基于RF-LSTM的鸡舍恶臭气体预测研究

以鸡舍氨气为研究对象,对鸡舍氨气预测模型进行了研究.首先,利用随机森林算法（RF）对影响鸡舍氨气浓度的环境变量进行重要性排序,选取温度、湿度、光照、气象温度、降雨量作为模型的输入变量;在此基础上,构建了基于长短时记忆神经网络（LSTM）的鸡舍氨气浓度预测模型,并将提出的预测模型应用于江苏省宜兴市某养鸡场的氨气浓度预测中,并与LSTM模型、RF-Elman模型和RF-BP模型进行了对比实验,结果表明,基于RF-LSTM模型的预测效果最好,其平均绝对误差（MAE）、平均绝对百分误差（MAPE）和均方根误差（RMSE）分别为0.9183、4.9637%和1.4262;同时,为了验证该模型的性能,本文还实现了不同时间尺度的鸡舍氨气浓度预测,提前2h、3h、4h、5h氨气预测的平均绝对误差（MAE）分别为1.6218、2.1991、2.8553和3.0677.本文提出的预测模型提高了鸡舍氨气浓度的预测精度,可为减少鸡舍恶臭气体排放提供科学依据.     

稻壳与聚氯乙烯共热解的特性及动力学

在热重分析仪中进行了稻壳和聚氯乙烯（PVC）的共热解实验,结果显示:在共热解时稻壳开始剧烈热解的温度相比单独热解时大幅度降低,由350℃降至300℃,表明掺入PVC降低了稻壳的热解温度。在升温速率为20℃/min,稻壳和PVC比例为2∶1（质量比）时,混合热解协同效应最明显。3种动力学分析方法均证明共热解现象的存在。利用Coats-Redfern法进行动力学分析,发现共热解活化能普遍较单独热解时低,表明PVC与稻壳共热解有明显的相互作用。利用Ozawa法进行分析,发现转化率为20%~60%阶段下共热解平均活化能值为37.60 kJ/mol,低于稻壳单独热解的平均活化能41.45 kJ/mol。Friedman法分析结果显示对应转化率下共热解活化能均低于稻壳单独热解活化能。稻壳和PVC共热解倾向于反应动力学控制。     

基于洪涝风险分析的纽约市城市绿地规划设计及其对中国的启示

1968年美国开始推行洪涝保险计划,不断完善对洪涝风险的研究,并逐步形成了一套相对完善的洪泛区管理体系,而洪涝风险分析在洪涝保险、城市规划、土地开发、应急管理等领域广泛应用。纽约市在经历了多次飓风侵害,尤其是2012年飓风桑迪（Sandy）之后,意识到城市绿地在极端暴雨事件时对雨洪调蓄的重要作用,经过持续的研究实践,提出了基于洪涝风险分析的城市绿地规划设计要求。基于总结美国纽约市在飓风桑迪影响下对洪涝风险图的调整,及其对城市绿地规划设计相关要求,提出其对我国洪涝风险管控及城市绿地规划设计的启示。     

石墨烯/聚苯胺修饰阴极对反硝化MFC性能影响

反硝化生物阴极微生物燃料电池（MFC）以电极为电子供体,在自养条件下完成硝酸盐去除过程.本研究以碳布（CC）为基底材料,分别制备获得还原氧化石墨烯修饰（rGO-CC）,聚苯胺修饰（PANI-CC）及二者复合修饰的CC电极（rGO/PANI-CC）,并考察其作为阴极材料对反硝化生物阴极MFC产电脱氮性能的影响.扫描电镜结果显示,rGO-CC和PANI-CC的碳纤维分别被片层状rGO和网状PANI覆盖,而rGO/PANI-CC表面呈现PANI在附着rGO的碳纤维上团聚的形貌,均增大了碳布的比表面积.循环伏安测试显示,rGO/PANI-CC具有最高的电化学活性.以rGO-CC,PANI-CC和rGO/PANI-CC为阴极构建MFC的产电能力分别提高了82%,24%和41%,其阴极对NO₃^--N的去除能力增强了23%,9%和13%.16S rDNA测序结果揭示修饰后电极表面微生物的多样性下降,Stappia和Pacacoccus属微生物的丰度增加.     

