Analysis of interprovincial trade embodied carbon emissions in Beijing-Tianjin-Hebei and surrounding provinces: based on constructed MRIO Model

The interprovincial trade embodied carbon emissions plays an important role in the national emission reduction target among China’s provinces. Furthermore, it will affect the smooth start-up of the national carbon trade market as well as the implementation of targets in 2030 for dealing with the climate change. Based on constructed MRIO model, this paper analyzes the embodied carbon emission trade flows among Beijing, Tianjin, Hebei and surrounding regions such as Shanxi, Shaanxi, and Inner Mongolia. The results indicate that six provinces have formed different patterns of carbon trade balance, where Beijing, Tianjin, and Hebei provinces are in a deficit position, while the other three provinces are in a surplus position. Beijing, Tianjin, and Hebei have transferred part of the carbon emissions to the other three provinces, which shows greater heterogeneity among various provinces and provincial different sectors. On basis of the conclusions, this paper puts forward some suggestions on provincial decomposition, responsibility distribution, and provincial collaborative reduction for national emission reduction targets.     

乡镇居民点规模—功能系统耦合协调发展研究——以重庆市潼南区为例

借鉴耦合理论,建立了乡镇居民点规模-功能耦合系统,以潼南区为案例,采用熵权法、耦合协调度评价和空间集聚分析等方法,对2014年潼南区22个乡镇居民点规模-功能的耦合协调发展状态进行评价。研究发现,经济规模是乡镇居民点规模的主要决定因素。第三产业是影响居民点生产功能的主要因素,教育医疗则是影响生活功能的主要因素,建成区绿化面积是影响居民点生态功能的主要因素。潼南区乡镇居民点规模-功能耦合协调发展水平在空间上具有明显的单核结构特征,区域发展具有较大的不平衡性。大部分乡镇规模-功能耦合处于拮抗状态,规模滞后状态,规模、功能建设发展都处于低水平状态。应当积极培育县城以外的区域次级增长中心,以缩小区域发展的不平衡性。在村镇居民点的规划中,应重视居民点经济规模的地位与作用,以求更为合理的预测居民点规模,并规划建设居民点功能。     

Occurrence and human dietary assessment of sulfonamide antibiotics in cultured fish around Tai Lake,China

As the most important fishery medicines, sulfonamides are widely used to prevent diseases caused by pathogens in aquaculture. However, relatively little is known about the residues and dietary risks associated with cultured fish around Tai Lake. In the present study, a sampling strategy for a complete aquaculture period was conducted. Specifically, 12 selected sulfonamide antibiotics were measured among 116 fish samples recruited from four sampling periods, four species, four areas, and 18 fish ponds. All 12 antibiotics were detected at detection frequencies of 4.31–28.45%. Total sulfonamides were detected in 77.59% of the fish samples, with 57.76% of fish samples containing from 0.1 to 10 μg kg^?1. Sulfadiazine (SDZ), sulfamethoxazole (SMZ), sulfamethazine (SDD), and sulfamonomethoxine (SMM) were the main types of antibiotics used, and these were present at high concentrations (>100 μg kg^?1) with high occurrences, especially in the middle of the aquaculture season. Dietary assessment showed that residual antibiotics in all fish that were being sent to market were far below the maximum residue limit (MRL) of total sulfonamides and that there was almost no risk associated with fish consumption. The results of the present study will facilitate development of effective measures to produce safe aquatic products and meaningful suggestions for consuming aquatic products.     

Physical Characterization and Pre-assessment of Recycled High-Density Polyethylene as 3D Printing Material

3D printing has received lots of attention due to its limitless potential and advantages in comparison to traditional manufacturing processes. This study focuses on the most popular type of home 3D printers, namely fused filament fabrication (FFF) printers, which use plastic filaments as the feedstock. The rather high material cost and large amount of plastic waste generated by FFF 3D printers have driven the need for plastic filaments produced from recycled plastic waste. This study evaluates, in terms of physical characterization, the feasibility of using recycled high-density polyethylene (HDPE), one of the most commonly used plastics, as the feedstock for 3D printers, in comparison with the common acrylonitrile butadiene styrene plastic pellets. In-house extrusion using recycled HDPE pellets and flakes is possible. The diameter consistency and extrusion rate results, along with other physical characterization results, including differential scanning calorimetry, thermogravimetric analysis, Fourier transform infrared spectroscopy, Raman spectroscopy, and water absorption, suggest that making filaments from recycled HDPE pellets is a viable option, as the obtained filament has favorable water rejection and comparable extrusion rate and thermal stability. Existing methods for overcoming the warping and adhesion problems in 3D printing with HDPE were also reviewed. In order to increase the market competitiveness of waste-derived filaments, optimization of the extrusion process, studies on the mechanical and aging properties, and development of a standard characterization methodology and database are crucial.     

