焦炭负载型纳米TiO2光催化剂的制备优化试验及其降解效果分析

以焦炭为载体,Na2SiO3为粘结剂制备了负载型纳米TiO2光催化剂,通过单因素试验和正交试验优化出制备该光催化剂的最佳条件,研究分析了该催化剂在紫外灯辐照下降解亚甲基蓝染料废水的效果及影响因素。试验结果表明,煅烧3h,粘结剂浓度为20％wt,煅烧温度为400℃时制备的负载型纳米TiO2光催化剂的降解效果最好,达到80．88％。     

基于IPAT等式的甘肃省用水影响因素分析

将经典的IPAT等式扩展为包含人口、富裕程度、用水强度和产业结构4种影响因素的用水分析等式;并利用结构分解模型,将4种影响因素对总用水量变化的贡献分解开,得到不同因素对用水变化的影响.利用模型对1999-2008年甘肃省用水状况进行了实证分析,结果表明:富裕程度对用水量的增加效应最大,最高为2003-2004年(21.07×108m3);而人口变化对用水量的增加效应相对较小,均小于1×108m3;尽管用水效率的提高和产业结构的变化都减少用水量,但产业结构变化对用水量变化的贡献比用水效率的贡献小;此外,单纯地提高用水效率或调整产业结构,并不能保证在环境约束下实现社会经济的发展.因此,随着人口和经济规模的不断扩大,为了满足人民群众不断增长的需求,不仅要从提高用水效率、调整产业结构出发,实现水资源的高效优化配置;更重要的是调整发展思路,摆正人和自然的位置,才能真正实现人和自然的和谐发展.     

Home composting as an alternative treatment option for organic household waste in Denmark: An environmental assessment using life cycle assessment-modelling

An environmental assessment of the management of organic household waste (OHW) was performed from a life cycle perspective by means of the waste-life cycle assessment (LCA) model EASEWASTE. The focus was on home composting of OHW in Denmark and six different home composting units (with different input and different mixing frequencies) were modelled. In addition, incineration and landfilling was modelled as alternatives to home composting. The most important processes contributing to the environmental impact of home composting were identified as greenhouse gas (GHG) emissions (load) and the avoided emissions in relation to the substitution of fertiliser and peat when compost was used in hobby gardening (saving). The replacement of fertiliser and peat was also identified as one of the most sensible parameters, which could potentially have a significant environmental benefit. Many of the impact categories (especially human toxicity via water (HTw) and soil (HTs)) were affected by the heavy metal contents of the incoming OHW. The concentrations of heavy metals in the compost were below the threshold values for compost used on land and were thus not considered to constitute a problem. The GHG emissions were, on the other hand, dependent on the management of the composting units. The frequently mixed composting units had the highest GHG emissions. The environmental profiles of the home composting scenarios were in the order of −2 to 16 milli person equivalents (mPE) Mg⁻¹ wet waste (ww) for the non-toxic categories and −0.9 to 28 mPE Mg⁻¹ ww for the toxic categories. Home composting performed better than or as good as incineration and landfilling in several of the potential impact categories. One exception was the global warming (GW) category, in which incineration performed better due to the substitution of heat and electricity based on fossil fuels.     

Streamflow Forecasting Using Singular Value Decomposition and Support Vector Machine for the Upper Rio Grande River Basin

The current study improves streamflow forecast lead‐time by coupling climate information in a data‐driven modeling framework. The spatial–temporal correlation between streamflow and oceanic–atmospheric variability represented by sea surface temperature (SST), 500‐mbar geopotential height (Z₅₀₀), 500‐mbar specific humidity (SH₅₀₀), and 500‐mbar east–west wind (U₅₀₀) of the Pacific and the Atlantic Ocean is obtained through singular value decomposition (SVD). SVD significant regions are weighted using a nonparametric method and utilized as input in a support vector machine (SVM) framework. The Upper Rio Grande River Basin (URGRB) is selected to test the applicability of the proposed model for the period of 1965–2014. The April–August streamflow volume is forecasted using previous year climate variability, creating a lagged relationship of 1–13 months. SVD results showed the streamflow variability was better explained by SST and U₅₀₀ as compared to Z₅₀₀ and SH₅₀₀. The SVM model showed satisfactory forecasting ability with best results achieved using a one‐month lead to forecast the following four‐month period. Overall, the SVM results showed excellent predictive ability with average correlation coefficient of 0.89 and Nash–Sutcliffe efficiency of 0.79. This study contributes toward identifying new SVD significant regions and improving streamflow forecast lead‐time of the URGRB.     

