碱性矿化水淋洗对土壤盐碱化及小麦生长的影响

为探讨不同矿化度的水对土壤盐渍化的影响及相应的淋洗分数,采用土柱模拟方法,以小麦为指示作物,设计1.0 g/L,1.5 g/L两种矿化度,按3750 m3/hm2灌溉量,分一水、二水两种灌次,秋后进行人工淡水淋洗。结果表明,在半干旱气候条件下,开发碱性矿化水灌溉矿化度不宜超过1.5 g/L,否则有引起碱化的危险。干旱期用碱性矿化水灌溉抗旱时,在同等灌水量的情况下,一水灌溉比二水灌溉积盐轻。各种人工淋洗处理比CK洗盐效果好,其中以等量淋洗综合效益最好。     

基于MODIS数据的安徽省植被水分利用效率时空变化及影响因素

水分利用效率是衡量生态系统碳水循环耦合程度的重要指标。基于MODIS数据、土地覆盖类型数据和气象数据,估算安徽省植被水分利用效率(WUE）,采用趋势分析法和相关分析法对安徽省2000~2014年植被WUE的时空格局、变化趋势及影响因素进行研究。研究表明:（1）不同植被类型的WUE年均值差异明显,常绿阔叶林和常绿针叶林的WUE均值较高,分别达到1.66和1.69 gC?mm-1?m-2,而耕地的年均WUE最低,各植被类型的年均WUE按照“常绿针叶林>常绿阔叶林>灌木>草地>落叶阔叶林>针阔混交林>耕地”的顺序递减。植被年均WUE具有较强的空间分异性规律,整体上呈现南北高中间低的趋势,植被WUE的高值区主要分布在大别山区和皖南山区,分布范围与常绿针叶林、常绿阔叶林的分布范围基本一致。（2）安徽省2000~2014年植被WUE年内变化呈现出“增加-减小-增加-减小”的M状“双峰型”趋势,具有明显的季节差异,呈现出春季＞秋季＞夏季＞冬季的特征,各季节植被WUE的均值分别占植被WUE的32.58%、24.91%、29.27%、13.24%。（3）安徽省植被WUE动态变化受到降水影响显著的区域占比3.88%;气温显著影响的区域占比2.19%;降水显著影响的地区主要分布在林地范围内,温度显著影响的地区则位于耕地范围内,降水和气温综合显著影响所占面积最小,为0.11%;而植被WUE受气温和降水影响均不显著占比为93.82%;整体上,安徽省大部分地区的植被WUE变化主要受非气候因素影响。     

清水冲涮对向家坝以下金沙江河床及岸线资源的影响

随着金沙江下游梯级水电开发的蓬勃开展,清水下泄对下游河床及岸线的影响问题逐渐显露。通过实地观测,走访及清水下泄前后政府和民间数据、影像资料等对比分析,探讨问题的根源和避免问题严重化途径,为共抓长江大保护,为修复长江生态环境提供参考依据。结果发现:清水下泄对向家坝水电站坝址以下金沙江段部分河床及岸线资源造成了较为明显的影响。如该江段原来常见的砂滩、砾石滩除杨湾码头仅存一个沙岛外,其余全部消失;无防护设施的河段(如火焰村小岸组、火焰组和新桥组,豆坝村的马槽、娱乐、黄泥、丰收、中心三组,普安镇的13、12、7、5、4、3、2、1组,西郊街道白石社区新村组)受顶冲作用导致一半以上河漫滩地流失甚至引起滩岸坍塌;白家滩大堤一处坝垛根石将被掏蚀殆尽。此外,水富港三期扩能工程因侵占河道和开挖船池,进一步加剧了对四川安边镇小岸坝的不利影响。严重的下蚀侧蚀导致该江段同期水位明显下降,也对岸线两侧的居民生产生活带来安全隐患。相关各方对区域的特殊性及水电站修建造成的影响存在认识不足,各自的发展、利益和环境保护需求之间的矛盾等是问题产生的根本原因,问题出现后又缺少有效的沟通机制等。     

Increasing the recovery of heavy metal ions using two microbial fuel cells operating in parallel with no power output

The present study aimed to improve the performance of microbial fuel cells (MFCs) by using an intermittent connection period without power output. Connecting two MFCs in parallel improved the voltage output of both MFCs until the voltage stabilized. Electric energy was accumulated in two MFCs containing heavy metal ions copper, zinc, and cadmium as electron acceptors by connection in parallel for several hours. The system was then switched to discharge mode with single MFCs with a 1000-Ω resistor connected between anode and cathode. This method successfully achieved highly efficient removal of heavy metal ions. Even when the anolyte was run in sequencing batch mode, the insufficient voltage and power needed to recover heavy metals from the cathode of MFCs can be complemented by the developed method. The average removal ratio of heavy metal ions in sequencing batch mode was 67 % after 10 h. When the discharge time was 20 h, the removal ratios of zinc, copper, and cadmium were 91.5, 86.7, and 83.57 %, respectively; the average removal ratio of these ions after 20 h was only 52.1 % for the control group. Therefore, the average removal efficiency of heavy metal ions increased by 1.75 times using the electrons stored from the bacteria under the open-circuit conditions in parallel mode. Electrochemical impedance data showed that the anode had lower solution resistance and polarization resistance in the parallel stage than as a single MFC, and capacitance increased with the length of time in parallel.

     

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.     

