Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

Physicochemical aspects of using natural scavengers in removing methylene blue (basic dye) from solution

Effluent from dyeing and finishing processes is an important source of water pollution. The effectiveness of bentonite, kaolinite and sediment from a local deposit in removing methylene blue as a cationic dye from aqueous solutions has been investigated. The adsorption equilibrium (isotherm) has been determined according to Freundlich and Langmuir equations. The optimum amount is 0.5 g for all adsorbents, and the optimum pH ranges are 2-8 for bentonite and 2-6 for kaolinite and sediment. With respect to kinetic modelling, the adsorption of methylene blue on various adsorbents was fitted to a second-order equation. Also, the thermodynamic parameters were determined. The negative free energy values indicate the feasibility of the process and spontaneous nature of adsorption. The positive ΔH° values indicate the endothermic nature of the process. Thus, Egyptian clay minerals and sediments have a great tendency to remove the dye from solutions.     

煤沥青烟气对大鼠肺损伤及免疫功能的影响

采用自然吸入的暴露方法，通过分析肺灌洗液成分及脾脏淋巴细胞的转化功能，观察碳素厂冷压车间空气对大鼠肺损伤及免疫功能的影响，结果表明，在自然吸入染毒期间，引起大鼠肺灌洗液中乳酸氢酶、酸性磷酸酶和唾液含量或高，肺巨噬细胞及其Ｆｃ受体数降低，并且还引起脾脏淋巴细胞的转化能力下降。     

常州市臭氧污染传输路径和潜在源区

利用NCEP全球再分析资料和HYSPLIT4模式,计算了2013—2015年常州市臭氧(O_3)超标日的气流后向轨迹。结合聚类分析方法和常州市PM2.5、PM10、SO2、NO2、O_3数据,分析了O_3超标日不同类型气团来源对各污染物浓度的影响,并利用引入权重因子后的潜在污染源贡献函数分析了影响常州市O_3超标的潜在污染源区分布特征。结果表明:常州市O_3超标期间易受到东南和西南方向气流影响,其中从东海和黄海途经浙江东北部、上海、江苏南部等地的东南气流占比达50%以上。自内陆途经黄山-湖州-宜兴到常州的气流对应的O_3平均质量浓度最高,为116μg/m3。自山东经枣庄-宿迁-淮安-泰州-苏州-无锡到常州的气流对应的O_3平均质量浓度最低,为78μg/m3,但该气流对应的SO2和NO2平均值为各聚类中的最高。影响常州市O_3的潜在污染源区主要在常州周边200 km以内的区域,且集中在从南京至上海的长江下游沿线区域和杭州湾区域;其中太湖湖区为重点污染源源区之一。O_3超标日影响常州NO2的潜在污染源区主要集中在江苏南部、浙江东北部和上海3个区域,太湖周边的常州、无锡、苏州和湖州等几个临近城市为潜在的重点污染源区。与影响常州O_3的WPSCF高值区相比,影响NO2的高值区分布范围更大、距离更远。影响常州O_3的潜在污染源区分布,与长江三角洲地区人为源大气污染物的高排放区域较为一致,说明长江三角洲地区的O_3污染与本区域的人为源大气污染物排放有着极为密切的关联。     

县域生态功能区划研究——以巩义市为例

文章结合河南省巩义市的实例,对县城小尺度生态功能区划分的方法和指标选取进行实际应用的探讨。巩义市生态功能区划采用2级分区（生态区和生态功能区）的等级体系。其中,生态功能区的划分采用定量与定性相结合的方法,定量分析中选取了形成生态系统特征、影响生态服务功能的14个特征因子进行聚类分析,在此基础上,再采用主导标志法进行区域划分。最后提出巩义市4个生态区和8个生态功能区的二级生态功能区划方案。     