基于Stacking的地面PM2.5浓度估算

为了解决地面PM_2.5监测网络在空间和时间覆盖受限的问题,提出了基于宽时空覆盖的卫星气溶胶光学厚度AOD,利用Stacking方法建立地面PM_2.5浓度估算模型,将AOD、PM_2.5和各气象参数以及与PM_2.5排放有关的数据进行训练,使用改进网格搜索对模型超参数进行优化,通过对多重共线性分析,建立基于Stacking的最优PM_2.5浓度估算模型。选取2016-01-01-2016-12-31的数据作为实验对象,结果表明:相比于随机森林、GBRT和XGBoost 3种模型,使用岭回归作为元学习器的Stacking模型性能更优,可见Stacking适用于大范围地理区域的大气污染监测。     

排水管道沉积物微生物群落及环境因子分析

选取北京市某区的排水管道沉积物进行取样,采用高通量测序手段分析,结果表明变形菌门、广古菌门、拟杆菌门、厚壁菌门是排水管道沉积物微生物中的优势门类;在纲水平上,δ-变形菌纲、甲烷微菌纲、梭菌纲、拟杆菌纲占相对优势;在属水平上,功能性微生物硫酸盐还原菌（SRB）和产甲烷古菌（MA）普遍存在于各处管道.在所选的6段管段中,管段S3、S4处MA的相对丰度分别为20.6%、40.8%,高于其他管段,厌氧产甲烷的潜能较大,有发生可燃气积累的风险;管段S5、S6处的SRB相对丰度分别为9.14%、8.19%,高于其他管段,硫酸盐还原为硫化物的潜能较大,存在管道腐蚀的风险.RDA分析表明污水的DO、水温、硫酸根、TN与管道沉积物中微生物群落存在相关性.     

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。     

锐钛矿型二氧化钛的低温合成及其吸附除氟性能的研究

通过水解法在50℃低温条件下合成了锐钛矿型TiO₂,使用XRD、FT-IR、BET等方法对TiO₂进行了表征,并研究其对水中氟离子的吸附行为。结果表明:所合成锐钛矿型TiO₂比表面积达到278.93 m2/g,常温下对氟离子的最大吸附量为30.02 mg/g。吸附过程符合Langmuir等温线模型和准一级动力学模型,是自发性的吸热过程,吸附机理为静电吸引。     

Bioassay: A useful tool for evaluating reclaimed water safety

Wastewater reclamation and reuse has been proved to be an effective way to relieve the fresh water crisis. However, toxic contaminants remaining in reclaimed water could lead to potential risk for reuse, and the conventional water quality standards have difficulty guaranteeing the safety of reclaimed water. Bioassays can vividly reflect the integrated biological effects of multiple toxic substances in water as a whole, and could be a powerful tool for evaluating the safety of reclaimed water. Therefore, in this study, the advantages and disadvantages of using bioassays for evaluating the safety of reclaimed water were compared with those of conventional water quality standards. Although bioassays have been widely used to describe the toxic effects of reclaimed water and treatment efficiency of reclamation techniques, a single bioassay cannot reflect the complex toxicity of reclaimed water, and a battery of bioassays involving multiple biological effects or in vitro tests with specific toxicity mechanisms would be recommended. Furthermore, in order to evaluate the safety of reclaimed water based on bioassay results, various methods including potential toxicology, the toxicity unit classification system, and a potential eco-toxic effects probe are summarized as well. Especially, some integrated ranking methods based on a bioassay battery involving multiple toxicity effects are recommended as useful tools for evaluating the safety of reclaimed water, which will benefit the promotion and guarantee the rapid development of the reclamation and reuse of wastewater.     

Cytotoxicity of the soluble and insoluble fractions of atmospheric fine particulate matter

Inhaled atmospheric fine particulate matter(PM_(2.5)) includes soluble and insoluble fractions,and each fraction can interact with cells and cause adverse effects.PM_(2.5) samples were collected in Jinan,China,and the soluble and insoluble fractions were separated.According to physiochemical characterization,the soluble fraction mainly contains watersoluble ions and organic acids,and the insoluble fraction mainly contains kaolinite,calcium carbonate and some organic carbon.The interaction between PM_(2.5) and model cell membranes was examined with a quartz crystal microbalance with dissipation(QCM-D) to quantify PM_(2.5) attachment on membranes and membrane disruption.The cytotoxicity of the total PM_(2.5) and the soluble and insoluble fractions,was investigated.Negatively charged PM_(2.5) can adhere to the positively charged membranes and disrupt them.PM_(2.5)also adheres to negatively charged membranes but does not cause membrane rupture.Therefore,electrostatic repulsion does not prevent PM_(2.5) attachment,but electrostatic attraction induces remarkable membrane rupture.The human lung epithelial cell line A549 was used for cytotoxicity assessment.The detected membrane leakage,cellular swelling and blebbing indicated a cell necrosis process.Moreover,the insoluble PM_(2.5) fraction caused a higher cell mortality and more serious cell membrane damage than the soluble fraction.The levels of reactive oxygen species(ROS) enhanced by the two fractions were not significantly different.The findings provide more information to better understand the mechanism of PM_(2.5) cytotoxicity and the effect of PM_(2.5) solubility on cytotoxicity.