闽三角地区碳排放时空差异及影响因素研究

以闽三角地区为研究对象,以2005~2017年为研究期,构建城市尺度的碳排放清单,应用对数平均迪氏指数分解方法从时间维度的纵向比较和典型年份城市横向比较两个维度开展了驱动因素的分解分析及评价,探讨了闽三角碳排放变化影响因素的时空差异.结果显示：研究期内闽三角CO₂排放增长较快,从2005年的74.08Mt增加到2017年169.48Mt,增幅为128.75%.其中,泉州贡献最大,占比为67.93%.碳排放变化趋势分析来看,产业结构和经济增长为导致闽三角地区碳排放量增长的主要因素,累计贡献度分别为30.38%和12.21%,能源结构为抑制碳排放的重要影响因素,累计贡献度为-45.76%.时空差异上看,能源结构效应在研究期内均表现为抑制效应,最大贡献率为52.95%;而产业结构效应均表现为促进效应,最大贡献率为33.85%.在研究期内,漳州市碳减排力度最大,最大净减排148.27Mt.而泉州市经济增长和产业结构效应贡献率较大,未来仍具有较大的减排空间.厦门市经济增长和产业结构效应贡献率均低于参考值,且在研究期内变动幅度较小,碳减排压力较低.研究结果深化了闽三角地区碳排放的时空格局及影响因素的科学认识,为闽三角地区及相似城市群的减排治理提供了有益借鉴.     

基于小波分解和SVM的大气污染物浓度预测模型研究

针对大气污染物浓度的精准预测问题,运用小波分解将污染物浓度一维序列分解为高维信息,结合气象及污染物浓度数据,构建了基于小波分解的支持向量机预测模型.最后将模型应用于长沙市2018年PM_2.5和O_{3-8 h}的浓度预测.结果表明：①在其他参数不变的条件下,该模型在平均绝对误差（MAE）、平均绝对百分比误差（MAPE）、均方根误差（RMSE）、一致性水平（IA）和相关系数（R）指标上均优于未经小波分解的预测模型;②在考虑其他污染物对PM_2.5浓度的影响后,预测模型评价指标MAE、MAPE和RMSE分别减少了5.57%、9.91%和3.44%,有着更小的误差;③在考虑气象因素对O_{3-8 h}浓度的影响后,预测模型评价指标MAE、MAPE和RMSE分别减少了1.59%、3.54%和0.82%,同样也有更小的误差.由此可以看出,本文所提模型能够有效预测大气污染物浓度,为相关研究提供了方法参考.     

从含铬铝泥中回收铝的新工艺

采用"打浆水洗除Cr(Ⅵ)—电渗析除Cr(Ⅵ)—碱浸提铝—碳酸化分解法精制Al_2O_3"的新工艺处理含铬铝泥(以下简称铝泥),并回收Al_2O_3。实验结果表明:铝泥在70℃下经3次打浆水洗后,w(Na_2CrO_4)(以干铝泥计)降至5.0%;采用电渗析除Cr(Ⅵ)工艺可有效去除铝泥中以结合态和结晶态形式存在的Na_2CrO_4,在55 V直流电压下电渗析6h后铝泥中的w(Na_2CrO_4)降至0.98%;在碱浸温度为100℃、碱浸时间为3 h、NaOH质量浓度为150 g/L的优化碱浸条件下,铝浸出率(以Al_2O_3计)高达90.0%;经3次碳酸化分解处理后,Al_2O_3产品的纯度达98.65%,满足GB/T 24487-2009《氧化铝》中的一级标准,Al_2O_3回收率为96.37%。     

Leak location of pipelines based on characteristic entropy

The leakage of oil/gas pipelines is one of the major factors to influence the safe operation of pipelines. So it is significant to detect and locate the exact pipeline leakage. A novel leak location method based on characteristic entropy is proposed to extract the input feature vectors. In this approach, the combination of wavelet packet and information entropy is called “wavelet packet characteristic entropy” (WP-CE). The combination of empirical mode decomposition and information entropy is called “empirical mode decomposition characteristic entropy” (EMD-CE). Both pressure signal and flow signal of low noise and high noise of pipeline leakage are decomposed to extract the characteristic entropy. The location of pipeline leak is determined by the combination of the characteristic entropy as the input vector and particle swarm optimization and support vector machine method (PSO-SVM). The results of proposed leak location method are compared with those of PSO-SVM based on physical parameters. Under the condition of high noise, the results of proposed leak location method are better than those of PSO-SVM based on physical parameters.     

