纳米生态建筑涂料光催化降解甲醛的研究

以掺加纳米TiO2制备的光催化建筑涂料为催化剂,研究了在紫外光照条件下对气态甲醛的催化降解,并探讨了纳米催化剂晶型、用量和吸附量对光催化降解甲醛的影响。实验结果表明,锐钛型纳米TiO2具有较高的光催化降解甲醛的活性,1h甲醛的降解率可达到70％左右,产物主要为二氧化碳和水;光催化降解甲醛受到涂膜上吸附量的较大影响;该涂料对甲醛的光催化降解反应表现出一级动力学速率规律,且具有良好的线性关系。     

工业点源大气污染扩散空间信息系统

开发了一个基于高斯扩散的大气污染扩散空间信息系统,用于模拟工业点源污染对区域大气质量的影响。该工业点源污染模型包括工业点源数据库、扩散参数、气象条件和大气质量评价4个主要数据库。用该模型计算上海市主要工业区的SO2排放,结果表明,该模型为模拟SO2污染扩散提供了一个有效便捷的方法。     

臭氧氧化污泥的试验研究

采用接触反应柱对污泥臭氧氧化过程中污泥性质的变化进行了研究。结果表明,在相同臭氧投量下,低浓度臭氧分解污泥的效率较高;在臭氧投量为0．1gO3／gss、臭氧浓度为16．8mg／L时,臭氧化使污泥溶液中的溶解性TOC从114．9mg／L增加到803．7mg／L;臭氧氧化后溶解性IC(无机碳)从2．63mg／L减少到1．02mg／L;臭氧氧化显著提高了污泥沉淀性能,氧化后污泥的SV和SVI相当于氧化前28．9％和58％。臭氧氧化使污泥的pH从初始的7．13降低到投量增加到0．44gO3／gss时的4．40。污泥臭氧化的最佳投量点为0．1gO3／gSS。     

有机碳源和溶解氧对亚硝酸盐生物硝化的影响研究

从城市污水处理厂的活性污泥中纯化分离到高活性硝化菌株N-20（Nitrobacter sp．）,在一种新型材料Carbon Foam的表面挂膜;通过对菌株N-20进行摇瓶试验,选择添加有机碳源的种类,将其在pH7．5～8．0、温度28℃的条件下,分别以NaNO2和K2HPO4为氮源和磷源,通过生物滤塔中的液相连续试验,考察在不同DO的条件下有机碳源对硝化作用的影响规律。结果表明,以葡萄糖作为有机碳源,DO≥2mg／L,葡萄糖低于20mg／L时,生物滤塔内可进行正常硝化,NO2^--N的硝化去除率维持在90％左右,随着葡萄糖浓度的增加,硝化去除率下降到70％;DO≤2mg／L,葡萄糖对硝化作用的抑制增强,当葡萄糖为200mg／L时,生物滤塔中NO^2-—N的硝化去除率仅为32％。     

FeSO4/Ac脱硫剂脱硫性能的研究

为寻找经济适用且具有较高效率的烟气脱硫方法．研制了FeSO4／Ac脱硫剂。并对FeSO4／Ac脱硫剂的脱硫性能进行了实验研究。实验研究结果显示,烟气中O2、水蒸气含量的多少及脱硫温度的高低会影响FeSO4／Ac脱硫剂的脱硫性能。实验证明,当n(O2):n(SO2)=7～10、n(H2O)：n(SO2)=3～5、脱硫温度取120℃时,FeSO4／Ac脱硫剂具有良好的脱硫性能,脱硫效率可达92．1％～96．8％。FeSO4／Ac脱硫剂能够再生重复使用。采用水蒸气加热再生法对FeSO4／Ac脱硫剂进行再生,实验结果显示,经4次加热法再生的FeSO4／Ac脱硫剂的脱硫效率仍能达到91％。     

模糊综合评价在天然水体水质评价中的应用研究

采用模糊数学方法,对河网地区面源污染影响较大的代表性河流的水质状况进行综合评价研究。根据监测断面水质污染特点,确定了8个指标作为评价因子,建立了评价因素矩阵,计算出影响因子的权重。在此基础上,提出了模糊综合评价的水质级别,证明该河网地区的污染物主要是氮、磷和有机物。     

光纤ZnO薄膜的制备及光催化性能研究

实验利用射频磁控溅射镀膜工艺,分别在光纤和石英玻璃上成功制备了ZnO薄膜。采用X射线衍射仪、原子力显微镜和荧光分光光度计对薄膜进行了测试分析,并对其光催化降解苯酚的性能进行了对比测试。结果表明,该薄膜具有良好的C轴取向性,光致发光峰分别位于362nm、421nm和486nm附近,且随着薄膜样品晶粒的减小而出现蓝移,光纤上ZnO薄膜的光催化能力是以石英玻璃为基底的ZnO薄膜的193倍,光催化效果显著。     

构建循环经济体系的系统经济学分析

本文首先从经济系统与循环经济体系之间的关系出发,论述了大力建设循环经济体系的关键点;接着描述传统经济系统中存在的主要问题,分析现有循环经济研究框架的不足;最后从系统经济学角度提出了一些完善中国循环经济体系建设的对策。     

Application of MSWI fly ash on acid soil and its effect on the environment

This study evaluated the feasibility of using municipal solid waste incinerator (MSWI) fly ash as acid soil amendment. In particular, changes in soil physicochemical properties and the potential environmental problems caused by the application of MSWI fly ash were investigated. The results showed that application of MSWI fly ash to the acid soil could raise the soil pH. The contents of rapidly available P and K, and slowly available K in the amended soil had a linear relationship with the addition ratio of MSWI fly ash. An addition of less than 20% of MSWI could raise the soil respiratory intensity after incubation for 3-5 days. Application of MSWI fly ash to the soil increased its content of water soluble salts and heavy metals, which could cause phytotoxicity in the plants. Therefore, the addition of MSWI fly ash to the soil should not be excessive, and less than 5-10% is an advisable addition level depending on the acidity of the soil and the plants growing on it.     

Estimating Forest Ecosystem Evapotranspiration at Multiple Temporal Scales With a Dimension Analysis Approach1

Abstract:  It is critical that evapotranspiration (ET) be quantified accurately so that scientists can evaluate the effects of land management and global change on water availability, streamflow, nutrient and sediment loading, and ecosystem productivity in watersheds. The objective of this study was to derive a new semi‐empirical ET modeled using a dimension analysis method that could be used to estimate forest ET effectively at multiple temporal scales. The model developed describes ET as a function of water availability for evaporation and transpiration, potential ET demand, air humidity, and land surface characteristics. The model was tested with long‐term hydrometeorological data from five research sites with distinct forest hydrology in the United States and China. Averaged simulation error for daily ET was within 0.5 mm/day. The annual ET at each of the five study sites were within 7% of measured values. Results suggest that the model can accurately capture the temporal dynamics of ET in forest ecosystems at daily, monthly, and annual scales. The model is climate‐driven and is sensitive to topography and vegetation characteristics and thus has potential to be used to examine the compounding hydrologic responses to land cover and climate changes at multiple temporal scales.