滨海新区能源消费驱动因素完全分解研究

运用完全分解模型详细研究了2000-2007年间滨海新区能源消费总量变化的过程。结果表明,2000-2007年期间,经济规模扩张因素所产生的增长效应对滨海新区能源消费总量的持续增长起主导作用。与此同时,产业结构的变动对能源消费的减量作用为负面的,技术进步因素产生的能源强度效应则是推动滨海新区能源消费减量的主要因素。笔者认为,推动产业结构的跨越式演进以及在未来城市规划中增加能源消费总量约束性的发展指标是滨海新区实现能源消费总量降低的重要途径和手段。     

基于复合LSTM模型的PM2.5浓度预测

在对淄博市19个空气质量监测站点监测数据进行分析后,提出了一种基于机器学习的复合模型——灰色关联度分析(GRA)-改进的完备总体经验模态分解(ICEEMD)-长短期记忆网络(LSTM)模型。通过分析淄博市2019年大气污染物和气象数据,选用LSTM模型预测PM_2.5浓度。由于传统单一模块机器学习模型具有训练时间较长和预测精度较低的问题,提出了复合LSTM模型。该模型由3部分组成：GRA,用于PM_2.5浓度影响因素变量筛选;ICEEMD,用于PM_2.5分解、分量筛选和原始大气污染物及气象数据处理;LSTM,用于PM_2.5浓度预测。预测结果表明：淄博市中部丘陵地带PM_2.5浓度高于南部山区和北部平原,东部高于西部;淄博市逐月PM_2.5浓度呈“U”形分布,1月最高,8月最低;淄博市PM_2.5浓度受PM₁₀和CO影响较大,受湿度和温度影响较小。对比单一LSTM模型和GRA-LSTM模型,GRA-ICEEMD-LSTM模型...     

A comparative investigation of NdSrCu_(1-x)Co_xO_(4-δ) and Sm_(1.8)Ce_(0.2)CU_(1-x)Co_xO_(4-δ) (x: 0-0.4) for NO decomposition

A series of single-phase T-structured NdSrCu_(1-x)Co_xO_(4-δ) with oxygen vacancies and T'-structured Sm_(1.8)Ce_(0.2)Cu_(1-x)Co_xO_(4-δ) (x:0-0.4) with oxygen excess were prepared using ultrasound-assisted citric acid complexing method, and characterized by means of techniques such as thermogravimetric analysis and NO temperature-progranuned desorption (NO-TPD). The catalytic activities of these materials were evaluated for the decomposition of NO. It was found that the NdSrCut_xCoxO4_b catalysts were of oxygen vacancies whereas the Sm_(1.8)Ce_(0.2)CU_(1-x)Co_xO_(4-δ) ones possessed excessive oxygen (i.e., over-stoichiometric oxygen); with a rise in Co doping level,the oxygen vacancy density of NdSrCu_(1-x)Co_xO_(4-δ) decreased while the over-stoichiometric oxygen amount of Sm_(1.8)Ce_(0.2)CU_(1-x)Co_xO_(4-δ)increased. The NO-TPD results revealed that NO could be activated much easier over the oxygen-deficient perovskite-like oxides than over the oxygen-excessive perovskite-like oxides, with the NdSrCuO_(3.702) catalyst showing the best efficiency in activating NO molecules. Under the conditions of 1.0% NO/helium, 2800 hr~(-1), and 600-900℃, the catalytic activity of NO decomposition followed the order of NdSrCuO_(3.702)> NdSrCu_(0.8)Co_(0.2)O_(3.736) > NdSrCu_(0.6)Co_(0.4)O_(3.789) > Sm_(1.8)Ce_(0.2)Cu_(0.6)Co_(0.4)O_(4.187)> Sm_(1.8)Ce_(0.2)Cu_(0.8)Co_(0.2)O_(4.104)> Sm_(1.8)Ce_(0.2)CuO_(4.045), in concord with the sequence of decreasing oxygen vacancy or oxygen excess density. Based on the results, we concluded that the higher oxygen vacancy density and the stronger Cu~(3+)/Cu~(2+) redox ability of NdSrCu_(1-x)Co_xO_(4-δ) account for the easier activation of NO and consequently improve the catalytic activity of NO decomposition over the catalysts.     