Characteristics of soil fauna community in the decomposition of Deyeuxia arundinacea litters北大核心CSCD

This study aimed to understand the soil fauna characteristics during the litter decomposition process of perennial herb Deyeuxia arundinacea. The litters were put in 6-, 30-, and 260-mesh litterbags to investigate their mass loss and the dynamics of soil faunal community during Aug. 2013 to Jul. 2014. Faster decomposition rate of Deyeuxia arundinacea in different meshes was found in the early period than in mid- and end-periods. Among different mesh sizes, 6-mesh had the fastest decomposition rate, followed by 30-mesh and 260-mesh. A total of 2218 individuals of soil fauna were obtained in different meshes, with 958, 737 and 523 individuals in 30-, 260- and 6-mesh respectively. Oribatida and Poduridae were the dominant groups, accounting for 73.22% of total individuals. The soil animal individual and group densities shared a very similar trend among the decomposition bags of three aperture sizes, all with obvious characteristics of seasonal dynamic distribution. During the 12 months of decomposition, the density of soil animal groups did not show significant difference between the 6 mesh and 260 mesh decomposition bags except for May. Correlation analysis showed that the group density was highly significantly correlated with average monthly temperature and rainfall, and the individual density significantly correlated with the average monthly temperature. The results indicated that the structure and diversity of soil fauna community of Deyeuxia arundinacea are influenced by hydrothermal conditions. The findings help in understanding the effect of soil fauna to perennial herb litter decomposition.     

Hydrogen peroxide (H2O2) requirement for the oxidation of crude oil in contaminated soils by a modified Fenton's reagent

The oxidation of soil organic matter (SOM) and total petroleum hydrocarbon were investigated in two soils at eight different hydrogen peroxide (H₂O₂) concentrations to determine the optimal H₂O₂ dosage for the efficient remediation of soils contaminated by crude oil with minimal SOM removal. In our study, H₂O₂ concentrations up to 1100 mM increased the SOM destruction up to 10%–15% in the two soils while no improvement of the crude oil removal efficiencies was observed. The results indicate that the destruction of SOM significantly limits the oxidation of crude oil because SOM might consume H₂O₂ more effectively than crude oil at H₂O₂ concentrations above 1100 mM. In addition, H₂O₂ concentrations higher than 1100 mM were not expected for both soils because of the extremely rapid H₂O₂ decomposition, and low H₂O₂ utilization, of both soils.     

Soil organic carbon decomposition and carbon pools in temperate and sub-tropical forests in China

Decomposition of soil organic carbon (SOC) is a critical component of the global carbon cycle, and accurate estimates of SOC decomposition are important for forest carbon modeling and ultimately for decision making relative to carbon sequestration and mitigation of global climate change. We determined the major pools of SOC in four sites representing major forest types in China: temperate forests at Changbai Mountain (CBM) and Qilian Mountain (QLM), and sub-tropical forests at Yujiang (YJ) and Liping (LP) counties. A 90-day laboratory incubation was conducted to measure CO(2) evolution from forest soils from each site, and data from the incubation study were fitted to a three-pool first-order model that separated mineralizable soil organic carbon into active (C(a)), slow (C(s)) and resistant (C(r)) carbon pools. Results indicate that: (1) the rate of SOC decomposition in the sub-tropical zone was faster than that in the temperature zone, (2) The C(a) pool comprised approximately 1-3% of SOC with an average mean residence time (MRT) of 219 days. The C(s) pool comprised approximately 25-65% with an average MRT of 78 yr. The C(r) pool accounted for approximately 35-80% of SOC, (3) The YJ site in the sub-tropical zone had the greatest C(a) pool and the lowest MRT, while the QLM in the temperature zone had the greatest MRT for both the C(a) and C(s) pools. The results suggest a higher capacity for long-term C sequestration as SOC in temperature forests than in sub-tropical forests.     

硝铵炸药生产中的事故防范

通过分析硝铵炸药生产中发生的火灾和爆炸事故，认为硝铵混合物在高温条件下的热分解是引发这类事故的主要原因；还给出硝酸铵热分解的要点，并提出预防恶性事故的措施。【关键词】     

灰色消解模型的改进——z变换后的线性回归解法

针对文献中提出的灰色消解模型的建模方法进行了ｚ变换，然后改用线性回归的办法求解，实例验证后表明，模拟拟合状况一致，但计算工作量大为减轻。     

虾塘残饵腐解对养殖环境影响的研究Ⅱ.虾塘底层残饵腐解对沉积物环境的影响

通过室内模拟实验，研究了虾塘过量残饵的分解过程、池底硫化物的生成原理、沉积物中硫化物的积累与扩散过程和还原条件下虾病发生的可能性。结果显示，在３个月的实验时间内，硫化物可渗透沉积物５ｃｍ深度。静止５ｄ即可耗尽池底溶解氧。在虾饵腐解还原环境中，异养细菌总数达２０３×１０６个／ｇ，弧菌数达６８０×１０４个／ｇ，已达到发生红腿病程度