ClO2处理含铁,锰及细菌饮用水的应用研究

为了除去水中高含量的铁，锰及细菌，采用ＣｌＯ２氧化Ｆｅ＾２＋，Ｍｎ＾２＋和灭菌的方法。研究结果表明，处理后水平铁，锰都末检出，细菌指标符合国家饮用水标准。此法具有工艺简单，操作方便，反应速度快，去除率极高，不产生致癌物质ＴＨＭ、且能很好地除水中的异味及色度等优点。此法适用于各种生活给水系统。     

太阳能光催化降解法去除水中罗丹明染料的研究

在太阳光的紫外线辐射下，应用载有ＴｉＯ２薄层的平板式光催化反应器，进行了光催化降解法去除水中罗丹明染料的试验，结果表明，当紫外线辐射强度平均为３３Ｗ／ｍ＾２，反应时间为１８ｍｉｎ时，水中罗丹明染料浓度由１０ｍｇ／Ｌ降至０．０１ｍｇ／Ｌ，在室国家排放标准，探讨了太阳能光催化反应系统的改进方向及工业化应用的有关问题。     

二氧化硫排放总量控制若干问题的思考

根据国家《“十一五”规划纲要》对削减二氧化硫排放总量的要求，在对电力行业脱硫现状及前景的具体阐述中指出实现这个目标的可能性，并从多方面对二氧化硫总量控制的关键问题进行了详尽的论述与分析。     

TiO2光催化氧化的研究进展

概述了TiO2光催化氧化降解水中污染物的原理及TiO2光催化剂的制备，提出了增强其活性的途径。TiO2光催化氧化可应用于印染、农药、造纸等工业废水及饮用水处理中，研制高效的负栽型纳米TiO2光催化剂、解决太阳能利用问题、开发多功能光催化反应器是今后TiO2光催化氧化的发展趋势。     

淮河流域旱涝易发区农田的陆气相互作用——CO2通量、能量交换和水汽输送的季节变化特征

利用淮河流域旱涝易发区的安徽省寿县农田下垫面陆气相互作用观测试验资料,重点分析观测期内CO2通量、能量交换和水汽输送的季节变化,并讨论了与此有关的辐射分量通量、下垫面反射率、波恩比、能量闭合守恒、土壤温度和土壤湿度的季节变化.结果表明CO2通量、能量分配受地表农作物长势影响明显,其中,水稻灌浆、成熟期,被稻田吸收的CO2通量最大可超过2 mg·m-2·s-1,潜热通量达到正的极大值.稻田光合作用最旺盛时期吸收的CO2通量和释放的潜热通量均大于小麦田光合作用最旺盛时期的对应量.较大土壤热通量对应于较低的土壤水含量.试验观测期的下垫面平均反射率为0.14.作物生长期,稻田表面潜热是下垫面吸收能量的主要消费者,小麦田表面潜热和感热相当.能量闭合率ε的变化范围为0.4～1.     

南昌市环境空气质量分析和控制

利用多年的环境监测数据,分析南昌市环境空气中主要污染物尘类、二氧化硫和氮氧化物产生的原因,并提出有效控制上述污染物的具体措施。     

UV/O3复合降解水中2,4-二氯酚的试验研究

以紫外光源为主要依托,变换反应器中的不同工艺条件,分别对紫外光、臭氧和紫外/臭氧三种不同于工艺条件对水中污染物2,4-二氯酚(2 ,4-DCP)的降解规律进行研究.结果表明,UV/O3复合对2,4-DCP的降解较UV、O3单独作用效果好;溶液的酸碱度影响UV/O3对2 ,4-DCP的降解;此外,溶液中含有细菌时,E. coli的杀灭效果仍表现为UV/O3＞O3＞UV.细菌的杀灭和2,4-DCP的降解均消耗羟基自由基,形成竞争反应,从而影响到2,4-DCP的降解效果.     

绵阳市大气主要污染物浓度变化规律试析

通过分析绵阳市近几年来大气主要污染物的监测数据，揭示了其时空分布特征及成因，并有针对性地提出了一些防治对策。     

NITROGEN AND ORGANIC MATTER LOSSES IN NO‐TILL CORN CROPPING SYSTEMS1

ABSTRACT: Intensive cropping systems based on mechanical movement of soil have induced land degradation in most agricultural areas due to soil erosion and soil fertility losses. Thus, farmers have been increasing fertilization rates to maintain an economically competitive crop yield. This practice has resulted in water quality degradation and lake eutrophication in many agricultural watersheds. Research was conducted in the Patzcuaro watershed in central Mexico to develop appropriate technology that prevents nonpoint source pollution from fertilizers. Organic matter (OM) and nitrogen (N) losses in runoff and nitrate (NO₃‐N) percolation in Andisols with corn under conventional till (CT) and no‐till (NT) treatments using variable percentages of crop residue as soil cover were investigated for steep‐slope agriculture. USLE type runoff plots were used to collect water runoff, while suction tubes with porous caps at 30, 60, and 90 cm depth were used to sample soil water solutes for NO₃‐N analyses. Results indicated a significant reduction of N and OM losses in runoff as residue cover increased in the NT treatments. Inorganic N in runoff was 25 kg/ha for NT without residue cover (NT‐0) and 6 kg/ha for the NT with 100 percent residue cover (NT‐100). Organic matter losses in runoff were 157 and 24 kg/ha for the NT‐0 and NT‐100 treatments, respectively. Nitrate‐N percolation was evident in CT and NT with 100 percent residue cover (NT‐100). However, NT‐100 had higher NO₃‐N concentration at the root zone, suggesting the possibility of reducing fertilization rates with the use of NT treatments.     

MODELING THE IMPACT OF MULTICOMPONENT VOCs ON GROUND WATER USING THE STEFAN‐MAXWELL EQUATION1

ABSTRACT: Computer programs that model the fate and transport of organic contaminants through porous media typically use Fick's first law to calculate vapor phase diffusion. Fick's first law, however, is limited to the case of a single, dilute species diffusing into a stagnant, high concentration, bulk vapor phase. When dealing with more than one diffusing species and at higher concentrations, the multicomponent coupling effects on vapor phase diffusion and advection of the various constituents become significant. VLEACH, a one‐dimensional finite difference model developed for the U.S. Environmental Protection Agency (USEPA), is typical of the models using Fick's first law to model vapor‐phase diffusion. The VLEACH model was modified to accommodate up to 10 components and to calculate the binary diffusion coefficients for each of the components based on molecular weight, molecular volume, temperature and pressure, and to address the coupling effects on multiple component vapor phase diffusion and its impact on ground water. The resulting model was renamed MC‐CHEMSOIL. At low vapor phase concentrations, MC‐CHEMSOIL predicts identical ground water impacts (dissolved phase loading) to those from VLEACH 2.2a. At higher vapor phase concentrations, however, the relative difference between the models exceeded 20 percent.