电炉钢渣对水中Cu2+、Cd2+和Pb2+的去除作用

以宝钢电炉钢渣为研究对象,考察了钢渣对溶液中重金属离子Cu2+、Cd2+、Pb2+的吸附动力学、吸附等温线、吸附热力学特征,借助多种分析手段(XRD、BET比表面分析、SEM/EDS等)对钢渣进行了理化性能测试和表征.结果表明,电炉钢渣对重金属离子的吸附速率较快,吸附速率顺序为Cd2+>Pb2+>Cu2+,吸附过程符合一级动力学模型(R2>0.99).吸附等温实验结果表明,Langmuir模型较为适合重金属离子在钢渣上的吸附,实验条件下对Cu2+、Cd2+、Pb2+离子的最大吸附容量分别为0.101、0.058、0.120 mmol.g-1.3种重金属离子在钢渣上的吸附是一个吸热(ΔH0<0)、熵值增大(ΔS0>0)的自发反应过程(ΔG0<0),熵效应是吸附反应自发进行的主要驱动力.SEM/EDS分析结果揭示了吸附前后钢渣表面形貌和化学成分的变化.电炉钢渣以其低价、高效性在重金属废水处理中具有广阔的应用前景.     

浅议21世纪数学教育的功能

在我国全面实施素质教育的新形势下，时代赋予了数学教育新的使命。数学教育，一方面具有逻辑严密性、结论可靠性及应用广泛性等科学功能；另一方面又具有陶冶情操、完善个性、培养学生理性思维和创造意识等文化功能。     

Coupling a land use model and an ecosystem model for a crop-pasture zone

This paper describes the development of a land use model coupling ecosystem processes. For a given land use pattern in a region, a built-in regional ecosystem model (TESim) simulates leaf physiology of plants, carbon and nitrogen dynamics, and hydrological processes including runoff generation and run-on re-absorption, as well as runoff-induced soil erosion and carbon and nitrogen loss from ecosystems. The simulation results for a certain period from 1976 to 1999 were then used to support land use decisions and to assess the impacts of land use changes on environment. In the coupling model, the land use type for a land unit was determined by optimization of a weighted suitability derived from expert knowledge about the ecosystem state and site conditions. The model was applied to the temperate crop-pasture band in northern China (CCPB) to analyze the interactions between land use and major ecosystem processes and functions and to indicate the added value of the feedbacks by comparing simulations with and without the coupling and feedbacks between land use module and ecosystem processes. The results indicated that the current land use in CCPB is neither economical nor ecologically judicious. The scenario with feedbacks increased NPP by 46.78 g C m⁻² a⁻¹, or 32.23% of the scenario without feedbacks, also decreased soil erosion by 0.65 kg m⁻² a⁻¹, or 23.13%. Without altering the regional land use structure (proportions of each land use type). The system developed in this study potentially benefits both land managers and researchers.     

玛纳斯河流域生态问题的潜在风险性评估

玛纳斯河流域是中国干旱区最具代表性的山地-绿洲-荒漠生态系统,三大生态系统表现出的区域生态、经济要素的空间状况有所分异,所存在的生态安全问题的表现形式也各不相同。根据流域土地利用和水资源数据库,在生态经济功能分区的基础上,针对流域不同分区存在的生态安全问题,选取相应的17个生态风险评估指标,建立了生态-经济风险性评价模型,对流域各个生态经济功能亚区的生态问题潜在的风险性进行了生态风险评估。结果表明:Ⅰ1,Ⅱ1,Ⅱ2,Ⅱ3,Ⅲ1,Ⅲ2和Ⅲ3亚区的生态问题潜在的风险性在增大,说明生态问题日益突出,而Ⅰ1和Ⅱ4亚区生态问题潜在的风险性指数存在波动;Ⅰ,Ⅱ和Ⅲ三个大区中生态问题潜在的风险性指数最高的分别是Ⅰ1,Ⅱ1和Ⅲ1亚区。评价结果能够较为客观地反映了当地的实际情况,因而对流域可能出现的灾害性的环境问题及由此引起的巨大的经济损失提出了警示。     

多元信息综合的市县国土空间规划空间功能识别方法

空间功能识别是确定国土空间规划空间开发保护格局的关键环节,理论和实践意义重大。基于土地利用和地表覆盖现状、精细化DEM、地形单元等基础地理信息,水、生态、环境、灾害等专题数据,社会统计数据等多元信息,利用空间分析、多元统计、计量模型、基于规则的分类模型等技术方法,从多元信息综合集成和自动分类识别的角度,研究构建了一套市县国土空间规划空间主导功能识别的关键技术与方法,并对榆林市域进行空间功能分区。研究表明：本文方法有效将地理实体单元、功能评价指标综合于统一的地域单元,保证了空间功能分类识别的准确性;通过自动分类算法建模,实现空间功能识别的自动化,提高了国土空间规划的客观性和工作效率。