北京大气中NO、NO2和O3浓度变化的相关性分析

臭氧（O₃）是城市污染大气中的首要光化学污染物,其变化规律与氮氧化物(NO_x=NO+NO₂)关系密切.采用49C臭氧分析仪和42CTL氮氧化物分析仪对北京城区O₃和NO_x浓度进行了连续观测,时间为2004-08～2005-07.结果显示,O₃和OX（O₃+NO₂）浓度在午后15:00左右出现峰值,NO_x呈双峰态日变化,在07:00和23:00左右出现峰值.不同季节污染物的浓度变化存在差异,O₃和NO_x浓度分别在夏季和冬季达到最大.NO_x浓度存在100×10^-9(体积分数)的“分界点”,NO_x低浓度时以NO₂为主,NO_x高浓度时NO占大部分.OX区域贡献和局地贡献存在明显的季节变化,前者主要受区域背景O₃的影响,在春季最大,后者主要受局地NO_x光化学反应的制约,在夏季最强,同时OX组分呈现显著的昼夜差异.     

内蒙古典型草原羊粪和牛粪的分解特征

为了解畜粪的分解特征及对半干旱典型草原养分循环的影响,于2008年6月~2009年10月采用人为控制的野外实验,研究了羊粪和牛粪对内蒙古典型草原草地的输入量,分解过程中的重量损失、有机物和氮(N)、磷(P)浓度变化.结果表明,羊粪和牛粪的年输入量分别约为(17.8±13.8)kg hm-2和(365.6±495.9)kg hm-2.分解450 d后,残留粪样中有机物浓度较鲜粪减少约14.46%(羊粪)和48.78%(牛粪),即羊粪的分解速率较牛粪显著缓慢,2种粪的残留粪块在草地中堆置时间至少可达2个生长季以上.两种粪中,N素以有机态为主,矿化和释放速度均较慢;P素以无机态为主,释放速度较快;春季冻融变化可以显著促进两种粪中N和P的矿化速率;实验结束时,残留粪样中的全N浓度较鲜粪分别降低了25.89%(羊粪)和16.07%(牛粪),全P分别降低了30.73%和27.21%.埋入地下处理,可以消除风蚀对羊粪块失重的影响,使残留粪样保持较高湿度,促进有机质分解,并改变淋溶作用对粪块中养分含量的影响;但对牛粪分解无明显影响.从研究结果可以看出,家畜粪在半干旱草地环境中分解较慢,堆积过程中对草地的养分循环有重要影响.     

Regional Disparities in China＇s Mainland at Provincial Level Between 2000 and 2005

Based on the methodology provided by Organization for Economic Co-operation and Development, we analyze regional disparities in China＇s mainland at provincial level between 2000 and 2005. It regards regional GDP growth as the joint result of contribution of a number of factors, i.e. capital productivity, capital per manpower, specialization, employment rate, active population, and population. The results show that for all provincial units, capital per manpower is a dominant contributing factor to the growth of GDP per capita during the period from 2000 to 2005 while capital productivity has quite significant negative impacts. Specialization contributes differently in different provinces. In most provincial units, employment rate and age activity have a positive impact on growth of GDP per capita, though not very significantly.