脱水污泥等温干燥特性实验研究及回归分析

利用热重差热分析仪（DTG）对脱水污泥进行干燥实验,测定干燥参数和干燥条件对脱水污泥等温干燥特性的影响,研究了3个温度水平（85℃,100℃,120℃）,5个空气流速（10mL/min,20mL/min,40mL/min,50mL/min,70mL/min）和3个升温速率（15℃/min,20℃/min,40℃/min）。结果表明,样品的干燥速率随着终温的升高、升温速率和空气流速的增大而加快。脱水污泥的干燥过程主要分为加速、恒速和降速3个阶段,且降速干燥段在整个干燥过程中所占的比例较大。其干燥数学模型符合Page方程,经拟合得到 。验证表明,拟合方程算得的MR值与实验结果比较接近。该模型方程可用于描述城市污水污泥的干燥。     

潮汐流人工湿地低温下 NH4+ -N去除模型的比较和优化

针对目前人工湿地在低温条件下脱氮效能降低的问题,本研究对每天3个运行周期的潮汐流人工湿地在低温条件下对NH4+ -N的处理效能进行研究,同时利用表观动力学模型、多元参数回归模型及Monod机制模型对NH4+-N的去除过程进行拟合.结果显示,在平均水温为9～13℃条件下,每天3个运行周期的潮汐流人工湿地对NH4+-N有良...     

Nitrogen cycle of a typical Suaeda salsa marsh ecosystem in the Yellow River estuary

The nitrogen (N) biological cycle of the Suaeda salsa marsh ecosystem in the Yellow River estuary was studied during 2008 to 2009. Results showed that soil N had significant seasonal fluctuations and vertical distribution. The N/P ratio (15.73±1.77) of S. salsa was less than 16, indicating that plant growth was limited by both N and P. The N absorption coefficient of S. salsa was very low (0.007), while the N utilization and cycle coefficients were high (0.824 and 0.331, respectively). The N turnover among compartments of S. salsa marsh showed that N uptake from aboveground parts and roots were 2.539 and 0.622 g/m2, respectively. The N translocation from aboveground parts to roots and from roots to soil were 2.042 and 0.076 g/m2, respectively. The N translocation from aboveground living bodies to litter was 0.497 g/m2, the annual N return from litter to soil was far less than 0.368 g/m2, and the net N mineralization in topsoil during the growing season was 0.033 g/m2. N was an important limiting factor in S. salsa marsh, and the ecosystem was classified as unstable and vulnerable. S. salsa was seemingly well adapted to the low-nutrient status and vulnerable habitat, and the nutrient enrichment due to N import from the Yellow River estuary would be a potential threat to the S. salsa marsh. Excessive nutrient loading might favor invasive species and induce severe long-term degradation of the ecosystem if human intervention measures were not taken. The N quantitative relationships determined in our study might provide a scientific basis for the establishment of effective measures.     

开放源类物料中微粒子排放估算模型的建立

利用实验室微粒子控制模拟试验装置,采用开放源类粉体物料自由下落溢出随机粉尘的实验研究方法,研究了济南市开放源类粉体物料自由下落过程中微粒子排放规律;在一定动力因素条件下,探讨了物料种类、粒度组成,物料含水率,环境空气湿度,自由下落中质量流量等因素对物料排放率的影响;通过数学归纳和模型化处理,建立了开放源类粉体物料自由下落过程中大气微粒子排放估算的数学模型;通过对实验数据进行回归分析后认为,粒径、含水率是对排放率影响最大的因素,质量流量是对排放率影响最小的因素。经试验验证,计算值与试验值基本一致。所获结论,对开放源类物料在转运、装卸、堆放等操作过程中大气微粒子的排放估算和综合防治具有重要的参考价值。     

环境管理过程中对锅炉型号的识别

通过对锅炉型号的简要介绍,提高对锅炉的认识,增强在污染源动态更新调查表的填报过程中锅炉技术指标的填报能力是十分必要的。     

基于化石能源消耗的重庆市二氧化碳排放峰值预测

首先利用重庆市能源平衡表,采用IPCC方法 1对重庆市1997—2012年的碳排放进行核算;其次依据重庆市经济社会发展状况,通过LMDI因素分解法将影响碳排放的因素分解为:人口、人均GDP、产业结构、能源结构、能源强度和碳排放系数;然后利用扩展的重庆市STIRPAT碳排放模型,在9个情景模式下对2013—2050年重庆市碳排放进行预测;最后对比分析了各情景下的峰值大小及出现时间.研究发现:基准模式下的重庆市碳排放在2035年出现32135.38万t的峰值;提高能源利用技术、增加清洁能源使用比例和大力发展第三产业,能在不降低经济发展的情况下有效降低碳排放;消极因素中的第二产业占比下降比碳排放强度下降对碳排放的抑制作用更加明显;积极因素对碳排放峰值的影响比消极因素更有效.     

考虑公众选择偏好的应急避难安置双阶段选址-分配模型

为使开放避难场所符合公众自行避难的实际情况,借鉴Huff模型量化公众选择行为,构建双阶段选址-分配模型,第1阶段确定开放避难场所位置,第2阶段将溢出容量的灾民二次分配到有剩余容量的避难场所,并利用改进粒子群算法进行求解。研究结果表明：双阶段选址-分配模型能够实现同一需求点灾民前往不同避难场所的过程,管理者干预政策能够使服务人数大幅度增加,避免资源浪费、灾民流离失所且二次分配情况主要依赖于第1阶段的结果。研究结果可为管理部门规划应急避难场所提供参考。     

城市环境风险程度排序的模糊分析方法

首先,强调了加强我国城市环境风险程度排序的重要性,然后将城市环境风险系统分解为大气污染环境风险等5个子系统。在建立包含14个城市环境风险因素评价集的基础上,运用模糊集贴近度理论分别构建了城市风险程度排序中“最优序城市”、“中序城市”、“最劣序城市”3个数学模型,这将有利于防范城市环境风险,提高我国城市环境风险管理科学化水平。     

河湖水环境问题及管理和治理模式

本文首先介绍了我国当前的河湖水环境现状,分析了我国水资源存在的一系列问题,主要问题包括水体污染和富营养化;河湖面积严重萎缩,河湖水的功能逐渐退化;难以降解的有机污染物污染量加大。有针对性地提出了改善我国河湖水环境的管理以及治理模式,进一步落实了保护河湖水环境工作,加强水资源周围生态环境的文明建设,实现河湖水环境的可持续发展。     

Modelling Phosphorus Retention in Lakes and Reservoirs

Steady-state models for the prediction of P retention coefficient (R) in lakes were evaluated using data from 93 natural lakes and 119 reservoirs situated in the temperate zone. Most of the already existing models predicted R relatively successfully in lakes while it was seriously under-estimated in reservoirs. A statistical analysis indicated the main causes of differences in R between lakes and reservoirs: (a) distinct relationships between P sedimentation coefficient, depth, and water residence time; (b) existence of significant inflow–outflow P concentration gradients in reservoirs. Two new models of different complexity were developed for estimating R in reservoirs: , where τ is water residence time (year), was derived from the Vollenweider/Larsen and Mercier model by adding a calibrated parameter accounting for spatial P non-homogeneity in the water body, and is applicable for reservoirs but not lakes, and , where [P_in] is volume-weighted P concentration in all inputs to the water body (μg l⁻¹), was obtained by re-calibrating the OECD general equation, and is generally applicable for both lakes and reservoirs. These optimised models yield unbiased estimates over a large range of reservoir types.