Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks

China maintains the largest artificial forest area in the world. Studying the dynamic variation of forest biomass and carbon stock is important to the sustainable use of forest resources and understanding of the artificial forest carbon budget in China. In this study, we investigated the potential of Landsat time series stacks for aboveground biomass (AGB) estimation in Yulin District, a key region of the Three-North Shelter region of China. Firstly, the afforestation age was successfully retrieved from the Landsat time series stacks in the last 40 years (from 1974 to 2013) and shown to be consistent with the surveyed tree ages, with a root-mean-square error (RMSE) value of 4.32 years and a determination coefficient (R ²) of 0.824. Then, the AGB regression models were successfully developed by integrating vegetation indices and tree age. The simple ratio vegetation index (SR) is the best candidate of the commonly used vegetation indices for estimating forest AGB, and the forest AGB model was significantly improved using the combination of SR and tree age, with R ² values from 0.50 to 0.727. Finally, the forest AGB images were mapped at eight epochs from 1985 to 2013 using SR and afforestation age. The total forest AGB in seven counties of Yulin District increased by 20.8 G kg, from 5.8 G kg in 1986 to 26.6 G kg in 2013, a total increase of 360 %. For the persistent forest area since 1974, the forest AGB density increased from 15.72 t/ha in 1986 to 44.53 t/ha in 2013, with an annual rate of about 0.98 t/ha. For the artificial forest planted after 1974, the AGB density increased about 1.03 t/ha a year from 1974 to 2013. The results present a noticeable carbon increment for the planted artificial forest in Yulin District over the last four decades.     

Optimization of bio-drying of kitchen waste: inoculation,initial moisture content and bulking agents

Journal of Material Cycles and Waste Management - Bio-drying has been proved to be a promising method for treatment of MSW (municipal solid waste) and sewage sludge due to its high energy...     

阿维菌素对中华绒螯蟹肝胰腺氧化胁迫效应和组织结构的影响

采用半静态染毒法,研究不同浓度(1.6、8.0、16.0μg·L-1)阿维菌素在胁迫中华绒螯蟹12、24、48、96 h时肝胰腺超氧化物歧化酶(SOD)、过氧化氢酶(CAT)活性和丙二醛(MDA)积累量等氧化胁迫相关指标的变化;并在胁迫60 d时,记录各实验组和对照组中华绒螯蟹肝胰腺颜色的变化并进行组织病理观察。3个阿维菌素浓度组为实验组,空白组和溶剂组为对照组。结果表明在整个实验过程中空白组和溶剂组各个时间点各项指标之间无显著差异(P>0.05);低浓度(1.6μg·L-1)组SOD和CAT活力变化不显著(P>0.05);中浓度(8.0μg·L-1)组SOD和CAT活力变化趋势一致,持续被诱导,SOD活力在24 h以后显著高于空白组(P<0.01),CAT活力在48 h以后显著高于空白组(P<0.01);高浓度(16.0μg·L-1)组SOD和CAT活力在12 h~24 h之间变化趋势一致,表现为显著升高(P<0.05),但是在48 h之后,SOD活力显著下降(P<0.05);96 h时,高浓度组SOD活力显著低于空白组(P<0.01),而CAT活力显著高于空白组(P<0.01);在整个实验过程中各实验组MDA积累量逐渐增加,高浓度组氧化胁迫指标的变化幅度大于低浓度组。胁迫60 d时,取样观察可见对照组中华绒螯蟹肝胰腺正常,各实验组中华绒螯蟹肝胰腺发生了不同程度的病变,肝胰腺颜色由最开始的橘黄色变成了淡黄色、黄白色甚至白色,高、中、低各浓度组肝胰腺白化所占的比例分别是66.6%、57.1%和25.0%。组织病理分析显示,淡黄色肝胰腺的病理变化主要是B细胞数量减少,肝胰腺上皮细胞部分肿大并出现空泡;黄白肝病理观察可见肝胰腺上皮细胞中空泡数量增多,体积增大,且空泡内出现内容物,细胞核固缩;白肝的病理表现主要是基膜增厚,上皮细胞大量脱落,散落在管腔中,空泡数量进一步增多,肝胰腺的生理功能受损。由此得出,阿维菌素会对中华绒螯蟹肝胰腺造成氧化胁迫和组织损伤,且阿维菌素和对肝胰腺的氧化胁迫效应和组织结构损伤程度有一定的剂量-效应关系。     

