重庆市1997年-2005年生态足迹与发展能力实证分析

生态足迹是一种定量测量人类对自然资源利用程度的全新方法。在介绍了生态足迹的概念和生态足迹的模型与生态系统经济发展能力以及目前的研究成果基础上,根据1998年-2006年的《重庆市统计年鉴》的资料数据,对重庆市1997年-2005年的生态足迹进行了实证计算与分析,结果表明重庆市从1997年的人均生态足迹由1.096ha/cap增加到2005年底的1.635ha/cap,人均生态赤字由1997年的0.9000ha/cap增加到2005年的1.2742ha/cap,9年间的增幅为41,5％,平均每年为6.1％;通过人均GDP与发展能力的回归分析表明,生态系统的经济发展能力是一个很好的反映重庆市经济系统状况的指标。     

对一株海洋发光细菌保存方法的探究

从乌贼体表及内脏中提取一株海洋发光细菌,进行分离、纯化。通过四种不同保存方法对该株发光菌进行保存,测定了发光菌在存活期内的相对发光强度,探讨了最佳保存方法,比较发现:低温甘油法可在短期内替代条件苛刻的冷冻干燥法,可保存至少一年,沙土管保存法发光菌复苏效果差,不适宜保存发光菌,常温石蜡保存在实验室条件下可短期保存半年。     

基于旅游生态足迹模型的山东省旅游可持续发展评价

以生态足迹理论为基础,将旅游生态足迹引入区域旅游可持续发展评价,阐述了旅游生态足迹的概念,并构建旅游生态足迹模型,用于衡量旅游可持续发展能力。以山东省作为研究对象,对旅游生态足迹模型在大尺度区域旅游业可持续发展定量测度中的运用进行实证研究,计算其2000年-2004年的旅游生态足迹。结果表明：山东省近五年出现了不同程度的旅游生态赤字和生态压力,平均存在0.133 3 hm2/人的旅游生态赤字,旅游生态压力平均值为4.898 3,并呈现出明显的逐年递增趋势,其旅游业处于不可持续发展状态。     

低强度超声波强化污水生物处理机制

研究发现低强度的超声辐照可以有效促进微生物的活性,可将其用于强化污水的生物处理,通过增强反应器内微生物的活性来提高污水的处理效率.本文综述了超声波在生物工程和生物学上的国内外研究成果,对低强度超声波的生物效应以及在促进生物活性中的主要作用机制进行了探讨,并分析了其在强化污水生物处理中的应用前景.     

三峡库区典型流域水华暴发评价函数模型研究

藻类在光照充足时将无机磷酸和ADP转化为ATP以储备能量,外部条件改变时,则ATP可逆转换为ADP以释放能量.在此理论框架下根据三峡库区典型流域水华暴发时的现场监测数据研究了绿藻光合磷酸化的活化能ΔE、计算了库区流域中若干水系在不同水文条件下提供的有效能量Δe和综合营养指数TLI(Σ),并以ΔE、Δe和TLI(Σ)为参数构建了预测和判断不同水域环境中水华是否暴发的水华暴发评价函数F,在考虑外部因素和内部因素对水华暴发影响程度的大量计算和分析的基础上,确定了ΔE、Δe和TLI(Σ)的相关权重分别为a₁=0.3,a₂=0.3,a₃=0.4.模型计算和实地验证表明:F比单纯的TLI(Σ)作为水华暴发或者水体富营养化的判据更合理,更有说服力和更具普适性.     

爆破制浆工业化生产产污源强研究

介绍在工业化生产条件下爆破制浆产物源强,分析了不同加碱量对产污源强的影响。确定在工业化生产条件下最佳加碱量(石灰)为25 kg/t(折CaO12.5 kg/t),此时可溶性COD产生量为332kg/t。在此条件下,采用生产废水污污分流,提取黑液蒸发浓缩燃烧或综合利用,中段水采用混凝沉淀+水解酸化+好氧生化工艺处理,使废水排放COD浓度达100mg/L。     

污泥厌氧消化技术的研究与进展

厌氧消化是目前国际上应用最为广泛的污泥稳定化和资源化的方法,随着全球性的能源危机以及各国可持续发展和环保法规的相继出台,该技术将有更加广阔的发展前景。阐述了厌氧消化的基本原理和应用情况,讨论了近年国外针对厌氧消化预处理技术和不同运行条件对厌氧消化反应效果的影响以及不同污泥处理工艺产能效果等方面研究成果及最新进展。     

A~2/O工艺在低温低浓度条件下处理效果及节能减耗研究

研究在低水温条件下,进厂污水中有机物浓度较低时(污水平均BOD5为45 mg/L左右),漳扎污水处理厂生化系统较优的运行工况。研究结果表明,在上述情况下,较优的连续运行工况为:污泥回流比为75%左右,MLSS为3 200~3 500 mg/L,生化池处的溶解氧在0.7~1.3 mg/L之间;较优的间歇运行工况为:以曝气3 h停曝3 h的方式运行,生化池处的溶解氧在3~5 mg/L之间,污泥回流比为75%左右,MLSS为3 200~3 500 mg/L。上述两种运行工况对污水中的污染物质都有较高的去除率,能成功避免污泥解絮的发生,使系统中的微生物平稳过冬;其中间歇曝气方式能达到节能减耗的目的,建议在旅游淡季时采用该方式运行。     

The effect of greenhouse vegetation coverage and area on the performance of an earth-to-air heat exchanger for heating and cooling modes

The underground temperature at a depth of about 3–4 m is almost constant all the year round. In summer, the underground temperature is lower than the ambient temperature, but in winter it is vice versa. This potentiality is considered for greenhouse cooling and heating by using an earth-to-air heat exchanger (EAHE). This paper considers the effects of two parameters as independent variables including the area of greenhouse and the percentage of vegetation coverage inside the greenhouse on the performance of an EAHE system during both cooling and heating modes. The inside temperature, the thermal energy exchange and the coefficient of performance (COP) of the system were considered as dependent variables. The results showed that both greenhouse area and the percentage of vegetation coverage inside the greenhouse had significant effects on the performance of the EAHE system during both cooling and heating modes. However, the COP of the EAHE system was higher in the cooling mode (4.32) than during the heating mode (1.01). The percentage of vegetation coverage negatively affected the performance of the EAHE system in the cooling mode. However, the performance of the EAHE system improved with the increase in the percentage of vegetation coverage during the heating mode.     

Stand-alone wind power system with battery/supercapacitor hybrid energy storage

This paper presents a stand-alone wind power system with battery/supercapacitor hybrid energy storage. A stand-alone wind power system mainly consists of a wind turbine, a permanent magnet synchronous generator, hybrid energy storage devices based on a vanadium redox flow battery and a supercapacitor, an AC/DC converter, two bidirectional DC/DC converters, a DC/AC converter and a variable load. Several control strategies for the stand-alone wind power system are involved such as a maximum power point tracking (MPPT) control, a vanadium redox flow battery charge/discharge control and a supercapacitor charge/discharge control. The proposed MPPT control combines a sliding mode control with an extreme search control to capture maximum wind energy. This strategy avoids the necessity of measuring wind velocity, obtaining models or parameters of the wind turbine and calculating the differentials of the power generated from the wind power system and from the speed of the generator. The battery charge/discharge control maintains a constant DC bus voltage. When the battery charging/discharging current reaches the setting threshold, the charge/discharge control of the supercapacitor is triggered to limit the charging/discharging current of the battery. The simulation results show that the proposed method can rapidly respond to variations in wind velocity and load power.