铝改性粉煤灰漂珠吸附水溶液中砷的性能研究

采用湿法与干法相结合的方法合成铝改性粉煤灰漂珠环境材料,借助静态吸附实验研究吸附剂量、pH值、离子强度、共存离子、反应时间和温度对其吸附水溶液中砷性能的影响,并进行吸附等温线和动力学拟合.结果表明:铝改性粉煤灰漂珠吸附水中As(V)的最佳pH值范围为中性偏酸;混合离子和H2PO4-对As(V)的吸附影响较大,CO32-次之;离子强度对As(V)吸附的影响不明显;在温度298K、吸附剂量2.5g/L和反应时间24h的条件下,最大吸附容量约5000μg/g;吸附等温线符合Langmuir单层吸附模型;动力学过程符合准二级动力学模型.     

基于异养-硫自养反硝化耦合技术的陶粒-硫磺混合生物填料对城市污水处理厂尾水的深度脱氮

针对城市污水处理厂脱氮能力的不足,设计了2种不同体积比的陶粒-硫磺混合生物填料反应器(陶粒与硫磺的体积比分别为2∶1和5∶1),并用其对城市污水处理厂尾水进行了深度处理.结果表明,陶粒与硫磺体积比为2∶1的混合生物填料反应器(R2,高硫耦合组)在C/N为4,HRT为4h的条件下处理模拟废水时脱氮效率最高,TN平均去除率...     

A new joint publication

Special FeatureWaste Management Research in Korea

A new joint publication     

Relationship of urinary arsenic metabolites to intake estimates in residents of the Red River Delta, Vietnam

This study investigated the status of arsenic (As) exposure from groundwater and rice, and its methylation capacity in residents from the Red River Delta, Vietnam. Arsenic levels in groundwater ranged from <1.8 to 486 μg/L. Remarkably, 86% of groundwater samples exceeded WHO drinking water guideline of 10 μg/L. Also, estimated inorganic As intake from groundwater and rice were over Provisional Tolerable Weekly Intake (15 μg/week/kg body wt.) by FAO/WHO for 92% of the residents examined. Inorganic As and its metabolite (monomethylarsonic acid and dimethylarsinic acid) concentrations in human urine were positively correlated with estimated inorganic As intake. These results suggest that residents in these areas are exposed to As through consumption of groundwater and rice, and potential health risk of As is of great concern for these people. Urinary concentration ratios of dimethylarsinic acid to monomethylarsonic acid in children were higher than those in adults, especially among men, indicating greater As methylation capacity in children.     

好氧与厌氧氨氧化复合颗粒污泥完全自营养脱氮影响因素

采用间歇实验,考察了初始NH⁺₄-N浓度、DO浓度和pH对颗粒污泥完全自营养脱氮的特性的影响。研究表明,在完全自营养脱氮系统中,当DO为0.6～0.8 mg/L,pH控制在7.5～7.8时,好氧氨氧化和厌氧氨氧化速率在一定范围内随NH⁺₄-N浓度（30～150 mg/L）的增加而增加,较高的氨氮浓度能提高自营养脱氮反应速率。较高的DO有利于提高亚硝酸盐氧化速率,但会导致亚硝酸盐的积累;DO浓度过低时,好氧氨氧化过程受到抑制。NH⁺₄浓度为36 mg/L,DO控制在0.6～0.8 mg/L的条件下,当pH值为7.8时,完全自营养脱氮的效果最佳,总氮去除速率达最大值为23.976 mg/(g MLSS·d)。     

Uncertainty Reduction of the Flood Stage Forecasting Using Neural Networks Model1

Abstract: The Elman Discrete Recurrent Neural Networks Model (EDRNNM), which is one of the special types of neural networks model, is developed and applied for the flood stage forecasting at the Musung station (No. 1) of the Wi‐stream catchment, which is one of the International Hydrological Program representative basins, Korea. A total of 135 different training patterns, which involve hidden nodes, standardization process, data length, and lead‐time, are selected for the minimization of the architectural uncertainty. The model parameters, such as optimal connection weights and biases, are estimated during the training performance of the EDRNNM, and we apply them to evaluate the validation performance of the EDRNNM. Sensitivity analysis is used to reduce the uncertainty of input data information of the EDRNNM. As the results of sensitivity analysis, the Improved EDRNNM consists of four input nodes resulting from the exclusion of Dongkok station (No.5) in initial five input nodes group of the EDRNNM. The accuracy of flood stage forecasting during the training and validation performances of the Improved EDRNNM remains the same as that of the EDRNNM. The Improved EDRNNM, therefore, gives highly reliable flood stage forecasting. The best optimal EDRNNM, so called the Improved EDRNNM, is determined by elimination of the uncertainties of architectural and input data information in this study. Consequently, we can avoid unnecessary data collection and operate the flood stage forecasting system economically.