Dissipation and residue of triforine in strawberry and soil

Two independent field trials were performed in Guangdong and Hubei, China in 2011 to investigate the dissipation and residue levels of triforine in strawberry and soil. A fast and simple method using gas chromatography with electron capture detector was developed and validated to determine triforine levels in strawberry and soil. The average recovery of triforine in strawberry ranged from 87.46 to 104.32 % with a relative standard deviation (RSD) of 0.72 to 4.54 %; that in soil ranged from 83.82 to 103.01 % with an RSD of 3.89 to 4.36 %. The limit of quantification of the proposed method was 0.01 mg/kg for both strawberry and soil. The results suggest that the triforine dissipation curves followed the first-order kinetic. The half-lives of triforine in strawberry from Guangdong and Hubei were 3.58 and 4.42 days, respectively; those in soil were 3.53 and 4.10 days, respectively. The terminal residues of triforine in strawberry ranged from 0.032 to 0.264 mg/kg at preharvest intervals of 0.5, 1, and 3 days. These values are lower than the maximum residue limit of 1 mg/kg in strawberry set by the Codex Alimentarius Commission.     

Bioaccumulation of zinc,lead, copper,and cadmium from contaminated sediments by native plant species and Acrida cinerea in South China

This research was conducted to search and identify spontaneously growing heavy metal-tolerant plant species that are potentially useful for phytoremediation in contaminated sediment. Five sites were selected for collection of plants growing on polluted shore (river bank) sediment of the Xiang River, China. The concentrations of Zn, Pb, Cu and Cd in plants, sediments, and grasshoppers were determined using flame atomic absorption spectrophotometer (AAS700, Perkin-Elmer, USA). Considering translocation factor and bioaccumulation factor, Rumex crispus (Polygonaceae), Rumex dentatus (Polygonaceae), and Lagopsis supina (Labiatae) could be potentially useful for phytostabilization of metals. R. crispus can be considered potentially useful for phytoextraction of Cd. In light of the biomagnification factors, grasshoppers are deconcentrators for Pb and Cd, microconcentrators for Zn and macroconcentrators for Cu to the plants, respectively. To the best of our knowledge, the present study is the first report on Zn, Pb, Cu and Cd accumulation in R. crispus and L. supina, providing a pioneer contribution to the very small volume of data available on the potential use of native plant species from contaminated sediments in phytostabilization and phytoremediation technologies.     

Anthropogenic oligotrophication via liming: Long-term phosphorus trends in acidified,limed, and neutral reference lakes in Sweden

Restoration of acidified lakes by liming does not, in many cases, improve productivity to a pre-acidified state. We hypothesize that the poor recovery detected in many of these lakes is due to constrained in-lake phosphorous (P) cycling caused by enhanced precipitation of metals in higher pH, limed waters. Long-term (1990–2012) data for 65 limed, circum-neutral (pH 6–8), and acidified lakes in Sweden were analyzed to determine trends for P and potential drivers of these trends. Limed lakes not only had lower mean values and stronger decreasing trends for total P than non-limed lakes, but they also had the highest percentage of decreasing trends (85 %). A P release factor (Hypolimnetic P/Epilimnetic P) was developed to elucidate differences in internal P cycling between lake groups. Consistently, lower P release factors in limed lakes show limitation of internal P cycling during summer months that may be a factor limiting P bioavailability and thus productivity of these systems.     

Analytical methods for microplastics in the environment: a review

Environmental Chemistry Letters - Microplastic pollution is a recently discovered threat to ecosystems requiring the development of new analytical methods. Here, we review classical and advanced...     

好氧颗粒污泥同时脱氮除磷技术研究

采用序批式活性污泥法(SBR)处理新疆油田公司准东石油基地污水,作为生物膜的一种特殊形式,介绍了该工艺的优点,在适宜的运行条件下进行实验。讨论了好氧颗粒污泥脱氮以及除磷的过程,分析了该工艺对氮、磷的去除率及好氧颗粒污泥在好氧、缺氧条件下的吸磷情况,当进水氨氮、磷和乙酸碳浓度分别为38.2 mg/L、27.7 mg/L和134.6 mg/L,MLSS和MLVSS分别为7.0 mg/L、6.4 mg/L时,氨氮、总无机氮、磷、乙酸碳的平均去除率分别达到98.8%、90.2%、98.9%、97.2%.     

油田回注水中优势硫酸盐还原菌的分离鉴定与生理特性研究

从胜利油田回注水中筛选得到一株硫酸盐还原菌，命名为zsz1209。经过16SrDNA序列分析，鉴定zsz1209为梭菌属（Clostridium）。实验研究了zsz109的生理特性，并对通过调节环境pH来抑制菌株zsz1209生长繁殖的可行性进行了探讨。实验结果表明：菌株zsz1209的理想碳源为乙酸钠，在30～60℃之间可较好地生长；SOi浓度低至50mg／L时，生长未受到明显抑制。当培养环境pH高至8．5～9．0或低至3．5～4．0时，检测菌株zsz1209对SO4^2-和碳源（COD）的利用情况，发现zsz1209的生长受到明显抑制，结果表明利用改变环境pH来抑制微生物对油田的腐蚀具有可行性。