油脂对污泥和餐厨垃圾厌氧消化的影响

探究了油脂对污泥和餐厨垃圾厌氧消化性能的影响。结果表明,油脂对污泥和餐厨垃圾厌氧消化的影响与油脂的含量相关。当油脂质量分数由0提高至30%时,生物气的产量(以挥发性悬浮固体VSS计)也由385 m L/g提高至489 m L/g,然而继续升高油脂含量会抑制生物产气。机理分析表明,适当提高油脂含量能够提高有机物的溶出、VSS的减量以及挥发性脂肪酸(VFA)的积累,从而为微生物提供了良好的条件。过高含量的油脂会抑制有机物溶出和VFA的积累。     

FAHP法在污泥板框调理剂综合评价中的应用

提出了一种新的污泥板框调理剂综合评价方法。传统的CST(毛细吸水时间)、污泥比阻、泥饼含水率等指标只能单一地评价泥饼脱水效果,为了实现对调理效果的综合评价,需要考虑药剂调理费用、运输处置成本、设备处理产能、滤液处理难度等多种因素。通过长期采集中试运行数据,考察了3种污泥板框调理剂对设备、泥饼、滤液和运行4个方面17个指标的影响。引入层次分析法和模糊数学综合评价法相结合的模糊层次分析法(FAHP)对3种污泥板框调理剂进行了综合评价,采用层次分析法确定指标权重;采用隶属函数对指标进行无量纲化处理,确定其隶属度,解决了指标间的可综合性问题;最后用加权平均法得出评价综合值,综合评价值表明,在这3种调理剂中,调理剂1的综合效果最优,更适合作为该厂的污泥板框脱水调理剂。     

基于SPSS的独流减河水生态水环境相关关系研究

为提升独流减河干流水生态水平,增强水生态管理能力,亟需建立独流减河水生态水环境响应模型,实现通过管理水环境调节水生态的目的。于2017年在独流减河干流10个断面采集了120个水样、40个生物样品,进行了水质检测和藻类鉴定。结果表明:独流减河干流以Cl~-和Na~+为主要离子,平均质量浓度分别为4 774.35mg/L、2 137.35 mg/L;总氮、总磷质量浓度高,平均质量浓度分别为4.17 mg/L、0.46 mg/L;Pb、Cd污染较重,平均质量浓度分别为0.1mg/L、0.05 mg/L;藻类以蓝藻门的数量最多、绿藻门种类最多。基于SPSS平台对水生态指数和水质因子进行相关性分析,并建立了水生态回归模型。结果表明,独流减河藻类香农多样性指数与水体中的氮磷比呈反比例关系,要保证较高的水生态多样性,水体中氮磷比需要控制在8.83以下。     

火灾发生率空间分异及影响因素研究

为了探究我国火灾空间聚集特征与影响因素的空间异质性,采用全局莫兰指数、局部莫兰指数、逐步回归模型、地理加权回归模型、地理探测器方法对我国地级市单元进行研究。研究结果表明:我国火灾发生率具有显著的聚集性;我国火灾发生率较低的“冷点”区域有1个,火灾发生率较高的“热点”区域有4个;人均GDP、城镇居民人均可支配收入、人口密度、年平均气温4 个因素的影响效应具有空间异质性。人均GDP与火灾发生率为正相关,另外3影响因素对火灾发生率的作用表现出正负2种相关关系;2因素交互作用要比单因素作用于火灾发生率时影响力更显著,各影响因素的交互作用类型有非线性增强型和双因子增强型2种。     

新形势下环境质量综合分析思路探讨

随着中国共产党第十九次全国代表大会的顺利召开,环保"大部制"改革、环境监测垂直管理制度改革以及国家"大气十条""水十条""土十条"的全面实施均对生态环境保护、环境监测乃至环境质量综合分析工作提出了新要求。新形势下,环境质量综合分析应与时俱进、开拓创新,进一步优化工作机制,加强系统分析,增强综合分析报告的科学性、规范性、时效性、精准性、客观性等,强化技术与能力支撑,更好发挥环境监测对环境管理和决策的引领作用。     

三峡库区消落带农用坡地磷素径流流失特征

消落带是三峡库区重要的生态交错带,但自发农用和无序开发可能会造成更多的氮磷流失,进而加剧三峡库区水体富营养化。通过对库区连续3 a的定位监测（2011~2013年）,研究了三峡库区消落带农用坡地的磷素流失特征。结果表明：次降雨事件中常规施肥处理的地表径流、壤中流总磷平均浓度分别为0.848±0.153、0.140±0.006 mg/L,其中地表径流中磷的形态以颗粒态为主,壤中流以溶解态的生物可利用磷为主。常规施肥下,地表径流、壤中流磷素年均流失通量分别为0.236±0.004、0.100±0.003 kg·hm 2,地表径流、壤中流磷素流失通量分别占总流失通量的70.2%、29.8%,地表径流是坡地磷素流失的主要途径,但壤中流也是不可忽视的重要途径。与常规施肥处理相比,减量施肥处理地表径流、壤中流磷素流失量分别降低了45.3%、40.0%。建议采取减量施肥的方式,以降低营养盐负荷,保护水环境。     

