (HAP) have sparked widespread concern globally in the recent decade. Meanwhile,...     

The U.S.-China Supply Competition for Rare Earth Elements: a Dynamic Game View

Environmental Modeling & Assessment - Rare earth elements govern today’s high-tech world and are deemed to be essential for the attainment of sustainable development goals. Since the...     

基于多源数据融合的煤矿工作面瓦斯浓度预测*

为了解决瓦斯浓度预测使用的单一数据在预测中影响还不够深入的问题,提出基于LSTM神经网络的多源数据融合瓦斯浓度预测模型。模型将上隅角瓦斯浓度、采煤机速度、工作面吨煤瓦斯涌出量等不同数据融合作为输入层参数,使用Adam优化算法更新LSTM网络层参数,利用Attention机制突出关键影响瓦斯浓度的因素,开展多源数据融合的瓦斯浓度预测,结合某矿1008工作面的实际数据,分析不同数据在瓦斯浓度预测中的作用。研究结果表明:单变量下的Attention-aLSTM预测效果相比LSTM提升14.2%;多源数据融合下的Attention-aLSTM相比自身提升了5%。     

生物法处理棉浆黑液的现场实验研究

利用经驯化的以嗜碱菌群为主的好氧活性污泥及常规厌氧、好氧污泥,针对不同浓度的棉浆黑液在现场进行了单独"好氧"及"好氧-厌氧-好氧"全流程工艺实验。结果表明:对棉浆黑液直接进行好氧曝气,可将原水pH值自12.4左右稳定降低至10以下,COD去除率可达40%左右。全流程实验中厌氧效果显著,pH值最低可降至8.2,整个系统抗冲击能力强,运行稳定,COD总去除率保持在63%以上。     

Multiple-pattern parameter identification and uncertainty analysis approach for water quality modeling

This paper presents a multiple-pattern parameter identification and uncertainty analysis approach for robust water quality modeling using a neural network (NN) embedded genetic algorithm (GA). The modeling approach uses an adaptive NN–GA framework to inversely solve the governing equations in a water quality model for multiple parameter patterns, along with an alternating fitness method to maintain solution diversity. The procedure was demonstrated through a coupled 2D hydrodynamic and eutrophication model for Loch Raven Reservoir in Maryland. The inverse problem was formulated as a nonlinear optimization problem minimizing the degree of misfit (DOM) between model results and observed data. A set of NN models was developed to approximate the input-output response relationship of the Loch Raven Reservoir model and was incorporated into a GA framework in an adaptive fashion to search for near-optimal solutions minimizing the DOM. The numerical example showed that the adaptive NN–GA approach is capable of identifying multiple parameter patterns that reproduce the observed data equally well. The resulting parameter patterns were incorporated into the numerical model, and a multiple-pattern robust water quality modeling analysis, along with a compound margin of safety (CMOS) method, was proposed and applied to analyze the parameter pattern uncertainty.