基于安徽省土地利用变化的地形梯度效应分析

为揭示地形因素与土地利用空间格局演变的关系,以安徽省2000年、2005年以及2010年Landsat TM影像和DEM数据为数据源,利用坡向、地形起伏度、坡度变率和地形位指数多种地形因子,并结合地学信息图谱分析理论从综合角度系统研究土地利用结构时空分异格局在地形梯度上的变化特点及其规律。结果表明:1)研究区主要的土地利用类型是耕地和林地,其次是建设用地和未利用土地,且建设用地面积逐期增加趋势显著。2)2000~2010年研究区不同土地利用类型在不同地形梯度区间的分异规律存在明显差异。低地形梯度范围是耕地、水域和建设用地的优势分布区;中地形梯度范围是草地的集中分布区;林地的优势分布区集中在高地形梯度范围。3)2000~2010年研究区土地利用图谱以稳定型和后期变化型为主,低地形梯度和高地形梯度是稳定型图谱的集中分布区,中低、中高和高地形梯度范围是后期变化型图谱的优势分布区。2000~2005年林地的优势分布区有向较低地形位梯度扩张的趋势,其中,耕地是主要的转入来源。2005~2010年耕地的优势分布区有向较高地形位梯度扩张的趋势,变化模式主要为:"林地–耕地"、"未利用地–耕地"和"草地–耕地"。     

湖北省生态足迹和生态承载力时空动态研究

研究湖北省内部可持续发展的趋势,以2005年、2010年、2013年统计数据为基础,应用生态足迹分析法核算湖北省17个市(州、林区)在三个时间节点的生态足迹与生态承载力,对各地区生态足迹和生态盈亏状况从时间和空间上进行动态研究。研究结果表明:湖北省17个市(州、林区)的总生态足迹和人均生态足迹呈迅速增长趋势,其中中部地区增长最快;2005年生态赤字最为严重的地区集中于以武汉为代表的中东部,2013年生态赤字最为严重的地区集中于中西部,生态赤字空间分布的重心逐渐由东部向西部转移;6种生态生产性土地增长速度由快到慢依次是建筑用地、化石能源、草地、水域、林地和耕地,其中潜江、恩施、天门、仙桃、黄冈等地建筑用地生态足迹增速最快,十堰、鄂州、黄石、荆州、荆门等地则是水域生态足迹增速最快,草地、水域、化石能源用地和耕地的生态足迹增长共同决定各地区人均生态足迹的变化趋势。     

Levels and distribution of Dechloranes in sediments of Lake Taihu,China

The occurrence and spatial distribution of dechloranes including mirex, dechlorane plus (DP), dechlorane (Dec) 602, Dec 603, and Dec 604 in surficial sediments of Lake Taihu were investigated in this study. The concentrations of mirex and DP ranged from below detection limit (BDL) to 1.29 ng g^?1 dw and 0.051 to 2.10 ng g^?1 dw, respectively. Dec 602, Dec 603, and Dec 604 on the other hand, were BDL in any of the samples. The contamination levels of DP were higher than that of Mirex at 21 of all 22 sampling sites. Levels of mirex and DP in the lake sediments were correlated when an extremely high mirex value was removed. Both mirex and DP levels were correlated with the amount of organic matters in the sediment samples. Spatial distribution of mirex and DP suggested that these two chemicals in the lake had similar input sources except for one site. Comparison to previously reported flame retardants’ levels in the sediments shows that DP levels were similar with the levels of tetrabromobisphenol A, hexabromocyclododecane but lower than PBDEs and organophosphates levels in Lake Taihu. The higher levels in the north-east part of Lake Taihu adjacent to two major cities: Wuxi and Suzhou, indicated that city effluent might be a major source for DP contamination in the lake.     

改性糠醛渣吸附脱硫废水中钙离子

石灰石-石膏法烟气脱硫技术中石灰石利用率低导致钙流失严重,为实现脱硫废水中Ca2+的资源化利用,进行糠醛渣改性和Ca2+的吸附特性研究。实验结果表明,利用H3PO4改性后的糠醛渣对脱硫废水中Ca2+具有较高的吸附率;在振荡的前30 min吸附率上升极快,至90 min时基本达到平衡吸附量;对Ca2+浓度对吸附率影响研究结果表明,平衡吸附量与平衡浓度关系符合Langmuir等温吸附方程;在初始Ca2+浓度为300 mg/L的溶液中加入3 g吸附剂,温度30℃条件下振荡90 min,平衡吸附量为8.41 mg/g。     

腐植酸强化苯酚厌氧发酵降解

在无外加电子受体的条件下,首次研究了腐植酸对活性污泥厌氧降解苯酚的影响。研究结果表明,腐植酸Suwannee River Humic Acid Standard(SR-HA)、Leonardite Humic Acid Standard(L-HA)和Pahokee Peat Humic Acid(PP-HA)作为氧化还原介体能够提高苯酚的厌氧发酵降解效率。其中腐植酸PP-HA对苯酚的厌氧降解表现出了最为明显的强化效果,反应进行36 h后,苯酚去除率提高了18.5%。当单独投加的PP-HA浓度在0至100 mg/L范围内,苯酚的厌氧降解效率随着腐植酸浓度增加而逐渐提高,而浓度大于100 mg/L后,腐植酸对苯酚降解效率的促进作用随着PP-HA浓度的增加逐渐减缓。除此之外,当低浓度的蒽醌-2-磺酸钠(AQS)(0.02 m M)和PP-HA(20 mg/L)在反应体系中共存时,相比于无介体存在的对照组,苯酚厌氧降解效率提高了约1.4倍。产物分析结果表明,乙酸和CH4作为苯酚发酵降解的重要产物被检测出来。最后,在氧化还原介体腐植酸的存在下,初步探讨了苯酚厌氧发酵降解的代谢途径。