Correction to: Opportunities to reduce nutrient inputs to the Baltic Sea by improving manure use efficiency in agriculture

While progress has been made in reducing external nutrient inputs to the Baltic Sea, further actions are needed to meet the goals of the Baltic Sea Action Plan (BSAP), especially for the Baltic Proper, Gulf of Finland, and Gulf of Riga sub-basins. We used the net anthropogenic nitrogen and phosphorus inputs (NANI and NAPI, respectively) nutrient accounting approach to construct three scenarios of reduced NANI-NAPI. Reductions assumed that manure nutrients were redistributed from areas with intense animal production to areas that focus on crop production and would otherwise import synthetic and mineral fertilizers. We also used the Simple as Necessary Baltic Long Term Large Scale (SANBALTS) model to compare eutrophication conditions for the scenarios to current and BSAP-target conditions. The scenarios suggest that reducing NANI-NAPI by redistributing manure nutrients, together with improving agronomic practices, could meet 54–82% of the N reductions targets (28–43 kt N reduction) and 38–64% P reduction targets (4–6.6 kt P reduction), depending on scenario. SANBALTS output showed that even partial fulfillment of nutrient reduction targets could have ameliorating effects on eutrophication conditions. Meeting BSAP targets will require addressing additional sources, such as sewage. A common approach to apportioning sources to external nutrients loads could enable further assessment of the feasibility of eutrophication management targets.

     

T酸一次洗水初步处理的研究

采用重氮化－偶合－混凝沉淀和重氮化－混凝沉淀两种方法对Ｔ酸一次洗水的初步处理进步了研究。Ｔ酸一次洗水经两种方法处理后,ＣＯＤ去除率分别为６１．３％、５０．５％,色度去除率分别为７４．６％、７１％。     

Prediction of the adsorption capability onto activated carbon of a large data set of chemicals by local lazy regression method

Accurate quantitative structure–property relationship (QSPR) models based on a large data set containing a total of 3483 organic compounds were developed to predict chemicals’ adsorption capability onto activated carbon in gas phrase. Both global multiple linear regression (MLR) method and local lazy regression (LLR) method were used to develop QSPR models. The results proved that LLR has prediction accuracy 10% higher than that of MLR model. By applying LLR method we can predict the test set (787 compounds) with Q²_ext of 0.900 and root mean square error (RMSE) of 0.129. The accurate model based on this large data set could be useful to predict adsorption property of new compounds since such model covers a highly diverse structural space.     

Degradation kinetics of anthracene by ozone on mineral oxides

To further understand the role of substrates on the heterogeneous reactions of polycyclic aromatic hydrocarbons, the reactions of ozone with anthracene adsorbed on different mineral oxides (SiO₂, α-Al₂O₃ and α-Fe₂O₃) and on Teflon disc were investigated in dark at 20 °C. No reaction between ozone and anthracene on Teflon disc was observed when the ozone concentration was ～1.18 × 10¹⁴ molecules cm^?3. The reactions on mineral oxides exhibited pseudo-first-order kinetics for anthracene loss, and the pseudo-first-order rate constant (k_1,obs) displayed a Langmuir–Hinshelwood dependence on the gas-phase ozone concentration. The adsorption equilibrium constants for ozone (K_O3) on SiO₂-1, SiO₂-2, α-Al₂O₃ and α-Fe₂O₃ were (0.81 ± 0.26) × 10^?15 cm³, (2.83 ± 1.17) × 10^?15 cm³, (2.48 ± 0.77) × 10^?15 cm³ and (1.66 ± 0.45) × 10^?15 cm³, respectively; and the maximum pseudo-first-order rate constant (k_1,max) on these oxides were (0.385 ± 0.058) s^?1, (0.101 ± 0.0138) s^?1, (0.0676 ± 0.0086) s^?1 and (0.0457 ± 0.004) s^?1, respectively. Anthraquinone was identified as the main surface product of anthracene reacted with ozone. Comparison with previous research and the results obtained in this study suggest that the reactivity of anthracene with ozone and the lifetimes of anthracene adsorbed on mineral dust in the atmosphere are determined by the nature of the substrate.